AWS Elastic Beanstalk provides an easy way to quickly deploy, manage, and scale applications in the AWS cloud. Through interactive demos, this session will discuss the best practices for deploying and scaling your application, provisioning additional AWS resources and performance tuning.
Amazon API Gateway and AWS Lambda provide a new way of building applications by removing servers from the picture. But what does the removal of servers mean to tasks like deployment, monitoring, and debugging? How should you set up blue-green deployments or set alarms? Come learn all this and more, including how to use AWS services and tools like AWS CodePipeline, AWS CloudFormation, and Amazon CloudWatch to manage your serverless applications at high quality.
AWS re:Invent 2016: Scaling Your Web Applications with AWS Elastic Beanstalk ...Amazon Web Services
AWS Elastic Beanstalk provides an easy way for you to quickly deploy, manage, and scale applications in the AWS Cloud. Through interactive demos and code samples, this session will teach you how to deploy your code using Elastic Beanstalk, provision and use other AWS services (Amazon SNS, Amazon SQS, and Amazon DynamoDB), use your application’s health metrics to tune performance, scale your application to handle millions of requests, perform zero-downtime deployments with traffic routing, and keep the underlying application platform up-to-date with managed updates. Code samples for demos will be available to all session attendees.
In this session, we will help you use existing and recently launched services to automate configuration governance so that security is embedded in the development process. We outline four easy steps (Control, Monitor, Fix, and Audit) and demonstrate how different services can be used to meet your governance needs.
AWS re:Invent 2016: Enabling DevOps for an Enterprise with AWS Service Catalo...Amazon Web Services
As incumbent enterprises move to the cloud, questions arise how transform the legacy IT culture to maximize the agility and flexibility AWS provides. Speed and dexterity must be implemented in a consistent manner, minimizing the impact to the organizational structure, but taking into account the existing skill sets and knowledge base. With AWS Service Catalog, you can manage commonly deployed AWS CloudFormation template versions, enable controlled self-provisioning, and leverage those same products in your automated deployment pipelines to AWS. In this session, developers, operations leads, architects, and IT managers learn how to leverage AWS Service Catalog and AWS CloudFormation to transform IT culture to maximize the agility, flexibility, and value that the AWS platform provides. Additionally, John Wiley & Sons, a 200-year-old enterprise, demonstrates how AWS Professional Services helped them balance the velocity achieved by moving to AWS with a structured governance model to deploy their cloud infrastructure and application code.
(DVO201) Scaling Your Web Applications with AWS Elastic BeanstalkAmazon Web Services
AWS Elastic Beanstalk provides an easy way for you to quickly deploy, manage, and scale applications in the AWS cloud. Through interactive demos and code samples, this session will teach you how to deploy your code to Elastic Beanstalk, provision and use additional AWS resources (for example, Amazon SNS, Amazon SQS, and Amazon DynamoDB), use your application’s health metrics to tune performance, scale your application to handle millions of requests, and perform zero-downtime deployments with traffic routing. Demos and code samples will be available to all session attendees.
Learn how to use AWS X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.
AWS re:Invent 2016: Chalk Talk: Succeeding at Infrastructure-as-Code (GPSCT312)Amazon Web Services
The days of manually managing infrastructure tasks are quickly coming to an end; businesses increasingly need their infrastructure teams to react with the same agility of their development teams. In this session, we discuss various approaches to infrastructure-as-code utilizing AWS solutions across the areas of templated infrastructure provisioning, configuration management, and policy as code. We invite you to bring your questions and join AWS Solutions Architects as we dive deeper into the concepts and best practices behind infrastructure-as-code.
Amazon API Gateway and AWS Lambda provide a new way of building applications by removing servers from the picture. But what does the removal of servers mean to tasks like deployment, monitoring, and debugging? How should you set up blue-green deployments or set alarms? Come learn all this and more, including how to use AWS services and tools like AWS CodePipeline, AWS CloudFormation, and Amazon CloudWatch to manage your serverless applications at high quality.
AWS re:Invent 2016: Scaling Your Web Applications with AWS Elastic Beanstalk ...Amazon Web Services
AWS Elastic Beanstalk provides an easy way for you to quickly deploy, manage, and scale applications in the AWS Cloud. Through interactive demos and code samples, this session will teach you how to deploy your code using Elastic Beanstalk, provision and use other AWS services (Amazon SNS, Amazon SQS, and Amazon DynamoDB), use your application’s health metrics to tune performance, scale your application to handle millions of requests, perform zero-downtime deployments with traffic routing, and keep the underlying application platform up-to-date with managed updates. Code samples for demos will be available to all session attendees.
In this session, we will help you use existing and recently launched services to automate configuration governance so that security is embedded in the development process. We outline four easy steps (Control, Monitor, Fix, and Audit) and demonstrate how different services can be used to meet your governance needs.
AWS re:Invent 2016: Enabling DevOps for an Enterprise with AWS Service Catalo...Amazon Web Services
As incumbent enterprises move to the cloud, questions arise how transform the legacy IT culture to maximize the agility and flexibility AWS provides. Speed and dexterity must be implemented in a consistent manner, minimizing the impact to the organizational structure, but taking into account the existing skill sets and knowledge base. With AWS Service Catalog, you can manage commonly deployed AWS CloudFormation template versions, enable controlled self-provisioning, and leverage those same products in your automated deployment pipelines to AWS. In this session, developers, operations leads, architects, and IT managers learn how to leverage AWS Service Catalog and AWS CloudFormation to transform IT culture to maximize the agility, flexibility, and value that the AWS platform provides. Additionally, John Wiley & Sons, a 200-year-old enterprise, demonstrates how AWS Professional Services helped them balance the velocity achieved by moving to AWS with a structured governance model to deploy their cloud infrastructure and application code.
(DVO201) Scaling Your Web Applications with AWS Elastic BeanstalkAmazon Web Services
AWS Elastic Beanstalk provides an easy way for you to quickly deploy, manage, and scale applications in the AWS cloud. Through interactive demos and code samples, this session will teach you how to deploy your code to Elastic Beanstalk, provision and use additional AWS resources (for example, Amazon SNS, Amazon SQS, and Amazon DynamoDB), use your application’s health metrics to tune performance, scale your application to handle millions of requests, and perform zero-downtime deployments with traffic routing. Demos and code samples will be available to all session attendees.
Learn how to use AWS X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.
AWS re:Invent 2016: Chalk Talk: Succeeding at Infrastructure-as-Code (GPSCT312)Amazon Web Services
The days of manually managing infrastructure tasks are quickly coming to an end; businesses increasingly need their infrastructure teams to react with the same agility of their development teams. In this session, we discuss various approaches to infrastructure-as-code utilizing AWS solutions across the areas of templated infrastructure provisioning, configuration management, and policy as code. We invite you to bring your questions and join AWS Solutions Architects as we dive deeper into the concepts and best practices behind infrastructure-as-code.
AWS re:Invent 2016: Automated Governance of Your AWS Resources (DEV302)Amazon Web Services
AWS CloudTrail, Amazon CloudWatch Events, AWS Identity & Access Management (IAM), Trusted Advisor, AWS Config Rules, other services? In this session, we will help you use existing and recently launched services to automate configuration governance so that security is embedded in the development process. We outline four easy steps (Control, Monitor, Fix, and Audit) and demonstrate how different services can be used to meet your governance needs. We will showcase real-life examples and you can take home a blog post with code examples and the full source code for scripts and tooling that AWS professional services have built using these services.
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session familiarizes you with the benefits of containers, introduce Amazon EC2 Container Service, and demonstrates how to use Amazon ECS to run containerized applications at scale in production.
With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we’ll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
PaaS (Platform as a Service) is hot topic in the PHP world, with many different providers vying to run your code. I'll look at what it takes to get your code to run on the common PaaS services, and compare and contrast them on their offerings and performance
(DVO312) Sony: Building At-Scale Services with AWS Elastic BeanstalkAmazon Web Services
Learn about Sony's efforts to build a cloud-native authentication and profile management platform on AWS. Sony engineers demonstrate how they used AWS Elastic Beanstalk (Elastic Beanstalk) to deploy, manage, and scale their applications. They also describe how they use AWS CloudFormation for resource provisioning, Amazon DynamoDB for the main database, and AWS Lambda and Amazon Redshift for log handling and analysis. This discussion focuses on best practices, security considerations, tradeoffs, and final architecture and implementation. By the end of the session, you will clearly understand how to use Elastic Beanstalk as a platform to quickly and easily build at-scale web application on AWS, and how to use Elastic Beanstalk with other AWS services to build cloud-native applications.
DevOps, Continuous Integration and Deployment on AWS: Putting Money Back into...Amazon Web Services
Organizations around the globe are leveraging the cloud to accomplish world-changing missions. This session will address how AWS can help organizations put more money toward their mission and scale outreach and operations to achieve more with less. Hear some of AWS’s most advanced customers on how their organizations handle DevOps, continuous integration and deployment. Learn how these practices allow them to rapidly develop, iterate, test and deploy highly-scalable web applications and core operational systems on AWS. The discussion will focus on best practices, lessons learned, and the specific technologies and services they use.
Building a CICD Pipeline for Container Deployment to Amazon ECS - May 2017 AW...Amazon Web Services
Learning Objectives:
- Learn best practices for creating a CICD pipeline for containerized workloads
- Learn how to leverage the Amazon EC2 Container Registry (ECR) to host container images for version control during development and deployment
- Understand best practices for scaling CICD
Containers can make it easier to scale applications in the cloud. In this session, we will explore how developers can build effective CICD workflows to manage their containerized code deployments using Amazon EC2 Container Service, Amazon EC2 Container Registry, and other common tools such as Github and Jenkins. We will walk through best practices for CICD architectures used by our customers to deploy containers to AWS and we will also deep dive into topics such as creating an accessible CICD platform and Blue-Green deployments. We'll also demo how you can easily use AWS to create a CICD pipeline and deploy containers on Amazon ECS.
Running Microservices and Docker on AWS Elastic Beanstalk - August 2016 Month...Amazon Web Services
In this session, we introduce you to a solution for easily running a Docker-powered microservices architecture on AWS using Elastic Beanstalk. We will also cover the fundamentals of Elastic Beanstalk and how it benefits developers looking for a quick and scalable way to get their applications running on AWS with no infrastructure work required.
Building a microservices architecture using Docker can require a lot of work, from launching and operating the underlying infrastructure to installing and maintaining cluster management software. With AWS Elastic Beanstalk’s multicontainer support feature, many of these tasks are simplified and abstracted away so you can focus on your application code. AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker."
Learning Objectives:
• Learn the basics of AWS Elastic Beanstalk
• Understand how to use Elastic Beanstalk to run containerized applications
• Learn how to use Elastic Beanstalk to start architecting microservices-based applications
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.
Why does DevOps matter? How can you use continuous integration to build your product faster, make it more highly available, and be able to recover from bugs quickly? Let one of our solutions architects walk you through continuous integration and continuous delivery on AWS. This session includes live demos of our tools AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy.
Speaker: Leo Zhandovsky, Solutions Architect, Amazon Web services
recordings to the Canberra Summit can be found here
https://aws.amazon.com/events/anz/on-demand/canberra-summit/
Managing Your Application Lifecycle on AWS: Continuous Integration and Deploy...Amazon Web Services
In this session you’ll learn best practices for managing your application lifecycle with these tools with a particular focus on development speed and release agility. Through interactive demonstrations, this session shows you how to get an application running using AWS Elastic Beanstalk, CloudFormation and CodeDeploy. You will also see how advanced techniques such as blue/green deployment, AMI baking, customer resources and in-place deployment reduce deployment friction and rapid change in your environment.
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer ToolsAmazon Web 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 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.
(DVO306) AWS CodeDeploy: Automating Your Software DeploymentsAmazon Web Services
So you’ve written some code. Now what? How do you make it available to your customers in an efficient and reliable manner? Learn how you can use AWS CodeDeploy to easily and quickly push your application updates. This talk will introduce you to the basics of CodeDeploy: key concepts, how it works, where it fits in your release process, and some deployment strategies to get you started on the right foot. We’ll walk through several demos, going from a basic sample deployment to a live update of a large multi-instance fleet, giving you a sense for how CodeDeploy can grow with your needs.
In this session, we cover three common scenarios that include Amazon CloudWatch Logs and AWS Lambda. First, you learn how to build an Elasticsearch cluster from historical data using Amazon S3, Lambda, and CloudWatch Logs. Next, you learn how to add details to CloudWatch alarm notifications using Amazon SNS and Lambda. Finally, we show you how to bring Elastic Load Balancing logs to CloudWatch Logs using S3 bucket triggers from Lambda.
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer ToolsAmazon Web 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 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.
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...Amazon Web Services
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.
(DVO202) DevOps at Amazon: A Look At Our Tools & ProcessesAmazon Web Services
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.
Microservices architectures are changing the way that organizations build their applications and infrastructure. Companies can now achieve new levels of scale and efficiency by disaggregating their large, monolithic applications into small, independent “micro services”, each of which perform different functions. In this session, we’ll introduce the concept of microservices, help you evaluate whether your organization is ready for microservices, and discuss methods for implementing these architectures.
AWS re:Invent 2016: Automated Governance of Your AWS Resources (DEV302)Amazon Web Services
AWS CloudTrail, Amazon CloudWatch Events, AWS Identity & Access Management (IAM), Trusted Advisor, AWS Config Rules, other services? In this session, we will help you use existing and recently launched services to automate configuration governance so that security is embedded in the development process. We outline four easy steps (Control, Monitor, Fix, and Audit) and demonstrate how different services can be used to meet your governance needs. We will showcase real-life examples and you can take home a blog post with code examples and the full source code for scripts and tooling that AWS professional services have built using these services.
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session familiarizes you with the benefits of containers, introduce Amazon EC2 Container Service, and demonstrates how to use Amazon ECS to run containerized applications at scale in production.
With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we’ll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
PaaS (Platform as a Service) is hot topic in the PHP world, with many different providers vying to run your code. I'll look at what it takes to get your code to run on the common PaaS services, and compare and contrast them on their offerings and performance
(DVO312) Sony: Building At-Scale Services with AWS Elastic BeanstalkAmazon Web Services
Learn about Sony's efforts to build a cloud-native authentication and profile management platform on AWS. Sony engineers demonstrate how they used AWS Elastic Beanstalk (Elastic Beanstalk) to deploy, manage, and scale their applications. They also describe how they use AWS CloudFormation for resource provisioning, Amazon DynamoDB for the main database, and AWS Lambda and Amazon Redshift for log handling and analysis. This discussion focuses on best practices, security considerations, tradeoffs, and final architecture and implementation. By the end of the session, you will clearly understand how to use Elastic Beanstalk as a platform to quickly and easily build at-scale web application on AWS, and how to use Elastic Beanstalk with other AWS services to build cloud-native applications.
DevOps, Continuous Integration and Deployment on AWS: Putting Money Back into...Amazon Web Services
Organizations around the globe are leveraging the cloud to accomplish world-changing missions. This session will address how AWS can help organizations put more money toward their mission and scale outreach and operations to achieve more with less. Hear some of AWS’s most advanced customers on how their organizations handle DevOps, continuous integration and deployment. Learn how these practices allow them to rapidly develop, iterate, test and deploy highly-scalable web applications and core operational systems on AWS. The discussion will focus on best practices, lessons learned, and the specific technologies and services they use.
Building a CICD Pipeline for Container Deployment to Amazon ECS - May 2017 AW...Amazon Web Services
Learning Objectives:
- Learn best practices for creating a CICD pipeline for containerized workloads
- Learn how to leverage the Amazon EC2 Container Registry (ECR) to host container images for version control during development and deployment
- Understand best practices for scaling CICD
Containers can make it easier to scale applications in the cloud. In this session, we will explore how developers can build effective CICD workflows to manage their containerized code deployments using Amazon EC2 Container Service, Amazon EC2 Container Registry, and other common tools such as Github and Jenkins. We will walk through best practices for CICD architectures used by our customers to deploy containers to AWS and we will also deep dive into topics such as creating an accessible CICD platform and Blue-Green deployments. We'll also demo how you can easily use AWS to create a CICD pipeline and deploy containers on Amazon ECS.
Running Microservices and Docker on AWS Elastic Beanstalk - August 2016 Month...Amazon Web Services
In this session, we introduce you to a solution for easily running a Docker-powered microservices architecture on AWS using Elastic Beanstalk. We will also cover the fundamentals of Elastic Beanstalk and how it benefits developers looking for a quick and scalable way to get their applications running on AWS with no infrastructure work required.
Building a microservices architecture using Docker can require a lot of work, from launching and operating the underlying infrastructure to installing and maintaining cluster management software. With AWS Elastic Beanstalk’s multicontainer support feature, many of these tasks are simplified and abstracted away so you can focus on your application code. AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker."
Learning Objectives:
• Learn the basics of AWS Elastic Beanstalk
• Understand how to use Elastic Beanstalk to run containerized applications
• Learn how to use Elastic Beanstalk to start architecting microservices-based applications
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.
Why does DevOps matter? How can you use continuous integration to build your product faster, make it more highly available, and be able to recover from bugs quickly? Let one of our solutions architects walk you through continuous integration and continuous delivery on AWS. This session includes live demos of our tools AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy.
Speaker: Leo Zhandovsky, Solutions Architect, Amazon Web services
recordings to the Canberra Summit can be found here
https://aws.amazon.com/events/anz/on-demand/canberra-summit/
Managing Your Application Lifecycle on AWS: Continuous Integration and Deploy...Amazon Web Services
In this session you’ll learn best practices for managing your application lifecycle with these tools with a particular focus on development speed and release agility. Through interactive demonstrations, this session shows you how to get an application running using AWS Elastic Beanstalk, CloudFormation and CodeDeploy. You will also see how advanced techniques such as blue/green deployment, AMI baking, customer resources and in-place deployment reduce deployment friction and rapid change in your environment.
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer ToolsAmazon Web 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 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.
(DVO306) AWS CodeDeploy: Automating Your Software DeploymentsAmazon Web Services
So you’ve written some code. Now what? How do you make it available to your customers in an efficient and reliable manner? Learn how you can use AWS CodeDeploy to easily and quickly push your application updates. This talk will introduce you to the basics of CodeDeploy: key concepts, how it works, where it fits in your release process, and some deployment strategies to get you started on the right foot. We’ll walk through several demos, going from a basic sample deployment to a live update of a large multi-instance fleet, giving you a sense for how CodeDeploy can grow with your needs.
In this session, we cover three common scenarios that include Amazon CloudWatch Logs and AWS Lambda. First, you learn how to build an Elasticsearch cluster from historical data using Amazon S3, Lambda, and CloudWatch Logs. Next, you learn how to add details to CloudWatch alarm notifications using Amazon SNS and Lambda. Finally, we show you how to bring Elastic Load Balancing logs to CloudWatch Logs using S3 bucket triggers from Lambda.
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer ToolsAmazon Web 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 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.
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...Amazon Web Services
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.
(DVO202) DevOps at Amazon: A Look At Our Tools & ProcessesAmazon Web Services
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.
Microservices architectures are changing the way that organizations build their applications and infrastructure. Companies can now achieve new levels of scale and efficiency by disaggregating their large, monolithic applications into small, independent “micro services”, each of which perform different functions. In this session, we’ll introduce the concept of microservices, help you evaluate whether your organization is ready for microservices, and discuss methods for implementing these architectures.
Configuration Management with AWS OpsWorks for Chef AutomateAmazon Web Services
AWS OpsWorks for Chef Automate provides a fully managed Chef server and suite of automation tools that give you workflow automation for continuous deployment, automated testing for compliance and security, and a user interface that gives you visibility into your nodes and their status. The Chef server gives you full stack automation by handling operational tasks such as software and operating system configurations, package installations, database setups, and more. The Chef server centrally stores your configuration tasks and provides them to each node in your compute environment at any scale, from a few nodes to thousands of nodes. OpsWorks for Chef Automate is completely compatible with tooling and cookbooks from the Chef community and automatically registers new nodes with your Chef server.
Real-Time Data Exploration and Analytics with Amazon Elasticsearch ServiceAmazon Web Services
Elasticsearch is a fully featured search engine used for real-time analytics, and Amazon Elasticsearch Service makes it easy to deploy Elasticsearch clusters on AWS. With Amazon ES, you can ingest and process billions of events per day, and explore the data using Kibana to discover patterns. In this session, we use Apache web logs as example and show you how to build an end-to-end analytics solution.
Optimize MySQL Workloads with Amazon Elastic Block Store - February 2017 AWS ...Amazon Web Services
As the cloud continues to grow, organizations need IT talent with cloud skills. AWS Certifications validate cloud knowledge with an industry-recognized credential that can help advance your career.
Join this webinar to learn more about why AWS Certifications matter and to hear tips from an AWS expert about how to prepare for certification exams. During this webinar, you’ll hear about the AWS training, self-paced labs, and online resources that can help you on your path toward preparing for any one of our Associate exams including: Solutions Architect, Developer, and SysOps Administrator. We’ll also walk you through sample questions and study tips so you can learn how to think through typical associate-level exam questions. Finally, you’ll have the chance to have your questions answered live by an AWS expert.
Learning Objectives:
• Hear about a recommended preparation path for the career-enhancing AWS associate certification exams
• Learn more about how AWS Training can help you prepare to take the exam
• Hear study tips, work through a practice question, and have your questions answered live
Deep Dive on Elastic File System - February 2017 AWS Online Tech TalksAmazon Web Services
Organizations face significant challenges moving their applications to the cloud when they require a standard file system interface for accessing their cloud data. In this technical session, we will explore the world’s first cloud-scale file system and its targeted use cases. Attendees will learn about the Amazon Elastic File System (EFS) features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. We will highlight and demonstrate how to deploy Amazon EFS in one of our most common use cases and will share tips for success throughout.
Learning Objectives:
• Recognize why and when to use Amazon EFS
• Understand key technical/security concepts
• Learn how to leverage EFS’s performance
• See a demo of EFS in action
• Review EFS’s economics
Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data for a fraction of the cost of traditional data warehouses. In this webinar, we take an in-depth look at data warehousing with Amazon Redshift for big data analytics. We cover best practices to take advantage of Amazon Redshift's columnar technology and parallel processing capabilities to deliver high throughput and query performance.
Learning Objectives:
• Get an inside look at Amazon Redshift's columnar technology and parallel processing capabilities
• Learn how to design schemas and load data efficiently
• Learn best practices for workload management, distribution and sort keys, and optimizing queries
Webinar - Bringing Game Changing Insights with Graph DatabasesDataStax
For many important problems, such as fraud detection, search, personalization, recommendation, and user authorization, data generated by graph databases are often easier and more efficient than other alternatives. Join our partner, Expero, to learn how applying user-centered strategies and leveraging the latest UI tools to your graph database can bring game-changing insights, finding critical concepts, clusters and relationships out of once-disconnected data.
View recording: https://youtu.be/sP2YpwmyHbg
Explore all current and on-demand DataStax webinars: http://www.datastax.com/resources/webinars
Tracxn Research - Industrial Robotics Landscape, February 2017Tracxn
A number of investments in 2016 were made by CVCs such as GE Ventures, Caterpillar, Medtronic, and Mitsubishi UFJ Capital, who envision robotic technology to be implemented in their area of expertise.
As customers build and run production microservices architectures based on containers, having powerful tools to manage the placement and scheduling of these workloads is critical. Amazon ECS allows customers to focus on building their application and removes the need for managing the cluster management software entirely.
In this session you will hear how Amazon Web Services (AWS) operates at scale and services over 1 Million customers, which maps to even more API calls every single second. Come and hear about how they deal with APIs, operate at scale and help to create lego block services that helps them to be customer obsessed.
Best Practices with IoT Security - February Online Tech TalksAmazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. This tech talk will introduce the best practices for IoT Security in the cloud and the access control mechanisms used by AWS IoT. These mechanisms can be used to not only securely build and provision devices, but also to integrate devices with other AWS services to create secure solutions.
Learning Objectives:
• Learn common Internet of Things security issues
• Learn about AWS IoT security and access control mechanisms
• Learn how to build secure interactions with the AWS Cloud
With distributed frameworks like Hadoop and Kafka, it is essential to deploy the right environment to successfully support these workloads. Learn about the different block storage options from AWS and walk through with our experts on how to select the best option for your big data analytic workloads. We will demonstrate how to setup, select, and modify volume types to right size your environment needs.
Amazon Web Services gives you fast access to flexible and low cost IT resources, so you can rapidly scale and build virtually any big data and analytics application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity, and variety of data.
In this one-hour webinar, we will look at the portfolio of AWS Big Data services and how they can be used to build a modern data architecture.
We will cover:
Using different SQL engines to analyze large amounts of structured data
Analysing streaming data in near-real time
Architectures for batch processing
Best practices for Data Lake architectures
This session is suited for:
Solution and enterprise architects
Data architects/ Data warehouse owners
IT & Innovation team members
In this session, you'll learn what’s new and hot with AWS Lambda. Come learn about what we’ve been working on and what we are planning for the future. You'll get a hands-on demonstration of some our newest features.
Deploy, Scale and Manage your Application with AWS Elastic BeanstalkAmazon Web Services
AWS Elastic Beanstalk provides an easy way to quickly deploy, manage, and scale applications in the AWS cloud. Through interactive demos, this session will discuss the best practices for deploying and scaling your application, provisioning additional AWS resources and performance tuning. We will also do a deep dive into the recently launched Elastic Beanstalk features and cover some of best practices for using Elastic Beanstalk. This session will benefit both new and experienced users of Elastic Beanstalk.
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer ToolsAmazon Web 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 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 CodeCommit, AWS CodePipeline, and AWS CodeDeploy). These services were inspired by Amazon's own internal developer tools and DevOps culture.
(ARC402) Deployment Automation: From Developers' Keyboards to End Users' Scre...Amazon Web Services
Some of the best businesses today are deploying their code dozens of times a day. How? By making heavy use of automation, smart tools, and repeatable patterns to get process out of the way and keep the workflow moving. Come to this session to learn how you can do this too, using services such as AWS OpsWorks, AWS CloudFormation, Amazon Simple Workflow Service, and other tools. We'll discuss a number of different deployment patterns, and what aspects you need to focus on when working toward deployment automation yourself.
Managing Your Application Lifecycle on AWS: Continuous Integration and Deploy...Amazon Web Services
AWS offers a number of services that help you easily develop, build, deploy and run applications in the cloud. In this session you’ll learn best practices for managing your application lifecycle with these tools with a particular focus on development speed and release agility. Through interactive demonstrations, this session shows you how to get an application running using AWS Elastic Beanstalk, CloudFormation and CodeDeploy. You will also see how advanced techniques such as blue/green deployment, AMI baking, customer resources and in-place deployment reduce deployment friction and rapid change in your environment.
Speaker: Adrian White, Solutions Architect, Amazon Web Services
Continuous Integration and Deployment Best Practices on AWSAmazon Web Services
With AWS, organizations 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% API-driven enables organizations to use lean methodologies and realize these benefits. In this session, we will explore some key concepts and design patterns for continuous deployment and continuous integration, two elements of lean application and infrastructure development. We will look at several use cases where IT organizations leveraged AWS to rapidly develop and iterate on applications for scale, high availability and cost optimization.
Speaker: Adrian White, Solutions Architect, Amazon Web Services
AWS July Webinar Series-Deploying and Scaling Web Application with AWS Elasti...Amazon Web Services
Want to easily deploy your Node.js, Ruby, Python, .NET, Tomcat, PHP or Docker web applications to AWS?
AWS Elastic Beanstalk is a service that makes it easy to deploy, scale, and manage your web applications on AWS by providing preconfigured application stacks and managing the underlying infrastructure on your behalf. You simply select the application stack you want and upload your code to get started.
This webinar will familiarize you with how to deploy your web application to AWS using AWS Elastic Beanstalk (EB). We will walk through the steps necessary to debug, test and scale your application to handle millions of web requests. Also, you will learn about deployment options, cost management, and ongoing monitoring and maintenance.
Learning Objectives:
Understand the benefits of AWS Elastic Beanstalk versus do-it-yourself
Deploy a sample Node.js application using the Elastic Beanstalk command line interface
Modify application stack configuration and extend your application to use additional AWS resources (e.g.: DynamoDB, SNS, etc.)
Debug, load test, and scale the sample application to handle millions of web requests
Use deployment options available for zero downtime deployments (in-place and blug/green)
Use tags for cost management
You will learn:
• How to use Elastic Beanstalk
• How to run Single and Multi-Container Docker with AWS Elastic Beanstalk
• Best Practices running AWS Elastic Beanstalk
Ansible is a Configuration Management System that is very simple to use, because of its straightforward and robust model for managing automation and it’s low barrier to entry for ease of use in both development and production.
During OpenStack development, Ansible can be used in conjunction with Vagrant and Devstack to manage complex, multi-node development environments with relative ease.
In this presentation, Juergen Brendel and David Lapsley review Ansible and provide some sample playbooks to get developers up and running quickly. They also describes how to use Ansible, Vagrant, Devstack, and OpenStack to accelerate OpenStack development cycles.
In this session, we introduce you to a solution for easily running a Docker-powered microservices architecture on AWS using Elastic Beanstalk. We will also cover the fundamentals of Elastic Beanstalk and how it benefits developers looking for a quick and scalable way to get their applications running on AWS with no infrastructure work required. In the second half of the session Sean O’Brien, engineer at Prezi, will share how Prezi is using Elastic Beanstalk to build microservices for its entire development team.
Building a microservices architecture using Docker can require a lot of work, from launching and operating the underlying infrastructure to installing and maintaining cluster management software. With AWS Elastic Beanstalk’s multicontainer support feature, many of these tasks are simplified and abstracted away so you can focus on your application code. AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker. Elastic Beanstalk leverages Amazon EC2 Container Service for its container management capabilities.
AWS DevDay San Francisco, June 21, 2016.
Presenter: Adhiraj Singh, Sr. Product Manager
As software development teams transition to cloud-based architectures and adopt agile processes, the tools they need to support application development in this new world will change. In this session, we'll take you the transition that Amazon made to a service-oriented architecture over a decade ago, and introduce you to some of the processes and tools that we built and adopted along the way. We’ll share what lessons we’ve learned, explain how we’ve achieved better agility and reliability in our software development and deployment processes, and present an overview of tools we’ve used to help get us there that have since become services such as AWS CodeCommit, AWS CodePipeline, AWS CodeDeploy, and more.
AWS re:Invent 2016: Infrastructure Continuous Delivery Using AWS CloudFormati...Amazon Web Services
In this session, we will review ways to manage the lifecycle of your dev, test, and production infrastructure using CloudFormation. Learn how to architect your infrastructure through loosely coupled stacks using cross-stack references, tightly coupled nested stacks and other best practices. Learn how to use CloudFormation to provision and manage a continuous deployment pipeline for your infrastructure-as-code. Automate deployment of new development environments as your infrastructure evolves, promote your new architecture for testing, and deploy changes to production.
AWS Elastic Beanstalk is the fastest and simplest way to get an application up and running on Amazon Web Services. Developers can simply upload their application code and the service automatically handles all the details such as resource provisioning, load balancing, auto-scaling, and monitoring. This session shows you how to connect your Git repository with Amazon Web Services, deploy your code to AWS Elastic Beanstalk, easily enable or disable application functionality, and perform zero-downtime deployments through interactive demos and code samples.
(APP201) Going Zero to Sixty with AWS Elastic Beanstalk | AWS re:Invent 2014Amazon Web Services
"AWS Elastic Beanstalk provides an easy way for you to quickly deploy, manage, and scale applications in the AWS cloud. This session shows you how to deploy your code to AWS Elastic Beanstalk, easily enable or disable application functionality, and perform zero-downtime deployments through interactive demos and code samples for both Windows and Linux.
Are you new to AWS Elastic Beanstalk? Get up to speed for this session by first completing the 60-minute Fundamentals of AWS Elastic Beanstalk lab in the self-paced Lab Lounge."
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session will familiarize you with the benefits of containers, introduce Amazon EC2 Container Service (ECS), and demonstrate how to use Amazon ECS for your applications.
Similar to Deploy, scale and manage your application with AWS Elastic Beanstal (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
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...Amazon Web Services
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.
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
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 Amazon Web Services
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!
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...Amazon Web Services
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...Amazon Web Services
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 WorkloadsAmazon Web Services
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.
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.
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 NodeJSAmazon Web Services
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.
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 sfatareAmazon Web Services
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.
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.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
2. Agenda
• Elastic Beanstalk Introduction
• Elastic Beanstalk vs. DIY
• Getting started with Elastic Beanstalk
• Demo – Sample Application
• Best Practices
• Deployment options
• Managed Updated
• Auto Scaling
• Other tips
3. Developer challenges
• Complexity of deploying code, provisioning
and managing infrastructure
• Expertise and time needed to manage and
configure servers, databases, load
balancers, firewalls, and networks
• How to automate application scaling
• Lack of consistency across teams
4. What is Elastic Beanstalk?
AWS Elastic Beanstalk is an easy-to-use service for
deploying, scaling, and managing web applications and
services.
5. AWS Elastic Beanstalk vs. Do It Yourself
Your code
HTTP Server
Application Server
Language Interpreter
Operating System
Host
Elastic Beanstalk configures each
EC2 instance in your
environment with the components
necessary to run applications for
the selected platform.
Focus on building your
application
Provided by you
Provided and managed by AWS Elastic Beanstalk (EB)
On-instance configuration
6. AWS Elastic Beanstalk vs. Do It Yourself
• Preconfigured Infrastructure
• Single Instance (Dev, Low Cost)
• Load Balanced, Auto Scaling (Production)
• Web & Worker tiers
• Elastic Beanstalk provisions necessary
infrastructure resources such as the load
balancer, Auto Scaling group, security
groups, database (optional), etc.
• Provides a unique domain name for your
application
(e.g.: youapp.regionx.elasticbeanstalk.com)
Infrastructure stack
7. Elastic Beanstalk benefits
Fast & simple
to begin
Developer
productivity/agility
Impossible
to outgrow
Complete
resource control
No additional charge to use Elastic Beanstalk.
You pay only for underlying AWS resources (i.e., EC2 instances, S3, etc.)
10. Information required to deploy application
01
02
03
04
Region
Stack (container) type
Single Instance
Load Balanced with
Auto ScalingOR
Database (RDS)
Your code
Optional
Supported Platforms
12. How to deploy applications
1. Via AWS Management Console
2. Via AWS Toolkit for Eclipse and Visual
Studio IDE
3. Via AWS SDKs and CLI
4. Via EB command line interface
$ eb deploy
13. Deploy sample application (EB CLI)
Initial application deployment workflow
$ git clone
https://github.com/awslabs/eb-
node-express-sample.git
Download sample application02
$ eb init
Create your Elastic Beanstalk app03
Follow the prompts to configure the
environment
04
05 Create the resources and launch the
application
$ eb create
$ pip install --upgrade awsebcli
Install the AWS Elastic Beanstalk
command line interface (EB CLI)
01
14. Update sample application (EB CLI)
Update application workflow
Update your code01
$ git add .
$ git commit –m “v2.0”
$ eb deploy
Add & commit code to repository02
Open application once deployment
completes
03
$ eb open
19. Deployment options
* Default method ^ ”All at Once” Method used
Environment Type Deployment category Method
All at Once*
Immutable (New)
Disabled*^
Immutable (New)
All at Once
Rolling*
Rolling with additional batch
Immutable
Disabled^
Rolling based on Health*
Rolling based on Time
Immutable
Single Instance
Load Balanced/Auto-Scaled
Application
Platform/Configuration
Application
Platform/Configuration
20. All at once: step 0
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
21. All at once: step 1
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2
myapp.us-east-1.elasticbeanstalk.com
v2v2
22. All at once: step 2
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2
myapp.us-east-1.elasticbeanstalk.com
v2v2
23. Rolling: step 0
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
24. Rolling: step 1
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2
myapp.us-east-1.elasticbeanstalk.com
v1v1
25. Rolling: step 2
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2
myapp.us-east-1.elasticbeanstalk.com
v1v1
26. Rolling: step 3
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2
myapp.us-east-1.elasticbeanstalk.com
v2v2
27. Rolling: step 4
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2
myapp.us-east-1.elasticbeanstalk.com
v2v2
28. Rolling with additional batch: step 0
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
29. Rolling with additional batch: step 1
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2 v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
30. Rolling with additional batch: step 2
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2 v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
31. Rolling with additional batch: step 3
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2 v2 v2
myapp.us-east-1.elasticbeanstalk.com
v1v1
32. Rolling with additional batch: step 4
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2 v2 v2
myapp.us-east-1.elasticbeanstalk.com
v1v1
33. Rolling with additional batch: step 5
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2 v2 v2
myapp.us-east-1.elasticbeanstalk.com
v1v1
34. Rolling with additional batch: step 6
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2
myapp.us-east-1.elasticbeanstalk.com
v2v2
35. Immutable: step 0
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
36. Immutable: step 1
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
Auto Scaling Group
v2
37. Immutable: step 2
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
Auto Scaling Group
v2
38. Immutable: step 3
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
Auto Scaling Group
v2 v2 v2v2
39. Immutable: step 4
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
Auto Scaling Group
v2 v2 v2v2
40. Immutable: step 5
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
Auto Scaling Group
v2 v2 v2v2
41. Immutable: step 6
Elastic Beanstalk Environment
myapp.us-east-1.elasticbeanstalk.com
Auto Scaling Group
v2 v2 v2v2
42. Immutable: step 6
Auto Scaling Group
Elastic Beanstalk Environment
v2 v2
myapp.us-east-1.elasticbeanstalk.com
v2v2
43. Blue/Green: step 0
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
44. Blue/Green: step 1
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp_new.us-east-1.elasticbeanstalk.com
v1v1
Cloned environment
45. Blue/Green: step 2
Auto Scaling Group
Elastic Beanstalk Environment
v2 V2
myapp_new.us-east-1.elasticbeanstalk.com
v2v2
Cloned environment
46. Blue/Green: step 3
Auto Scaling Group
Elastic Beanstalk Environment
v2 V2
myapp_new.us-east-1.elasticbeanstalk.com
v2v2
Cloned environment
47. Blue/Green: step 3
Cloned environment
Auto Scaling Group
Elastic Beanstalk Environment
v2 V2
myapp_new.us-east-1.elasticbeanstalk.com
v2v2
49. Blue/Green: step 5
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp.us-east-1.elasticbeanstalk.com
v1v1
Cloned environment
Auto Scaling Group
Elastic Beanstalk Environment
v2 V2
myapp_new.us-east-1.elasticbeanstalk.com
v2v2
50. Blue/Green: step 6
Auto Scaling Group
Elastic Beanstalk Environment
v1 v1
myapp_new.us-east-1.elasticbeanstalk.com
v1v1
Cloned environment
Auto Scaling Group
Elastic Beanstalk Environment
v2 V2
myapp.us-east-1.elasticbeanstalk.com
v2v2
51. Application deployment options
Method Impact of failed deployment
Deploy
Time
Zero
Downtime
No DNS
Change
Rollback
process
Code
Deployed
To
All at Once Downtime X Re-deploy Existing
instances
Rolling Single batch out of service. Any
successful batches prior to
failure running new application
version
♦ Re-deploy Existing
instances
Rolling with
additional batch
Minimum if first batch fails,
otherwise similar to Rolling
♦ Re-deploy New &
existing
instances
Immutable Minimal Re-deploy New
instances
Blue/Green Minimal X Swap URL New
instances
Options available for both Single Instance and Load Balanced/Auto-Scaled Environments ♦ Varies depending on instance batch size
52. Managed Platform Update
Configure your environment to automatically upgrade to the latest
version of a platform during a scheduled maintenance window.
• Permissions
• Maintenance Window
• Minor and Patch Updates
Key benefits:
• Automated Upgrades
• No/Minimal downtime
• No/Minimal impact on capacity
• Flexibility of manual updates
• Instance replacement
56. Other tips
Logs, Metrics, & Alarms
• Enable log rotation to automatically publish logs to S3.
• Understand metrics available for your environment and what they mean.
• Set up alarms to automatically monitor critical metrics and send notifications when
metrics are outside normal operating range.
• Enable Amazon Route 53 health checks and alarms
Tag your environments
• Makes it easy to find resources belonging to a given environment.
• Can be used to monitor costs associated with a given environment and/or
application.
• AWS Elastic Beanstalk automatically tags environments with:
• Environment Name
• Environment ID
57. Key links
Elastic beanstalk resources:
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/RelatedResources.html
Sample application:
https://github.com/awslabs/eb-node-express-sample
Troubleshooting tips:
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/troubleshooting.html
Tutorials and samples:
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/tutorials.html
Deployment options:
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.deploy-existing-version.html
Managed Updates:
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/environment-platform-update-managed.html
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/iam-servicerole.html#iam-servicerole-update
Configuring Auto Scaling:
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.managing.as.html
Load Testing with Locust:
https://aws.amazon.com/blogs/devops/using-locust-on-aws-elastic-beanstalk-for-distributed-load-generation-and-testing/
https://github.com/awslabs/eb-locustio-sample
Tagging your Elastic Beanstalk resources:
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.tagging.html