Ananth Raj Kumar
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STORM Mainframe Resolver Enterprise
AI-first incident radar for noisy mainframe logs
STORM Mainframe Resolver Enterprise turns noisy mainframe logs into a live incident radar. A lightweight Windows bundle watches your mvs_stderr.log, flags incidents, streams them over NATS, and stores them in a local SQLite DB. Add your own GROQ_API_KEY inenv, unzip the folder, run start_resolver.bat, and start “time travel” investigations into past incidents within minutes.
About STORM Mainframe Resolver Enterprise on Product Hunt
“AI-first incident radar for noisy mainframe logs”
STORM Mainframe Resolver Enterprise was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #199 on the daily leaderboard. STORM Mainframe Resolver Enterprise turns noisy mainframe logs into a live incident radar. A lightweight Windows bundle watches your mvs_stderr.log, flags incidents, streams them over NATS, and stores them in a local SQLite DB. Add your own GROQ_API_KEY inenv, unzip the folder, run start_resolver.bat, and start “time travel” investigations into past incidents within minutes.
Who hunted STORM Mainframe Resolver Enterprise?
STORM Mainframe Resolver Enterprise was hunted by Ananth Raj Kumar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of STORM Mainframe Resolver Enterprise including community comment highlights and product details, visit the product overview.