AI-powered event correlation and incident automation for hybrid IT environments.
BigPanda is a leading AIOps platform designed to address the complexity of modern, hybrid cloud infrastructures. By 2026, its technical architecture has evolved to leverage 'Open Box' Machine Learning and Generative AI to transform massive volumes of fragmented IT alerts into actionable incidents. Unlike traditional black-box AI, BigPanda provides explainable correlation logic, allowing IT Ops teams to understand the 'why' behind every grouped alert. Its Open Integration Hub connects with over 100+ monitoring, change, and topology tools, creating a unified data layer. The platform’s core value proposition lies in its ability to reduce alert noise by up to 95%, significantly lowering Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR). In the 2026 market, BigPanda distinguishes itself through its GenAI-powered 'Biggy' assistant, which automates incident summarization and suggests remediation steps based on historical patterns and documentation. The platform is built for enterprise-scale, offering a robust multi-tenant architecture that supports complex organizational structures and strict data sovereignty requirements, making it a staple for Fortune 500 companies managing sprawling digital estates.
BigPanda is a leading AIOps platform designed to address the complexity of modern, hybrid cloud infrastructures.
Explore all tools that specialize in automate incident response. This domain focus ensures BigPanda delivers optimized results for this specific requirement.
Explore all tools that specialize in detect anomalies. This domain focus ensures BigPanda delivers optimized results for this specific requirement.
Explore all tools that specialize in root cause analysis. This domain focus ensures BigPanda delivers optimized results for this specific requirement.
A transparent ML engine that suggests correlation patterns which can be reviewed, edited, and validated by human operators.
LLM-powered assistant that synthesizes thousands of alerts into a concise natural language incident summary.
Dynamically ingests topology data from CMDBs and cloud APIs to correlate alerts based on service dependencies.
Automatically correlates incoming alerts with recent CI/CD changes or infrastructure updates.
Tableau-powered BI layer for analyzing MTTR trends, noise reduction ratios, and team performance.
A low-code builder to trigger auto-remediation scripts or third-party webhooks based on specific incident triggers.
Bi-directional sync with ITSM platforms that groups related alerts under a single parent ticket.
Deploy the BigPanda Agent or configure the Open Integration Hub for data ingestion.
Connect primary monitoring sources (e.g., Datadog, Dynatrace, AWS CloudWatch) via API or Webhooks.
Define normalization rules to standardize disparate alert schemas into a unified format.
Configure Topology-Aware Correlation to map alerts to physical or logical infrastructure.
Initialize Open Box Machine Learning to identify historical alert patterns and suggest correlation logic.
Integrate with ITSM tools like ServiceNow or Jira for bi-directional ticket synchronization.
Set up collaboration channel integrations (Slack, Microsoft Teams) for real-time incident war rooms.
Configure 'Biggy' Generative AI settings for automated incident summarization and reporting.
Establish RBAC (Role-Based Access Control) and SSO for team-wide deployment.
Run a 7-day shadow period to refine correlation patterns before enabling automated remediation.
All Set
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Verified feedback from other users.
"Users praise the platform's ability to drastically reduce alert noise and provide clear visibility across complex stacks, though some note the initial setup requires significant effort."
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