Reduce IT noise by 98% with Alert Correlation

The average organization can have ten or more monitoring or observability tools in its IT stack. These tools keep generating an overwhelming amount of noise. ITOps, NOC, and DevOps teams drown in this noise and can’t focus on real incidents until it’s too late. Your organization’s alerts don’t have to turn into an untameable tsunami with no end in sight—there’s a better way forward.

With BigPanda’s AIOps platform, you can take advantage of all of the benefits alert correlation can deliver. By leveraging a powerful AI and ML-driven alert correlation engine, BigPanda can successfully group related alerts into meaningful, actionable incidents in real time, allowing your team to be more efficient and effective. BigPanda uses pattern recognition to automatically process the data generated by your monitoring systems, dynamically clustering alerts based on the rich context available from the alert enrichment process.

Setting up your alert correlation within our platform is simple. You can select one of our default correlation patterns and tailor it to your organization’s specific needs. The powerful AI/ML also suggests correlation pattern automatically based on historical data. User can customize the suggested correlation pattern definitions based on the structure and processes of your company’s production infrastructure. As new alerts are received, BigPanda evaluates all matching patterns and determines whether to update an existing incident or create a new incident.

Either way, the BigPanda platform can significantly decrease alerts — eliminating IT noise by up to 98%. Fewer incidents means more meaningful alerts will be categorized properly for your team to expertly deal with. And you can use Unified Analytics, powered by AIOps, to gain insight into alert volume reduction.