What is OperatorMesh?

OperatorMesh is an AI incident triage tool for SRE and DevOps teams. Paste logs or screenshot any alert to get root cause, confidence scores, and ranked fixes in seconds. No agents, no installs.

Are my logs stored by OperatorMesh?

No. Webhook-triggered analyses are processed in memory and discarded immediately — never written to disk. Dashboard analyses save only the result (root cause, actions), never the raw log payload.

Does OperatorMesh train AI models on my incident data?

No. OperatorMesh uses the Anthropic API under a zero data retention agreement. Your incident data is never used to train AI models.

How accurate is OperatorMesh at finding root causes?

OperatorMesh achieves approximately 87% diagnosis accuracy on common incident patterns (DB connection issues, OOM errors, deploy regressions, K8s errors). Accuracy drops to approximately 62% on complex multi-service cascades. Full benchmarks are available at operatormesh.com/benchmark.html.

What monitoring tools does OperatorMesh integrate with?

OperatorMesh integrates with Slack, PagerDuty, Datadog, Grafana, Sentry, and New Relic via webhooks. Setup takes approximately 5 minutes. No agents or installations required.

Is OperatorMesh free to use?

Yes. OperatorMesh is free to start — 10 analyses per week with a free account. No credit card required. Paid plans start at $19/month for unlimited analyses and Slack/PagerDuty auto-triage.

Does OperatorMesh automatically fix incidents?

No. OperatorMesh is advisory only. It recommends root causes and ranked fixes — humans make all decisions. No automated infrastructure changes are ever made.

LIVE · FREE · NO SIGNUP

Root Cause
in Seconds.

Paste logs or an alert screenshot. Get ranked root causes, confidence scores, and fixes in ~19 seconds.

"Traced a CrashLoopBackOff to a Redis node migration in 22 seconds — correctly ruled out auth and code regression."

— From our own test run · not a customer quote

Free · No signup Logs never stored Works with Datadog

LIVE · FREE · NO SIGNUP · LOGS NEVER STORED

Root Cause
in Seconds.

Paste logs or an alert screenshot. Get ranked root causes, confidence scores, and recommended fixes in ~19 seconds.

▶ Triage Incident Now 🔍 Pre-Mortem Scan

🛡 No signup required. Start analyzing immediately.

When the evidence isn't there, OperatorMesh can say "not enough evidence" — tested against 7 adversarial cases → see the September benchmark

~19s

Analysis time

~87%

Diagnosis accuracy

To start

⚡

Faster Triage

~19 sec

🧠

AI-Powered

Triage engine

🔒

Private & Secure

Logs never stored

✅

Actionable Fixes

Ranked by confidence

⚠️ Redact API keys, tokens, and passwords before pasting — logs aren't stored, but still avoid sending live credentials to any third-party tool.

Free: 3 analyses · Sign up for 90 days free

Ctrl+Enter to analyze

Webhook logs processed in memory, discarded immediately · No training · Advisory only

TRIAGE RESULT ⟳

You've used all 3 free analyses this week.

Create a free account for unlimited analyses for 90 days (then 10/week free) — or upgrade for Slack/PagerDuty auto-triage.

14-day free trial · Cancel anytime

How it works

Alert fires. Root cause in Slack.
Before your team reads the notification.

No agents. No installs. Connect once — works automatically for every alert.

🔔

Alert fires

PagerDuty · Datadog · Grafana

CRITICAL · api-gateway

→

🤖

AI analyzes

Logs · Stack traces · Screenshots

Parsing signals...

Correlating patterns...

Ranking root causes...

→

🎯

Root cause found

Dual confidence scores

Diagnosis 0%

Fix confidence 0%

DB connection pool exhausted — pool_size halved in v2.4.1 deploy

→

💬

In your Slack thread

Before your team reads the alert

OperatorMesh APP

🎯 Root cause identified
DB connection pool exhausted (87% confidence)
→ Rollback v2.4.1 config or increase pool_size

✅ Acknowledge 🔍 Details ⚠️ Escalate

Jake K.

Applied fix, monitoring. Latency normalizing. 👍

~19s Alert to root cause

30-45 min Typical manual triage

~99% Less triage time

⚡ Try it free Connect Slack →

The difference

Your monitoring detects.
We explain.

❌ Without OperatorMesh

1.Alert fires at 2AM

2.Open Datadog, Sentry, Slack

3.Scan logs manually

4.Guess root cause

5.Try fixes one by one

6.30–45 minutes later...

→

✅ With OperatorMesh

1.Alert fires at 2AM

2.Paste logs (or webhook fires)

3.Probable root causes ranked in seconds

4.Confidence score + ranked fixes

5.Back to sleep ✓

Trust & Security

Built for engineers who can't
afford to get it wrong

🔒

Stateless by design

Your raw logs and incident payloads are processed in memory and discarded immediately after analysis. Never written to disk.

🗑

Your data, your control

Webhook-triggered analyses are processed in memory and discarded immediately. Dashboard analyses are saved to your account only — never shared, never sold. Delete any analysis anytime.

🧠

No training on your data

Your logs are never used to train models. Ever. Full stop.

🔌

API-only architecture

No agents. No installations. Secure webhook ingestion only.

👤

Human-in-the-loop

We recommend. You decide. No automated infra changes ever.

🏭

Built for production

Real incident workflows — not demo environments or AI chat.

Integrations

Works with your
existing stack.

Don't replace your tools. Add the explanation layer on top. Connect once — root cause arrives in Slack automatically when any alert fires.

⚡ Set up auto-triage in 5 minutes →

See what it actually finds

Real analyses from our own test runs — synthetic scenarios and real published incidents. Same engine every user gets.

PostgreSQL · Real Published Incident

Tested against a real, publicly documented production postmortem (not written by us) — correctly identified the cloud provider's database version upgrade as the trigger and correctly reasoned that an internal Postgres behavior change was responsible, rather than guessing "connection pool exhaustion." The specific mechanism it proposed differed from the actual confirmed cause — a partial diagnosis, not a full match.

27.9s

vs. 4 days for the real team

Kubernetes · CrashLoopBackOff

Correctly traced a Redis connectivity failure to a StatefulSet node migration — ruled out auth and code regression, pointed straight at PVC/DNS readiness.

21.8s

vs. ~25-40 min manual

92%

root cause confidence

Java · OOMKilled

Pinpointed Arrays.copyOf in the stack trace as the allocation site, correlated it to a specific version's bulk-processing feature, and ruled out a GC misconfiguration.

22.3s

vs. ~2-4 hrs manual

91%

root cause confidence

CoreDNS · Resolution Failure

Connected a configmap change to degraded CoreDNS readiness and a downstream ENOTFOUND — and flagged exactly what evidence would raise fix confidence further.

~20s

vs. manual DNS tracing

91%

root cause confidence

How much can OperatorMesh save your team?

Adjust the numbers below to estimate your team's monthly savings.

Engineers on-call

Incidents per month

Average triage time (minutes)

Hourly engineering cost ($)

Monthly hours saved

—

Monthly cost saved

—

Annual savings

—

Estimate assumes OperatorMesh reduces triage time by ~85%, based on internal benchmark comparisons. Actual results vary by incident complexity.

Root Cause
in Seconds.

Root Cause
in Seconds.

Alert fires. Root cause in Slack.
Before your team reads the notification.

Your monitoring detects.
We explain.

From alert to action in seconds

Built for engineers who can't
afford to get it wrong

Works with your
existing stack.

A solo founder who watched
engineers suffer needlessly

See what it actually finds

How much can OperatorMesh save your team?

Analyze an incident in
under 60 seconds.

Still thinking it over?

Root Causein Seconds.

Root Causein Seconds.

Alert fires. Root cause in Slack.Before your team reads the notification.

Your monitoring detects.We explain.

From alert to action in seconds

Built for engineers who can'tafford to get it wrong

Works with yourexisting stack.

A solo founder who watchedengineers suffer needlessly

See what it actually finds

How much can OperatorMesh save your team?

Analyze an incident inunder 60 seconds.

Still thinking it over?

Root Cause
in Seconds.

Root Cause
in Seconds.

Alert fires. Root cause in Slack.
Before your team reads the notification.

Your monitoring detects.
We explain.

Built for engineers who can't
afford to get it wrong

Works with your
existing stack.

A solo founder who watched
engineers suffer needlessly

Analyze an incident in
under 60 seconds.