The DevOps platform
your engineers won't fight
Ship faster with self-healing CI/CD pipelines, real-time observability, and infrastructure automation that just works. No YAML sprawl. No 3am pages.
Stop maintaining pipelines.
Start shipping product.
Replace your patchwork of Jenkins, Argo, Datadog, and Terraform with one platform that handles the boring parts.
Pipelines as plain code
Write build steps in TypeScript or Python — not 800 lines of YAML. Reuse functions, run them locally, debug them like real software.
Self-healing runs
Flaky test? Network blip? Cache miss? Pipemate retries with backoff, isolates the failure, and only pages you when something genuinely broke.
One-click rollback
Bad deploy? Revert in under 60 seconds — code, config, infra, and feature flags together. No more midnight git resets.
Security baked in
SAST, secret scanning, SBOM generation, container CVE checks — all on by default. Compliant with SOC 2, ISO 27001, and HIPAA controls.
Live observability
Logs, metrics, and traces unified per deploy. Find the regression before your customer does.
5-minute onboarding
Connect a Git repo. Pick a stack. We auto-detect your build, write the pipeline, and run your first deploy. No platform team needed.
Pipelines you can actually read
Stop scrolling through 600 lines of indented YAML to find a typo. Define pipelines as TypeScript functions you can run, test, and debug locally — exactly like the rest of your codebase.
- Type-safe pipeline definitions, autocomplete in your IDE
- Run any stage locally with
pipemate run build - Reuse logic across repos via npm/pypi packages
- Git-versioned config — diff and review like normal code
import { defineline, build, deploy } from '@pipemate/sdk';
export default defineline({
name: 'payments-api',
stages: [
build({ runtime: 'node:20', cache: true }),
test({ parallel: 4, retry: 2 }),
scan({ sast: true, secrets: true }),
deploy({
env: 'production',
strategy: 'canary',
rollback: 'auto-on-error',
}),
],
});# 03:14 — error rate spike detected on /checkout
→ diff vs last 7 deploys: 1 changed (payments-api #2,481)
→ rollback decision: confidence 94%
→ pausing canary at 5% traffic
→ traffic restored to deploy #2,480
→ incident closed in 42 seconds
# 03:14 — slack #eng-oncall
@channel auto-rolled back. No human action needed.
Postmortem draft attached.Sleep through your 3am pages
Pipemate watches every deploy and correlates errors, latency, and traffic against the change set. When confidence is high, it rolls back automatically. When it's not, it gives your oncall a full diff before they even open Slack.
- Auto-correlation across logs, traces, and recent deploys
- Canary analysis with statistical significance testing
- Postmortem drafts written for you
- Integrates with PagerDuty, Slack, Linear, Jira