AI-powered incident investigation

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root cause.
Automatically.

When an alarm fires, Whistlrr investigates for you — pulling metrics, logs, traces, and recent deploys into a single AI-generated root cause report. Delivered to Slack before your on-call opens their laptop.

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whistlrr.com / investigation #2847
CRITICAL CloudWatch · 14:37 UTC

ECS CPUUtilization > 90% — payment-service

investigated in
4m 12s

A CPU spike was triggered by database connection pool exhaustion immediately following deployment v2.4.1 at 14:32 UTC. The payment service began retrying failed transactions, compounding CPU load. No hardware fault or external traffic spike detected.

Root causes
DB connection pool limit hit after deploy 91%

v2.4.1 removed connection pooling config. RDS DatabaseConnections peaked at 498/500.

Transaction retry storm amplified CPU 74%

Sentry shows 1,240 payment.process errors in 5 min window, each triggering 3 retries.

Recommended action

Roll back v2.4.1 and restore DATABASE_POOL_SIZE=25 env var. ETA to recovery: ~8 min.

Sources used
CloudWatchSentryGitHubRDS

Example investigation — generated automatically when your alarm fires

Under the hood

Signal from the noise

One alert fires. The AI fans out across your entire stack — pulling correlated signals from every source simultaneously.

CloudWatchDatadogSentryGitHub Actions
Incident Management
PagerDuty · Rootly · Slack · OpsGenie · and more
incident triggered
webhook
Whistlrr AI investigating
ECS CPUUtilization > 90% — payment-svc
Metrics
Errors
Code
Infra
Root cause identified · 94% confidence
findings posted
Incident Management
Root cause report delivered · note added · timeline posted
AI activity
Incident triggered in PagerDuty
Webhook received by Whistlrr
Querying metrics (30 min window)
Scanning Sentry · GitHub · logs
Correlating across sources
Root cause identified
Report posted back to incident
> elapsed: 2m 14s
> sources: 4 / 4

How it works

Three steps. Zero manual investigation.

Whistlrr works while your team sleeps.

01

Alert fires

A CloudWatch alarm breaches, a Datadog monitor triggers, or a webhook fires. Whistlrr receives it instantly — no polling, no delays.

02

AI investigates

The AI agent queries all your connected data sources — metrics, logs, error rates, and recent commits — correlating everything across the incident time window.

03

Root cause delivered

A confidence-scored root cause report lands in your Slack channel — with correlated evidence, a timeline of events, and actionable next steps. Average time: under 5 minutes.

Integrations

Connects to your entire stack

The AI pulls data from everywhere your incidents leave traces — not just one vendor.

AWS CloudWatch
Alarms, metrics, logs
Datadog
Monitors, metrics, logs, traces
Sentry
Errors, exceptions, releases
GitHub
Commits, deploys, PRs

Why Whistlrr

Built for engineering teams, not enterprise procurement

PagerDuty AIOps costs $35+/user/month and takes months to set up. Whistlrr connects in minutes and starts at $13.

5-minute setup

Connect your AWS account with an IAM Role (no long-lived keys), add your Datadog and Sentry tokens, and your first investigation fires automatically.

Cross-vendor correlation

Datadog's AI only looks at Datadog data. Whistlrr correlates across every source — so you find the GitHub deploy that triggered the CloudWatch alarm.

Ask follow-up questions

Every investigation is interactive. Ask "what other services were affected?" or "when did this last happen?" — the AI already has all the context.

Secure by design

AWS access via IAM Roles, not long-lived keys. Cross-account isolation with External IDs. Your data is never used to train models.

MTTR in minutes, not hours

The average Whistlrr investigation completes in under 5 minutes. Your team spends time fixing, not digging through dashboards.

Bring your own API key

Use your own Anthropic API key to run unlimited investigations. Whistlrr's shared key is available as a fallback on all plans.

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Signal from
the Noise.

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