Operations | Monitoring | ITSM | DevOps | Cloud

Eliminate Manual L1 Workflows: BigPanda Enhances AI Detection and Response with New Features

We introduced our vision for BigPanda AI Detection and Response (ADR) at our annual customer event earlier this year, and shared how we’re going to automate L1 operations and eliminate the need for manual investigations. We’re pleased to announce the continued evolution of ADR with a brand-new set of capabilities.

BigPanda was recognized in 10 Gartner Hype Cycles in 2025

Every day, BigPanda redefines how enterprise operations teams prevent disruptions and streamline incident management. Our agentic IT operations platform helps enterprises detect, respond to, and resolve incidents faster and ensure that IT remains scalable, effective, and sustainable. I’m proud to announce that in 2025, BigPanda received recognition across ten Gartner Hype Cycles, which we believe is a testament to our relentless innovation and customer focus.

What are agentic IT Operations?

The rise of hybrid cloud, CI/CD, agile methodologies, and microservices has dramatically accelerated innovation, but it has also brought corresponding increases in complexity, fragmentation, and chaos. Enterprise IT departments are struggling to keep up. To stay ahead of these complex environments, enterprises have dramatically increased their spending on observability and IT Service Management (ITSM) tools. However, despite a 20% year-over-year increase in spending, incident detection remains poor.

Enhance IT change management processes with BigPanda

Human-executed change is still the most significant contributor to IT outages, and traditional IT change management can’t keep up. One global enterprise processes over 30,000 changes per month, supported by more than 10 Change Advisory Board (CAB) meetings per week, and still sees 15–20% of major incidents caused by changes. Even more telling: 60% of those incidents are linked to changes previously assessed as “low risk.”

Monitoring & Observability Report Top Findings

Today, BigPanda released our first-ever research report based on data gathered from our agentic IT operations platform. Our Monitoring and Observability Tool Effectiveness for IT Event Management report provides insights and benchmarks on incident detection and noise reduction for 130 enterprise organizations, including the monitoring and observability data sources integrated with BigPanda.

Agentic ITOps: The smarter alternative to outsourcing L1 operations

The complexity of modern enterprises has pushed IT operations to the limit. Hybrid cloud environments, CI/CD pipelines, microservices, and agile methodologies revolutionized IT, but caused an explosion of scale and data fragmentation. This complexity simply cannot be managed by legacy tools or manual ITSM processes designed for monolithic systems and static infrastructures.

Beyond the CMDB: How to build an AI-first data strategy to fuel agentic ITOps

The Configuration Management Database (CMDB) has been the backbone of IT Service Management (ITSM) and IT operations for years. A CMDB is a central repository that stores information about IT assets, configurations, and dependencies, enabling organizations to manage their IT infrastructure more effectively.

Takeaways from BigPanda25

Last week saw several huge milestones for BigPanda. We launched the BigPanda agentic IT operations platform, a sweeping evolution of our product offerings. As part of this launch, we also introduced two new AI solutions, BigPanda AI Detection and Response and BigPanda AI Incident Assistant. These powerful new capabilities bring agentic AI into IT operations, transforming how enterprises automate the manual and time-intensive workflows of ITOps, L1 response, and incident management.

What is an AIOps platform?

IT operations (ITOps) teams are challenged to keep pace with the rapid pace of digital transformation. As companies use more cloud-based apps, increase agile deployments, and develop new microservices-based applications, their technology stacks become exponentially more complex. This makes life increasingly challenging for the teams responsible for maintaining reliable IT services and infrastructure. Hybrid tech stacks are siloed, complex, and fragmented.

Unlock a new era of agentic, AI-powered IT operations with a modern data strategy

IT operations have reached a breaking point. Hybrid cloud and modern software architectures have led to unprecedented increases in the scale, complexity, and fragmentation of IT infrastructures. In their attempts to manage this complexity, enterprises invest billions into observability tools, IT Service Management (ITSM) platforms, and outsourced Managed Service Providers (MSPs).