Current OpenStack environments' metrics are monitored using traditional tools, while logs are manually analyzed for root-cause analysis.
Loom's AIOps solution, Sophie, leverages AI to analyze all of your logs in real-time to detect and correlate anomalies across your entire OpenStack environment. By doing so, Sophie finds issues before they affect your business, and radically simplifies the root-cause analysis process.
Sophie notifies your team of meaningful issues in your environment with the full context needed for troubleshooting, including the actual root-cause of the issue and recommended resolutions in plain English.
Loom Systems enables you to:
Get full operational insights including instant detection, isolation, and root-cause analysis for any anomaly without any manual configuration. No more skillset gap.
Correlate events across the different OpenStack components to trace the exact root-cause of the detected issues.
Cut down mean-time-to-resolution by up to 47% by getting to the root-cause of application issues instantly.
Julio Calderon, Global Senior Product Manager at KIO Networks, joined our session at OpenStack Summit 2017 to speak about his experience with Loom's AI-powered OpenStack monitoring solution.
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