Operations | Monitoring | ITSM | DevOps | Cloud

Is your IT operations model keeping up with growing complexity? From rising incident volumes to costly outsourcing and unnecessary escalations, here are 4 signs it may be time to rethink how your IT operations run. Discover why enterprises are turning to AI agents to reduce manual work and scale operations.

Welcome back to This Week in ITOps, our weekly roundup of the news shaping the ITOps industry. This week, we saw several stories highlight the reality that as AI agents move into production operations, governance, observability, and cost control are becoming just as important as automation.

What happens when even 600 people aren't enough to keep up with incident volume? In this clip from BigPanda's Project Zero conversation, Tal explains why adding more L1 headcount doesn't necessarily mean faster incident resolution. The challenge isn't just capacity. It's the manual operating model. Watch the full Project Zero conversation on our channel.

Agentic IT operations (Agentic ITOps) deploy autonomous AI agents that can perceive, reason, plan, and act to investigate incidents, coordinate people, and improve with every incident they touch. Think of it as the next step in a progression, where monitoring surfaced the symptoms, AIOps separated signal from noise, and Agentic ITOps takes action on what it finds.

A Gartner survey of 782 I&O leaders found that only 28% of AI use cases in infrastructure and operations fully succeed and meet ROI expectations, while 20% fail outright. Among the 57% of I&O leaders who reported at least one failure, many said their AI initiatives failed because they expected too much, too fast.

AI can make decisions. But can it make the right ones across your entire IT environment? For enterprise SRE teams, trustworthy AI requires three things: operational context, institutional memory, and guardrails. Without them, autonomous action becomes a risk instead of an advantage. In our latest webinar, we explore what it takes to bring AI SRE capabilities to enterprise scale.

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.

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 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.

The fix for your next incident is probably already written in a runbook. See how BigPanda finds the right runbook for every incident, automatically.