Thanks to the latest CI/CD tools and services, software companies can now deliver multiple releases in a week. Over the release process, it's expected that DevOps professionals keep their eyes on the monitoring dashboard and roll-back the deployment on the first suspicion. Since the use of feature flags gets more and more traction, it seems like a good idea to connect those releases and the monitoring tools.
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Connect and monitor feature flag changes in DataDog
A updated version of this blog post is available here.
Nowadays, thanks to modern continuous delivery tools, many software development processes make it easy to deliver multiple releases per week. It is often common for several scheduled releases per week to be released. The usual practice is that during the release process, DevOps guys keep their eyes on the monitoring dashboard, and if they find any anomalies, they roll back the version.
But what happens if someone changes a feature flag's value (release toggles) in the production environment?
Release Toggles allow incomplete and un-tested code paths to be shipped to production as latent code which may never be turned on. https://martinfowler.com/articles/feature-toggles.html
DevOps are notified that a certain threshold has been reached for the production environment and that when they open a related metric they see something similar: