GitHub Actions Alternatives: Runners, Platforms, and Engines

Teams usually mean one of three things by "we need an alternative to GitHub Actions". Sometimes the fix is just the runner. Sometimes it's the whole CI platform. There's also a middle path, where the workflows stay put and the engine underneath them changes.

TL;DR

• Change the runners if your problem is speed, cost, or insufficient caching. One label change. Your YAML, your actions, and your repo all stay where they are, and this is where most teams searching for alternatives actually land.
• Change the platform if you need different syntax, different governance, or your repos are moving anyway. GitLab CI/CD, CircleCI, Buildkite, Jenkins, Cursor Origin. Most platform moves mean a rewrite, unless you go through a compatibility layer like Buildkite's GitHub Actions plugin. The hard part is usually every uses: step, not the YAML indentation. It does get you off GitHub's reliability problems, at the price of changing how your team works.
• Change the engine if you depend on GitHub to schedule anything and you're fed up with the uptime. Avrea CI runs the orchestration itself, your workflows come with you, and your jobs run on our runners. It's in closed beta.
• Runner providers can protect you from GitHub-hosted runner outages, but not from GitHub Actions itself failing to schedule work. They also add a dependency on the self-hosted runner connection path. If uptime is the main reason you're switching, look at a platform or engine change, not just faster runners.

The three options at a glance

Most teams reading this end up in the first column. The workflows are rarely the problem. The hardware underneath them usually is.

Change the runners: keep your workflows

A runner provider gives you machines that register themselves as GitHub Actions runners. You change one label and everything else stays.

# Before
runs-on: ubuntu-latest

# After
runs-on: avrea-ubuntu-latest

That is the entire migration for most workflows. What differs between providers isn't the label, it's what each one needs on top of it. Caching is where they diverge, because GitHub's cache backend sits across the network from your job, which is exactly the latency you were trying to remove. Every provider ships its own co-located substitute and they aren't equivalent: some keep actions/cache working untouched, some want you to swap actions in every workflow, and some cache on Linux only. On Avrea, actions/cache@v4 and the language setup-* actions keep working as they are, on Linux, Windows and macOS.

Self-hosting is another option, and we cover it in more detail in our guide to GitHub Actions runners.

Change the platform: leave GitHub Actions

These replace GitHub Actions, so you rewrite your workflows in the new tool's syntax. Each suits a different team.

CircleCI publishes its own migration timelines, which is the most useful number anyone in this category gives you: about five weeks for one complex project, and nine months or more for ten.

What you give up when you leave

Three GitHub-native things have no clean equivalent on another platform, and they're what teams forget to price in.

Marketplace actions. Every uses: step is GitHub Actions specific. GitLab maps them to include and CI/CD components, CircleCI to orbs, Buildkite to plugins, Jenkins to plugins and shared libraries. Each one is a rebuild. A workflow that mostly runs shell commands ports quickly. A workflow assembled from a dozen marketplace actions has to be rebuilt from parts.

GITHUB_TOKEN. GitHub mints a token at the start of every job, scoped to that repository, and expires it when the job ends. On another platform you provision, store, scope, and rotate that credential yourself.

Required status checks. Branch protection gates merges on named checks. An external platform reports back through the commit status API, so every required check has to be rewired and renamed on the protected branch before the new pipeline can gate a merge.

None of this makes a platform migration wrong. It does mean the work concentrates in your uses: steps and your protected branches, which is rarely where teams expect it when they start estimating.

Change the engine: Avrea CI

There's a third option that sits between the other two. Instead of changing where jobs run, or changing everything, you change the thing that decides which jobs exist and when they run, and your jobs move onto our runners at the same time.

Avrea CI keeps your GitHub Actions syntax and runs everything else on Avrea. Workflow orchestration, job scheduling, artifact and cache management, secrets, and execution all move. Your workflow files don't.

What changes when Avrea owns the engine:

• Reliability. You stop depending on GitHub to hand out work, so most GitHub outages stop being your outage. Your repo still lives on GitHub, so a bad enough GitHub day still reaches you. The Actions incidents that cost teams whole afternoons mostly don't.
• Scheduling control. GitHub already has matrices and parallel jobs, so this isn't about fan-out existing. It's about who decides when those jobs actually start. The scheduler is ours, so they start when there's capacity rather than when the queue gets to them.
• Run uncommitted code. Debugging a broken workflow usually means pushing throwaway commits and waiting on each one, because there's no reliable way to test a GitHub Actions workflow locally. Avrea CI runs your working tree, so you get the answer before the commit exists.

Avrea CI is in closed beta. Sign up for updates and we'll tell you when it opens.

What outages actually tell you

"GitHub Actions is down" describes at least three different failures, and they have different answers.

When the control plane fails, a runner swap doesn't help. On 6 August 2026 an internal Actions service that generates jobs saturated during a routine deploy. At peak, 71% of workflow runs hit infrastructure failures, and GitHub's report says customers on both GitHub-hosted and self-hosted runners were affected. If GitHub can't dispatch the job, nobody runs it, and that includes Avrea's runners. Changing the platform or the engine is what removes this dependency, because in both cases something other than GitHub decides when your jobs run.

When GitHub's hosted runner fleet fails, a runner swap does help. Twice in a month, on 9 July and 22 July 2026, a backend service that provisions hosted runners went unhealthy and jobs couldn't acquire a machine. Both reports scope the impact specifically to GitHub-hosted runners. Anything running its own fleet, self-hosted or third-party, never touches that service.

When runner connectivity fails, third-party and self-hosted runners are the ones that break. On 19 July 2026 an expired internal certificate meant self-hosted and larger runners couldn't connect to GitHub for nearly five hours, while jobs on standard and Mac hosted runners ran normally. This is the inverse case, and it's the one nobody markets.

So changing runners removes one class of dependency and adds another. If reliability is the reason you're reading this, that's an argument for changing the platform or the engine, not just the machines.

How to decide

If you're changing runners, benchmark your own heaviest workflow, warm and cold. Vendor benchmarks are run on workloads chosen to make the vendor look good, including ours. Watch startup latency separately from build time, because it's a fixed cost per job that's invisible on a twenty minute build and obvious on a ninety second one. Check where the cache lives before you compare core counts, since on most real workloads that moves wall-clock time more than core speed does, which is the argument we made in CPU benchmarks are only half the story. And check GA status one operating system at a time: plenty of providers are solid on Linux and early on Windows or macOS.

If you're changing platforms, count your uses: steps and your required status checks before you estimate anything. Those two numbers, not the size of your YAML, are what the migration actually costs.

If you're changing the engine, your workflows come with you, so migration effort isn't really the question. The tradeoff is elsewhere: you're deciding whether you want GitHub scheduling your jobs, and you're taking on a dependency that's still in closed beta.

Where Avrea fits today

Avrea replaces GitHub Actions runners. You install the GitHub App and change one label, about five minutes following the setup guide, and nothing else in your setup changes.

Builds run about 3x faster on hardware alone and up to 145x on cache hits. Linux x86 runs on EPYC 4585PX at 5.7GHz on dedicated bare metal, macOS and Linux ARM on Apple M5 Max, and Windows is generally available. Cache is co-located with the runners at 25 GB per repository. You get per-step CPU and memory, searchable logs, and SSH into a live job. Every job runs in a clean ephemeral VM. ISO 27001 certified, SOC 2 Type II attested. Pricing starts at $0.002 per minute, with 3,000 free minutes a month per organization.

PromoRepublic measured 4x faster execution, Focal measured 2x faster Turborepo CI against GitHub Actions plus Vercel Remote Cache, and Syncle cut job times roughly in half. Those are measured customer results on their own workloads, not a universal benchmark.

Where we're the wrong answer today:

• You're not on GitHub Actions. GitLab support is coming, so stay tuned. Bitbucket isn't on the roadmap yet.
• You want off GitHub completely. If the decision is already made and the repos are moving, we're not a fit. We make GitHub Actions faster and we run the engine behind it, but your code still lives on GitHub.
• Compute has to run in your own account. Every Avrea job runs on our hardware. If your compliance rules put build compute inside your own cloud boundary, that rules us out.
• Your jobs are all very short. If your CI is a hundred jobs that each finish inside a minute, per-job startup is a bigger share of your wall clock than core speed, and faster hardware buys you less. That's true of every vendor here, us included.

Start with one workflow. 3,000 free minutes a month, one label to change, and the same label to change back if it doesn't hold up.

Frequently asked questions

What's the actual difference between changing runners, platforms, and the engine?

Runners change where your jobs execute and nothing else, which is one label. Platforms change everything, including your syntax and usually where your code lives. The engine sits in between: your GitHub Actions workflows stay exactly as they are, but scheduling, artifacts, cache, secrets, and execution all move off GitHub.

Which one fixes slow CI fastest?

Changing runners. It's one line, it's reversible, and it's the only option on this page you can test on a single workflow this afternoon. A platform migration is the slowest possible way to buy a speedup, because you rewrite everything before you measure anything.

Will my GitHub Actions YAML work anywhere else?

Not on another platform. GitLab, CircleCI, Buildkite and Jenkins all need a rewrite, and the expensive part is your uses: steps, which have no like-for-like port anywhere. It does work unchanged on a runner alternative, and on Avrea CI.

Do I have to move my repos to change CI?

Sometimes if you're changing platforms. Changing runners or changing the engine both leave your repo exactly where it is.

Does changing runners protect me from GitHub outages?

Partly, and it depends which part of GitHub broke. It helps when GitHub's hosted runner fleet fails, does nothing when the Actions control plane fails, and can hurt when runner connectivity fails. Only moving the platform or the engine removes the dependency.

GitLab CI vs GitHub Actions: what actually differs?

GitLab bundles repos, CI, issues, and registry into one product, and self-managed runners are available on every tier. The costs are that your YAML doesn't transfer, marketplace actions have no like-for-like port, and keeping code on GitHub requires a paid tier and runs a degraded mirror.

How do I trial an alternative on one workflow?

Change the label on one non-critical workflow, run it for a week alongside everything else, and compare. Reverting is the same one-line change.

Runner specifications and product status verified 20 August 2026. This category moves fast, so check each vendor's own page before you commit.