AI SRE agent that detects production issues, runs root cause analysis, and auto-generates fixes with pull requests across APM, RUM, Logs, and Kubernetes.
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What customers say
“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.”
Nico Laqua, CEO at CorgiMiddleware customer
“Middleware has played a very good role in transforming our observability and application performance. For instance, we reduced our total observability costs by 50%.”
Bala DaggupatiAce TurtleMiddleware customer
Real User Monitoring (RUM)
Ace Turtle consolidated application and infrastructure observability with Middleware, replacing Datadog and New Relic. Middleware reports 50% lower observability costs and a 50% reduction in MTTR; the story lists APM,…
Trademarkia deployed Middleware for Kubernetes and AWS visibility, real-time logs and linked frontend/backend traces. Middleware reports nearly 20% faster issue detection and resolution. Synthetic monitoring and RUM are…
MindOrigin adopted Middleware for infrastructure monitoring and centralized logging to support operational and regulatory needs. Middleware reports 75% lower observability costs, nearly 50% lower MTTR and 75% less time…
Middleware June 2026 Platform and OpsAI Feature Updates
Middleware released a broad set of platform updates in June 2026. Key features include the expansion of OpsAI for IDE and cross-platform workflows, Remote MCP Server support for IDE-based observability access, and Kubernetes command execution. The release introduces MongoDB database monitoring, expanded LLM observability with prompt evaluation and playground features, GPU infrastructure monitoring, and Kafka monitoring for Kubernetes. Additionally, users can now route metrics, logs, and traces directly to AWS S3 buckets, and Vercel support has been added to the OpsAI issue investigation suite.
