Turbocache

Stop watching progress bars. Hook Turbocache into your CI and reclaim build minutes. Start by adding the Turbocache action/step to your GitHub Actions, GitLab CI, Jenkins, or CircleCI workflows. Provide the endpoint and token, then run your normal build: npm ci && npm run build, gradle assemble, mvn package, cargo build, bazel build //..., or docker buildx build. Turbocache fingerprints inputs (lockfiles, toolchains, env vars) and stores outputs in a shared, content-addressable cache. On the next job—no matter the runner or region—tasks that match those fingerprints are restored instantly. Use branch/PR scoping so review builds pull from main without polluting release artifacts. Enable matrix-wide sharing so each shard benefits from work done elsewhere in the job. First run warms the cache; subsequent runs hit it. Check the Turbocache dashboard to confirm hit rate and time saved before merging.

For day-to-day development, point your local tools at the same cache. Developers run the same commands and get back restored artifacts, test snapshots, and compiled outputs that CI already produced. Pre-commit hooks can call the CLI to fetch targets touched by a change, keeping laptops quiet and fast. In monorepos, only affected packages rebuild; unchanged workspaces resolve from cache. If a dependency or compiler version changes, keys roll automatically so you never pull stale results. Need to force a rebuild? Pin or purge a scope with turbocache purge --scope=service-a or set a short TTL on experimental branches. Promote a good cache from staging to main with one command to speed up the next release train. When jobs run in ephemeral containers, Turbocache makes them feel stateful—no warmup needed for downloads, toolchains, or Docker layers.

Operate at scale with guardrails and visibility. Use role-based access to partition caches by team or environment, and encryption protects data in transit and at rest. The analytics view surfaces hit/miss trends, top time savers, slowest targets, and storage growth; export metrics to Datadog or Prometheus for SLOs. Schedule nightly prewarming (e.g., install dependencies, compile hot targets) so the first developer in the morning gets instant results. Set budgets and alerts when cache size or egress crosses thresholds. Integrate with deployment stages to reuse built artifacts across promote jobs, cutting duplicate work in canary and prod. If a runner can’t reach the service, automatic fallback lets the build proceed, and once connectivity returns, results are uploaded to repopulate the cache. With these workflows, teams trim minutes from every commit, keep PRs moving, and turn release pipelines from queues into a steady flow.