CI/CD Pipeline Failure Triage
Detects failed pipeline runs, surfaces the root-cause step, and proposes the exact config fix before you've finished reading the alert.
Your infra. Your call. Less guessing.
14-day free trial · connect read-only first · cancel before it bills
Pod checkout-api in CrashLoopBackOff — OOMKilled, leak in v2.4.2.
Most 2am pages never needed a human. The few that do are buried under the ones that don't — and that backlog is what erodes on-call morale, drains senior engineering time, and quietly trains teams to ignore their own monitoring.
A transient pod restart self-heals before anyone reads the alert — but someone still got woken to confirm it. The signal that matters drowns in the noise that doesn't.
When most pages are noise, on-call engineers start muting, snoozing, and second-guessing the dashboard. The one real incident lands in a channel nobody believes anymore.
Your most expensive engineers spend their nights paging through logs to reconstruct what already happened, instead of building what comes next.
Ops capability gets bolted to a single provider's runtime and billing, whether or not it fits the stack you actually run.
Cloud Decoded detects the incident, finds the root cause, and proposes a fix — then stops. Nothing touches your infrastructure until a human approves it. The approval gate is a hard step in the flow, not a setting you can quietly switch off.
Pipeline failure, K8s event, IaC drift, cost spike — picked up from the tools you already run.
Not the alert restated — a concrete, reviewable change: the rollback, the command, the config diff.
The fix waits at the gate. Approve it, edit it, or reject it — no action reaches production without a human.
Runs exactly what you approved, then writes a full audit trail — who approved what, and when.
Cloud Decoded ships with five production workflows: CI/CD failure triage, Kubernetes alert response, IaC drift detection, log summarization, and FinOps cost monitoring. Each one detects, triages, and proposes — and waits for your approval before it acts.
Detects failed pipeline runs, surfaces the root-cause step, and proposes the exact config fix before you've finished reading the alert.
Cuts through alert noise to decide whether a K8s event needs action, a watch, or a dismiss — then drafts the remediation command for your approval.
Compares deployed infrastructure against your Terraform / Bicep source of truth and flags every untracked change before it becomes an incident.
Parses multi-service log output during an incident and returns a ranked, human-readable summary of what actually happened — and in what order.
Identifies cloud spend anomalies and idle resources, then produces a prioritized savings recommendation — not just a raw cost report.
See all five workflows handle a live incident — from detection to human approval — in under four minutes.
14-day free trial · connect read-only first · cancel before it bills
Cloud Decoded pricing starts at $299 per month. Flat monthly tiers — no per-incident metering, no per-seat surprises, no annual lock-in required.
For a single team putting its first workflows behind a human gate.
For engineering orgs running all five workflows across multiple services.
For regulated teams that need audit depth, SLAs, and dedicated support.
Agentic ops capability for mid-market engineering teams — without handing your infrastructure, your runtime, or your judgment to a single vendor.
No dependency on a single cloud vendor's runtime or billing. Your ops capability isn't bolted to anyone's platform.
Nothing executes against your infrastructure until a human approves it. The gate is built in, not a toggle.
Azure, AWS, or both. Cloud Decoded plugs into the tooling you already run — no migration, no cloud-first bias.
14-day free trial · connect read-only first · cancel before it bills
No. Cloud Decoded runs on top of the cloud providers you already use — Azure, AWS, or both — with no migration and no runtime dependency on any single vendor. It connects to your existing CI/CD, Kubernetes, and infrastructure tooling rather than replacing it.
No. No proposed fix executes against your infrastructure until a human approves it. Detection, triage, and proposal are automated, but the action itself sits at a hard approval gate that can't be silently disabled. You can approve, edit, or reject every fix.
You reject it, and nothing happens to your infrastructure — because no fix executes before a human approves it. Every proposal shows the exact change and a diff before you decide, so a wrong suggestion is caught at review, not in production. Rejected proposals are logged alongside approved ones for a full audit trail.
Cloud Decoded has no runtime dependency on a single cloud vendor and no cloud-first bias — it works across Azure and AWS instead of locking you into one provider's ecosystem. Every action passes through a human approval gate by design, rather than acting autonomously. It's built specifically for mid-market engineering teams who want agentic ops without vendor lock-in.
Onboarding starts read-only: you connect Cloud Decoded to your existing CI/CD, Kubernetes, and infrastructure tools, and it begins triaging incidents and proposing fixes without permission to execute. Once you trust the proposals, you enable the approval gate so fixes can be applied with one click. Most teams are reviewing real proposed fixes within the first day.
Yes. Cloud Decoded connects read-only by default and can't execute any change to production until a human approves it. Every proposed and approved action is recorded in a full audit trail, and access is scoped with SSO and role-based controls. You decide what it can touch, and nothing happens at 2am without a person in the loop.