New Relic is great at helping you to find application problems! It’s the cornerstone of your APM strategy. But you’re probably also using other tools to monitor other layers of your IT stack: Nagios, Splunk, Pingdom & others. This proliferation of tools makes seeing the overall health of your infrastructure a monumental challenge. BigPanda pulls it all together.
BigPanda’s powerful aggregation engine normalizes alerts from New Relic and all of your other monitoring systems into a single unified data model. Then, BigPanda uses cluster analysis and statistical learning to group related alerts into high-level incidents that are much easier to detect & understand.
BigPanda can often reach 99% correlation between alerts (with very high levels of accuracy).
BigPanda automatically maps out the relationship between your IT alerts and intelligently groups them along a variety of attributes, such as: host, cluster, application, micro-service, data center, or any other customizable variable.
By clustering noisy alerts, BigPanda helps IT teams spot critical issues faster and reduces mean-time-to-detection by up to 95%
BigPanda enriches alerts from New Relic with relevant information from your other monitoring, metrics, and change management systems. BigPanda frees you from constantly searching for more clues and connecting the dots. That helps you detect root cause and take action faster!