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Tag: Continuous Integration (page 1 of 2)

Continuous Integration vs. Continuous Delivery vs. Continuous Deployment

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Over the past few years Continuous Integration, Continuous Delivery and Continuous Deployment have been a part of daily software vocabulary. What does it really mean, and what is the difference between continuous delivery, continuous deployment and continuous integration? Keep reading for some perspective.

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Guide To Understanding DevOps And Its Evolution

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The intention of DevOps is to create better-quality software more quickly and with more reliability while causing greater communication and collaboration between teams. This is the key to understanding what is DevOps. Leading organizations across the world have adopted DevOps methodologies to overhaul their performance, security and team dynamics. With more and more companies jumping on to the DevOps bandwagon, it has emerged as a hot skill to master in 2016. In this blog, let us find out what is DevOps and why is it such a big deal.

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Continuous Integration and Release Automation with AWS Code Commit, AWS Code Deploy and Jenkins (Part 5 End)

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Create a source bundle, which includes the deployment scripts, and upload it to AWS CodeCommit repository

Now you can download the following sample bundle to your local repository and push the change to the central repository along with your application code hosted on AWS CodeCommit. The sample bundle includes everything you need to work AWS CodeDeploy: the Application Specification (AppSpec) file and deployment scripts.

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Continuous Integration and Release Automation with AWS Code Commit, AWS Code Deploy and Jenkins (Part 4)

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Use AWS CodeDeploy to Deploy  Amazon EC2 Instances Behind an Elastic Load Balancer and Auto Scaling

Let’s assume you have an application architecture designed for high availability that includes an Elastic Load Balancer in front of multiple application servers belonging to an Auto Scaling Group. Elastic Load Balancing enables you to distribute incoming traffic over multiple servers and Auto Scaling allows you to scale your EC2 capacity up or down automatically according to your needs In this blog post, we will show how you can use CodeDeploy to avoid downtime when updating the code running on your application servers in such an environment. We will use the CodeDeploy rolling updates feature so that there is a minimum capacity always available to serve traffic and use a simple script to take EC2 instances out of the load balancer as and when we deploy new code on it.

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Continuous Integration and Release Automation with AWS Code Commit, AWS Code Deploy and Jenkins (Part 3)

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AWS CodeDeploy

AWS CodeDeploy coordinates application deployments to Amazon EC2 instances, on-premises instances, or both. (On-premises instances are physical devices that are not Amazon EC2 instances.)

An application can contain deployable content like code, web, and configuration files, executables, packages, scripts, and so on. AWS CodeDeploy deploys applications from Amazon S3 buckets and GitHub repositories.

You do not need to make changes to your existing code to use AWS CodeDeploy. You can use AWS CodeDeploy to control the pace of deployment across Amazon EC2 instances and to define the actions to be taken at each stage. AWS CodeDeploy works with various systems for configuration management, source control, continuous integration, continuous delivery, and continuous deployment.

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