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How I passed Red Hat Certificate of Expertise in Ansible Automation exam (EX407)

I have recently passed Red Hat’s EX407 (Red Hat Certificate of Expertise in Ansible Automation exam) and I wanted to share my experience for anyone else who might be looking into getting that certificate. At the time of my exam, I was only a second (publicly visible) person in the UK who had that certificate. Probably because it was only made available in summer this year.

Capsicum: add some spice to your FreeBSD

Application sandboxes are getting more and more popular. There are multiple schools and implementations. Let’s see how to use the FreeBSD’s Capsicum.

Deployment pipeline, part 3: deployment onto an environment

The purpose of every deployment pipeline is… a deployment. So this final part of the series, will focus on just that. If you missed the intro, check out the video where I describe a typical pipeline here. You can find the other parts of this series, by checking out the tag ci-pipeline-series .

Once we create an AMI that we’d like to deploy, performing a rolling update on existing instances is fairly easy. Usage of Auto scaling groups and CloudFormation makes it even easier - since AWS Auto scaling groups support the rolling updates out of the box.

Or, if your applications requires blue-green deployments, using CloudFormation is almost essential.

Deployment pipeline, part 2: build phase

Welcome to the second part of my series on deployment pipelines. If you missed the intro, check out the video where I describe a typical pipeline here. You can find the other parts of this series, by checking out the tag ci-pipeline-series.

After the test phase of the pipeline, once the quality of the code has been checked, we must build a deployable artefact for this version (commit) of the code. In case of AWS, this would be an AMI (Amazon Machine Image), which can then be deployed as a new instance in our environment.

Deployment pipeline, part 1: test phase

Welcome to the first part of my series on deployment pipelines. If you missed the intro, check out the video where I describe a typical pipeline here.

First step of a deployment pipeline, is usually a series of tests. After a commit is made, the code is checked out from the source code repository and tested. Those are usually code style tests and unit tests.