Operations | Monitoring | ITSM | DevOps | Cloud

Introducing the BigPanda Triage Agent and the future of agentic L1 operations

If you’ve been following the development of BigPanda AI Detection and Response (ADR), you’re aware of our mission to automate Level 1 (L1) operations and eliminate the need for manual, time-consuming investigations. In our last update, we highlighted the manual, complex, and time-consuming processes that hinder modern IT teams. Enterprises spend billions on observability tools based on the false belief that more coverage equals total visibility.

Five ITOps best practices to stay ahead during major third-party outages

When external providers fail—whether it was CrowdStrike outage last year, AWS outage last month, or the Cloudflare DNS outage yesterday—the symptoms inside your environment often look like internal issues: timeouts, login failures, API errors, service degradation, or sudden spikes in dependency-related alerts. It’s natural for teams to start searching through their own infrastructure first, but none of these symptoms clearly point to your systems as the root cause.

BigPanda Acquires Velocity: Accelerating the Future of Agentic IT Operations

Today marks an exciting milestone for BigPanda and for the future of IT Operations. We’re thrilled to announce that BigPanda has acquired Velocity, an AI SRE company whose technology and team share our passion for transforming how enterprises keep the digital world running. Velocity brings deep expertise in Site Reliability Engineering (SRE) and major incident response, developed alongside some of the world’s most sophisticated technology organizations.

How agentic ITOps helps ensure resilient IT infrastructures

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.

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.

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.