One platform. Four capability modules. Ship in 9 minutes.
Yeinz replaces the six disconnected tools your delivery pipeline is held together with — a single binary, one source of truth, deployment cycles that used to take 47 minutes now finish before standup ends.
What ships in the box.
No bolt-ons. No marketplace. Every Yeinz deployment ships with the same four modules wired into a shared event graph — pick which surfaces you turn on, drop the rest.
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01
CI/CD pipeline runner
Hermetic build cache, parallelized test fan-out, and a deploy stage that pushes to four regions in under nine minutes. Single binary, 38MB.
- YAML or TypeScript pipeline definitions
- Hermetic cache hit-rate ~84% median
- Native progressive delivery (canary, blue/green, feature-flagged)
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02
Unified observability
Traces, logs, and metrics on the same timeline as your deploys — no agent zoo, no second vendor to reconcile IDs with. Sample retention defaults are sane.
- OTLP-native ingest, no proprietary SDK required
- Auto-correlated deploy markers on every chart
- Tail-sampling that keeps errors, drops the noise
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03
Incident response & on-call
Pages, escalation policies, and a war-room surface that joins the relevant deploy, trace, and runbook the second a page fires. No tab-switching.
- Schedule imports from PagerDuty / Opsgenie
- One-click roll-back straight from the incident page
- Postmortem draft seeded from real timeline data
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04
AI incident summarization
The first CI/CD platform with native on-call summarization — used by 1,800+ teams. Reads your logs, traces, deploys, and runbooks, then writes the postmortem your on-call would have written at 3am.
- Drafts executive summary, timeline, and root cause
- Grounded in your data — no fabricated citations
- SOC 2 Type II scoped: no customer data used for training
47 minutes → 9 minutes. Here is what actually changed.
The drop isn’t from faster hardware or more parallelism alone. It comes from collapsing the four hand-offs between CI, artifact storage, deploy orchestration, and verification into a single directed graph. Below is a real timeline from a customer rolling a service to four regions.
The receipts your security review will ask for.
SOC 2 Type II
Audited annually. Report available under NDA from the trust center.
ISO 27001
Certified information security management across the platform and org.
Platform uptime
Trailing 12 months. Live status at status.yeinz.net — no marketing edits.
G2 rating
Across 612 verified reviews from engineering teams in production.
Traces, logs, and metrics on the same timeline as the deploy that broke them.
Every Yeinz module writes to one shared event graph. So when a deploy ships and latency ticks up at 00:09:14, the chart, the trace, the log line, and the rollback button are already on the same screen — no cross-tool pivoting, no copy-pasting trace IDs.
- OTLP ingest — bring your existing instrumentation, drop the second agent.
- Auto-instrumented deploy markers on every chart, every panel, every alert.
- Tail sampling by default — keep errors and slow traces, drop the healthy 95%.
- One query language across logs, metrics, and traces. No DSL hopping.
The postmortem your on-call would have written at 3am. Already drafted.
Used by 1,800+ on-call teams. Grounded in your logs, traces, deploys, and runbooks. Drafts the executive summary, the timeline, and a defensible root cause before you finish your coffee.
Reads the room, not the marketing page.
Summarization runs against the actual incident graph: deploy markers, error spikes, related traces, recent runbook revisions. It cites the artifacts it pulled from — no invented root causes, no hallucinated metric values.
- Draft lands in the incident channel within ~40s of the page firing
- Every claim links to the trace / log / deploy it came from
- On-call keeps final say — drafts are never auto-published
Summary. p95 latency on api-gateway rose from 152ms to 214ms at 00:09:14 UTC, immediately following deploy a3f9c2. Auto-rollback at 00:11:02 restored baseline. No customer-facing impact.
Root cause (likely). New connection-pool sizing in a3f9c2 increased pool warm-up latency. See trace t-9af2 and runbook §pool-sizing.
Timeline.
- 00:09:14 — deploy a3f9c2 shipped to prod (4 regions)
- 00:09:21 — p95 alert fires, page routed to @maria
- 00:10:34 — synthetics confirm regression tied to deploy
- 00:11:02 — rollback to a3e8b1 · SLO green
Trained on your stack, scoped to your tenancy.
Models are fine-tuned against your runbook history and deploy metadata. Customer telemetry is never shared across tenants and is never used for foundation-model training. SOC 2 Type II scoped, with the data-flow diagram in the trust center.
- Per-tenant model context, isolated at inference
- Runbooks are read-only inputs — never written back
- Audit log of every summarization, exportable as JSON
Closes the loop on every page.
Summarization doesn’t end at the draft. When the incident closes, Yeinz turns the draft into a structured postmortem in your repo, opens the follow-up tickets, and schedules the review — same artifacts your team would have written by hand, in a tenth of the time.
- Postmortem PR opened against
docs/postmortems/ - Action items become tickets with owners from the participants list
- Review meeting auto-scheduled with the responding engineers
See the four modules wired into one event graph.
30 minutes. A working session against your real pipeline — bring a repo, leave with a deploy.
Book a 30-minute demo