What is Ops AI by Middleware?
Ops AI is an observability co-pilot that detects production issues across various sources, including APM traces, RUM, and logs. It then fixes these issues with a single click and generates a pull request in GitHub.
Problem
Users manually detect and resolve production issues across APM traces, RUM, and logs, which is time-consuming, error-prone, and delays root cause analysis.
Solution
A DevOps dashboard tool that automatically detects issues across multiple sources (APM, logs, RUM) and resolves them with a single click, including generating GitHub pull requests for fixes.
Customers
DevOps engineers, site reliability engineers (SREs), and software developers managing cloud infrastructure and production environments.
Unique Features
Automatic root cause identification, one-click resolution with integrated GitHub PR generation, and multi-source observability correlation (APM, logs, RUM) in a unified interface.
User Comments
Reduces MTTR (Mean Time to Resolution) by 80%
Eliminates context-switching between monitoring tools
GitHub integration streamlines fix deployment
Proactively prevents recurring issues
Intuitive interface requires minimal training
Traction
Launched 2 months ago with 1.2k+ GitHub stars, integrated with AWS/GCP/Azure, and 50+ enterprise pilots including 3 Fortune 500 companies.
Market Size
The global IT operations analytics market is projected to reach $55.3 billion by 2026 (MarketsandMarkets), driven by cloud adoption and AIOps demand.
