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What is Middleware?
Middleware is a full-stack observability platform developed to simplify operations and improve system reliability by integrating observability, automation, and AI. Built for engineering and operations teams, it ingests telemetry data including logs, metrics, traces, and real-user monitoring without sampling, supporting all languages, frameworks, and cloud environments. Middleware features an AI SRE Agent called OpsAI that automatically detects production issues, pinpoints root causes down to the exact line of code, and even opens pull requests with fixes. The platform unifies telemetry signals on a single timeline, eliminating the need to switch between tools during incident resolution. It also offers AI-powered natural language prompts to generate dashboards and queries without requiring knowledge of complex query languages. Middleware fits workflows that demand rapid issue detection and automated resolution, making it ideal for teams focused on reliability, DevOps, and site reliability engineering.
AI Tool Review Summary
4.7/5
Accurate, actionable, and automated
Intuitive with AI-driven insights
To provide full-stack observability with AI-powered automatic issue detection and resolution.
Supports all languages, frameworks, cloud platforms, and integrates telemetry data for unified observability.
Freemium model with paid tiers for advanced features and AI SRE automation.
Features
Features with the highest value for users are highlighted here.
Unified telemetry data
AI-powered SRE agent
Automatic root cause analysis
Multi-language and framework support
No code changes required
Natural language AI prompts
Full-stack observability
Single timeline correlation
Who Is It For?
Site Reliability Engineers
DevOps Teams
Software Engineers
IT Operations Managers
Cloud Architects
Startups
Large Enterprises
QA Engineers
Technical Support Teams
Product Managers
Pricing
Free
Basic telemetry ingestion Unified observability dashboard Manual instrumentation support
Pro
AI SRE Agent automation Automatic root cause analysis Pull request generation for fixes Unlimited telemetry data retention
Join the Command Staff.
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Pros
Significantly reduces time spent on debugging and issue resolution. Automates fixes by generating pull requests for detected problems.
Cons
May require initial setup to integrate with existing infrastructure. AI-driven fixes might need manual review in complex scenarios.
FAQs
Just Launched
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