Enhance incident intelligence and root-cause analysis
BigPanda Incident Intelligence provides powerful AI and machine-learning alert correlation to detect, triage, and resolve incidents quickly.
Automate correlation and triage
Identify alert patterns and relationships across your environment. Speed incident prioritization and resolution with actionable insights.
Automated alert correlation
Operator-defined or ML-suggested correlation patterns bundle alerts from components within your IT environment to identify whether seemingly isolated alerts are part of the same incident.
Holistic incident view
Ingest and enrich incidents with CMDB, change, and other topology sources to reveal a comprehensive understanding of incident scope.
Incident classification and prioritization
Empower teams to classify and prioritize incidents quickly based on severity, business impact, and potential risk. Use formula calculations to create incident tags to automate and keep prioritization up-to-date.
AI-driven root-cause analysis
Automated Incident Analysis and Root Case Changes use AI to identify the underlying reason of issues or incidents in complex and dynamic IT environments.
The power of Incident Intelligence
Faster incident detection
“For us, an alert is not actionable unless it comes into BigPanda, is enriched, and is potentially correlated with the other alerts in the system.”
Real-time triage
“BigPanda helps us detect incidents and uncover probable root cause in real-time, which significantly reduces our MTTR.”
Enhanced efficiency with full-context insights
“BigPanda has enabled us to get more real-time, relevant data around a specific incident. This has significantly reduced our MTTR.”
FAQ
How does incident intelligence help reduce MTTR?
With BigPanda, ITOps teams can dramatically accelerate IT incident response, triage, and resolution times. One example is automated real-time root-cause analysis, which is essential when working to reduce incident mean-time-to-resolution (MTTR).
What is the role of generative AI in IT automation and IT incident response?
Generative AI can automatically analyze and summarize incidents, identify patterns, suggest root causes in real-time, and provide valuable insights to operators. It can also act as a smart assistant for ITOps, SREs, and DevOps teams, greatly reducing stress and improving incident response. Early adopters have found it greatly reduces the amount of time spent per incident.
How does incident intelligence make AIOps more proactive?
BigPanda incident-management capabilities within our AIOps platform help IT teams correlate events from different components and systems into interconnected, actionable incidents. This helps speed IT incident management, including detection, investigation, and resolution. With BigPanda, teams can address incidents proactively before they become outages, plus automate identification of root cause and creation of clear incident details for rapid resolution.
How does BigPanda differ from legacy event management tools?
Legacy event management tools, such as Netcool or CA Spectrum, struggle to adapt to the complexities of modern IT environments, especially the transition to hybrid cloud, microservices, and CI/CD pipelines. Finding skilled professionals to adapt legacy tools is exponentially more challenging, while the cost of maintaining legacy event solutions is significant. To address thesechallenges, the BigPanda SaaS model, AI, ML, and Open Integration Hub allow you to adapt to the dynamic nature of modern IT and support frequent changes in infrastructure and applications.
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