Operations | Monitoring | ITSM | DevOps | Cloud

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.

Earlier this week, we gathered in San Francisco for our second SEV0—almost a year after our very first event. SEV0 has always been about shining a light on the biggest challenges (and opportunities) in incident response. Last year, we were still talking about the fundamentals: blameless culture, strong processes, and lessons from the best in reliability. This year felt different. AI has moved from background noise to front and center in every conversation, every team, everywhere.

When you’re responsible for the reliability of complex systems, the execution layer of your automation is not something you want to think about—it should just work. Whether you’re deploying code, patching servers, or responding to an incident at 3 a.m., your automation engine should be as resilient and scalable as the infrastructure it’s operating on.

This is the third post in our series on the future of incident management, which builds upon The Future of Incident Management: Your Blueprint for Operational Excellence and How Native Process Automation and Auto-Remediation Drive Operational Excellence. Organizations are facing increasing complexity across their IT landscapes.

A customer support technician is a technical professional who helps customers solve issues with hardware, software, and IT systems. They’re often the first point of contact when something breaks, whether that’s a computer glitch, a network outage, or a software error. The role is all about troubleshooting, guiding users through solutions, and making sure technology runs the way it’s supposed to.

Managing incidents manually isn’t realistic when their number keeps growing. That’s where automated incident response tools come in. They handle routine tasks so you can focus on actual problem-solving. In this blog, I’ve put together a list of the 9 best automated incident response tools for you. I looked at each one based on four key areas of the incident response process. This will help you see how they handle everything from start to finish.

When a system goes down, the impact isn’t just technical. It’s the people in the center of it who adapt, improvise, apply their judgment, and keep the business moving forward. I’ve worked in operations for more than 25 years, and one thing I’ve learned is that in any system, it’s the humans who are the truly resilient part.