Middleware Observability Platform

What is Middleware Observability Platform?

Middleware is a full-stack observability platform that brings together logs, metrics, traces, and real-user monitoring in one place. Its standout feature is the OpsAI SRE Agent, an AI-powered assistant that automatically detects production issues, finds the root cause, and even opens a pull request with a fix. Whether you're tracking server health, debugging a slow API, or monitoring user experience, Middleware helps you catch problems before they turn into outages — without drowning in data or jumping between tools.

What are the features of Middleware Observability Platform?

• OpsAI SRE Agent

  AI agent that analyzes traces, logs, and real-user data to pinpoint the exact line of code causing an issue and auto-resolve it — often while you're still reading the alert.
• Infrastructure Monitoring

  Monitor servers, cloud instances, and overall infrastructure health in real time.
• APM (Application Performance Monitoring)

  Track app performance, spot slowdowns, and pinpoint bottlenecks.
• Log Monitoring

  Debug faster with AI-powered log insights that surface patterns and errors.
• Real User Monitoring (RUM)

  See exactly what your users experience — session replays, errors, and performance metrics.
• Synthetic Monitoring

  Test APIs and critical workflows to prevent outages before they happen.
• Browser Testing

  Run tests across browsers and devices to catch UI/UX issues early.
• LLM Observability

  Monitor and evaluate your LLM-powered applications for cost, performance, and accuracy.
• Unified Telemetry

  All signals live on a single timeline with automatic correlation by trace ID — no more jumping between dashboards.
• Native OpenTelemetry Support

  Instrument once, keep your data portable, and avoid vendor lock-in.

What are the use cases of Middleware Observability Platform?

• Frontend to Backend Correlation

  When a user reports a slow page, instantly trace the request from their browser to the backend server and find the failing database query.
• Digital Experience Monitoring

  Track real user sessions, error rates, and performance metrics across your web apps to improve UX.
• Log Analysis and Correlation

  Let AI scan millions of log lines and alert you only when something truly needs attention — no noise.
• Endpoint Monitoring

  Keep tabs on servers, containers, and cloud instances with no sampling, so you see everything.
• Kubernetes Monitoring

  Detect pod crashes (like CrashLoopBackOff or ImagePullBackOff) and get automatic diagnostics and fixes.
• AWS / GCP / Azure Monitoring

  Monitor your cloud infrastructure with 450+ out-of-the-box integrations.
• Incident Auto-Resolution

  OpsAI catches memory leaks, slow queries, or error spikes and opens a PR with the fix before your on-call engineer even wakes up.

How to use Middleware Observability Platform?

1. Get started free

   Head to Middleware's website and sign up for a free account.
2. Install the lightweight agent

   One command, one minute — no changes to your application code. Auto-instrumentation works across languages and frameworks.
3. Configure integrations

   Pick from 450+ built-in integrations (Kubernetes, AWS, Azure, GCP, databases, and more) or use OpenTelemetry for custom setups.
4. Use plain English prompts

   Ask OpsAI things like "show me my top 5 slowest endpoints" or "create a dashboard for error rates over time" — no query language needed.
5. Let OpsAI auto-fix

   When an issue is detected, the AI SRE Agent analyzes traces, logs, and RUM data, identifies the root cause, and can automatically open a pull request with the fix.