AI incident detection that runs on your own infrastructure.
SerOps correlates your logs, metrics, deployments, and code changes to pinpoint the root cause of production incidents — in seconds, not hours. Ship it in your own VPC in three minutes. Keep every byte of your data.
Or install it yourself:
git clone https://github.com/serops/serops cd serops/deploy/quick-start docker compose up -d
No signup. No credit card. Your data never leaves your machine.
checkout-service coinciding with memory pressure.Commit
a1b2c3d introduced an N+1 query loop in PaymentGateway.py.The Problem Is Getting Worse
Modern infrastructure generates more noise than signal. Teams need a smarter approach.
Alert Fatigue
Teams receive thousands of alerts daily. 90% are noise. Engineers become desensitized, and real incidents get lost in the flood.
AI Cost Explosion
Running AI on every log batch burns tokens fast. Most batches are uneventful. You need intelligent filtering before AI sees your data.
Slow Root Cause
Average MTTR is still measured in hours. Engineers spend more time searching across tools than actually fixing the problem.
Deployment Correlation, Not Just Timestamps
Traditional tools tell you what broke. SerOps tells you which deployment caused it.
Traditional Monitoring
- Symptom Detection
Alerts when errors occur. Manual investigation required.
- Correlation by Commit Time
"Error at 10:00, commit at 9:55." Misses delayed deploys.
The SerOps Way
- Semantic Root Cause Analysis
AI reads the stack trace and understands the error logic.
- Correlation by Deployment
"Error started when commit
a1b2creached Production at 10:00."
What You Get on Day One
Every feature listed below ships in the open-source release. No paywall, no upgrade prompt, no lite tier.
Deployment-Linked
We track when code reaches Production—not just when it was committed. 'Error started when commit 4a2b9 deployed at 10:00.'
Smart Deduplication
20+ error classes (CONNECTION_REFUSED, MODULE_NOT_FOUND, etc.) with semantic targets. No more 1,000 alerts for the same bug.
Redaction By Default
Emails, IPs, API keys—detected and masked before AI sees them. Audit trail included.
See the Product in Action
Real screenshots from the current release. What you see here is what you self-host.
Dashboard showing real-time metrics
System Health at a Glance
The dashboard shows your system health score, MTTR (Mean Time to Resolution), active AI insights, and critical alerts. Everything updates in real-time.
- Health score with uptime trend
- MTTR tracking per project
- AI insights count and critical alerts
AI Finds the Root Cause
When an issue occurs, the AI analyzes logs, correlates with recent deployments, and identifies the exact commit and code change that caused the problem—with a recommended fix.
- Issue context with severity rating
- Root cause linked to specific commit
- Recommended action with code fix
Service Health Grid
See the health status of all your services at a glance. Color-coded status (healthy, degraded, critical) with 7-day trend charts for each service.
- Per-service health scoring
- 7-day trend visualization
- Drill-down to service details
Issues & Smart Triage
All issues in one place with severity-based prioritization. SerOps groups individual errors into "Issues" so you don't get 1,000 alerts for one bug.
- Critical / Warning / Resolved filters
- 20+ error classes for smart grouping
- Click to see AI analysis for any issue
Your data. Your infrastructure. Your keys.
SerOps runs in your VPC. Log queries hit providers you own with credentials you supply. AI calls go to whichever provider you choose — with your key, billed to you.
Privacy Shield
API keys, passwords, and PII are automatically redacted before sending context to any LLM. Audit trail included.
Model Agnostic
Bring your own API keys. Switch between AI providers to optimize for cost or reasoning capability.
Integrations Ecosystem
Bring the observability and delivery stack you already run. SerOps sits on top of all of it — 20 providers covering ~90% of the enterprise market.
20 providers, one query layer
Whatever your stack — Splunk, Elastic, Loki, Prometheus, Datadog, GCP, Azure, GitHub, GitLab, Jenkins — SerOps has an adapter. Point it at the systems you already trust; no data migration, no lock-in.
- Logs: Elasticsearch · OpenSearch · Grafana Loki · Splunk · Datadog · AWS CloudWatch · Google Cloud · Azure
- Metrics: Prometheus · VictoriaMetrics · Grafana Mimir · Datadog · CloudWatch · Google Cloud · Azure
- SCM + CI/CD: GitLab · GitHub · Bitbucket · Azure DevOps · Jenkins
Plug & Play
Adding a new integration is as simple as dropping in a token. We auto-detect your repositories and start correlating data immediately.
Frequently Asked Questions
Try it now, or self-host in three minutes
See SerOps run against a fully populated demo organisation, or clone the repo and have it running on your own machine before this page finishes loading in another tab.
What ships in the open-source release
- ✓Every feature — no paid tier, no lite mode
- ✓All 20 integrations (~90% of the enterprise market)
- ✓Unlimited users, projects, services, batches
- ✓Deploy anywhere: laptop, VPC, on-prem, air-gapped
What you don't need
- •No signup, no email, no credit card
- •No data leaves your infrastructure
- •No lock-in — AGPL-3.0, fork it any time
- •No vendor calls, no sales cycles
No signup. No credit card. Your data never leaves your machine.