BigPanda aggregates, normalizes, and enriches events collected from fragmented tools and correlates that data into actionable incidents. The platform allows you to detect system issues as they form, in real-time, before they escalate into outages.
To further speed up incident triage, BigPanda provides tools to quickly isolate and surface an incident’s root cause. This includes generative AI suggestions, incident progression visualization, and evaluation of changes to services and infrastructure that could cause incidents.
BigPanda also streamlines incident response with automatic incident triage, bi-directional ticketing, and notifications. Connections to third-party runbook automation tools facilitate workflow automations to drive faster incident response.
- Agnostic Architecture - BigPanda unifies your entire monitoring system by ingesting and sharing data to the tools you prefer, whether you are using cloud, on-prem, or hybrid data center environments.
- Pragmatic AI - BigPanda's no-experts-required explainable AI delivers transparent, testable, and controllable ML logic that is purpose-built for incident responders.
- Fast and Easy - BigPanda is easy to start, with a cloud-native architecture, lightning-fast provisioning, and an intuitive UI designed to make triaging and remediating incidents simple.
- Alert Intelligence
- Incident Intelligence
- Root Cause Changes
- Workflow Automation
- BigPanda Analytics
- Pragmatic AI
- Enterprise Security and Safety
The need for multiple observability and monitoring tools to provide IT Ops, NOC, DevOps and SRE teams visibility results in overwhelming alert noise and lack of situational awareness across fragmented teams.
BigPanda collects, cleans, and prepares data for AIOps processing. BigPanda engineers your raw events across several stages including filtering, normalization, deduplication, aggregation, and enrichment.
Dramatically reduce IT noise by filtering out false positives and benign events, and deduplicating recurring or cross-platform repetitions of the event. By aggregating events into high-quality alerts, IT Ops teams are able to see through the noise to focus on events that are actually related to incidents and outages.
BigPanda takes noise reduction to the next level and aggregates high-quality alerts from all of your monitoring tools together into a single pane of glass. This eliminates the need for teams to switch between different tool consoles when working on incidents and outages.
Read more about the advantages of normalizing and cleaning monitoring data in the Data Engineering documentation.
Every second counts during a system outage, and rapid identification and escalation are key to lowered MTTR and increased uptime. BigPanda provides a powerful AI/ML-driven alert correlation engine that can help identify incidents in real-time and accelerate triage by adding business context and business logic when operators need it.
BigPanda correlates high-quality alerts together to build the full-picture of issues within your infrastructure. By combining alerts from across your integrated monitoring systems, you gain visibility into the entire outage, helping you prevent these incidents from escalating into crippling outages.
BigPanda then adds operational and business context to incidents, including topology and service data, recent changes, relevant runbooks, and more. Leveraging generative-AI, BigPanda then summarizes vital information into plain-language outage breakdowns with AI-Generated Incident Analysis.
This enrichment puts key knowledge at the fingertips of your IT Ops teams, so that they can quickly sort, filter, visualize, and act on incidents. L1 operators have the knowledge to act and potentially resolve incidents without escalation, and SMEs no longer need to dig through external resources to understand the developing situation. With BigPanda, you’ll need fewer bridge calls and manual coordination of effort, boosting the efficiency of IT Ops teams, and reducing MTTR.
In the complex systems of enterprise business, identifying the root cause of outages is the central goal and challenge of modern ITOps. BigPanda drives seamless root cause analysis (RCA) with our high-quality data correlation and generative-AI.
BigPanda surfaces the common denominator of each incident with dynamic incident titles and automatic incident analysis. Operators can spot the probable root cause at a glance.
As an outage evolves and new alerts are added to the incident, BigPanda ensures that your operators are always considering the full picture. The Incident Timeline shows in detail how an incident started and evolved. Teams can visualize the sequence of correlated events so they can trace the probable root cause more quickly.
A significant portion of incidents and outages are caused by software and infrastructure changes. Identifying these changes quickly and accurately is a core goal and challenge of incident management.
BigPanda's Root Cause Changes feature aggregates change data from all your change feeds and tools, including CI/CD, Change Management and Auditing. It then uses a text matching algorithm to surface changes that are the potential root cause changes for active incidents
Read more about RCA features and how to leverage them in the Incident Intelligence and Pragmatic AI documentation.
Incident triage and remediation traditionally involves dozens of manual actions to notify and coordinate teams. Many incidents escalate into crippling outages that impact users and customers only because IT Ops teams had not been mobilized in time to mitigate the issue.
BigPanda accelerates incident investigation and resolution by empowering automated notifications and ticketing.
Integrate directly with your ITSM and ticketing tools to sync BigPanda's high-quality incidents with your existing ticketing process. Automated collaboration tools mean that team members are sent full incident data, tickets are created and updated as the incident progresses, and automated runbooks can be triggered, all within seconds of the triggering event.
Read more about how to configure and leverage automation in your incident management processes, see the Workflow Automation documentation.
Analytics give you insight into the effectiveness of your IT operations. BigPanda provides a variety of standard and customized reporting options to help you visualize trends and KPIs on the business impact and effectiveness of your IT Ops processes, and delve deep into recurring issues or problematic systems
By aggregating your monitoring data into a single location, BigPanda Analytics also lets you view real-time statistics on operational health and bandwidth in a single pane. Visualize system-wide severity and status across multiple environments at once, allowing your teams to see overall service health at a glance.
Through rich historical reports and real-time data, you can track recurring incidents and outages, and identify the infrastructure elements or applications causing them. This helps you fix or eliminate them so that your existing IT Ops, NOC, and DevOps teams can handle more incidents than before.
BigPanda Analytics also helps IT Ops teams identify problematic, noisy, or misconfigured tools that generate low-quality alerts.
To learn more about how to leverage the BigPanda reporting and analytics options, see the BigPanda Analytics documentation.
BigPanda is committed to the security of your data. BigPanda uses a variety of industry-standard security technologies and procedures to help protect your information from unauthorized access, use, or disclosure.
You also have several security controls available within BigPanda such as:
- Roles Management
- Single Sign-On (SSO)
- Secure API Keys
- Session Management
- Regular Penetration Testing and Compliance Audits
To learn more about how BigPanda protects your data, see the Security documentation.
BigPanda is continuously improving and adding new functionality. Improvements are released to all customers as soon as they meet our high standards of stability.
Some functionality is first released in Limited Availability. These features are ready for use, but may experience changes as the product team finalizes feature functionality, UI polish, and stability. Features may have limitations on scale or access while in Limited Availability.
If you're ready to start improving your incident management with BigPanda AIOps:
Updated 12 days ago