AWS CodeDeploy Getting Started - Pop-up Loft Tel Aviv
•
0 likes•549 views
In this session, we will walk through the process for getting started with AWS CodeDeploy. AWS CodeDeploy is a service that automates code deployments to any instance, including Amazon EC2 instances and instances running on-premises. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications. Join this workshop and learn how to get started with this service for deploying and updating your applications.
Report
Share
Report
Share
Download to read offline
Recommended
AWS re:Invent 2016: Automated DevOps and Continuous Delivery (DEV211)
In the digital economy, the fast development and deployment of applications is critical to success. To thrive in this application-oriented business environment, IT organizations are acting now to change their tools and processes to better support agile development methodologies. This session will cover performance benchmarking, benefits of migrating existing workloads, use of key services like Amazon RDS and AWS CloudHSM, and demonstrate how to deploy applications securely and at scale. Session sponsored by Cisco.
Application Deployment on AWS - Startup Talks June 2015
Learn how AWS services can make it easier for you to rapidly release new features, help you avoid downtime during deployment, and handle the complexity of updating your applications.
AWS re:Invent 2016: Operations Automation and Infrastructure Management with ...
At Capital One, we are using Docker and container technologies to advance microservices adoption, increase efficiencies of cloud resources, and decouple the application layer from the underlying infrastructure. Capital One is a federated organization with a “you build it, you own it” culture that provides autonomy and speed for delivery teams. Each federated team runs and operates their container management stack. In order for the federated teams to accelerate their cloud and container-based apps adoption, we created self-service automation tools for creation and operations management of container management stack.
In this session, we explore our push-button automation tool that includes capabilities such as the creation and management of Amazon ECS clusters, an Application Load Balancer for dynamic and context-based routing and provides a user interface via a Jenkins Job or a AWS Lambda function. Our tooling also includes a home-grown dynamic service discovery and routing for applications requiring two-way mutual SSL authentication. We talk through how Capital One regularly updates AMIs with the latest patches and software versions using an automated solution that leverages AWS Lambda to rehydrate the Amazon ECS compute cluster with the latest AMI without causing any downtime. We also discuss how we created a sophisticated canary deployment automation using AWS Lambda and application services, where users can specify how to migrate to a new version of containerized apps and manage the deployment.
AWS empowers enterprise Docker deployment with Amazon ECS and an ecosystem of cloud services and serverless architectures, making containerization in mission-critical environments easier than ever.
NEW LAUNCH! Developing Serverless C# Applications
Just as serverless application development is rapidly becoming the most popular way to bring highly scalable applications to the cloud, .NET has undergone radical changes with .NET Core to become a premier development platform for the cloud. In this session, you will learn how to use the newly launched C# support for .NET Core with AWS Lambda to create highly scalable serverless applications that target platforms from the traditional desktop to mobile devices. We will demonstrate how to write, test, and deploy C# code to AWS Lambda and see how we can leverage our serverless back end from mobile applications.
AWS re:Invent 2016: 6 Million New Registrations in 30 Days: How the Chick-fil...
The document summarizes how Chick-fil-A scaled their mobile app, Chick-fil-A One, during its launch using Amazon DynamoDB and AWS services. It discusses how the app saw 6 million registrations in 30 days and how the architecture was designed using microservices and DynamoDB to handle the massive scale. It also provides lessons learned around load testing, visibility, and deployment strategies when handling large volumes of traffic.
Getting Started with AWS IoT
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device using the protocol of their choice. We will discuss how devices can connect securely using MQTT and HTTP protocols, and how can developers and businesses can leverage the AWS IoT Rules Engine, Thing Shadows, and accelerate prototype development using AWS IoT Device SDKs. We will cover major hardware platforms from Arduino, Marvell, Dragonboard and MediaTek.
AWS re:Invent 2016: Develop, Build, Deploy, and Manage Containerized Services...
In this session, we walk through the simple process of deploying and managing your own Linux-based application in the cloud and also discuss key use-cases and benefits to automated configuration, deployment, and administration of application stacks. Session sponsored by Red Hat.
AWS re:Invent 2016: State of the Union: Containers (CON316)
Join us to learn about the latest developments from Amazon ECS and the container ecosystem. Deepak Singh, General Manager of AWS Container Services, discusses the evolution of containers on AWS and shares our vision for continued innovation in this space. You also hear about how other companies are using the AWS container platform to innovate and build new businesses.
Recommended
AWS re:Invent 2016: Automated DevOps and Continuous Delivery (DEV211)
In the digital economy, the fast development and deployment of applications is critical to success. To thrive in this application-oriented business environment, IT organizations are acting now to change their tools and processes to better support agile development methodologies. This session will cover performance benchmarking, benefits of migrating existing workloads, use of key services like Amazon RDS and AWS CloudHSM, and demonstrate how to deploy applications securely and at scale. Session sponsored by Cisco.
Application Deployment on AWS - Startup Talks June 2015
Learn how AWS services can make it easier for you to rapidly release new features, help you avoid downtime during deployment, and handle the complexity of updating your applications.
AWS re:Invent 2016: Operations Automation and Infrastructure Management with ...
At Capital One, we are using Docker and container technologies to advance microservices adoption, increase efficiencies of cloud resources, and decouple the application layer from the underlying infrastructure. Capital One is a federated organization with a “you build it, you own it” culture that provides autonomy and speed for delivery teams. Each federated team runs and operates their container management stack. In order for the federated teams to accelerate their cloud and container-based apps adoption, we created self-service automation tools for creation and operations management of container management stack.
In this session, we explore our push-button automation tool that includes capabilities such as the creation and management of Amazon ECS clusters, an Application Load Balancer for dynamic and context-based routing and provides a user interface via a Jenkins Job or a AWS Lambda function. Our tooling also includes a home-grown dynamic service discovery and routing for applications requiring two-way mutual SSL authentication. We talk through how Capital One regularly updates AMIs with the latest patches and software versions using an automated solution that leverages AWS Lambda to rehydrate the Amazon ECS compute cluster with the latest AMI without causing any downtime. We also discuss how we created a sophisticated canary deployment automation using AWS Lambda and application services, where users can specify how to migrate to a new version of containerized apps and manage the deployment.
AWS empowers enterprise Docker deployment with Amazon ECS and an ecosystem of cloud services and serverless architectures, making containerization in mission-critical environments easier than ever.
NEW LAUNCH! Developing Serverless C# Applications
Just as serverless application development is rapidly becoming the most popular way to bring highly scalable applications to the cloud, .NET has undergone radical changes with .NET Core to become a premier development platform for the cloud. In this session, you will learn how to use the newly launched C# support for .NET Core with AWS Lambda to create highly scalable serverless applications that target platforms from the traditional desktop to mobile devices. We will demonstrate how to write, test, and deploy C# code to AWS Lambda and see how we can leverage our serverless back end from mobile applications.
AWS re:Invent 2016: 6 Million New Registrations in 30 Days: How the Chick-fil...
The document summarizes how Chick-fil-A scaled their mobile app, Chick-fil-A One, during its launch using Amazon DynamoDB and AWS services. It discusses how the app saw 6 million registrations in 30 days and how the architecture was designed using microservices and DynamoDB to handle the massive scale. It also provides lessons learned around load testing, visibility, and deployment strategies when handling large volumes of traffic.
Getting Started with AWS IoT
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device using the protocol of their choice. We will discuss how devices can connect securely using MQTT and HTTP protocols, and how can developers and businesses can leverage the AWS IoT Rules Engine, Thing Shadows, and accelerate prototype development using AWS IoT Device SDKs. We will cover major hardware platforms from Arduino, Marvell, Dragonboard and MediaTek.
AWS re:Invent 2016: Develop, Build, Deploy, and Manage Containerized Services...
In this session, we walk through the simple process of deploying and managing your own Linux-based application in the cloud and also discuss key use-cases and benefits to automated configuration, deployment, and administration of application stacks. Session sponsored by Red Hat.
AWS re:Invent 2016: State of the Union: Containers (CON316)
Join us to learn about the latest developments from Amazon ECS and the container ecosystem. Deepak Singh, General Manager of AWS Container Services, discusses the evolution of containers on AWS and shares our vision for continued innovation in this space. You also hear about how other companies are using the AWS container platform to innovate and build new businesses.
SRV201 Getting Started with Docker on AWS
This document discusses containers and Amazon ECS. It provides an overview of containers and their benefits like portability and efficiency. It then describes Amazon ECS and how it provides a fully managed container orchestration service. Key aspects covered include clusters, tasks, services, and scheduling. It also outlines some benefits of Amazon ECS like elastic scaling and integration with other AWS services. Finally, it provides steps to run services using the ECS CLI to register a task definition and create a cluster and service.
Deep Dive on Microservices and Amazon ECS
Microservices is a software architectural method where you decompose complex applications into smaller, independent services. Containers are great for running small decoupled services, but how do you coordinate running microservices in production at scale and what AWS services do you use?
In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will also demonstrate how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.
Getting Started with AWS Lambda and the Serverless Cloud
This document provides an overview of AWS Lambda and serverless computing. It discusses why AWS Lambda is useful by avoiding the need to manage servers. It then explains how AWS Lambda works by allowing users to run code in response to events without provisioning servers. The document outlines several common use cases for AWS Lambda like web applications, data processing, and chatbots. It also provides examples of serverless architectures and best practices for using AWS Lambda including limiting function size, externalizing configuration, and engaging AWS support for assistance with scaling.
SRV302 Deep Dive on Serverless Application Development
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
Hybrid IT: A Stepping Stone to All-In - Pop-up Loft TLV 2017
This session demonstrates how customers can leverage hybrid IT as a transitional step on the path to going all-in on AWS. We provide a step-by-step walk-through focusing on seamless migration to the cloud, with consideration given to existing data centers, equipment, and staff retraining. Learn about the suite of capabilities AWS provides to ease and simplify your journey to the cloud.
AWS Innovate: Moving Microsoft .Net applications one container at a time - Da...
AWS Innovate: Moving Microsoft .Net applications one container at a time - Da...Amazon Web Services Korea
This document discusses moving Microsoft .NET applications to containers. It provides a brief history of .NET and its evolution to support cross-platform development. It explores using .NET and Docker to develop applications on Windows and deploy them in Linux containers on AWS. It demonstrates developing an ASP.NET application on Windows and running it in a Linux container on AWS EC2. It summarizes that Microsoft has made cross-platform development easier with .NET Core, existing applications can run in Docker containers under Mono or .NET Core, and AWS supports .NET and Docker applications through services like EC2 and ECS.SRV203 Getting Started with AWS Lambda and the Serverless Cloud
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools
Today’s cutting-edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes that Amazon’s engineers use to practice DevOps and discuss how you can bring these processes to your company by using a new set of AWS tools (AWS CodePipeline and AWS CodeDeploy). These services were inspired by Amazon's own internal developer tools and DevOps culture.
AWS re:Invent 2016: Building SaaS Offerings for Desktop Apps with Amazon AppS...
1) AVEVA wanted to move its desktop applications to the cloud to provide instant access from any device but had concerns about securing access to customer project data and costs with Amazon AppStream.
2) AVEVA worked with Amazon to address these concerns in Amazon AppStream 2.0, which allows launching applications in a customer's VPC and passing parameters at session launch like credentials and customization packages.
3) AVEVA now uses Amazon AppStream 2.0 to securely deliver its applications to users through a managed streaming service without needing to install client software.
Cost Optimization at Scale
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
DevOps for the Enterprise: Continuous Deployment
Once a team is able to automatically produce deliverables, deploy them in a test environment and automatically assess some aspects of its quality, it has all the tools in hand to be able to automatically roll out code in a production environment. While the main tools and techniques are already in place, this step cannot be taken lightly and presents its own challenges.
This presentation explains the different techniques for rolling out code in a production environment while limiting or avoiding downtime. More advanced techniques such as A / B testing or deployments rollbacks will also be covered.
Topics included in this slide:
- Using Amazon Route53 to balance traffic between two deployments.
- Pushing updates to the production environment using Amazon OpsWorks
Watch a recording of this presentation here:
Migrating your Databases to Amazon Aurora - AWS April 2016 Webinar Series
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Migrating to Amazon Aurora from other database engine can help boost performance, reliability and availability of your databases while substantially reducing the total cost of ownership (TCO).
This webinar will introduce you to Amazon Aurora and focus on different options available for migration from your existing commercial and open source databases to Amazon Aurora. We will walk you through the entire process of migrating your existing databases to Amazon Aurora using AWS Database Migration Service.
Learning Objectives:
Learn about Amazon Aurora
Learn about Amazon Aurora's performance, reliability and availability, compared with open source and commercial databases
Key aspects of database migration
Options available to migrate MySQL Databases from on-premises, EC2 and RDS to Amazon Aurora
How to migrate Open Source and Commercial databases to Amazon Aurora using AWS Database Migration Service
Creating Your Virtual Data Center
The document discusses setting up a virtual private cloud (VPC) on AWS. It provides steps for choosing an IP address range and subnets across availability zones. It also covers creating a route to the internet, network access control lists, and security groups. The document discusses connectivity options like routing by subnet, NAT gateways, VPN connections, and VPC peering. It includes a customer case study from Quby who simplified their networking architecture by moving to AWS VPC and automating infrastructure provisioning.
Hack-Proof Your Cloud: Responding to 2016 Threats
Migrating from the data center to the cloud requires users to rethink much of what they do to secure their applications. CloudCheckr COO Aaron Klein will highlight effective strategies and tools that AWS users can employ to improve their security posture. The idea of physical security morphs as infrastructure becomes virtualized by AWS APIs. In a new world of ephemeral, auto-scaling infrastructure, users need to adapt their security architecture to face both compliance and security threats. Specific emphasis will be placed upon leveraging native AWS services and the talk will include concrete steps that users can begin employing immediately. Session sponsored by CloudCheckr.
Automated DevOps Workflows with Chef on AWS
DevOps on the AWS Cloud introduces DevOps practices that can help companies innovate faster for customers. Traditional development models are becoming obsolete as business becomes more software-driven and users expect continuous improvement and stability. DevOps practices like infrastructure as code, microservices, logging and monitoring, and continuous integration/delivery enabled by AWS services can help increase business agility while decreasing development cycle times. Chef provides tools that integrate with AWS to enable common DevOps practices like provisioning infrastructure with code and automating continuous delivery workflows. Gannett uses Chef and AWS together in their development pipeline to test infrastructure changes and application deployments.
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)
In this session, we dive deep into how you can integrate Amazon CloudFront and related services into your application, be agile in developing and adapting the application, and follow best practices when configuring the services to improve security and performance, all while reducing costs. Attend this session and learn how to avoid needless forwarding of headers and cookies, test your application when making changes to the origin, version your configuration changes, monitor usage and automate security, create templates for new distributions, configure SSL/TLS certificates, and more.
Hands on Lab: Windows Workloads on AWS - June 2017 AWS Online Tech Talks
Learning Objectives:
- Securing network access to Amazon EC2 Instances with Security Groups, Launch and configure a Windows virtual machine
- Bootstrapping using Powershell
- Creating Key Pairs for authentication
AWS helps you build, deploy, scale, and manage Microsoft applications quickly, easily, more securely, and more cost-effectively. This Hands on Lab workshop will give you everything you need to get started deploying Windows Workloads on AWS, starting with creating and securing a new EC2 Windows instance.
SRV412 Deep Dive on CICD and Docker
How do you do continuous delivery when using Docker and Amazon ECS?
In this session, we’ll explore basic continuous integration and delivery concepts and how they can be applied to Docker and Amazon ECS. We will discuss how you can use AWS CodePipeline to monitor a GitHub repository for new commits, AWS CodeBuild to create a new Docker container image and to push it into Amazon ECR, and AWS CloudFormation to deploy the new container image to production on Amazon ECS. We will end with a demo of this entire toolchain.
AWS re:Invent 2016: Stop Managing Email Infrastructure: Move to Amazon WorkMa...
Amazon WorkMail is a secure, managed business email and calendar service with support for existing desktop and mobile email clients. Amazon WorkMail enables users to access email, calendars, and contacts using the Amazon WorkMail web app, Microsoft Outlook, or native iOS or Android email applications. In this session, we’ll show you how to quickly create an Amazon WorkMail organization, take a look at the encryption model employed by Amazon WorkMail for data at rest, set up interoperability between existing on-premises Microsoft Exchange servers and Amazon WorkMail and dive into a host of new features that are now available on Amazon WorkMail.
使用 AWS 負載平衡服務讓您的應用程式規模化
AWS Elastic Load Balancing（彈性負載平衡）能自動分配處理多個 Amazon EC2 執行個體的連入應用流量，讓您的應用能獲得容錯能力，全方位提供路由傳送應用流量所需的負載平衡容量。Application Load Balancer（應用負載平衡器）是一款 Elastic Load Balancing（彈性負載平衡）服務可選用的負載平衡工具，並且可在應用層運作。本場專題演講將介紹 Application Load Balancer（應用負載平衡器）、探索 Application Load Balancer（應用負載平衡器）的功能及特色、說明最佳實務，以及協助您上手 Application Load Balancer (應用負載平衡器)
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools
Today’s cutting-edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes that Amazon’s engineers use to practice DevOps and discuss how you can bring these processes to your company by using a new set of AWS tools (AWS CodePipeline and AWS CodeDeploy). These services were inspired by Amazon's own internal developer tools and DevOps culture.
AWS Code Services
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous integration and delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using a set of application lifecycle management tools from AWS: the newly announced AWS CodeBuild service, AWS CodePipeline, and AWS CodeDeploy.
More Related Content
What's hot
SRV201 Getting Started with Docker on AWS
This document discusses containers and Amazon ECS. It provides an overview of containers and their benefits like portability and efficiency. It then describes Amazon ECS and how it provides a fully managed container orchestration service. Key aspects covered include clusters, tasks, services, and scheduling. It also outlines some benefits of Amazon ECS like elastic scaling and integration with other AWS services. Finally, it provides steps to run services using the ECS CLI to register a task definition and create a cluster and service.
Deep Dive on Microservices and Amazon ECS
Microservices is a software architectural method where you decompose complex applications into smaller, independent services. Containers are great for running small decoupled services, but how do you coordinate running microservices in production at scale and what AWS services do you use?
In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will also demonstrate how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.
Getting Started with AWS Lambda and the Serverless Cloud
This document provides an overview of AWS Lambda and serverless computing. It discusses why AWS Lambda is useful by avoiding the need to manage servers. It then explains how AWS Lambda works by allowing users to run code in response to events without provisioning servers. The document outlines several common use cases for AWS Lambda like web applications, data processing, and chatbots. It also provides examples of serverless architectures and best practices for using AWS Lambda including limiting function size, externalizing configuration, and engaging AWS support for assistance with scaling.
SRV302 Deep Dive on Serverless Application Development
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
Hybrid IT: A Stepping Stone to All-In - Pop-up Loft TLV 2017
This session demonstrates how customers can leverage hybrid IT as a transitional step on the path to going all-in on AWS. We provide a step-by-step walk-through focusing on seamless migration to the cloud, with consideration given to existing data centers, equipment, and staff retraining. Learn about the suite of capabilities AWS provides to ease and simplify your journey to the cloud.
AWS Innovate: Moving Microsoft .Net applications one container at a time - Da...
AWS Innovate: Moving Microsoft .Net applications one container at a time - Da...Amazon Web Services Korea
This document discusses moving Microsoft .NET applications to containers. It provides a brief history of .NET and its evolution to support cross-platform development. It explores using .NET and Docker to develop applications on Windows and deploy them in Linux containers on AWS. It demonstrates developing an ASP.NET application on Windows and running it in a Linux container on AWS EC2. It summarizes that Microsoft has made cross-platform development easier with .NET Core, existing applications can run in Docker containers under Mono or .NET Core, and AWS supports .NET and Docker applications through services like EC2 and ECS.SRV203 Getting Started with AWS Lambda and the Serverless Cloud
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools
Today’s cutting-edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes that Amazon’s engineers use to practice DevOps and discuss how you can bring these processes to your company by using a new set of AWS tools (AWS CodePipeline and AWS CodeDeploy). These services were inspired by Amazon's own internal developer tools and DevOps culture.
AWS re:Invent 2016: Building SaaS Offerings for Desktop Apps with Amazon AppS...
1) AVEVA wanted to move its desktop applications to the cloud to provide instant access from any device but had concerns about securing access to customer project data and costs with Amazon AppStream.
2) AVEVA worked with Amazon to address these concerns in Amazon AppStream 2.0, which allows launching applications in a customer's VPC and passing parameters at session launch like credentials and customization packages.
3) AVEVA now uses Amazon AppStream 2.0 to securely deliver its applications to users through a managed streaming service without needing to install client software.
Cost Optimization at Scale
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
DevOps for the Enterprise: Continuous Deployment
Once a team is able to automatically produce deliverables, deploy them in a test environment and automatically assess some aspects of its quality, it has all the tools in hand to be able to automatically roll out code in a production environment. While the main tools and techniques are already in place, this step cannot be taken lightly and presents its own challenges.
This presentation explains the different techniques for rolling out code in a production environment while limiting or avoiding downtime. More advanced techniques such as A / B testing or deployments rollbacks will also be covered.
Topics included in this slide:
- Using Amazon Route53 to balance traffic between two deployments.
- Pushing updates to the production environment using Amazon OpsWorks
Watch a recording of this presentation here:
Migrating your Databases to Amazon Aurora - AWS April 2016 Webinar Series
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Migrating to Amazon Aurora from other database engine can help boost performance, reliability and availability of your databases while substantially reducing the total cost of ownership (TCO).
This webinar will introduce you to Amazon Aurora and focus on different options available for migration from your existing commercial and open source databases to Amazon Aurora. We will walk you through the entire process of migrating your existing databases to Amazon Aurora using AWS Database Migration Service.
Learning Objectives:
Learn about Amazon Aurora
Learn about Amazon Aurora's performance, reliability and availability, compared with open source and commercial databases
Key aspects of database migration
Options available to migrate MySQL Databases from on-premises, EC2 and RDS to Amazon Aurora
How to migrate Open Source and Commercial databases to Amazon Aurora using AWS Database Migration Service
Creating Your Virtual Data Center
The document discusses setting up a virtual private cloud (VPC) on AWS. It provides steps for choosing an IP address range and subnets across availability zones. It also covers creating a route to the internet, network access control lists, and security groups. The document discusses connectivity options like routing by subnet, NAT gateways, VPN connections, and VPC peering. It includes a customer case study from Quby who simplified their networking architecture by moving to AWS VPC and automating infrastructure provisioning.
Hack-Proof Your Cloud: Responding to 2016 Threats
Migrating from the data center to the cloud requires users to rethink much of what they do to secure their applications. CloudCheckr COO Aaron Klein will highlight effective strategies and tools that AWS users can employ to improve their security posture. The idea of physical security morphs as infrastructure becomes virtualized by AWS APIs. In a new world of ephemeral, auto-scaling infrastructure, users need to adapt their security architecture to face both compliance and security threats. Specific emphasis will be placed upon leveraging native AWS services and the talk will include concrete steps that users can begin employing immediately. Session sponsored by CloudCheckr.
Automated DevOps Workflows with Chef on AWS
DevOps on the AWS Cloud introduces DevOps practices that can help companies innovate faster for customers. Traditional development models are becoming obsolete as business becomes more software-driven and users expect continuous improvement and stability. DevOps practices like infrastructure as code, microservices, logging and monitoring, and continuous integration/delivery enabled by AWS services can help increase business agility while decreasing development cycle times. Chef provides tools that integrate with AWS to enable common DevOps practices like provisioning infrastructure with code and automating continuous delivery workflows. Gannett uses Chef and AWS together in their development pipeline to test infrastructure changes and application deployments.
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)
In this session, we dive deep into how you can integrate Amazon CloudFront and related services into your application, be agile in developing and adapting the application, and follow best practices when configuring the services to improve security and performance, all while reducing costs. Attend this session and learn how to avoid needless forwarding of headers and cookies, test your application when making changes to the origin, version your configuration changes, monitor usage and automate security, create templates for new distributions, configure SSL/TLS certificates, and more.
Hands on Lab: Windows Workloads on AWS - June 2017 AWS Online Tech Talks
Learning Objectives:
- Securing network access to Amazon EC2 Instances with Security Groups, Launch and configure a Windows virtual machine
- Bootstrapping using Powershell
- Creating Key Pairs for authentication
AWS helps you build, deploy, scale, and manage Microsoft applications quickly, easily, more securely, and more cost-effectively. This Hands on Lab workshop will give you everything you need to get started deploying Windows Workloads on AWS, starting with creating and securing a new EC2 Windows instance.
SRV412 Deep Dive on CICD and Docker
How do you do continuous delivery when using Docker and Amazon ECS?
In this session, we’ll explore basic continuous integration and delivery concepts and how they can be applied to Docker and Amazon ECS. We will discuss how you can use AWS CodePipeline to monitor a GitHub repository for new commits, AWS CodeBuild to create a new Docker container image and to push it into Amazon ECR, and AWS CloudFormation to deploy the new container image to production on Amazon ECS. We will end with a demo of this entire toolchain.
AWS re:Invent 2016: Stop Managing Email Infrastructure: Move to Amazon WorkMa...
Amazon WorkMail is a secure, managed business email and calendar service with support for existing desktop and mobile email clients. Amazon WorkMail enables users to access email, calendars, and contacts using the Amazon WorkMail web app, Microsoft Outlook, or native iOS or Android email applications. In this session, we’ll show you how to quickly create an Amazon WorkMail organization, take a look at the encryption model employed by Amazon WorkMail for data at rest, set up interoperability between existing on-premises Microsoft Exchange servers and Amazon WorkMail and dive into a host of new features that are now available on Amazon WorkMail.
使用 AWS 負載平衡服務讓您的應用程式規模化
AWS Elastic Load Balancing（彈性負載平衡）能自動分配處理多個 Amazon EC2 執行個體的連入應用流量，讓您的應用能獲得容錯能力，全方位提供路由傳送應用流量所需的負載平衡容量。Application Load Balancer（應用負載平衡器）是一款 Elastic Load Balancing（彈性負載平衡）服務可選用的負載平衡工具，並且可在應用層運作。本場專題演講將介紹 Application Load Balancer（應用負載平衡器）、探索 Application Load Balancer（應用負載平衡器）的功能及特色、說明最佳實務，以及協助您上手 Application Load Balancer (應用負載平衡器)
What's hot (20)
Getting Started with AWS Lambda and the Serverless Cloud
Getting Started with AWS Lambda and the Serverless Cloud
SRV302 Deep Dive on Serverless Application Development
SRV302 Deep Dive on Serverless Application Development
Hybrid IT: A Stepping Stone to All-In - Pop-up Loft TLV 2017
Hybrid IT: A Stepping Stone to All-In - Pop-up Loft TLV 2017
AWS Innovate: Moving Microsoft .Net applications one container at a time - Da...
AWS Innovate: Moving Microsoft .Net applications one container at a time - Da...
SRV203 Getting Started with AWS Lambda and the Serverless Cloud
SRV203 Getting Started with AWS Lambda and the Serverless Cloud
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools
AWS re:Invent 2016: Building SaaS Offerings for Desktop Apps with Amazon AppS...
AWS re:Invent 2016: Building SaaS Offerings for Desktop Apps with Amazon AppS...
Migrating your Databases to Amazon Aurora - AWS April 2016 Webinar Series
Migrating your Databases to Amazon Aurora - AWS April 2016 Webinar Series
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)
Hands on Lab: Windows Workloads on AWS - June 2017 AWS Online Tech Talks
Hands on Lab: Windows Workloads on AWS - June 2017 AWS Online Tech Talks
AWS re:Invent 2016: Stop Managing Email Infrastructure: Move to Amazon WorkMa...
AWS re:Invent 2016: Stop Managing Email Infrastructure: Move to Amazon WorkMa...
Viewers also liked
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools
Today’s cutting-edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes that Amazon’s engineers use to practice DevOps and discuss how you can bring these processes to your company by using a new set of AWS tools (AWS CodePipeline and AWS CodeDeploy). These services were inspired by Amazon's own internal developer tools and DevOps culture.
AWS Code Services
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous integration and delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using a set of application lifecycle management tools from AWS: the newly announced AWS CodeBuild service, AWS CodePipeline, and AWS CodeDeploy.
Architecting for High Availability - Pop-up Loft Tel Aviv
AWS provides a platform that is ideally suited for building highly available systems, enabling you to build reliable, affordable, fault-tolerant systems that operate with a minimal amount of human interaction. This session covers many of the high-availability and fault-tolerance concepts and features of the various services that you can use to build highly reliable and highly available applications in the AWS Cloud: architectures involving multiple Availability Zones, including EC2 best practices and RDS Multi-AZ deployments; loosely coupled and self-healing systems involving SQS and Auto Scaling; networking best practices for high availability, including Elastic IP addresses, load balancing, and DNS; leveraging services that inherently are built with high-availability and fault tolerance in mind, including S3, Elastic Beanstalk and more.
Deep Dive on Microservices and Amazon ECS
Microservices is a software architectural method where you decompose complex applications into smaller, independent services. Containers are great for running small decoupled services, but how do you coordinate running microservices in production at scale and what AWS services do you use?
In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will also demonstrate how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.
AWS CodeDeploy, AWS CodePipeline, and AWS CodeCommit: Transforming Software D...
This document summarizes a presentation about AWS CodeDeploy, CodePipeline, and CodeCommit. The presentation introduces these services for automating software deployments and releases. CodeDeploy allows automating application deployments across different environments without downtime. CodePipeline provides customizable workflows for continuous delivery. CodeCommit provides a fully managed Git source control service. The presentation demonstrates how these services help transform software development processes.
Migration to Redshift from SQL Server
RealityMine collects digital user behavior data to help companies with marketing, product development, and analyzing user patterns. They are migrating from an on-premise SQL Server data warehouse to Amazon Redshift to handle doubling data volumes. Redshift provides better performance and scalability at lower cost compared to other options. It requires extracting raw data from SQL Server without encoding issues, loading to S3, and transforming in Redshift using a star schema with careful consideration of distribution and sort keys for query performance. Ongoing database maintenance and backups are also different in Redshift.
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...
With AWS, companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100 percent API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session, we talk about some key concepts and design patterns for continuous deployment and continuous integration, two elements of lean development of applications and infrastructures.
Sundog Media Toolkit
The document discusses a cloud-based post production platform that provides asset management, collaborative review, playlist mastering, 3D visualization, and deployment options including infrastructure as a service, platform as a service and software as a service. It also discusses the platform's media facility connections, provisioned services, service architecture, workflows, scaling decisions and processes.
Next Generation Open Data Platforms | AWS Public Sector Summit 2016
The document discusses the evolution and future of open data platforms like GeoPlatform.gov, which implements goals of the National Spatial Data Infrastructure Strategic Plan. Key points include:
- GeoPlatform.gov provides a consistent portal for open geospatial data and services, and shared hosting of these resources.
- Recent improvements include new map viewers, analytics dashboards, and tools for data discovery, sharing, and collaboration.
- Future plans include expanding data registries, monitoring service quality, and providing more open APIs to developers.
- The overall aim is to advance open data sharing and make national geospatial resources more accessible, interoperable, and usable.
Using amazon machine learning to identify trends in io t data technical 201
Internet of Things is creating a tidal wave of new data including events, correlations, business value, and much more. With the proliferation of new data sets, it also introduces more potential issues, errors, and spurious values.
In this session, we will explore using Amazon Machine Learning to analyse and understand the new data collected within your IoT solution. In addition, we will learn how to discover patterns, trends, anomalies, and correlations by demonstrating the capabilities of Amazon Machine Learning and SparkML running on AWS Cloud.
Speaker: Simon Elisha, Solutions Architect, Amazon Web Services
AWS Mobile Hub
This session shows how AWS Mobile Hub can help to reduce the complexity of building mobile apps.
View webinar on demand: https://www.brighttalk.com/webcast/9019/195087
AWSome Day Intro - Stockholm 20160308
The document provides information about an AWSome Day event including opportunities to win prizes in a draw. It encourages attendees to navigate to a website for the draw and lists the prizes. It also notes that special offers will be available at their booth. The remainder of the document discusses reasons why customers use AWS, including agility, the breadth and depth of AWS platforms and services, innovation at scale, and cost savings and flexibility. It provides examples of how various companies are using AWS for tasks like development and testing, new workloads, supplementing existing workloads, migrating applications, data center migration, and moving their entire IT to the cloud.
Women in Technology: Supporting Diversity in a Technical Workplace
Diversity in the technical workforce is a valuable asset for all companies, because it encourages different types of thinking and taps into the full potential of your team. Come learn from one AWS organization how a fast-moving, fast-growing team has put in place a "diversity circle" for personal and professional development. This program provides a peer mentoring group that builds skills and establishes informal networking support. The host and active participants of this two-year program will share tips and best practices for running a diversity peer mentoring group that spans engineering, product management, and operations.
Simplestream
This document discusses launching a live streaming and SVOD platform using AWS. It describes the company's background in live streaming and their three core pillars. It discusses options for building versus buying infrastructure and how the company leveraged AWS services like EC2, RDS, S3, and CloudFront in their architecture. The document also covers some challenges faced in partnering with AWS and how AWS allows for fast deployment, self-service, redundancy, scalability, an opex cost structure, future-proofing, and international expansion.
DevOps en Amazon: Un vistazo a nuestras herramientas y procesos
(Diapositivas de presentación son en inglés.)
Mientras equipos de desarrollo transicionan a arquitecturas basadas en la nube y adoptan procesos más ágiles, las herramientas que necesitan para ayudarles en sus ciclos de desarrollo cambiarán. En esta sesión, os llevaremos por la transición que Amazon hizo a una arquitectura orientada a servicios hace más de una década. Compartiermos las lecciones aprendidas, los procesos que adoptamos y las herramientas que construimos para incrementar la agilidad y la fiabilidad. También os introduciremos a AWS CodeCommit, AWS CodePipeline, y AWS CodeDeploy, tres servicios que han nacido de la propia experiencia interna de DevOps en Amazon.
Event-Driven Serverless Apps - Pop-up Loft Tel Aviv
We built event-driven user interfaces for decades. What about bringing the same approach to mobile, web, and IoT backend applications? You have to understand how data flows and what is the propagation of changes, using reactive programming techniques. You can focus on the core functionalities to build and the relationships among the resources you use. Your application behaves similarly to a “spreadsheet”, where depending resources are updated automatically when something “happens”, and is decomposed into scalable microservices without having to manage the infrastructure. The resulting architecture is efficient and cost effective to run on AWS and managing availability, scalability and security becomes part of the implementation itself.
Ingest and storage options
The document discusses digital media ingest and storage options on AWS. It introduces AWS storage services like Amazon S3, Glacier and Snowball that can be used to create a scalable "content lake" for storing large amounts of media content. It also discusses how these services allow flexible management of content across different resolutions and formats over time. Additional services like Lambda, EFS and Elastic Transcoder can be used to build processing pipelines for tasks like transcoding and sharing content from the lake.
AWS IoT - Introduction - Pop-up Loft
A dive deep into the AWS IoT service that was announced at AWS re:Invent in October. We will cover the components of the AWS IoT platform, demonstrate the AWS IoT Console and command line experience and the client-side SDKs that AWS provides to help developers build rich applications for their devices, whilst removing the heavy lifting associated with creating a scalable, secure and reliable set of cloud services to support these applications.
Movidiam
George Olver discusses how companies can stay competitive in a changing industry by being efficient and identifying problems to adapt to change. He emphasizes focusing on customer-driven products and using technology like AWS to streamline processes, enhance creativity, and build solutions that are accessible anywhere to meet rising user demand and feedback. Olver advocates using people to drive products in order to solve larger problems through connectivity, transparency, and global communication.
BBC
DPP Compliance in the Cloud. How the BBC is working towards moving DPP compliance workflows for its file based delivery system onto the AWS Cloud.
Viewers also liked (20)
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools
Architecting for High Availability - Pop-up Loft Tel Aviv
Architecting for High Availability - Pop-up Loft Tel Aviv
AWS CodeDeploy, AWS CodePipeline, and AWS CodeCommit: Transforming Software D...
AWS CodeDeploy, AWS CodePipeline, and AWS CodeCommit: Transforming Software D...
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...
Next Generation Open Data Platforms | AWS Public Sector Summit 2016
Next Generation Open Data Platforms | AWS Public Sector Summit 2016
Using amazon machine learning to identify trends in io t data technical 201
Using amazon machine learning to identify trends in io t data technical 201
Women in Technology: Supporting Diversity in a Technical Workplace
Women in Technology: Supporting Diversity in a Technical Workplace
DevOps en Amazon: Un vistazo a nuestras herramientas y procesos
DevOps en Amazon: Un vistazo a nuestras herramientas y procesos
Event-Driven Serverless Apps - Pop-up Loft Tel Aviv
Event-Driven Serverless Apps - Pop-up Loft Tel Aviv
Similar to AWS CodeDeploy Getting Started - Pop-up Loft Tel Aviv
(DVO202) DevOps at Amazon: A Look At Our Tools & Processes
As software teams transition to cloud-based architectures and adopt more agile processes, the tools they need to support their development cycles will change. In this session, we'll take you through the transition that Amazon made to a service-oriented architecture over a decade ago. We will share the lessons we learned, the processes we adopted, and the tools we built to increase both our agility and reliability. We will also introduce you to AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy, three new services born out of Amazon's internal DevOps experience.
DevOps at Amazon: A Look at Our Tools and Processes
Learn about the Amazon made to a service-oriented architecture over a decade ago and an introduction to AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy, three new services born out of Amazon's internal DevOps experience.
DevOps at Amazon: A Look at Our Tools and Processes by Matthew Trescot, Manag...
Matthew Trescot discusses DevOps and new AWS developer tools. He explains that DevOps aims to speed up the software development lifecycle through efficiencies. AWS has adopted microservices and continuous delivery to deploy code 50 million times per year across thousands of teams. The new AWS Code services - CodeCommit, CodePipeline, and CodeDeploy - help automate deployments and release processes. CodeCommit provides version control, CodePipeline builds pipelines, and CodeDeploy automates deployments.
DevOps für mittlere Unternehmen und Großunternehmen - AWS Cloud Web Day für M...
Vortrag "DevOps für mittlere Unternehmen und Großunternehmen" von Oliver Arafat beim AWS Cloud Web Day für Mittelstand und Großunternehmen. Alle Videos und Präsentationen finden Sie hier: http://amzn.to/1VUJZsT
DevOps in Amazon.com
As software teams transition to cloud-based architectures and adopt more agile processes, the tools they need to support their development cycles will change. In this session, we'll take you through the transition that Amazon made to a service-oriented architecture over a decade ago. We will share the lessons we learned, the processes we adopted, and the tools we built to increase both our agility and reliability. We will also introduce you to AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy, three new services born out of Amazon's internal DevOps.
AWS CodeCommit, CodeDeploy & CodePipeline
The document summarizes AWS Code services for automating the development lifecycle including CodeCommit for source control, CodePipeline for continuous delivery, and CodeDeploy for automated deployments. It describes how these services work together to enable microservices architectures and continuous delivery practices for deploying updates with no downtime. Examples are provided of how to set up a delivery pipeline using these AWS Code services to connect development tools and deploy changes from testing to production environments.
Agility and DevOps on AWS
To find out more about training on AWS, visit: www.globalknowledge.co.uk/aws
AWS Pop-up Loft | London, April 28, 2016
DevOps at Amazon: A Look at Our Tools and Processes
As software teams transition to cloud-based architectures and adopt more agile processes, the tools they need to support their development cycles will change. In this session, we'll take you through the transition that Amazon made to a service-oriented architecture over a decade ago. We will share the lessons we learned, the processes we adopted, and the tools we built to increase both our agility and reliability. We will also introduce you to AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy, three new services born out of Amazon's internal DevOps experience.
DevOps with Amazon Web Services
This document discusses Amazon Web Services tools for DevOps practices like microservices architecture and continuous delivery. It describes AWS CodeCommit for source control, AWS CodeDeploy for automated deployments across environments without downtime, and AWS CodePipeline for modeling release processes. These services help teams set up delivery pipelines to deploy code changes reliably through multiple stages from source to production. The document also provides examples of how to use the AWS Code services together in a demo pipeline.
DevOps with Amazon Web Services (November 2016)
This document discusses DevOps practices using Amazon Web Services. It describes how AWS services like CodeCommit, CodeDeploy, and CodePipeline can help implement a continuous delivery pipeline for developing and deploying microservices architectures. These services provide automated testing, deployment to multiple environments including production, and integration with third-party tools to streamline the release process for development teams. The document provides examples of how to set up a continuous delivery pipeline using AWS Code services and recommends further resources for learning more.
Introduction to DevOps and the AWS Code Services
DevOps combines cultural philosophies, practices, and tools to increase collaboration between development and operations teams. It aims to improve reliability, speed, and scale through practices like microservices, continuous integration and delivery, infrastructure as code, and monitoring. AWS provides services like CodeCommit, CodePipeline, CodeDeploy, CloudFormation, OpsWorks, Config, CloudWatch, and CloudTrail to help customers implement DevOps practices on AWS.
Devops with Amazon Web Services (January 2017)
This document discusses Amazon Web Services tools for DevOps practices like microservices architecture, continuous delivery, and deployment pipelines. It introduces AWS services for source control (CodeCommit), building (CodeBuild), deployment (CodeDeploy), and release management (CodePipeline). These services help teams implement best practices like automated testing, releases to multiple environments without downtime, and rollbacks. The document provides an example pipeline of using CodeCommit, CodeBuild, CodeDeploy and CodePipeline together to deploy code from a GitHub repository to development and production environments. It also briefly introduces the X-Ray service for distributed application debugging.
DevOps at Amazon: A Look at Our Tools and Processes
1) Amazon developed DevOps practices and tools to support microservices architectures and continuous delivery at scale for their own applications. They launched three new AWS services - CodeCommit, CodePipeline, and CodeDeploy - to provide similar capabilities to other organizations.
2) CodeCommit provides fully-managed Git source control in the cloud. CodePipeline allows users to model and visualize their release processes. CodeDeploy automates application deployments across different environments.
3) These services aim to help users achieve continuous delivery, deploy applications without downtime, and catch deployment problems through health tracking and rollbacks, as Amazon has done internally for their many services.
DevOps on Windows: How to Deploy Complex Windows Workloads | AWS Public Secto...
In this session, you will learn how to deploy complex Windows workloads and ways AWS CloudFormation, AWS OpsWorks, and AWS CodeDeploy enable you to automate your Windows application life-cycle management. We will also discuss the monitoring, logging, and automatically scaling of Windows applications. Learn More: https://aws.amazon.com/government-education/
Delivering DevOps on AWS: Accelerating Software Delivery with AWS Developer T...
Software release cycles are now measured in days, rather than months. Cutting-edge companies continually deliver high-quality software at a fast pace to remain competitive. In this session, we cover how you can begin your DevOps journey by sharing best practices and tools used by Amazon’s two pizza engineering teams. We’ll showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We’ll also provide an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy – the services inspired by Amazon's internal developer tools and DevOps practice.
Introduction to AWS CodeStar: Quickly develop, build, and deploy applications...
Learning Objectives:
- Learn how to automatically configure and end-to-end Continuous delivery toolchain in minutes
- Learn how to accelerate your application release process by adopting agile software development tools from AWS
- Learn how to better manage and track JIRA issues for AWS applications
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this tech talk, we’d like to introduce a major new addition to our Developer Tools suite, AWS CodeStar, which enables you to quickly develop, build, and deploy applications on AWS. We will provide a hands-on demonstration of how you can use AWS CodeStar to set up an end-to-end software development and continuous delivery toolchain within minutes. We will also share Amazon’s best practices for DevOps and how you can accelerate your software development agility. Additionally, we will have experts from Atlassian, who will showcase how AWS CodeStar integrates with Atlassian JIRA and provides a unified experience to track and manage your JIRA issues within CodeStar dashboard.
Breakout Session Devops at Amazon with Scania
The document discusses DevOps practices at Amazon and Scania. It provides an overview of how Amazon transitioned from monolithic applications to microservices and two-pizza teams to enable continuous delivery. It also describes how Scania evolved from sporadic releases to adopting microservices and achieving 30+ deployments per day through autonomous teams. The document promotes infrastructure as code, automated deployments, and empowering developers through tools like AWS Code services to establish continuous delivery practices.
DevOps on AWS - Building Systems to Deliver Faster
by Nick Brandaleone, Solutions Architect AWS
Join us to learn about continuous integration, continuous delivery, and DevOps. The AWS Developer Tools have been designed based on the tools used by Amazon engineers to rapidly and reliably deliver products and features to customers. We’ll provide overviews of the services and best practices followed by a hands-on workshop to help you learn how to automate your software release processes, deploy application code, and monitor your application and infrastructure performance.
AWS CodeDeploy
1) AWS CodeDeploy allows companies to automate code deployments across different environments including development, testing, and production servers.
2) It helps manage the complexity of deployments by coordinating deployments across servers without downtime using techniques like rolling updates.
3) CodeDeploy also provides health checking to catch deployment problems and enable rollbacks if needed.
LaunchingYourAppTheAmazonWay_SFStartupDay
This document discusses DevOps practices and how AWS services can help with continuous integration and delivery. It provides an overview of DevOps, describing the cultural philosophies and practices including infrastructure as code, continuous integration, continuous delivery, monitoring and logging. It then discusses how AWS services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline can help implement these practices for faster and more reliable software delivery. The document concludes with a demo of these AWS Code services.
Similar to AWS CodeDeploy Getting Started - Pop-up Loft Tel Aviv (20)
(DVO202) DevOps at Amazon: A Look At Our Tools & Processes
(DVO202) DevOps at Amazon: A Look At Our Tools & Processes
DevOps at Amazon: A Look at Our Tools and Processes
DevOps at Amazon: A Look at Our Tools and Processes
DevOps at Amazon: A Look at Our Tools and Processes by Matthew Trescot, Manag...
DevOps at Amazon: A Look at Our Tools and Processes by Matthew Trescot, Manag...
DevOps für mittlere Unternehmen und Großunternehmen - AWS Cloud Web Day für M...
DevOps für mittlere Unternehmen und Großunternehmen - AWS Cloud Web Day für M...
DevOps at Amazon: A Look at Our Tools and Processes
DevOps at Amazon: A Look at Our Tools and Processes
DevOps at Amazon: A Look at Our Tools and Processes
DevOps at Amazon: A Look at Our Tools and Processes
DevOps on Windows: How to Deploy Complex Windows Workloads | AWS Public Secto...
DevOps on Windows: How to Deploy Complex Windows Workloads | AWS Public Secto...
Delivering DevOps on AWS: Accelerating Software Delivery with AWS Developer T...
Delivering DevOps on AWS: Accelerating Software Delivery with AWS Developer T...
Introduction to AWS CodeStar: Quickly develop, build, and deploy applications...
Introduction to AWS CodeStar: Quickly develop, build, and deploy applications...
DevOps on AWS - Building Systems to Deliver Faster
DevOps on AWS - Building Systems to Deliver Faster
More from Amazon Web Services
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Esegui pod serverless con Amazon EKS e AWS Fargate
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Costruire Applicazioni Moderne con AWS
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
Open banking as a service
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Computer Vision con AWS
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Database Oracle e VMware Cloud on AWS i miti da sfatare
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
API moderne real-time per applicazioni mobili e web
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Tools for building your MVP on AWS
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
How to Build a Winning Pitch Deck
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
Building a web application without servers
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
Fundraising Essentials
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Introduzione a Amazon Elastic Container Service
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
More from Amazon Web Services (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS Fargate
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatare
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e web
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
Recently uploaded
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
AWS Cloud Cost Optimization Presentation.pptx
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Finale of the Year: Apply for Next One!
Presentation for the event called "Finale of the Year: Apply for Next One!" organized by GDSC PJATK
Recently uploaded (20)
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
AWS CodeDeploy Getting Started - Pop-up Loft Tel Aviv
- 1. DevOps at Amazon – An Introduc5on to Code* Services Ran Tessler, AWS Solu0ons Architecture Manager
- 2. What to expect from the session The Amazon DevOps story New developer tools for everyone • AWS CodeDeploy • AWS CodePipeline • AWS CodeCommit
- 3. What is DevOps? DevOps = efficiencies that speed up this lifecycle developers customers releasetestbuild plan monitor delivery pipeline feedback loop Software development lifecycle
- 4. ©2015, Amazon Web Services, Inc. or its affiliates. All rights reserved The Amazon DevOps story
- 7. Service-Oriented Architecture (SOA) Single-purpose Connected through APIs Highly decoupled “Microservices”
- 8. Two-pizza teams Full ownership Full accountability Aligned incentives “DevOps”
- 9. Missing tools developers delivery pipelineservices ???
- 11. Deployment service No downtime deployments Health tracking Versioned artifacts and rollbacks
- 12. Pipelines Continuous delivery Automated release process Faster and more reliable releases >90% of teams
- 13. Microservice development lifecycle developers delivery pipelinesservices releasetestbuild releasetestbuild releasetestbuild releasetestbuild releasetestbuild releasetestbuild
- 14. = 50 million deployments a year Thousands of teams × Microservice architecture × Continuous delivery × Multiple environments
- 15. How can others do this?
- 16. Setting up a delivery pipeline Testing Staging Production deploy deploy deploy Source Build release AWS CodeDeploy AWS CodePipeline AWS CodeCommit
- 17. ©2015, Amazon Web Services, Inc. or its affiliates. All rights reserved AWS Code Services
- 18. AWS CodeDeploy Easy and reliable deployments Scale with ease Deploy to any server Test CodeDeployv1, v2, v3 Production Dev application revisions deployment groups
- 19. AWS CodePipeline Connect to best-of-breed tools Accelerate your release process Consistently verify each release Build 1) Build 2) Unit test 1) Deploy 2) UI test Source Beta Production 1) Deploy 2) Perf test Gamma 1) Deploy canary 2) Deploy region 1 3) Deploy region 2 1) Pull
- 20. AWS CodeCommit Use standard Git tools Scalability, availability, and durability of Amazon S3 Encryption at rest with customer-specific keys git pull/push CodeCommit Git objects in Amazon S3 Git index in Amazon DynamoDB Encryption key in AWS KMS SSH or HTTPS
- 21. Hands on with the AWS Code services CodeCommit source control CodePipeline continuous delivery CodeDeploy automated deployment
- 23. Ran Tessler AWS Solu0ons Architecture Manager tesslerr@amazon.com