BigPanda

BigPanda is an IT operations platform that ingests and correlates events from monitoring, observability, and change systems to support incident management and operations automation in enterprise environments.

• Event correlation and incident management for IT operations (ITOM/ITSM)
• Aggregation of alerts from monitoring, observability, and logging tools (observability)
• Incorporation of change and topology data into incident context (IT operations analytics)
• Automation and workflow orchestration around incident triage and resolution (IT process automation)
• Dashboards, reporting, and analytics for operations performance and remediation (operations analytics)

More About BigPanda

BigPanda provides an IT operations platform that aggregates events and alerts from monitoring, observability, logging, and infrastructure tools, normalizes the data, and correlates it into incidents that operations teams can manage in a structured workflow. The platform is positioned for enterprises that operate complex, distributed, and hybrid environments and need a centralized layer for incident detection, triage, and collaboration across network, infrastructure, application, and Site Reliability Engineering (SRE) teams.

The platform is typically categorized in domains such as incident management, event correlation, and IT operations analytics (AIOps). It ingests alerts and telemetry from commonly used monitoring and observability stacks, configuration and change management systems, service management platforms, and public cloud services. Using correlation logic and data models, it groups related alerts into incidents and enriches them with context from topology, change events, and metadata, so that operations teams see fewer, more structured incident objects rather than large volumes of isolated alerts.

BigPanda integrates with IT service management (ITSM) tools for ticketing and change records, as well as collaboration systems used by incident response teams. The platform supports automation and workflow orchestration, such as routing incidents to specific queues or teams, triggering runbooks, or updating tickets based on incident state. These capabilities position it as a central coordination layer between monitoring tools, ITSM platforms, and operations processes.

Architecturally, BigPanda functions as a cloud-based event and incident hub that relies on APIs, connectors, and data pipelines to interface with monitoring, logging, observability, ITSM, and DevOps tools. It supports common enterprise patterns such as hybrid and multi-cloud operations, where events may originate from on-premises (on-prem) infrastructure, private clouds, and public cloud resources. The platform aligns with practices like SRE, Network Operations Center (NOC) operations, and DevOps by providing shared visibility and structured incident handling.

In marketplace and directory taxonomies, BigPanda can be grouped under AI Operations (AIOps) platforms, IT Operations Management (ITOM), incident management, and observability-aligned event correlation. Its core usage centers on reducing alert noise, correlating events into incidents, and enabling coordinated response workflows that connect monitoring data with service management and collaboration systems for large-scale enterprise IT environments.