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Maximize your observability strategy with AIOps

Observability teams can enhance monitoring and get a better view of system performance to identify potential issues, resolve incidents, and improve processes.

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Leverage full-stack visibility and gain efficiency in hybrid environments

Make complex observability data truly actionable to drive monitoring and team efficiencies while improving uptime.

Deliver actionable alerts

Reduce alert noise by up to 95% using contextual correlation and generative AI analysis. Ensure that your team provides operators with alerts they can act on.

Screenshot showing alerts with context tags.
Example of the level of detail from an alert report.

Increase availability

Gain visibility into all enriched, normalized, and correlated alerts from observability, CMDB, topology, and change systems. Identify problems faster, refine triage, and improve uptime.

Speed incident resolution

Correlate and analyze incident data to identify meaningful patterns and root cause. Reduce downtime and provide insights that prevent future problems.

List of potential root-case changes including causal inference, support for CI/CD, and real-time correlation.
Diagram showing different ways to measure alert quality.

Maximize observability investments

Analyze tool data across your organization to measure alert quality within minutes. Unified Analytics offers insights and opportunities for a more efficient observability strategy.

Automate tasks

Identify and automate routine manual, operational tasks, such as restarting services and routing tickets, using insights from AIOps to improve team efficiency.

Screen showing a user’s alert subscription list.

FAQ

Does BigPanda replace my existing observability and monitoring tools?

BigPanda integrates with all observability and monitoring tools — as well as CMDB, change, and topology tools — to provide a unified view of alerts across complex IT infrastructures. BigPanda provides a unified, actionable view, allowing you to remove low-quality alerts and reduce noise so operators can quickly identify and prioritize incidents.

How do you support tool consolidation?

BigPanda provides clear metrics to compare tool quality, actionability, and efficiency. Aggregate alerts in the detection phase from all observability and monitoring tools, regardless of vendor, using Open Integration Hub. BigPanda correlates enriched alerts into high-level incidents using unique open-box ML to detect incidents in real time. Harnessing these capabilities, organizations such as FreeWheel reduce alert noise by more than 90%.

How can we add context to improve alert quality?

Enhance incident context by ingesting and normalizing data from diverse sources, including topology, CMDB, and change data to streamline team collaboration. BigPanda multidimensional alert correlation and AI analysis offer deeper insights and automate root-cause analysis for quick, informed decision-making. With this comprehensive approach, IT teams can identify and resolve incidents efficiently, providing a holistic view of system interconnectivity and operational impacts.

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