CI/CD monitoring
Closing the feedback loop on the engineering practices that determine whether a team ships well. Not watching pipelines go green.
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Learn
Reference on CI/CD monitoring, DORA metrics, CI/CD cost, pipeline stability, AI-assisted software development, and CI/CD compliance. Each page is standalone, citable, and updated as we learn from running real pipelines across every major provider.
Articles
DORA metrics
Five canonical software-delivery indicators across throughput and stability. Definitions, traps, and how to read them together.
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CI/CD cost
Compute, developer wait time, and waste. Where the invoice lives, where the invisible cost lives, and which dominates.
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Pipeline stability
Healthy, flaky, broken. The classification model, the rerun economics, and how flakiness compounds with team size.
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AI-assisted software development
AI amplifies a team's existing CI/CD practices rather than fixing them. The signals that show whether AI is paying off, and the anti-pattern that hides the answer.
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CI/CD compliance
Turning pipeline activity into structured audit evidence mapped to control IDs. The five families of pipeline-relevant controls, what an evidence row looks like, and the pipeline cuts of ISO 27001, SOC 2, ISO 42001, NIST SSDF, and PCI-DSS.
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CI/CD security
The controls a pipeline enforces on every commit: static analysis, dependency scanning, secret scanning, container scanning, and pinning third-party units to immutable refs. What each control means on each of the six providers, and where the standard advice stops being followable.
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Where to start
If you are new to the field, start with CI/CD monitoring for the framing of CI/CD as a set of feedback loops. Then read DORA metrics for the canonical measurements those loops produce.
If you already know your DORA numbers and want to act on them, CI/CD cost explains why developer wait time dominates the bill, and pipeline stability covers the rerun economics that quietly extend lead time.