Hands on Lab: Windows Workloads on AWS - June 2017 AWS Online Tech TalksAmazon Web Services
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.
Introduction to AWS CodeStar: Quickly develop, build, and deploy applications...Amazon Web Services
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.
AWS re:Invent 2016: Open Source at AWS—Contributions, Support, and Engagement...Amazon Web Services
Over the last few years, we have seen a dramatic increase in the use of open source projects as the mainstay of architectures in both startups and enterprises. Many of our customers and partners also run their own open source programs and contribute key technologies to the industry as a whole (see DCS201). At AWS we engage with open source projects in a number of ways. We contribute bug fixes and enhancements to popular projects including our work with the Hadoop ecosystem (see BDM401), Chromium (see BAP305) and (obviously) Boto. We have our own standalone projects including the security library s2n (see NET405) and machine learning project MXnet (see MAC401). We also have services that make open source easier to use like ECS for Docker (see CON316), and RDS for MySQL and PostgreSQL (see DAT305). In this session you will learn about our existing open source work across AWS, and our next steps.
Deep Dive: Continuous Delivery for AI Applications with ECS - May 2017 AWS On...Amazon Web Services
Learning Objectives:
- Learn how you can use the practices of continuous integration and delivery for operationalizing data science and machine learning applications
- Learn how you can use AWS CodePipeline, AWS CloudFormation and Amazon EC2 Container Service along with MXNet to build and deploy deep learning applications
Deep learning (DL) is a computer science field derived from the Artificial Intelligence discipline. DL systems are usually developed by data scientists, who are good at mathematics and computer science. But to deploy and operationalize these models for broader use, you need the DevOps mindset and tools. In this tech talk, we’ll show you how to connect the workflow between the data scientists and DevOps.
We’ll explore basic continuous integration and delivery concepts and how they can be applied to deep learning models. Using a number of AWS services, we will showcase how you can take the output of a deep learning model and deploy it to perform predictions in real time with low latency and high availability. In particular, we will showcase the ease of deploying DL predict functions using Apache MXNet (a deep learning library), Amazon ECS, Amazon S3, and Amazon ECR, Amazon developer tools, and AWS CloudFormation.
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.
AWS re:Invent 2016: State of the Union: Containers (CON316)Amazon Web Services
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.
Hands on Lab: Windows Workloads on AWS - June 2017 AWS Online Tech TalksAmazon Web Services
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.
Introduction to AWS CodeStar: Quickly develop, build, and deploy applications...Amazon Web Services
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.
AWS re:Invent 2016: Open Source at AWS—Contributions, Support, and Engagement...Amazon Web Services
Over the last few years, we have seen a dramatic increase in the use of open source projects as the mainstay of architectures in both startups and enterprises. Many of our customers and partners also run their own open source programs and contribute key technologies to the industry as a whole (see DCS201). At AWS we engage with open source projects in a number of ways. We contribute bug fixes and enhancements to popular projects including our work with the Hadoop ecosystem (see BDM401), Chromium (see BAP305) and (obviously) Boto. We have our own standalone projects including the security library s2n (see NET405) and machine learning project MXnet (see MAC401). We also have services that make open source easier to use like ECS for Docker (see CON316), and RDS for MySQL and PostgreSQL (see DAT305). In this session you will learn about our existing open source work across AWS, and our next steps.
Deep Dive: Continuous Delivery for AI Applications with ECS - May 2017 AWS On...Amazon Web Services
Learning Objectives:
- Learn how you can use the practices of continuous integration and delivery for operationalizing data science and machine learning applications
- Learn how you can use AWS CodePipeline, AWS CloudFormation and Amazon EC2 Container Service along with MXNet to build and deploy deep learning applications
Deep learning (DL) is a computer science field derived from the Artificial Intelligence discipline. DL systems are usually developed by data scientists, who are good at mathematics and computer science. But to deploy and operationalize these models for broader use, you need the DevOps mindset and tools. In this tech talk, we’ll show you how to connect the workflow between the data scientists and DevOps.
We’ll explore basic continuous integration and delivery concepts and how they can be applied to deep learning models. Using a number of AWS services, we will showcase how you can take the output of a deep learning model and deploy it to perform predictions in real time with low latency and high availability. In particular, we will showcase the ease of deploying DL predict functions using Apache MXNet (a deep learning library), Amazon ECS, Amazon S3, and Amazon ECR, Amazon developer tools, and AWS CloudFormation.
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.
AWS re:Invent 2016: State of the Union: Containers (CON316)Amazon Web Services
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.
Achieve Scale & Velocity with AWS OpsWorks for Chef AutomateAmazon Web Services
Companies are frequently using outdated process and tools for delivering infrastructure and applications, and are finding it to be difficult to migrate from on-premises data centers to the cloud. AWS OpsWorks for Chef Automate is a complete solution for the automation of infrastructure, applications, and compliance across the entire technology stack.
Join us to learn more how Chef Automate can help by delivering, deploying, and managing infrastructure and apps with increasing speed, improved efficiency, and decreasing risk.
Join us to Learn:
How to configure, deploy, and scale cloud and on-premises infrastructure simply and securely by automating infrastructure as code.
How Chef can help you use configuration management to save time.
Best practices of setting up your infrastructure, host configuration and applications.
Who Should Attend:
Cloud/Solution/Software/Enterprise Architects, DevOps Managers, Senior Technical Managers in Software Development and Operations, Site Reliability Engineers (SREs)
AWS Speaker: Isaiah Weiner, Sr. Solutions Architect, AWS
Partner Speaker: Sean Carolan, Partner Architect, Chef
Customer Speaker: Ronald Lipke , Senior DevOps Engineer, Gannett
While there are many Cloud design patterns for infrastructure, there are also many Cloud design patterns for developers. Come and learn how you can take your software design patterns and apply them to the next generation of cloud applications, or simply modernise your existing software architectures.
Speaker: Arden Packeer, Solutions Architect, Amazon Web Services
Delivering DevOps on AWS - Transformation Day Public Sector London 2017Amazon Web Services
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.
Speaker:
Mario Vlachakis, Solutions Architect, Amazon Web Services
From the Amazon Web Services Singapore & Malaysia Summits 2015 Track 2 Breakout, 'Windows and .NET on AWS'
The AWS Cloud Supports Microsoft Windows Server. Presented by James Saull, Principal Solutions Architect - Amazon Web Services.
Container Management on AWS with ECS, Docker and Blox - Level 400Amazon Web Services
Managing and scaling hundreds of containers is a challenging task. A container management solution takes care of these challenges for you, allowing you to focus on developing your application. We will discuss how to run well-architected container based applications at scale on ECS. We will dive deep into scaling, custom scheduling and secrets management. We will also briefly cover extending ECS using Blox and some alternative container solutions that are supported by AWS.
Speakers:
Richard Busby, Principal Solutions Architect
Shiva Narayanaswamy, Development Team Lead, Envato
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 followed by Amazon engineers and discuss how you can bring them to your company by using AWS CodePipeline and AWS CodeDeploy, services inspired by Amazon's internal developer tools and DevOps culture.
NEW LAUNCH! Introducing AWS Batch: Easy and efficient batch computing on Amaz...Amazon Web Services
AWS Batch is a fully-managed service that enables developers, scientists, and engineers to easily and efficiently run batch computing workloads of any scale on AWS. AWS Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With AWS Batch, there is no need to install or manage batch computing software, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2, Spot Instances, and AWS Lambda. AWS Batch reduces operational complexities, saving time and reducing costs. In this session, Principal Product Managers Jamie Kinney and Dougal Ballantyne describe the core concepts behind AWS Batch and details of how the service functions. The presentation concludes with relevant use cases and sample code.
Currently, a breadth of AWS training opportunities are available worldwide, both led by AWS and through community-driven training platforms. In this session, community leaders sort through the different training resources, discuss the resources they used to help them become AWS experts, and explain how different training solutions can complement one another.
SEC306 Using Microsoft Active Directory Across On-Premises and AWS Cloud Wind...Amazon Web Services
Do you have questions on how to best use Microsoft Active Directory with your AWS Windows workloads? Do you need a deep-dive on securely setting up trusts between your on-premises Active Directory and your AWS Directory Services for Microsoft Active Directory? This session will help you understand the differences between AWS Directory Service for Microsoft AD, building your own Microsoft Active Directory on Amazon EC2, or joining your cloud resources to your on-premises Active Directory over a direct network connection. After this session you will be an expert on how to setup single sign-on for your cloud applications and resources, using Group Policy for your EC2 systems, and how to securely configure trusts across your on-premises and AWS Cloud Active Directories.
With security-relevant services such as AWS Config, VPC Flow Logs, Amazon CloudWatch Events, and AWS Lambda, you now have the ability to automatically respond to and process security events that may occur within your AWS environment. These including prevention, detection, response, and remediation. This session covers the process of automating security event response using various AWS building blocks, gaining confidence in your coverage by proactively testing security monitoring and response effectiveness before anyone else does.
Running a Highly Scalable Immersive Media Solution on AWS Using EC2 Spot Inst...Amazon Web Services
Learning Objectives:
-Understand key EC2 Spot Instances concepts and common usage patterns for maximum scale and cost optimization in the cloud
- Leverage lower compute costs to better compete on price and, as a result, winning more business
- Leverage the full scale of the AWS cloud for faster results
In this session, we will look at building cost-effective on-demand and live streaming solutions on AWS to support 360 and immersive media experiences using Amazon EC2 Spot Instances, AWS Elastic Load Balancing, Amazon S3, Amazon Simple Queuing Service (SQS), Amazon CloudFront, and the Amazon EC2 Container Service (ECS).
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.
Learn how REAN Cloud helped AWS customer Ellucian develop a DevOps framework to transform their software delivery process for over 80 product lines. Attendees will gain an understanding of a real-world continuous integration/continuous delivery framework that leverages Packer, Jenkins, Vagrant, and Terraform, along with the DevOps Accelerator Platform by REAN Cloud.
REAN Cloud can implement a continuous integration and delivery pipeline on AWS and instill a DevOps culture for your dev teams. REAN provides a combination of DevOps and AWS expertise while also delivering managed services through CloudOps & SecOps.
Join us to learn:
• Select new AWS features
• Automating provisioning & configuration, auto-scaling
• Automated infra, security and functional tests
Who should attend:
CTOs, CIOs, Information Architects, Cloud Owners, Enterprise Architects, DevOps Managers, Senior Technical Managers in Engineering, Application Support Analysts, Infrastructure Analysts and System Administrators.
Speakers
Ekta Parashar, Solution Architect, Amazon Internet Services Pvt. Ltd
Gunanand Nagarkar, Sr. Director, REAN Cloud
Sanju Burkule, Sr. Director, REAN Cloud
Windows Workloads on AWS - July 2017 AWS Online Tech TalksAmazon Web Services
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.
AWS re:Invent 2016: Build a Serverless Back End for Your Alexa-Based Voice In...Amazon Web Services
Learn how to develop voice-based serverless back ends for Alexa Voice Service (AVS) and Alexa devices using the Alexa Skills Kit (ASK), which allows you to add new voice-based interactions to Alexa. We’ll code a new skill, implemented by a serverless backend leveraging AWS services such as Amazon Cognito, AWS Lambda, and Amazon DynamoDB. Often, your skill needs to authenticate your users and link them back to your backend systems and to persist state between user invocations. User authentication is performed by leveraging OAuth compatible identity systems. Running such a system on your back end requires undifferentiated heavy lifting or boilerplate code. We’ll leverage Login with Amazon as the identity provider instead, allowing you to focus on your application implementation and not on the low-level user management parts. At the end of this session, you’ll be able to develop your own Alexa skills and use Amazon and AWS services to minimize the required backend infrastructure. This session shows you how to deploy your Alexa skill code on a serverless infrastructure, leverage AWS Lambda, use Amazon Cognito and Login with Amazon to authenticate users, and leverage AWS DynamoDB as a fully managed NoSQL data store.
In this session, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens. We will give an overview of the core architectural principles underlying Amazon ECS, and we will walk through a number of patterns used by our customers to run their microservices platforms and batch applications.
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.
This presentation is focused on building solutions and strategy to solve business or customer engagement challenges. It tells the Amazon Machine Learning story and describes core AWS Artificial Intelligence services such as Polly, Lex and Rekognition can be applied to business problems.
Achieve Scale & Velocity with AWS OpsWorks for Chef AutomateAmazon Web Services
Companies are frequently using outdated process and tools for delivering infrastructure and applications, and are finding it to be difficult to migrate from on-premises data centers to the cloud. AWS OpsWorks for Chef Automate is a complete solution for the automation of infrastructure, applications, and compliance across the entire technology stack.
Join us to learn more how Chef Automate can help by delivering, deploying, and managing infrastructure and apps with increasing speed, improved efficiency, and decreasing risk.
Join us to Learn:
How to configure, deploy, and scale cloud and on-premises infrastructure simply and securely by automating infrastructure as code.
How Chef can help you use configuration management to save time.
Best practices of setting up your infrastructure, host configuration and applications.
Who Should Attend:
Cloud/Solution/Software/Enterprise Architects, DevOps Managers, Senior Technical Managers in Software Development and Operations, Site Reliability Engineers (SREs)
AWS Speaker: Isaiah Weiner, Sr. Solutions Architect, AWS
Partner Speaker: Sean Carolan, Partner Architect, Chef
Customer Speaker: Ronald Lipke , Senior DevOps Engineer, Gannett
While there are many Cloud design patterns for infrastructure, there are also many Cloud design patterns for developers. Come and learn how you can take your software design patterns and apply them to the next generation of cloud applications, or simply modernise your existing software architectures.
Speaker: Arden Packeer, Solutions Architect, Amazon Web Services
Delivering DevOps on AWS - Transformation Day Public Sector London 2017Amazon Web Services
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.
Speaker:
Mario Vlachakis, Solutions Architect, Amazon Web Services
From the Amazon Web Services Singapore & Malaysia Summits 2015 Track 2 Breakout, 'Windows and .NET on AWS'
The AWS Cloud Supports Microsoft Windows Server. Presented by James Saull, Principal Solutions Architect - Amazon Web Services.
Container Management on AWS with ECS, Docker and Blox - Level 400Amazon Web Services
Managing and scaling hundreds of containers is a challenging task. A container management solution takes care of these challenges for you, allowing you to focus on developing your application. We will discuss how to run well-architected container based applications at scale on ECS. We will dive deep into scaling, custom scheduling and secrets management. We will also briefly cover extending ECS using Blox and some alternative container solutions that are supported by AWS.
Speakers:
Richard Busby, Principal Solutions Architect
Shiva Narayanaswamy, Development Team Lead, Envato
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 followed by Amazon engineers and discuss how you can bring them to your company by using AWS CodePipeline and AWS CodeDeploy, services inspired by Amazon's internal developer tools and DevOps culture.
NEW LAUNCH! Introducing AWS Batch: Easy and efficient batch computing on Amaz...Amazon Web Services
AWS Batch is a fully-managed service that enables developers, scientists, and engineers to easily and efficiently run batch computing workloads of any scale on AWS. AWS Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With AWS Batch, there is no need to install or manage batch computing software, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2, Spot Instances, and AWS Lambda. AWS Batch reduces operational complexities, saving time and reducing costs. In this session, Principal Product Managers Jamie Kinney and Dougal Ballantyne describe the core concepts behind AWS Batch and details of how the service functions. The presentation concludes with relevant use cases and sample code.
Currently, a breadth of AWS training opportunities are available worldwide, both led by AWS and through community-driven training platforms. In this session, community leaders sort through the different training resources, discuss the resources they used to help them become AWS experts, and explain how different training solutions can complement one another.
SEC306 Using Microsoft Active Directory Across On-Premises and AWS Cloud Wind...Amazon Web Services
Do you have questions on how to best use Microsoft Active Directory with your AWS Windows workloads? Do you need a deep-dive on securely setting up trusts between your on-premises Active Directory and your AWS Directory Services for Microsoft Active Directory? This session will help you understand the differences between AWS Directory Service for Microsoft AD, building your own Microsoft Active Directory on Amazon EC2, or joining your cloud resources to your on-premises Active Directory over a direct network connection. After this session you will be an expert on how to setup single sign-on for your cloud applications and resources, using Group Policy for your EC2 systems, and how to securely configure trusts across your on-premises and AWS Cloud Active Directories.
With security-relevant services such as AWS Config, VPC Flow Logs, Amazon CloudWatch Events, and AWS Lambda, you now have the ability to automatically respond to and process security events that may occur within your AWS environment. These including prevention, detection, response, and remediation. This session covers the process of automating security event response using various AWS building blocks, gaining confidence in your coverage by proactively testing security monitoring and response effectiveness before anyone else does.
Running a Highly Scalable Immersive Media Solution on AWS Using EC2 Spot Inst...Amazon Web Services
Learning Objectives:
-Understand key EC2 Spot Instances concepts and common usage patterns for maximum scale and cost optimization in the cloud
- Leverage lower compute costs to better compete on price and, as a result, winning more business
- Leverage the full scale of the AWS cloud for faster results
In this session, we will look at building cost-effective on-demand and live streaming solutions on AWS to support 360 and immersive media experiences using Amazon EC2 Spot Instances, AWS Elastic Load Balancing, Amazon S3, Amazon Simple Queuing Service (SQS), Amazon CloudFront, and the Amazon EC2 Container Service (ECS).
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.
Learn how REAN Cloud helped AWS customer Ellucian develop a DevOps framework to transform their software delivery process for over 80 product lines. Attendees will gain an understanding of a real-world continuous integration/continuous delivery framework that leverages Packer, Jenkins, Vagrant, and Terraform, along with the DevOps Accelerator Platform by REAN Cloud.
REAN Cloud can implement a continuous integration and delivery pipeline on AWS and instill a DevOps culture for your dev teams. REAN provides a combination of DevOps and AWS expertise while also delivering managed services through CloudOps & SecOps.
Join us to learn:
• Select new AWS features
• Automating provisioning & configuration, auto-scaling
• Automated infra, security and functional tests
Who should attend:
CTOs, CIOs, Information Architects, Cloud Owners, Enterprise Architects, DevOps Managers, Senior Technical Managers in Engineering, Application Support Analysts, Infrastructure Analysts and System Administrators.
Speakers
Ekta Parashar, Solution Architect, Amazon Internet Services Pvt. Ltd
Gunanand Nagarkar, Sr. Director, REAN Cloud
Sanju Burkule, Sr. Director, REAN Cloud
Windows Workloads on AWS - July 2017 AWS Online Tech TalksAmazon Web Services
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.
AWS re:Invent 2016: Build a Serverless Back End for Your Alexa-Based Voice In...Amazon Web Services
Learn how to develop voice-based serverless back ends for Alexa Voice Service (AVS) and Alexa devices using the Alexa Skills Kit (ASK), which allows you to add new voice-based interactions to Alexa. We’ll code a new skill, implemented by a serverless backend leveraging AWS services such as Amazon Cognito, AWS Lambda, and Amazon DynamoDB. Often, your skill needs to authenticate your users and link them back to your backend systems and to persist state between user invocations. User authentication is performed by leveraging OAuth compatible identity systems. Running such a system on your back end requires undifferentiated heavy lifting or boilerplate code. We’ll leverage Login with Amazon as the identity provider instead, allowing you to focus on your application implementation and not on the low-level user management parts. At the end of this session, you’ll be able to develop your own Alexa skills and use Amazon and AWS services to minimize the required backend infrastructure. This session shows you how to deploy your Alexa skill code on a serverless infrastructure, leverage AWS Lambda, use Amazon Cognito and Login with Amazon to authenticate users, and leverage AWS DynamoDB as a fully managed NoSQL data store.
In this session, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens. We will give an overview of the core architectural principles underlying Amazon ECS, and we will walk through a number of patterns used by our customers to run their microservices platforms and batch applications.
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.
This presentation is focused on building solutions and strategy to solve business or customer engagement challenges. It tells the Amazon Machine Learning story and describes core AWS Artificial Intelligence services such as Polly, Lex and Rekognition can be applied to business problems.
An Overview of AI at AWS: Amazon Lex, Amazon Polly, Amazon Rekognition, Apach...Amazon Web Services
by Keith Steward, Solutions Architect, AWS
AI services on the AWS cloud bring deep learning technologies like natural language understanding, automatic speech recognition, computer vision, text-to-speech, and machine learning within reach of every developer. For more in-depth deep learning applications, the Deep Learning AMIs let you create managed, auto-scaling clusters of GPUs for large scale training, or run inference on trained models with compute-optimized or general-purpose CPU instances. Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud. Level 200
Make your solution see, hear and talk, leveraging artificial intelligence services based on deep learning and neural networks. We will discover three new AI tools from AWS - Lex, Polly and Rekognition; integrated with a physical world device for human interaction and environmental awareness
Speaker: Sunil Mallya, Solutions Architect, AWS Deep Learning
New Artificial Intelligence and IoT Services (Lex, Polly, Rekognition, Greeng...Amazon Web Services
This talk will recap new AI and IoT services announced or released at re:Invent. In the AI space, Gavin will cover Lex, the same deep learning engine that power Alexa; Polly, a service that turns text into lifelike speech; and Rekognition, a service that makes it easy to add image analysis to your applications. For IoT, he will cover Greengrass, which is software that lets you run local compute, messaging and data caching for connected devices. Also covered will be the 2nd generation AWS IoT Button, and Enterprise Program.
Steve Shirkey, Solutions Architect, ASEAN, AWS
With the launch of several new Machine Learning (ML) services on AWS, now is your chance to learn how to quickly apply ML to solve real-world business problems, no prior ML experience necessary. During this session, you will learn about vision services to analyze your images and video for facial comparison, object detection and detecting text (Amazon Rekognition and Amazon Rekognition Video), building conversational interfaces for chatbots (Amazon Lex), and core language services for converting audio to text (Amazon Transcribe), converting text to speech (Amazon Polly), identifying topics and themes in text (Amazon Comprehend) and translating between two languages (Amazon Translate).
Artificial Intelligence (AI) services on the AWS cloud bring deep learning (DL) technologies like natural language understanding (NLU), automatic speech recognition (ASR), image recognition and computer vision (CV), text-to-speech (TTS), and machine learning (ML) within reach of every developer. In this quick overview, you will be introduced to several new AI services: Amazon Lex, to build sophisticated text and voice chatbots; Amazon Rekognition, for deep learning-based image recognition; and Amazon Polly, for turning text into lifelike speech.
Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and ML technologies within the reach of every developer. In this session, we will dive deep into 2 specific AWS services: Amazon Lex and Amazon Polly. Amazon Lex uses the same technology as Amazon Alexa to provide advanced deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU) to enable you to build applications with conversational interfaces, commonly called chatbots. Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that speak in over two dozen languages with a wide variety of natural sounding male and female voices to enable you to build entirely new categories of speech-enabled products.
"Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities. In this session, you will learn about serverless architectures, their benefits, and the basics of the AWS’s serverless stack (e.g., AWS Lambda, Amazon API Gateway, and AWS Step Functions).
We will discuss how to use serverless architectures for a variety of use cases including data processing, website backends, serverless applications, and “operational glue.” You will also get practical tips and tricks, best practices, and architecture patterns that you can take back and implement immediately."
Unlocking New Todays - Artificial Intelligence and Data Platforms on AWSAmazon Web Services
熱門創新服務專題
Unlocking New Todays: Artificial Intelligence and Data Platforms on AWS (Level 200)
Speaker: Paul Yung, Head of Territory Development HKT, AWS
How we got to where we are?
What's Serverless
Serverless Principles
Pros and cons
Serverless architectures
Lambda Anatomy
Demos
AWS SAM
Demo
By : Ahmed Samir
a session in AWS Riyadh User Group to discuss AWS RDS >> which is fully managed service to handle all Database management and administrations tasks with multiple engines support
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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 the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
3. Artificial Intelligence
• Artificial intelligence (AI) is an area of computer
science that emphasizes the creation of intelligent
machines that work and react like humans.
4. Machine Learning
• Is the ability for machine to learn without being
programmed by input.
5. Deep Learning
• Teaches computers to do what comes naturally to
humans, learn by example(ANN).
9. AWS Polly
• Amazon Polly is a service that turns text into lifelike
speech.
• You can control various aspects of speech such as pronunciation, volume, pitch, speech
rate, etc.
• Standardized Speech Synthesis Markup Language (SSML).
• Speech Marks are designed to complement the synthesized speech that is
generated from the input text.
10. AWS Comprehend
• Amazon Comprehend is a natural language processing
(NLP) service that uses machine learning to find
insights and relationships in text.
• Keyphrase Extraction.
• Sentiment Analysis (Positive, Negative, Neutral, or Mixed).
• Syntax Analysis (Verb, Pronoun, Proper noun, etc).
• Entity Recognition.
• Custom Entities (domain-specific).
• Language Detection.
11. AWS Rekognition
• Amazon Rekognition makes it easy to add image and
video analysis to your applications.
• Real-time Analysis of Streaming Video.
• Person Identification and Pathing .
• Face Recognition.
• Facial Analysis.
• Inappropriate Video Detection.
• Celebrity Recognition.
12. AWS Transcribe
• Amazon Transcribe is an automatic speech recognition
(ASR) service that makes it easy for developers to add
speech-to-text capability to their applications.
• Easy-to-Read Transcriptions (text with punctuation).
• Timestamp Generation.
• Recognize Multiple Speakers.
• Streaming Transcription.
13. AWS Translate
• Amazon Translate is a neural machine translation
service that delivers fast, high-quality, and affordable
language translation.
• Broad Language Coverage (21 languages).
• Neural Network-Based.
• Language Identification.
• Real-Time Translations.
14. AWS Lex
• Amazon Lex is a service for building conversational
interfaces into any application using voice and text.
• High quality speech recognition and
natural language understanding.
• Multi-turn conversations.
• Integration with AWS Lambda.
• Connect to Enterprise Systems.
• One-click Deployment.
• Powerful Lifecycle Management
Capabilities.
• 8 kHz Telephony Audio Support.
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