Middleware

AI-powered observability that detects and fixes production issues automatically

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Added Jul 2026

middleware.io

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What is Middleware?

Middleware is a full-stack observability platform that ingests logs, metrics, and traces without sampling across any language, framework, and cloud. It unifies all telemetry data on a single timeline with automatic trace ID correlation and features OpsAI, an AI SRE Agent that detects production issues, identifies root causes, and automatically opens pull requests with fixes. Designed for engineering teams that need rapid issue resolution without vendor lock-in.

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Key Features of Middleware

AI SRE Agent (OpsAI) for automatic issue detection and resolution
Full-stack observability (Logs, Infrastructure, APM, RUM, Synthetic)
No sampling required for telemetry ingestion
One-command lightweight agent installation
Unified telemetry data on single timeline
Automatic trace ID correlation
AI prompts for custom dashboards without query language
LLM Observability
Browser Testing
450+ integrations

Who Should Use Middleware?

Monitor production systems and automatically resolve issues for engineering teams

Reduce debugging time for application performance monitoring

Correlate traces, logs, metrics, and frontend sessions for faster root cause analysis

Enable AI-driven incident response and pull request generation

Monitor infrastructure and application stack at scale

Middleware: Pros & Cons

✓Pros

Reduced debugging and issue resolution time by nearly 90%
Automatic root cause analysis without guessing
Automatic pull request generation with fixes
50% reduction in observability costs possible
No vendor lock-in with 100% cost control
Supports any language, framework, and cloud
No application code changes required
Petabyte-scale capability
450+ out-of-the-box integrations
AI prompts simplify dashboard creation

Frequently Asked Questions about Middleware

What is OpsAI and how does it work?

OpsAI is an AI SRE Agent that automatically detects production issues by analyzing data from Traces (APM), real-user monitoring (RUM), and logs, then pinpoints the root cause and resolves it by opening pull requests with fixes.

Does Middleware require code changes to install?

No, Middleware supports both manual and auto instrumentation with a simple one-command lightweight agent installation that requires no changes to application code.

What data sources does Middleware support?

Middleware ingests all telemetry data including logs, metrics, and traces without sampling, and supports any language, framework, and cloud environment.

How much can observability costs be reduced?

Organizations using Middleware have reported 50% reductions in total observability costs by eliminating sampling requirements and avoiding vendor lock-in.

How does Middleware correlate observability signals?

All traces, logs, metrics, and frontend sessions are automatically linked by trace ID, allowing teams to move from symptom detection to root cause identification in seconds.