Introduction to Amazon Code Pipeline with Java part 3: adding custom job runners


In the previous post we went through the steps to set up a brand new pipeline in AWS Code Pipeline. If you are entirely new to the AWS tools then you might find it overwhelming at first as you have to learn about other AWS tools as well such as S3 and Elastic Beanstalk. However, you might not need all of it since a pipeline can be quite little and consist of only 2-3 steps. The pipeline will start executing as soon as it has been set up. The arrows connecting the steps enable us to cut the execution of the pipeline at a specific step.

In this post we’ll see how to update a pipeline. Updating the pipeline also makes it possible to add custom build runners to the pipeline. I’ll use the load test job runner I referred to in the first part. Note that you’ll need an Apica Loadtest account to fully follow along these steps. The main point is to demonstrate the process of adding a new custom job runner to an existing pipeline. The implementation details are not important at this moment.

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Introduction to Amazon Code Pipeline with Java part 2: setup


In the previous post we set out the main topic of this series. We’ll be talking and Amazon Code Pipeline and what it can do for you in terms of Continuous Delivery. The larger part of the post dealt with the differences between 3 related topics: Continuous Integration, Continuous Deployment and Continuous Delivery.

Code Pipeline is an example of an automated Continuous Delivery tool which can help you with the often tedious steps of builds, test runners and deployments. The idea is that the developer can concentrate on the exciting stuff, such as writing some fantastically well-written code which is then pushed into a code repository, like GitHub. The rest of the steps is then handled by a CI/CD tool like Jenkins.

In this post we’ll take a quick visual tour of Code Pipeline so that you get the idea how to set up a new pipeline. We won’t yet add a custom job runner as that is not part of the initial setup process.

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Introduction to Amazon Code Pipeline with Java part 1: basics of CI/CD


Amazon has a relatively new service out called Code Pipeline (CP). It is a Continuous Delivery tool that enables users to run builds, tests and deploys automatically. Its purpose is similar to other CI tools such as TeamCity or Jenkins but there are some fundamental differences in the architecture and customisation options.

The company I work for had the honour to team up with Amazon and be among the first to integrate a custom job processor in CP before it was made public in June 2015. I was very fortunate to take part in this project as the developer who was responsible for writing the job processor. Our tool is a selectable option among the job processor tools of type “Test”:

Apica Loadtest in Code Pipeline

In this series we’ll take a closer look at Code Pipeline and also how a new job processor can be integrated with it using Java. It’s a large topic so the series will also consist of many posts. At this point I’m not sure yet how many there will be but 15-18 is my initial estimate since I’d like to be as detailed as possible. The AWS CP home page provides a lot of details both about the general architecture and setup. The developer pages provide the API for the CP related classes and functions.

You’ll need at least a test AWS account if you want to try the tool and have a go at building a custom job processor. However, even if you don’t have an account it can be interesting for you to learn about this new technology.

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