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.
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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.
The enterprise changed. ITOps didn't.
The modern enterprise runs on a technology stack that changes faster than the operating model responsible for keeping it available. Applications that once moved through scheduled releases now change continuously. Infrastructure is distributed and dynamic. Services depend on other services, teams depend on other teams, and operational data arrives from more places than any individual can reasonably inspect. The business asked for agility, flexibility, and velocity, and the tech delivered.
Introducing Swarm Investigation from BigPanda: Autonomous, multi-agent IT incident investigation
When a major incident opens, the opening minutes often become a race across disconnected tools and competing theories. One engineer checks a monitoring tool. Another scrolls through change records, looking for the one line that explains everything. A third pings Slack, asking if anyone has seen this before. While these are reasonable steps, taken one at a time, in sequence, they are far too slow.