CI/CD for High-Stakes Deployments: The Maldonite Pipeline
Maldonite EngineeringApril 18, 20268 min read0 views0 likespublished
How we ship code to production 10 times a day without fear, using blue-green deployments and canary releases.
Shipping code should be a non-event. If your team feels anxiety every time they hit the 'Deploy' button, your process is broken. At Maldonite, we've engineered a 'Zero-Fear' CI/CD pipeline that allows us to ship high-stakes updates to production multiple times a day. It starts with 'Feature Flags.' By decoupling deployment from release, we can push code to production while keeping the feature hidden. This allows us to test in the real environment with a small group of users before a full rollout. Our pipeline, built on GitHub Actions and AWS CodePipeline, includes mandatory 'Linting,' 'Type-Checking,' and 'End-to-End Testing' using Playwright. No code reaches production without passing a rigorous suite of automated checks. For the deployment itself, we use 'Blue-Green' strategies. We spin up a new version of the application (Green) alongside the current one (Blue). Only after the Green version passes health checks do we switch the traffic over. If anything goes wrong, we can revert the traffic back to Blue in milliseconds. For even more sensitive updates, we use 'Canary Releases,' where only 5% of users see the new version initially. We monitor error rates and performance metrics in real-time using Sentry and Datadog. If we see a spike in 500 errors, the pipeline automatically aborts the rollout. We also implement 'Database Migration Safety' by ensuring all schema changes are additive and backward-compatible. This level of automation allows our engineers to focus on solving business problems rather than managing servers. At Maldonite, we believe that speed is a byproduct of safety. By building a pipeline that prevents errors, we enable our clients to innovate faster than their competitors. This is the gold standard for modern software delivery.
Tags
#CI/CD#AWS#Automation
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