Creating robust, manageable, and reusable functionality is a big part of my job as a CI/CD engineer. Recently, I wrote about managing reusable pipeline configuration by adopting and implementing pipeline variables within pipeline configuration files. As I showed in that tutorial, pipeline variables and orbs have added some flexibility to this process, but they are still a bit limited.
With the new release of dynamic config via setup workflows, CircleCI customers can now use jobs and workflows, not only to execute work but to determine the work they want to run. We built dynamic config because we know our users want more dynamism in the CircleCI build process. Historically, our platform has been very deterministic: the config is pre-set in a file based on the revision for a given pipeline.
No one likes giving their weekends up to fix release issues. Developers and operations teams are traditionally hesitant to make changes or deploy applications on a Friday, in case something goes wrong and they have to spend their weekend making emergency fixes. Or worse, trying to roll back changes that were made. However, with a strong set of practices and a reliable deployment pipeline, there should be no reason why a deployment cannot happen anytime — even on a Friday afternoon.
To learn more about continuous integration, visit: https://circleci.com/continuous-integration/
GitOps is growing in popularity. You’ve probably seen it mentioned on Reddit or dev.to. But what the heck is GitOps? Broadly speaking, GitOps takes the principles of Git and CI-powered workflows favored by software developers — commonly used to automate the process of building, testing and deploying software — and applies them to other business processes.
At CircleCI, we care about security - in 2018, we became the first CI/CD tool to meet the rigorous security and privacy standards required by government agencies to get FedRAMP authorized. Now, CircleCI is SOC 2 certified, adding another industry-recognized security accreditation.
YAML is a digestible data serialization language that is often utilized to create configuration files and works in concurrence with any programming language. YAML is a data serialization language designed for human interaction. It’s a strict superset of JSON, another data serialization language. But because it’s a strict superset, it can do everything that JSON can and more.
