Resolve Production Issues with OpsAI-An SRE Agent
Middleware OpsAI - SRE Agent detects issues across APM, RUM, Logs, and Kubernetes, performs root cause analysis, and applies fixes without waking up your on-call engineers.
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Trusted By Leading Companies
Product overview
Engineering teams waste countless hours context-switching and correlating data to troubleshoot production issues. Middleware OpsAI replaces this complex workflow by detecting backend, frontend, and Kubernetes issues in real time. By tracing issues to the exact line of code and automatically opening pull requests with fixes, OpsAI enables 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 it broke, where it happened, 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 Kubernetes pod failures are all managed in one place.
Ingests alerts from Datadog and Grafana
Already using other monitoring tools? OpsAI ingests alerts, investigates issues using their metrics and logs, and provides diagnoses directly inside Middleware.
Ships actual code
When confidence is high, 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 entire codebase and does not 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
Detects errors from APM traces and RUM sessions, identifies the root cause, and opens a pull request with a fix.
Kubernetes debugging and auto-fix
Detect and resolve Kubernetes issues before they impact production workloads. Choose Auto RCA (OpsAI suggests fixes for review) or Auto Fix (OpsAI applies fixes automatically).
Third-party alert ingestion
Ingests alerts from Datadog and Grafana into OpsAI. Runs investigations using their metrics, logs, and traces without migrating anything.
Anomaly detection
AI-powered anomaly detection across applications, infrastructure, and logs. Flags real problems, filters out false positives.
Log pattern analysis
Automatically correlate log anomalies with infrastructure and application events to accelerate root cause analysis.
Why Organizations Trust Middleware
Middleware reduced the time spent debugging and resolving issues by nearly 90%.
What sets their AI apart is that it does not 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%.
Handpicked Resources to Help You Get Started
Introducing Middleware OpsAI: The AI SRE Agent That Resolves Production Issues Before They Reach Your Users
OpsAI vs Resolve AI: A Real-World Performance Comparison for SRE and Agentic Observability
What is AIOps? A Complete Guide to AI-Powered IT Operations
Frequently Asked Questions
Everything you want to know about the product
What is OpsAI - SRE Agent?
OpsAI is an AI-powered SRE agent built into Middleware. It detects production issues, performs root cause analysis, and often generates code fixes 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 application code, OpsAI opens a pull request for your team to review.