Your Services Are Changing Faster Than You Can Track
Not another monitoring tool — the change-tracking layer that tells you why your monitoring alerts fired.
You run 10, 50, maybe 200 services. Any of them can deploy, roll back, load data, or change config at any moment. When something breaks, you're hunting across CI dashboards, monitoring tools, and Slack threads. OpsTrails gives you one queryable timeline across all of them — so you see what changed, not just what's running.
1,000 events/month free. 5 minutes per service, one API call. See how it works ↓
“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
The Multi-Service Visibility Problem
The more services you run, the harder it is to answer the simplest question during an incident: what changed? Each service has its own pipeline, its own dashboard, its own deploy log. Piecing the picture together is manual, slow, and error-prone.
N×N
Services × dashboards
Every service has its own CI/CD pipeline, monitoring dashboard, and deploy log. Visibility is fragmented across tools and teams.
≠
Version snapshots miss the story
Knowing what's deployed NOW doesn't tell you what changed 20 minutes ago, what rolled back, or what cascaded across services.
80%
of MTTR is detective work
Cross-referencing timestamps across monitoring tools, CI systems, and chat channels is where most incident response time goes.
Up and Running in 5 Minutes
One API call per pipeline. No agents to install, no infrastructure to manage.
Record changes from every pipeline
Add one API call to each service's CI/CD pipeline. Every deployment, rollback, data load, and config change lands on the timeline automatically.
Ask what changed — in plain English
Query the timeline via your AI assistant (MCP), the OpsTrails dashboard, or the API. Natural language or structured filters — your choice.
See the impact instantly
Before/after metrics are correlated automatically for every event. Root cause identification in seconds, not hours.
A Queryable Timeline, Not a Static Version Map
Most tools tell you what version is deployed right now. That's a snapshot — useful, but incomplete. OpsTrails records every change as it happens — deployments, rollbacks, data loads, config changes — with timestamps, sources, and context. You can query this timeline to see the dynamics: what changed in the last hour, what happened before the error spike, which services changed in sequence, and what the blast radius was.
Temporal queries
"What changed in production in the last 2 hours?" — not "What's deployed now?" Query by time window, service, environment, or event type to reconstruct exactly what happened and when.
Learn about the 80% problem →Cross-service correlation
See all changes across all services on one timeline. Spot cascading deployments, identify which service changed first, and trace the chain of events that led to the incident.
Deployment tracking pattern →Before/after impact analysis
Connect Datadog, Sentry, GA4, or New Relic and OpsTrails automatically compares metrics before and after each event. See exactly how each deployment affected error rates, latency, and availability.
Analytics integration guide →AI-native querying via MCP
Ask Claude, GitHub Copilot, or Cursor in natural language. "What changed across our payment services this week?" — answered in seconds, with full context and metric correlations.
MCP deployment tracking →See It in Action
INCIDENT TIMELINE — FRIDAY 14:32
14:32 — payment-service deployed v2.4.1 to production
Source: GitHub Actions · Subject: production
14:38 — Sentry error rate spikes from 0.12% to 2.41%
OpsTrails auto-correlates: before 0.12% → after 2.41%
14:41 — payment-service rolled back to v2.4.0
Error rate returns to 0.14% · Total incident time: 9 minutes
Deploy, spike, rollback — on one screen, in seconds. No dashboard switching. No Slack threads. No “who deployed what?”
Unified timeline across all services
Every deployment, rollback, release, data load, and incident from every team and service in one place.
AI-powered investigation via MCP
Ask your AI assistant what changed across any service, environment, or time window. Works with Claude, Copilot, Cursor.
Automatic impact metrics
Connect Datadog, Sentry, GA4, or New Relic. Before/after metrics around every event, automatically.
Works with any CI/CD pipeline
GitHub Actions, GitLab CI, Jenkins, Bitbucket, HTTP API, SDK, CLI. 5 minutes per service.
Operational guardrails
Deployment policies and change freeze windows catch violations automatically. Notified when someone breaks a rule.
Not Just Microservices
OpsTrails works for any architecture. Microservices, monoliths with background workers, serverless functions, data pipelines, scheduled jobs, even manual operations. If it changes your system, it belongs on the timeline.
Already using monitoring tools? OpsTrails complements your existing stack. See how OpsTrails works alongside Datadog, New Relic, or PagerDuty.
Related Reading
Start Tracking Changes Across All Your Services
Free tier includes 1,000 events/month and 100 MCP calls. No credit card required. Add your first service in under 5 minutes.