Resolve Production Issues with OpsAI-An SRE Agent
Middleware OpsAI SRE Agent detects issues across APM, RUM, Logs, and Kubernetes, runs root cause analysis, and applies a fix without waking up your on-call engineer.
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Trusted By Leading Companies
Product overview
Engineering teams waste countless hours on manual context switching and data correlation to troubleshoot production issues. Middleware OpsAI SRE Agent replaces this complex workflow by detecting backend, frontend, and Kubernetes errors as they happen. By tracing issues to the exact line of code and automatically opening a pull request with the fix, it handles end-to-end resolution so your team can focus on shipping features instead of fighting fires.
Why OpsAI — an SRE agent?
Traditional monitoring tells you something broke. OpsAI tells you why, where, and how to fix it, then fixes it for you.
Goes beyond alerting
OpsAI takes the alert, pulls in stack traces, logs, error metadata, and your source code through a secure GitHub MCP connection, then generates a targeted fix.
Works across your entire stack
Backend errors from APM, frontend crashes from RUM, and pod failures from Kubernetes are all covered in one place
Ingests alerts from Datadog and Grafana
Already using other monitoring tools? OpsAI pulls in their alerts, runs investigations using their metrics and logs, and gives you a diagnosis inside Middleware.
Ships actual code
When confident, OpsAI opens a pull request with a clean diff. For Kubernetes, it can apply fixes directly with zero intervention.
Respects your privacy
OpsAI reads only the files related to a specific error via GitHub MCP. It never scans your full codebase and doesn't store your source code.
From detection to resolution — see Middleware in action
How It Works
From Incident to Fix — Without Human Intervention
What OpsAI Handles
Automated error fixing
Picks up errors from APM traces and RUM sessions, identifies the root cause, and opens a pull request with the fix.
Kubernetes debugging and auto-fix
Detects pod crashes, memory leaks, and misconfigurations. Choose Auto RCA (OpsAI suggests you apply) or Auto Fix (OpsAI implements directly).
Third-party alert ingestion
Brings alerts from Datadog and Grafana into OpsAI. Runs investigations using their metrics, logs, and traces without migrating anything.
Anomaly detection
AI-powered detection across your application, infrastructure, and logs. Flags real problems, filters out false positives.
Log pattern analysis
Scans logs for recurring patterns and correlates them with application and infrastructure events for faster debugging.
Why Organization Trust Middleware
Middleware resolved time spend on debugging and resolving issues by nearly 90%”
What sets their AI apart is that it doesn't stop at detecting issues. It actually helps fix problems in production, and for engineering teams, that's been a real game changer. At Corgi, we rely on Middleware to monitor our entire infrastructure and application stack.
Middleware has played a very good role in transforming our observability and application performance. For instance, we reduced our total observability costs by 50%.
Frequently Asked Questions
Everything you want to know about the product
What is OpsAI?
An AI-powered SRE agent built into Middleware. It detects production issues, runs root cause analysis, and generates code fixes often without human intervention.
What languages does it support?
All major languages — Java, Node.js, Python, Go, and Next.js.
How do I enable it?
For Kubernetes, install the Kube Agent with opsai.enabled=true. For app errors, install the APM/RUM agents and connect your code repo. OpsAI starts working automatically.
Can it work with Datadog or Grafana?
Yes. OpsAI ingests alerts from both, pulls in their metrics, logs, and traces, and runs investigations inside Middleware.
What access does it need?
OpsAI connects to your repo via GitHub MCP. It only reads files related to a specific error never your full codebase. Nothing is stored.
Does it auto-fix without review?
For Kubernetes, yes. Auto Fix applies changes directly. For the application code, it opens a PR for your team to review.