GitHub Actions vs GitLab CI vs Jenkins: picking a CI/CD engine.

Sahil Dubey

CISA · AWS Solutions Architect Professional · updated 21 Aug 2026

The three big engines trade convenience against control. For an AWS shop the choice matters less than most people think — and the two decisions that actually determine whether your pipeline is safe are the same regardless of which one you pick.

The short answer

GitHub Actions if your code is on GitHub and you want the least setup. GitLab CI if you want an integrated platform — SCM, CI, registry, issues — in one place. Jenkins if you need maximum flexibility, must self-host for regulatory reasons, or have legacy pipelines worth keeping.

For greenfield AWS work in 2026, GitHub Actions with OIDC is the default I reach for, and I need a specific reason to deviate.

The real axis: who runs the runners

Feature matrices make these look more different than they are. All three run containers, all three take YAML or something close to it, and all three can deploy to AWS without static credentials.

The genuine difference is who operates the compute and who patches it. GitHub and GitLab will run it for you and bill per minute. Jenkins will not: you own the controller, the agents, the plugin versions and every CVE that lands in them. That is not an argument against Jenkins, it is an argument for being honest about headcount before choosing it.

Side by side

OIDC: stop storing AWS keys in CI

If you take one thing from this page, take this. Storing an AWS_ACCESS_KEY_ID and secret in CI variables is the single most common serious finding I see in pipeline reviews. Those keys are long-lived, they are copied into forks and logs more often than teams believe, and rotating them is a job nobody schedules.

All three engines support OIDC federation instead: the pipeline presents a short-lived token, AWS STS exchanges it for temporary credentials, and no durable secret exists anywhere.

The part people get wrong is the IAM trust policy. It must be conditioned on your specific repository and, ideally, branch or environment. A trust policy that accepts any repository from the provider will happily issue credentials to a stranger’s repository. I have found exactly that in production more than once.

Your pipeline is a supply chain

A third-party action or plugin runs with access to your build environment, which means your secrets. Referencing one by a mutable tag — @v1, @main — means whoever controls it can change what runs in your pipeline without you doing anything.

This is not theoretical. In 2025 a widely used action was compromised and began printing secrets into build logs across a very large number of repositories. Teams pinning to a commit digest were unaffected; teams pinning to a tag were not.

• Pin third-party actions and container images to immutable digests, not tags.
• Restrict which actions or images are allowed at the organisation level.
• Scope secrets to the specific job that needs them, never the whole workflow.
• Treat a CI compromise as a production compromise, because that is what it is.

Self-hosted runners are a security boundary

Self-hosted runners are the usual answer to expensive minutes or private network access, and they are fine — if they are ephemeral. A persistent runner carries state between jobs, so one poisoned build can leave a backdoor for the next one.

Attaching a self-hosted runner to a public repository deserves particular care: depending on configuration, anyone who can open a pull request may be able to execute code on your infrastructure. Run single-use runners, in an isolated account or VPC, with no standing credentials beyond what that job needs.

Security gates worth having

• SAST and dependency scanning on every pull request, blocking merges rather than deploys.
• Container image scanning — Trivy or equivalent — before anything reaches a registry.
• Policy-as-code on infrastructure plans, so an over-permissive IAM policy fails the build. See Terraform vs CloudFormation.
• Required reviews and branch protection, which is also your change-management evidence.

Gates belong at merge, not at deploy. A gate that fires after the change is approved just teaches people to override it.

The compliance dividend

A well-built pipeline is usually the strongest change-management evidence a company has. It shows that every change was reviewed, approved by someone other than the author, tested, and traceable from commit to production — automatically, without anyone maintaining a spreadsheet.

What breaks the control is not the tool. It is the one engineer who deploys by hand during an incident and never records it. Close that path deliberately, with a documented break-glass procedure, and the control holds. More on this in how to pass SOC 2 Type 2.

My take after sixteen years

For greenfield AWS work I default to GitHub Actions with OIDC — least setup, no static keys, and the marketplace is a genuine accelerator provided you pin what you use. GitLab CI is excellent when a team wants one platform end to end, and its self-managed option is the cleanest path when data residency is a hard requirement. I keep Jenkins where there is heavy existing investment or genuinely unusual self-hosting needs, but I would rarely start there now.

Whichever you pick, the value is in OIDC, pinned dependencies, ephemeral runners and gates at merge. Not the logo. Related: ArgoCD vs Flux for the deployment half, and Terraform + EKS + CI/CD if you want it built.

Common questions

Is Jenkins still worth using in 2026?

Yes, in specific situations. Jenkins remains the right answer when you need to self-host for regulatory or network reasons, when you have unusual build hardware, or when you have substantial existing pipeline investment that works. What has changed is that it is rarely the right choice for a greenfield AWS project, because you inherit the plugin ecosystem and its patching burden along with the flexibility.

How do I connect CI/CD to AWS without access keys?

Use OIDC federation. GitHub Actions, GitLab CI and Jenkins can all present a short-lived OIDC token that AWS STS exchanges for temporary credentials, so no long-lived access key ever exists. The critical detail is the IAM trust policy: scope the condition to your specific repository and branch, because a trust policy that accepts any repository from the provider is effectively public.

Which is most secure?

The engine matters far less than the configuration. All three can be run safely and all three can be run catastrophically. The three things that decide it are OIDC instead of static keys, third-party actions and images pinned to immutable digests, and ephemeral rather than persistent runners. Get those right and the choice of engine is close to irrelevant.

Are self-hosted runners safe?

Only if they are ephemeral. A persistent self-hosted runner accumulates state between jobs, so one compromised build can leave something behind for the next. Attaching a self-hosted runner to a public repository is worse: anyone who can open a pull request may be able to run code on your infrastructure. Use single-use runners in an isolated account or VPC.

Why pin actions to a commit SHA instead of a tag?

Because a tag is mutable. Whoever controls the action can repoint v1 at new code, and your pipeline will run it on the next build with your secrets in scope. This is not hypothetical; a widely used action was compromised in 2025 and began leaking secrets into build logs across thousands of repositories. A digest cannot be repointed.

How does CI/CD map to SOC 2 or ISO 27001?

It is usually the primary evidence for change management. Auditors want to see that changes are reviewed, approved by someone other than the author, tested, and traceable from commit to production. A pipeline with branch protection, required reviews and recorded deployments produces that evidence automatically. Manual deployments alongside it are what break the control.

What does each one actually cost?

GitHub Actions and GitLab CI bill for hosted compute minutes, with generous free tiers that most small teams stay inside. Jenkins has no licence cost and bills you in infrastructure plus engineering time, which is the larger number and the one that never appears in a budget. Self-hosted runners on GitHub or GitLab are a middle path when minutes get expensive.

Also relevant: Terraform + EKS + CI/CD · Kubernetes / EKS consulting