Operations | Monitoring | ITSM | DevOps | Cloud

Infrastructure resilience is essential for any modern IT environment. Downtime is expensive. Beyond the stresses of day-to-day operations, you want to be confident that your IT systems will continue functioning during service disruptions, hardware failures, or natural disasters. Agentic ITOps can help ensure a reliable, resilient IT infrastructure environment. These systems use agentic AI to help IT teams minimize downtime, improve customer trust, and protect your business’s revenue and reputation.

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.

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.

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.

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.

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.