CI/CD

CircleCI pipelines and delivery

CircleCI is hosted CI with genuinely good caching and parallelism. For teams that want pipelines to be someone else’s operational problem, it removes the whole build-server workstream.

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Where we use CircleCI

CircleCI is part of the stack on these 2 services. Each page covers how we work, what you get and what it costs to start.

DevOps QA

CircleCI in practice

CircleCI is hosted CI with unusually good caching and test parallelism. On large test suites those two features are where the time goes, and splitting a suite across containers with proper dependency caching regularly turns a long feedback loop into a short one.

The trade is the usual hosted one: no build infrastructure to operate, and per-minute billing that rewards attention. Right-sized resource classes, real caching, and not running the full suite on every draft commit are the three things that keep the invoice sensible.

What we build with CircleCI

Per-commit builds with dependency caching and test splitting, so feedback arrives while the change is still fresh.

Long suites split across containers, turning a coffee-length run into a short one.

Approval-gated deploys to staging and production from the same configuration file.

Is CircleCI right for you?

Ask us

A good fit when

  • Teams that want no build infrastructure to run
  • Large test suites that benefit from parallelism
  • Projects on GitHub or Bitbucket wanting stronger CI than the built-in option
  • Pipelines with approval-gated deploys

Probably not when

  • Builds needing private network or on-premise access
  • Very heavy workloads where self-hosting is cheaper
  • Teams already well served by GitHub Actions

What we run alongside CircleCI

The rest of the setup, and why each piece is there. We keep this list short on purpose — every dependency is something someone has to maintain.

Dependency caching
Where most CI time is won or lost.
Test splitting
Suites divided across containers by timing data rather than by guess.
Contexts
Shared, access-controlled secrets across projects.
Orbs
Reusable configuration packages, so common setups are not rewritten per project.
Approval jobs
A human gate before production deployment.

Why CircleCI

Let’s talk

Nothing to operate

No build servers to patch, scale or debug at the worst possible moment.

Caching that actually helps

Well-designed layer and dependency caching, which is where most CI time is won or lost.

Configuration in the repository

The pipeline is versioned with the code it builds, so a branch can change its own build safely.

What we get called in to fix

Get a second opinion

Caches that never hit

Cache keys built so they change every run, so caching does nothing but cost time.

Oversized resource classes

Large machines chosen once and never revisited against actual usage.

Full suites on every commit

Twenty-minute pipelines on draft branches, which teaches people to skip CI.

Secrets in configuration

Credentials in the config file rather than in a context.

CircleCI or the alternative

The comparisons we are actually asked to make, answered the way we would answer them on a call.

Actions when you are on GitHub and want one fewer vendor. CircleCI for heavier pipelines where its caching and parallelism pay.

CircleCI to avoid operating build infrastructure. Jenkins for private network access and heavy self-hosted volume.

CircleCI supports self-hosted runners, which is a middle path when only some builds need private access.

CircleCI works well with:

GitHubGitHub GitLabGitLab JenkinsJenkins AnsibleAnsible AppiumAppium ArgoCDArgoCD AWSAWS AzureAzure CypressCypress DatadogDatadog DockerDocker

See all technologies we work with

Got an idea? Let’s make it real.

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This could be the first step towards a new and successful collaboration. A one-line idea and a finished spec are both fine — tell us the problem, the deadline you’re working to and what’s in your way.

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Frequently asked questions

Actions when you are already on GitHub and want one fewer vendor. CircleCI for heavier pipelines where its caching and parallelism earn their keep.

Yes — cloud providers, Kubernetes and self-hosted targets, with credentials held as protected contexts.

Right-sized resource classes, aggressive caching, and not running the full suite on every draft commit.

Right-sized resource classes, caching that actually hits, and running the full suite on merge rather than on every draft push.

Yes — cloud providers, Kubernetes and self-hosted targets, with credentials held in access-controlled contexts.