Compare managed CI/CD (CodePipeline, Azure DevOps, Cloud Build, OCI DevOps) across clouds.
Output will appear here...The comparison table is a static, hand-maintained dataset of feature rows grouped by category (overview, pipeline, deployment, pricing) with free-text search across all fields; it's a reference snapshot, not a live specs feed, verify current free-tier limits and pricing directly with the provider before a CI/CD platform selection decision.
A comparison of managed CI/CD platforms across AWS (CodePipeline/CodeBuild/CodeDeploy), Azure (DevOps Pipelines/GitHub Actions), GCP (Cloud Build/Cloud Deploy), and OCI DevOps, and the free-tier and parallelism defaults differ enough to matter for a growing team: Azure Pipelines' free tier includes 1,800 minutes/month on Microsoft-hosted agents but only 1 free parallel job (additional parallel jobs run roughly $40/month each), while GCP Cloud Build defaults to 30 concurrent builds per project at $0.003/build-minute, a genuinely different scaling cost curve for a team running many concurrent PR builds.
Concurrency limits (Azure's 1 free parallel job vs GCP's default 30 concurrent builds) matter more than headline per-minute pricing for a team with many simultaneous PRs, model actual expected concurrency before comparing on per-minute rate alone.
Deployment strategy support (canary specifically) isn't uniform across all four, verify your target platform actually supports the progressive-delivery pattern your release process depends on before migrating, rather than assuming 'CI/CD platform' implies feature parity on deployment strategies.
OCI DevOps's free tier is a legitimate starting point for small projects, don't default to a heavier paid platform (Azure Standard tier, GCP paid Cloud Deploy) before checking whether the free tier's 5-pipeline ceiling actually fits your current project scope.
Azure's free tier includes only 1 free parallel job on Microsoft-hosted agents; each additional parallel job needed to run more builds concurrently costs roughly $40/month per job. GCP Cloud Build's default 30 concurrent builds per project at $0.003/build-minute means a team running many parallel PR builds scales cost with actual build-minutes consumed rather than a fixed per-parallel-job charge, which can be meaningfully cheaper at high concurrency, cheaper or more expensive depends on your actual build-minute volume versus concurrency needs, so model both against your real usage pattern.
AWS CodeDeploy natively supports rolling, blue/green, and canary; Azure Pipelines supports these via YAML deployment strategies; GCP Cloud Deploy supports canary and custom targets via Skaffold; OCI supports rolling and blue/green but the comparison doesn't show canary as a named native OCI strategy, if canary deployments specifically are required and OCI is the target, verify current support rather than assuming full parity with the other three.
It's a genuinely usable free tier for a small project or a small number of services, not just a time-limited trial, making it a reasonable starting point for a low-budget or early-stage project before evaluating whether a heavier, paid CI/CD platform is actually needed once the project's pipeline count grows past 5.
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