Every Deployment. Every Rollback. Every Change — On One Timeline.
Stop piecing together deploy history from CI logs, Slack threads, and memory. OpsTrails records every change automatically and makes it queryable — by your team or your AI assistant.
1,000 events/month free. 5 minutes to integrate, one API call per pipeline. See how it works ↓
Plugs Into Your Existing Pipeline in 5 Minutes
One API call per pipeline. No agents to install, no infrastructure changes. OpsTrails works with whatever you already use.
GitHub Actions
Add one step to your workflow YAML.
GitLab CI
One job in your .gitlab-ci.yml.
Bitbucket Pipelines
One pipe in your bitbucket-pipelines.yml.
Jenkins
One POST in your Jenkinsfile.
HTTP API
Works with any tool that can make an HTTP call.
TypeScript SDK
Type-safe client for Node.js and Deno.
CLI
Record events from any script or terminal.
“What used to be a 45-minute investigation is now 10 seconds. Our MTTR dropped 60% in the first month.”
Sarah Chen
SRE Lead
“The MCP integration is a game-changer — engineers just ask Claude 'what changed?' and get the answer. No new dashboard to learn.”
Marcus Rivera
Platform Engineering Manager
“We connected OpsTrails on a Friday and caught configuration drift that same weekend. The 5-minute setup claim is real.”
Anika Patel
VP of Engineering
Your Deployment History, Queryable and Complete
Every deployment, rollback, release, and data load — with timestamps, sources, versions, and environment context.
DEPLOYMENT TIMELINE — TODAY
09:15 — api-gateway deployed v3.2.0 to staging
Source: GitHub Actions
10:30 — api-gateway deployed v3.2.0 to production
Source: GitHub Actions · Promoted from staging
11:45 — user-service deployed v1.8.4 to production
Source: GitLab CI
14:32 — payment-service deployed v2.4.1 to production
Source: GitHub Actions
14:38 — payment-service error rate spike — before: 0.12%, after: 2.41%
Metric: Sentry error_rate · Auto-correlated
14:41 — payment-service rolled back to v2.4.0
Error rate returned to 0.14% · Incident duration: 9 min
Every event searchable by service, environment, time window, or version. Query with AI via MCP — or use the dashboard and API.
Track the Metrics That Matter — Automatically
OpsTrails calculates DORA metrics from your deployment data. No manual tagging, no spreadsheets, no custom dashboards.
Deployment Frequency
How often your team ships to production. Track trends across services and teams. Elite teams deploy on demand, multiple times per day.
Change Failure Rate
What percentage of deployments cause incidents or require rollbacks. Elite teams achieve 0–15%, low performers sit at 45–60%.
Mean Time to Recovery
How fast you recover when a deployment goes wrong. With OpsTrails, root cause identification drops from hours to seconds.
Lead Time for Changes
From commit to production. Understand where bottlenecks hide in your delivery pipeline and measure improvement over time.
Know where your team stands. Measure improvement over time. Read about DORA metrics →
See the Impact of Every Deployment
Connect your monitoring tools and OpsTrails automatically compares metrics before and after each deployment. See exactly how every release affected error rates, latency, and availability — without manual correlation.
See how OpsTrails works alongside Datadog, New Relic, or PagerDuty.
Ask Your AI Assistant, Not Your Team
OpsTrails exposes your deployment timeline through the Model Context Protocol (MCP). Any compatible AI assistant can query your deployment history in natural language.
$ “What was deployed to production today?”
3 deployments today: api-gateway v3.2.0 at 10:30, user-service v1.8.4 at 11:45, and payment-service v2.4.1 at 14:32 (rolled back to v2.4.0 at 14:41 due to error rate spike).
$ “Which service was last rolled back and why?”
payment-service was rolled back from v2.4.1 to v2.4.0 at 14:41 today. Sentry error_rate went from 0.12% to 2.41% after the deployment. Error rate returned to 0.14% after rollback.
$ “Show me all deployments with error rate increases this week”
Found 1 deployment with error rate increase: payment-service v2.4.1 on Friday — error_rate went from 0.12% to 2.41% (+1,908%). This deployment was rolled back within 9 minutes.
Related Reading
Start Tracking Every Deployment Today
Free tier includes 1,000 events/month, 100 MCP calls, and built-in DORA metrics. No credit card required. Add your first pipeline in under 5 minutes.