Operations | Monitoring | ITSM | DevOps | Cloud

Identify recurring issues and reveal their root cause with BigPanda IT Problem Management

For many enterprises, incident response feels like déjà vu. The same issues keep happening over and over, eating up time, draining resources, and wearing down your teams. In fact, 20-40% of IT incidents are typically recurring issues, created by unresolved underlying problems. Teams prioritize speed over permanence, patching symptoms instead of addressing the root cause. They often lack the right context, documentation, or shared knowledge to permanently fix issues.

BigPanda & Jira Service Management: Enterprise-wide visibility meets team-level autonomy

Business teams today move fast. Developers, site reliability engineers (SREs), and product owners expect to manage incidents, changes, and requests in a way that fits naturally into how they already work with tools like Jira and Confluence. Customers expect a seamless service experience powered by automation and AI. The result is a wave of teams adopting tools like Jira Service Management to get everything they need in one place without slowing down.

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.”