Doing nothing is still a decision.
IT environments keep getting noisier and more distributed. The teams managing them aren’t growing at the same pace. That gap won’t close on its own.
Operations | Monitoring | ITSM | DevOps | Cloud
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BigPanda has been recognized as a Niche Player in the 2026 Gartner Magic Quadrant for AI Applications in IT Service Management report
On August 17, Gartner placed BigPanda in the Niche Players quadrant of the 2026 Gartner Magic Quadrant for AI Applications in IT Service Management (ITSM). It’s our first time on this MQ, after an honorable mention last year. I’m glad we’re there, and I want to explain why a company that doesn’t sell an ITSM platform reads that as a strong result.
When five agents are looking at the same IT incident, which one makes the decisions?
It’s 2:14 am, and checkout latency at your largest retail store has tripled. Your observability platform’s agent has already posted to Slack that there is a connection pool exhaustion on the orders database, with a link to the trace. Your cloud provider’s agent reports a degraded network path in one availability zone. The AI SRE tool one of your product teams adopted last spring points to a deploy that went out at 1:50.
Building Reliable IT Infrastructures
Downtime is expensive, and it’s getting harder to avoid. Every year, enterprise IT environments grow more distributed, dynamic, and difficult to maintain with legacy tools and manual processes. With unplanned outages costing enterprises nearly $25,000 per minute, establishing and maintaining a resilient IT infrastructure is essential. Enterprises have already invested heavily in resilient architecture.
BigPanda Analytics: AI-driven insights and faster answers across all your ITOps data
See how BigPanda Analytics turns IT operations analytics into instant answers, no hand-built reports required. IT leaders are used to waiting on a report someone on the ops team had to hand build, and every follow-up question starts the cycle over again, while the business keeps moving. This demo shows how IT executives get direct access to IT operations analytics: prebuilt dashboards, AI-powered insights, and a natural language research tool that answers questions in real time.
Swarm Investigation: Watch AI Agents Resolve Incidents in Minutes | BigPanda
Swarm investigation puts an entire team of AI agents on a major incident at once, cutting root cause discovery from hours to minutes. Every minute of a major incident costs real money, and traditional investigation, whether it's one engineer chasing a hypothesis or a team coordinating across tools, can't keep pace. This video shows how BigPanda's Swarm investigation dispatches AI agents to query systems, compare signals, and validate root cause in real time. See how autonomous incident response turns hours of manual troubleshooting into minutes.
Runbook Matching: See L1 Agents Find the Right Fix
The fix for your next incident is probably already written in a runbook. See how BigPanda finds the right runbook for every incident, automatically.
Is your most expensive talent spending valuable time writing status updates?
A major incident can turn a highly skilled engineer into a coordinator, a search engine, and a status writer. The work looks necessary in the moment. The cumulative effect is easy to miss: the people most needed to understand the failure spend their time repeating what others already know.
AI can speed up development. Can operations keep up?
Enterprise software can now change faster than most operating models can interpret what changed. That creates a question many AI plans leave unanswered: when development accelerates, where does the operational bottleneck go?
What's new from BigPanda: September 2026 Product Updates
Most teams we talk to are fighting the same battle. The knowledge needed to make a decision already exists somewhere. However, it’s locked in a tool your team isn’t looking at, or in the head of the one engineer who’s seen this same type of incident before. This month’s updates all chip away at that same problem. Here’s what’s new.