The document discusses AWS Code services that can be used to automate the software release process. It describes CodeCommit for source control, CodeBuild for building and testing code, and CodeDeploy for deploying builds to EC2/on-premises servers. CodePipeline allows orchestrating builds and deployments across different environments through a visual workflow.
With Amazon CodeDeploy, you can automate your code deployments to one Amazon EC2 instance or thousands. AWS CodeDeploy eliminates the need for error-prone manual operations and helps you get new features to your customers faster. The service also lets you build on your existing investments in Ansible, Chef, Puppet, and SaltStack; and it’s integrated with popular developer tools like GitHub and Jenkins. Join us in this breakout to learn how AWS CodeDeploy works and to see a live demonstration of the service in action.
We’ll also illustrate AWS CodeDeploy’s integration with the forthcoming AWS CodeCommit, a scalable, redundant, and durable Git repository; as well as AWS CodePipeline, a continuous delivery and release automation service that automates your release process.
Speakers:
Shaun Pearce, AWS Solutions Architect
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
AWS CodeDeploy is a fully managed deployment service that automates software deployments to compute services such as Amazon EC2, AWS Lambda, and your on-premises servers.
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.
Amazon Elastic Kubernetes Service (EKS)는 표준 Kubernetes 환경에서 실행되는 어플리케이션과 완벽히 호환됩니다. AWS상에서 Kubernetes 클러스터를 생성하고, 컨테이너 어플리케이션을 배포, 관리, 확장 및 로깅, 모니터링에 대한 실습과 함께, 최근 릴리즈된 AWS IAM 권한을 Pod에 할당하는 방법 등을 Amazon EKS에서 구현하는 과정을 진행합니다.
AWS January 2016 Webinar Series - Introduction to Deploying Applications on AWSAmazon Web Services
Based on your specific needs and the nature of your application, AWS offers a variety of services for getting your application up and running. You may want to launch and scale a web application or you may want to host a microservices application using Docker containers. How do you decide which service to use and when?
In this webinar, we will provide an overview of the AWS services that help simplify launching and running your application in the cloud. We will discuss the strengths of each service and provide a framework for understanding when to use them.
Learning Objectives:
Understand the primary services for deploying your application on AWS
Learn the basics of AWS Elastic Beanstalk, AWS CodeDeploy, and Amazon EC2 Container Service
Gain an understanding of the strengths of each service and when to use them
Who Should Attend:
Developers, DevOps Engineers, IT Professionals
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
With Amazon CodeDeploy, you can automate your code deployments to one Amazon EC2 instance or thousands. AWS CodeDeploy eliminates the need for error-prone manual operations and helps you get new features to your customers faster. The service also lets you build on your existing investments in Ansible, Chef, Puppet, and SaltStack; and it’s integrated with popular developer tools like GitHub and Jenkins. Join us in this breakout to learn how AWS CodeDeploy works and to see a live demonstration of the service in action.
We’ll also illustrate AWS CodeDeploy’s integration with the forthcoming AWS CodeCommit, a scalable, redundant, and durable Git repository; as well as AWS CodePipeline, a continuous delivery and release automation service that automates your release process.
Speakers:
Shaun Pearce, AWS Solutions Architect
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
AWS CodeDeploy is a fully managed deployment service that automates software deployments to compute services such as Amazon EC2, AWS Lambda, and your on-premises servers.
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.
Amazon Elastic Kubernetes Service (EKS)는 표준 Kubernetes 환경에서 실행되는 어플리케이션과 완벽히 호환됩니다. AWS상에서 Kubernetes 클러스터를 생성하고, 컨테이너 어플리케이션을 배포, 관리, 확장 및 로깅, 모니터링에 대한 실습과 함께, 최근 릴리즈된 AWS IAM 권한을 Pod에 할당하는 방법 등을 Amazon EKS에서 구현하는 과정을 진행합니다.
AWS January 2016 Webinar Series - Introduction to Deploying Applications on AWSAmazon Web Services
Based on your specific needs and the nature of your application, AWS offers a variety of services for getting your application up and running. You may want to launch and scale a web application or you may want to host a microservices application using Docker containers. How do you decide which service to use and when?
In this webinar, we will provide an overview of the AWS services that help simplify launching and running your application in the cloud. We will discuss the strengths of each service and provide a framework for understanding when to use them.
Learning Objectives:
Understand the primary services for deploying your application on AWS
Learn the basics of AWS Elastic Beanstalk, AWS CodeDeploy, and Amazon EC2 Container Service
Gain an understanding of the strengths of each service and when to use them
Who Should Attend:
Developers, DevOps Engineers, IT Professionals
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
While many organizations have started to automate their software development processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
AWS is architected to be one of the most flexible and secure cloud computing environments available today. It provides an extremely scalable, highly reliable platform that enables customers to deploy applications and data quickly and securely. When using AWS, not only are infrastructure headaches removed, but so are many of the security issues that come with them.
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Are you looking to automate your infrastructure but not sure where to start? View this presentation on ‘Getting started with Infrastructure as code’ to learn how to leverage IaC to deploy and manage resources on Azure. You will learn:
• Introduction to IaC
• Develop a simple IaC using Terraform
• Manage the deployed infrastructure using Terraform
View webinar recording at https://www.winwire.com/webinars
Continuous Delivery with AWS Lambda - AWS April 2016 Webinar SeriesAmazon Web Services
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this webinar, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline. We will discuss how to use versioning, allowing you to better manage the different variations of your Lambda function and API Gateway methods in your development workflow, such as development, staging, and production. We will walk through how to automate the entire release process of your application from development to staging and finally to production, performing automated integration tests at each stage.
Learning Objectives:
Understand the basics of AWS CodePipeline
Learn how to version AWS Lambda functions and API Gateway methods
Build a deployment pipeline to AWS Lambda
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about features of EC2, EC2 Options, family type, storage, EBS Volumes, EC2 Instance Store, Security Groups, Volumes and Snapshots, Amazon Machine Image (AMI), Elastic load balancer, Classic load balancer, Application load balancer, Network load balancer, AWS CLI and EC2 Metadata
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key features, and the concept of instance generations.
Amazon Elastic Compute Cloud (Amazon EC2) provides scalable computing capacity in the Amazon Web Services (AWS) cloud
Can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage storage
Amazon EC2 enables you to scale up or down to handle changes in requirements or spikes in popularity, reducing your need to forecast traffic
AWS' philosophy and recommended best practices for building microservices applications, how AWS services like Lambda and API gateway benefit developers building microservices apps, and how customers are using these two and other AWS services to deliver their microservices apps
AWS CloudFormation is a comprehensive templating language that enables you to create managed 'stacks' of AWS resources, with a growing library of templates available for you to use. But how do you create one from scratch? This presentation will take you through building an AWS CloudFormation template from the ground up, so you can see all the essential template constructs in action.
Watch a recording of the webinar based on this presentation on YouTube here: http://youtu.be/6R44BADNJA8
Check out other upcoming webinars in the Masterclass Series here: http://aws.amazon.com/campaigns/emea/masterclass/
GDG Cloud Southlake #8 Steve Cravens: Infrastructure as-Code (IaC) in 2022: ...James Anderson
Infrastructure as Code (IaC) is a concept that has been around for a while now and much research has been done to not only prove out the value but also how to enhance IaC implementations. We have a full guest list including Steve Cravens, who can speak to the school of hard knocks of why IaC is important. Stenio Ferreira, who prior to Google worked at Hashicorp and has vast experience on how to successfully implement IaC with Terraform. Lastly, Josh Addington, who is an Sr. Solutions Engineer at Hashicorp and will be speaking to the Day 2 operations as well as other offerings that can enhance IaC implementations.
Here is the high level overview:
• IaC overview
• Terraform Tactical
• IaC day 2 and Governance
(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.
While many organizations have started to automate their software development processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
AWS is architected to be one of the most flexible and secure cloud computing environments available today. It provides an extremely scalable, highly reliable platform that enables customers to deploy applications and data quickly and securely. When using AWS, not only are infrastructure headaches removed, but so are many of the security issues that come with them.
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Are you looking to automate your infrastructure but not sure where to start? View this presentation on ‘Getting started with Infrastructure as code’ to learn how to leverage IaC to deploy and manage resources on Azure. You will learn:
• Introduction to IaC
• Develop a simple IaC using Terraform
• Manage the deployed infrastructure using Terraform
View webinar recording at https://www.winwire.com/webinars
Continuous Delivery with AWS Lambda - AWS April 2016 Webinar SeriesAmazon Web Services
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this webinar, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline. We will discuss how to use versioning, allowing you to better manage the different variations of your Lambda function and API Gateway methods in your development workflow, such as development, staging, and production. We will walk through how to automate the entire release process of your application from development to staging and finally to production, performing automated integration tests at each stage.
Learning Objectives:
Understand the basics of AWS CodePipeline
Learn how to version AWS Lambda functions and API Gateway methods
Build a deployment pipeline to AWS Lambda
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about features of EC2, EC2 Options, family type, storage, EBS Volumes, EC2 Instance Store, Security Groups, Volumes and Snapshots, Amazon Machine Image (AMI), Elastic load balancer, Classic load balancer, Application load balancer, Network load balancer, AWS CLI and EC2 Metadata
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key features, and the concept of instance generations.
Amazon Elastic Compute Cloud (Amazon EC2) provides scalable computing capacity in the Amazon Web Services (AWS) cloud
Can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage storage
Amazon EC2 enables you to scale up or down to handle changes in requirements or spikes in popularity, reducing your need to forecast traffic
AWS' philosophy and recommended best practices for building microservices applications, how AWS services like Lambda and API gateway benefit developers building microservices apps, and how customers are using these two and other AWS services to deliver their microservices apps
AWS CloudFormation is a comprehensive templating language that enables you to create managed 'stacks' of AWS resources, with a growing library of templates available for you to use. But how do you create one from scratch? This presentation will take you through building an AWS CloudFormation template from the ground up, so you can see all the essential template constructs in action.
Watch a recording of the webinar based on this presentation on YouTube here: http://youtu.be/6R44BADNJA8
Check out other upcoming webinars in the Masterclass Series here: http://aws.amazon.com/campaigns/emea/masterclass/
GDG Cloud Southlake #8 Steve Cravens: Infrastructure as-Code (IaC) in 2022: ...James Anderson
Infrastructure as Code (IaC) is a concept that has been around for a while now and much research has been done to not only prove out the value but also how to enhance IaC implementations. We have a full guest list including Steve Cravens, who can speak to the school of hard knocks of why IaC is important. Stenio Ferreira, who prior to Google worked at Hashicorp and has vast experience on how to successfully implement IaC with Terraform. Lastly, Josh Addington, who is an Sr. Solutions Engineer at Hashicorp and will be speaking to the Day 2 operations as well as other offerings that can enhance IaC implementations.
Here is the high level overview:
• IaC overview
• Terraform Tactical
• IaC day 2 and Governance
(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.
ChinaNetCloud talk on Operations-as-a-Service at AWS China Summit 2015 in Shanghai. Covers OaaS cases, technology, and AWS.
Given December 17th, 2015, in Shanghai, in Chinese by Yinan Gu.
Web Applications on AWS: This session introduces AWS services that you can leverage to build a scalable web application architecture on AWS to handle large-scale flows.
Dev Ops on AWS - Accelerating Software Delivery - AWS-Summit SG 2017Amazon 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 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.
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.
A Tale of Two Pizzas: Accelerating Software Delivery with AWS Developer ToolsAmazon Web Services
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 session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover 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.
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 session, we cover how you can begin your DevOps journey by sharing best practices and tools used by engineering teams at Amazon. We showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. In addition, we introduce AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, and AWS X-Ray, the services inspired by Amazon's internal developer tools and DevOps practices.
ENT201 A Tale of Two Pizzas: Accelerating Software Delivery with AWS Develope...Amazon Web Services
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 session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, the services inspired by Amazon's internal devloper tools and DevOps practice.
Intro to AWS Developer Tools feat. AWS Codestar, and AWS SDKs & Developer Res...Amazon Web Services
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 session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, the services inspired by Amazon's internal devloper tools and DevOps practices.
ENT201 A Tale of Two Pizzas: Accelerating Software Delivery with AWS Develope...Amazon Web Services
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 session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, the services inspired by Amazon's internal devloper tools and DevOps practice.
Announcing AWS CodeBuild - January 2017 Online Teck TalksAmazon 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 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.
Learning Objectives:
• Understand the concepts of DevOps, continuous integration, and continuous delivery
• Learn about Amazon’s DevOps practices
• Hear an overview of how to build a continuous integration and continuous delivery workflow using the combination of CodeBuild, CodePipeline, and CodeDeploy
DevOps Day at the San Francisco Loft: DevOps on AWS
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 session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Level: 200
Speaker: Sam Hennessy - Solutions Architect, AWS
by Nick Brandaleone, Solutions Architect AWS
Join us to learn about continuous integration, continuous delivery, and DevOps. The AWS Developer Tools have been designed based on the tools used by Amazon engineers to rapidly and reliably deliver products and features to customers. We’ll provide overviews of the services and best practices followed by a hands-on workshop to help you learn how to automate your software release processes, deploy application code, and monitor your application and infrastructure performance.
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 session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
AWS DevOps Essentials: An Introductory Workshop on CI/CD Best Practices (DEV3...Amazon Web Services
In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities. In this session, we demonstrate a prescriptive approach to incrementally adopt and embrace some of the best practices around continuous integration and delivery using AWS developer tools and third-party solutions, including AWS CodeCommit, AWS CodeBuild, Jenkins, AWS CodePipeline, AWS CodeDeploy, AWS X-Ray, and AWS Cloud9. We also highlight some best practices and productivity tips that can help make your software release process fast, automated, and reliable.
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.
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, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
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.
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.
4. • Integration
tests with
other systems
• Load testing
• UI tests
• Penetration
testing
Release processes have four major phases
Source Build Test Production
• Check-in
source code
such as .java
files.
• Peer review
new code
• Compile code
• Unit tests
• Style checkers
• Code metrics
• Create
container
images
• Deployment
to production
environments
17. Continuous delivery service for fast and
reliable application updates
Model and visualize your software release
process
Builds, tests, and deploys your code every time
there is a code change
Integrates with third-party tools and AWS
AWS CodePipeline
27. Secure, scalable, and managed Git source
control
Use standard Git tools
Scalability, availability, and durability of
Amazon S3
Encryption at rest with customer-specific keys
No repo size limit
Post commit hooks to call out to SNS/Lambda
AWS CodeCommit
28. Source control in the cloud
Secure Fully
managed
High
availability
Store
anything
29. AWS CodeCommit
git pull/push CodeCommit
Git objects in
Amazon S3
Git index in
Amazon
DynamoDB
Encryption key
in AWS KMS
SSH or HTTPS
30. Build & test your
application
https://secure.flickr.com/photos/spenceyc/7481166880
31. Fully managed build service that compiles source code,
runs tests, and produces software packages
Scales continuously and processes multiple builds
concurrently
You can provide custom build environments suited to
your needs via Docker images
Only pay by the minute for the compute resources you
use
Launched with CodePipeline and Jenkins integration
AWS CodeBuild
32. How does it work?
1. Downloads source code
2. Executes commands configured in the buildspec in
temporary compute containers (created fresh on every
build)
3. Streams the build output to the service console and
CloudWatch logs
4. Uploads the generated artifact to an S3 bucket
33. How can I automate my release process with CodeBuild?
• Integrated with AWS CodePipeline for CI/CD
• Easily pluggable (API/CLI driven)
• Bring your own build environments
• Create Docker images containing tools you need
• Open source Jenkins plugin
• Use CodeBuild as the workers off of a Jenkins master
34. No Building Required!
Many languages don’t require building. These
are considered interpreted languages:
• PHP
• Ruby
• Python
• Node.js
You can just deploy your code!
EC2
35. Testing Your Code
Testing is both a science and an art form!
Goals for testing your code:
• Want to confirm desired functionality
• Catch programming syntax errors
• Standardize code patterns and format
• Reduce bugs due to non-desired application
usage and logic failures
• Make applications more secure
39. Automates code deployments to any instance
Handles the complexity of updating your
applications
Avoid downtime during application deployment
Rollback automatically if failure detected
Deploy to Amazon EC2 or on-premises
servers, in any language and on any operating
system
Integrates with third-party tools and AWS
AWS CodeDeploy
40. AWS CodeDeploy - Components
Application: What you
are deploying – A
container for revisions
Revision: A
given version
of your
application
Instance: Target
instance for
deployment
Deployment Groups: Group of
instances – A construct for
environment segregation
(Dev/QA/Prod, Blue/Green, A/B, etc.)
AppSpec File: Describes actions that
needs to be taken pre- or post-deployment
Deployment: The
action of deploying a
new revision onto
instances
41. AWS CodeDeploy - Application
• The Application is
the highest level
container
• Revisions will be
attached to the
Application
42. AWS CodeDeploy - Revisions
Revisions are versions of your application
They can be uploaded to:
• Amazon S3
• GitHub
Revisions are deployed onto Deployment Groups, which are
groups of instance
43. AWS CodeDeploy – Instance Setup
• Verify your instance has an IAM instance profile and verify
the permissions allows it to participate in AWS CodeDeploy
deployments
• Tag the instance - or make sure it’s in an Auto Scaling Group
• Install the agent (can be automated)
• Verify the agent is running
44. AWS CodeDeploy – Setup Deployment Groups
Group instances by:
• Auto Scaling Groups
• EC2 Tags
• On-Premise tags
Deploy to Deployment Groups
independently from each other
Could be used for “DevOps” constructs:
• Dev/QA/Prod/etc.
• Blue/Green
• A/B Testing
• Etc.
45. AWS CodeDeploy – Lifecycle Events
AfterInstall
ApplicationStart
ValidateService
ApplicationStop
BeforeInstall
Agent
The agent goes through a
series of steps before and
after deployment
These steps allow you to
tightly control how your
application is deployed
For example, you may want
to stop your application
cleanly
46. AWS CodeDeploy – AppSpec File
version: 0.0
os: linux
files:
- source: /
destination: /var/www/html/WordPress
hooks:
ApplicationStop:
- location: helper_scripts/stop_server.sh
BeforeInstall:
- location: deploy_hooks/install-apache.sh
- location: deploy_hooks/install-mysql.sh
AfterInstall:
- location: deploy_hooks /configure_app.sh
timeout: 30
runas: root
• AppSpec.yml sits in
your application’s
source directory
structure
• Allows you to defines
the hooks you want to
use.
52. Code* Tips and Tricks
• All Code* products can(and should) be provisioned and managed
with AWS CloudFormation!
• You could literally store the CloudFormation templates that provision
your Code* resources in CodeCommit and update them via
CodePipeline (It’s like Code* Inception!)
• Deep integration with IAM. You can assign permissions on who can
commit code, approve manual approvals, deploy to certain
deployment groups and more!
• Integrate with AWS Lambda to do almost anything:
• CodeCommit has Repository Triggers
• CodeDeploy has Event Notifications
• CodePipeline has native Lambda invoke
AWS CodePipeline AWS CodeCommit AWS CodeBuildAWS CodeDeploy
I want to take a moment to talk about different release processes.
Each team’s release process takes a different shape to accommodate the needs of each team.
Nearly all release processes can be simplified down to four stages – source, build, test and production. Each phase of the process provides increase confidence that the code being made available to customers will work in the way that was intended.
During the source phase, developers check changes into a source code repository. Many teams require peer feedback on code changes before shipping code into production. Some teams use code reviews to provide peer feedback on the quality of code change. Others use pair programming as a way to provide real time peer feedback.
During the Build phase an application’s source code is built and the quality of the code is tested on the build machine. The most common type of quality check are automated tests that do not require a server in order to execute and can be initiated from a test harness. Some teams extend their quality tests to include code metrics and style checks. There is an opportunity for automation any time a human is needed to make a decision on the code.
The goal of the test phase is to perform tests that cannot be done on during the build phase and require the software to be deployed to a production like stages. Often these tests include testing integration with other live systems, load testing, UI testing and penetration testing. At Amazon we have many different pre-production stages we deploy to. A common pattern is for engineers to deploy builds to a personal development stage where an engineer can poke and prod their software running in a mini prod like stage to check that their automated tests are working correctly. Teams deploy to pre-production stages where their application interacts with other systems to ensure that the newly changed software work in an integrated environment.
Finally code gets deployed to production. Different teams have different deployment strategies though we all share a goal of reducing risk when deploying new changes and minimizing the impact if a bad change does get out to production.
Each of these steps can be automated without the entire release process being automated. There are several levels of release automation that I’ll step through.
Continuous Integration
Continuous Integration is the practice of checking in your code to the continuously and verifying each change with an automated build and test process. Over the past 10 years Continuous Integration has gained popularity in the software community. In the past developers were working in isolation for an extended period of time and only attempting to merge their changes into the mainline of their code once their feature was completed. Batching up changes to merge back into the mainline made not only merging the business logic hard, but it also made merging the test logic difficult. Continuous Integration practices have made teams more productive and allowed them to develop new features faster. Continuous Integration requires teams to write automated tests which, as we learned, improve the quality of the software being released and reduce the time it takes to validate that the new version of the software is good.
There are different definitions of Continuous Integration, but the one we hear from our customers is that CI stops at the build stage, so I’m going to use that definition.
Continuous Delivery
Continuous Delivery extends Continuous Integration to include testing out to production-like stages and running verification testing against those deployments. Continuous Delivery may extend all the way to a production deployment, but they have some form of manual intervention between a code check-in and when that code is available for customers to use.
Continuous Delivery is a big step forward over Continuous Integration allowing teams to be gain a greater level of certainty that their software will work in production.
Continuous Deployment
Continuous Deployment extends continuous delivery and is the automated release of software to customers from check in through to production without human intervention. Many of the teams at Amazon have reached a state of continuous deployment. Continuous Deployment reduces the time for your customers to get value from the code your team has just written, with the team getting faster feedback on the changes you’ve made. This fast customer feedback loop allow you to iterate quickly, allowing you to deliver more valuable software to your customers, quicker.
Let’s take a look at an example Pipeline. I’ve created a simple 3 stage Pipeline to talk though my example.
Source actions are special actions. They continuously poll the source providers, such as GitHub and S3, in order to detect changes. Once a change is detected, the new pipeline run is created and the new pipeline begins its run. The source actions retrieve a copy of the source information and place it into a customer owned S3 bucket.
Once the source action is completed, the Source stage is marked as successful and we transition to the Build stage.
In the Build Stage we have one action, Jenkins. Jenkins was integrated into CodePipeline as a CustomAction and has the same lifecycle as all custom actions. Talk through interaction
Once the build action is completed, the Build stage is marked as successful and we transition to the Deploy stage
The Deploy stage contains one action, an AWS Elastic Beanstalk deployment action. The Beanstalk action retrieves the build artifact from the customer’s S3 bucket and deploys it to the Elastic Beanstalk web container.
Let’s take a look at an example Pipeline. I’ve created a simple 3 stage Pipeline to talk though my example.
Source actions are special actions. They continuously poll the source providers, such as GitHub and S3, in order to detect changes. Once a change is detected, the new pipeline run is created and the new pipeline begins its run. The source actions retrieve a copy of the source information and place it into a customer owned S3 bucket.
Once the source action is completed, the Source stage is marked as successful and we transition to the Build stage.
In the Build Stage we have one action, Jenkins. Jenkins was integrated into CodePipeline as a CustomAction and has the same lifecycle as all custom actions. Talk through interaction
Once the build action is completed, the Build stage is marked as successful and we transition to the Deploy stage
The Deploy stage contains one action, an AWS Elastic Beanstalk deployment action. The Beanstalk action retrieves the build artifact from the customer’s S3 bucket and deploys it to the Elastic Beanstalk web container.
Let’s take a look at an example Pipeline. I’ve created a simple 3 stage Pipeline to talk though my example.
Source actions are special actions. They continuously poll the source providers, such as GitHub and S3, in order to detect changes. Once a change is detected, the new pipeline run is created and the new pipeline begins its run. The source actions retrieve a copy of the source information and place it into a customer owned S3 bucket.
Once the source action is completed, the Source stage is marked as successful and we transition to the Build stage.
In the Build Stage we have one action, Jenkins. Jenkins was integrated into CodePipeline as a CustomAction and has the same lifecycle as all custom actions. Talk through interaction
Once the build action is completed, the Build stage is marked as successful and we transition to the Deploy stage
The Deploy stage contains one action, an AWS Elastic Beanstalk deployment action. The Beanstalk action retrieves the build artifact from the customer’s S3 bucket and deploys it to the Elastic Beanstalk web container.
Let’s take a look at an example Pipeline. I’ve created a simple 3 stage Pipeline to talk though my example.
Source actions are special actions. They continuously poll the source providers, such as GitHub and S3, in order to detect changes. Once a change is detected, the new pipeline run is created and the new pipeline begins its run. The source actions retrieve a copy of the source information and place it into a customer owned S3 bucket.
Once the source action is completed, the Source stage is marked as successful and we transition to the Build stage.
In the Build Stage we have one action, Jenkins. Jenkins was integrated into CodePipeline as a CustomAction and has the same lifecycle as all custom actions. Talk through interaction
Once the build action is completed, the Build stage is marked as successful and we transition to the Deploy stage
The Deploy stage contains one action, an AWS Elastic Beanstalk deployment action. The Beanstalk action retrieves the build artifact from the customer’s S3 bucket and deploys it to the Elastic Beanstalk web container.
Let’s take a look at an example Pipeline. I’ve created a simple 3 stage Pipeline to talk though my example.
Source actions are special actions. They continuously poll the source providers, such as GitHub and S3, in order to detect changes. Once a change is detected, the new pipeline run is created and the new pipeline begins its run. The source actions retrieve a copy of the source information and place it into a customer owned S3 bucket.
Once the source action is completed, the Source stage is marked as successful and we transition to the Build stage.
In the Build Stage we have one action, Jenkins. Jenkins was integrated into CodePipeline as a CustomAction and has the same lifecycle as all custom actions. Talk through interaction
Once the build action is completed, the Build stage is marked as successful and we transition to the Deploy stage
The Deploy stage contains one action, an AWS Elastic Beanstalk deployment action. The Beanstalk action retrieves the build artifact from the customer’s S3 bucket and deploys it to the Elastic Beanstalk web container.
We have partnered with popular source, build, test and deployment systems to provide out-of-the-box integrations.
Jenkins, CloudBees and Solano offer CI services for build stages
BlazeMeter, Apica, HP StormRunner and Runscope are load testing partners.
GhostInspector is a User Interface Testing partner
GitHub is a source code partner
Xebia Labs is a deployment partner.
The effort you put into the testing triangle should not be evenly distributed! Many experts in the industry recommend a 70,20,10 mix. (will need sources)
The effort you put into the testing triangle should not be evenly distributed! Many experts in the industry recommend a 70,20,10 mix. (will need sources)