Technical webinar: Normalize events and enrich alerts
We recently hosted a technical webinar with three BigPanda experts to help customers understand best practices for event normalization and alert enrichment within the platform. The discussion covered multiple ways to set the foundation for effective event management.
Event normalization and alert enrichment are critical for turning low-quality events into high-quality alerts. Our experts explain how to:
- Prioritize the most critical sources of monitoring data for ingestion and normalization. When set up correctly, BigPanda can filter, deduplicate, and normalize event data to reduce alert noise. While noise reduction levels vary by organization, most see 85% compression of raw alerts after onboarding.
- Create and optimize a standardized tag model. Consistent tags allow BigPanda to correlate highly related alerts into incidents and find connections between alerts and changes throughout your systems.
- Enrich alerts with additional context in the form of operational and topological data. Added context makes alerts actionable, enabling faster triage, prioritization, root cause analysis, and remediation.
- Establish processes to configure and regularly update enrichment maps. Consistent updates ensure that events stay enriched with the latest information.
- Measure the success of alert normalization and enrichment. Use BigPanda Unified Analytics to identify problems with mapping, normalization, and missing enrichment data that make alerts less actionable.
“BigPanda has advanced AI and machine learning capabilities, but you can’t leverage those effectively if you don’t have a good foundation in place,” said Kevin Wood. “That is why normalization and enrichment are so critical. You can’t do effective AIOps without that solid foundation.”
Speakers
Jidnyasa Mantri is a solutions architect who helps customers integrate BigPanda into their existing infrastructure. She is an experienced software engineer with an MS in computer information systems from Grand Valley State University.
Kevin Wood is a senior solutions engineer who works with BigPanda customers to ensure they get the most from their platform investments. Before joining BigPanda, Kevin had extensive experience as a software engineer, solutions architect, and professional services manager.
Travis Yeo is a senior solutions architect with BigPanda. He is passionate about automation and observability. Travis spent more than eight years at Cisco as a NOC engineer, operations engineer, and business operations leader before joining BigPanda. This experience helps him create solutions to optimize IT infrastructure, reduce downtime, and increase operational efficiency.
Next steps
BigPanda uses advanced GenAI to improve incident response, enhance operational efficiency, and eliminate manual tasks. Check out the following resources to learn more about event management, normalization, and alert enrichment.
