Operations | Monitoring | ITSM | DevOps | Cloud

Introducing the BigPanda observability tool rationalization framework

Enterprises face spiraling observability costs. Gartner reports a 20% year-over-year rise in spending, with the median spend per observability tool reaching $800,000 annually. The average organization using BigPanda coordinates data from ~20 different observability solutions, each taking up an ever-larger portion of IT budgets.

Introducing the BigPanda observability and monitoring tool rationalization framework

When enterprises run dozens of monitoring and observability tools, performance gaps almost always emerge. By applying the BigPanda Observability Scorecard, our customers consistently see their tool portfolio fall into three groups: In some cases, removing bottom-tier tools can reduce portfolio complexity by double digits while cutting operational noise by as much as 35-40%. This simplification reduces costs while creating a leaner, more reliable monitoring environment that strengthens service availability and operational efficiency.

How to analyze observability and monitoring tools for actionability

Choosing the right observability tools is critical so ensure your teams get actionable insights. In this video, we explore how to evaluate observability platforms based on their ability to detect anomalies, link causes, and trigger effective responses.

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.