Your on-call knows the alert. Devtract names the cause.
Devtract correlates logs, metrics, and deploys the instant an alert fires, then ranks the likely root cause before the on-call engineer finishes reading the page. Reads from the telemetry you already run. No new agents, no lock-in.
increased p99 latency 340ms, OOM events follow
Used by platform and SRE teams at growing companies
The 3am Problem
The average SRE spends 42 minutes diagnosing before they start fixing.
Core Capabilities
Three things that happen in 90 seconds.
Devtract is not an APM and it is not a replacement for your observability stack. It reads from the telemetry you already run and does the correlation work your engineers currently do manually at 3am.
Correlation Engine
Opens a correlation window the instant an alert fires. Log spikes, metric anomalies, and deploy timestamps are scanned together in under 30 seconds. No manual log grepping, no dashboard switching.
RCA Ranking
Three ranked hypotheses with confidence scores, not 200 events. Statistical evidence determines which change caused the error. The engineer decides what to do. Devtract ranks the causes.
On-Call Copilot
Ask your telemetry a question instead of opening five dashboards. "What changed in auth-service in the last 30 minutes?" gets a factual answer drawn from your own data, scoped to the active incident window.
Correlation Engine
Every signal, one timeline.
When an alert fires, Devtract opens a correlation window across your logs, metric anomalies, and deploy events simultaneously. Instead of switching between Datadog, GitHub, and Slack, you see everything that happened in one ranked timeline.
- Reads from Datadog, Prometheus, CloudWatch, and Grafana
- Correlates deploy events from GitHub Actions, Terraform, and Argo CD
- Correlation window opens automatically on alert trigger
RCA Ranking
Not events. Hypotheses.
Devtract does not just show you what changed. It tells you which change caused the error, ranked by statistical evidence. Each hypothesis shows a confidence score and the signals that drove it, so you can decide to rollback in under a minute.
- Ranked by statistical correlation across signal types
- Confidence score reflects evidence weight, not guesswork
- Recommended action attached to top hypothesis
On-Call Copilot
Query your incident, not your dashboards.
Mid-incident, ask Devtract natural-language questions about your stack. No more switching between five dashboards. Get factual answers drawn directly from your telemetry, scoped to the active incident window.
- Answers grounded in your actual telemetry data
- Incident-scoped context, not a general chatbot
- Works during the incident and in postmortem review
Integrations
Reads from your existing telemetry stack.
Connect via read-only API keys. No agents, no new data pipelines. Devtract reads your telemetry; it does not store or resell it.
10-minute setup. No agents. Reads from your existing telemetry stack.
Simple by Design
How It Works In 3 Steps
Connect Your Telemetry
Add API keys for Datadog, Prometheus, or CloudWatch. Devtract reads your existing telemetry in read-only mode. No agents to install, no new data pipelines. Setup takes under 10 minutes.
Alert Fires, Devtract Correlates
Within 30 seconds of an alert, Devtract opens a correlation window across all signal sources. It identifies overlapping anomaly clusters and maps them to recent deploy events.
On-Call Gets Ranked RCA
Your on-call engineer receives a ranked card in Slack or PagerDuty: top 3 root cause hypotheses, confidence scores, and a recommended action. Resolution starts within 90 seconds, not 42 minutes.
From the On-Call Queue
What SREs say after the first incident.
We went from 55-minute MTTR to under 12 minutes on deploy-related incidents. The ranked hypotheses let the on-call engineer skip straight to the rollback decision. The diagnostic phase basically disappeared.
We had a problem where a single bad deploy was fanning out into six correlated alerts. Devtract caught the single root cause and the rest of the pages stopped firing. That was the moment I understood what it actually does.
The confidence scores are the part I trust most. It shows 91% and tells me why. It shows 34% and I know to dig deeper myself. A tool that is honest about its uncertainty is more useful than one that always sounds sure.
Pricing
Per-service pricing. Not per seat.
Scales with the number of services you monitor, not your headcount. Start free, upgrade when your incidents tell you to.
Next time an alert fires, Devtract answers first.
14-day free trial. No credit card. Works with your existing Datadog or Prometheus setup in 10 minutes.