STORM Mainframe Resolver Enterprise
AI-first incident radar for noisy mainframe logs
STORM Mainframe Resolver Enterprise – AI-driven incident detection for mainframe logs
Summary: STORM Mainframe Resolver Enterprise monitors noisy mainframe logs to detect and stream incidents in real time. It stores incident data locally in SQLite and enables querying past events using an LLM with a GROQ_API_KEY, facilitating detailed incident investigations.
What it does
The tool watches the mvs_stderr.log for incidents, streams them over NATS, and saves them in a local SQLite database. Users can run “time travel” queries on past incidents via an LLM using their own GROQ_API_KEY.
Who it's for
It is designed for mainframe operators and engineers needing automated incident detection and historical log analysis on Windows systems.
Why it matters
It addresses the challenge of extracting actionable incidents from noisy mainframe logs, enabling faster and more effective incident investigation.