Operations | Monitoring | ITSM | DevOps | Cloud

Understand the ROI of BigPanda: Top quantitative and qualitative findings

We published the first report showcasing the business value of the BigPanda platform, based on both quantitative and qualitative feedback from more than 20 enterprise customers. The Business Value of the BigPanda Platform report provides tangible insights into our platform’s impact on business outcomes.

Agentic ITOps: The evolution of AIOps

Enterprise IT departments are struggling to keep up with the dramatic increases in complexity, fragmentation, and chaos in their IT environments. Legacy tools and processes designed for monolithic systems and static infrastructures cannot meet these challenges. Enterprise ITOps requires a more agile and intelligent approach that leverages advances in AI and automation to remain scalable, effective, and sustainable.

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.