Operations | Monitoring | ITSM | DevOps | Cloud

Modern, distributed application architectures pose particular challenges when it comes to coordinating incident management. DevOps, SREs, and security teams—often spread out across separate locations and time zones, and equipped with limited knowledge of each other’s services—must work quickly to collaboratively triage, troubleshoot, and mitigate customer impact.

Your enterprise may have oncall management employees available across various departments, and these workers can help your business if problems arise, even outside of normal operating hours. How you manage your oncall management teams can have significant ramifications on your enterprise and its stakeholders. To understand why this is the case, let’s look at what it means to be “oncall,”. Along with tips and recommendations to help your enterprise staff achieve its desired results.

At Grafana Labs, we’re committed to helping teams dramatically improve how they manage and respond to incidents. Through Grafana Incident Response & Management (IRM), we provide tools to empower teams, streamline processes, and enhance the effectiveness of incident management strategies—and we’re constantly looking for ways to make our solution even better.

The emergence of AI opens new and innovative possibilities, simplifies operations, and boosts overall success. With AIOps, your technical organization can achieve unparalleled efficiency, productivity, and profitability. This cutting-edge technology leads us toward a brighter, more prosperous future with exciting opportunities to grow and thrive.

When we launched Signals to the world, we were excited to hear how our product resonated with many teams. But with that excitement came an understandable concern: how much time and effort will I have to put in to move from my existing provider to Signals? We hear you — that’s why we built the Signals Migrator tool. And we’re open sourcing it.

We went live with our first set of AI-enabled features a few months ago. Needless to say, we learned a lot along the way, as this was the first time we had experimented with generative AI. Here, I'll share some of what we've learned as we’ve grappled with using LLMs to power new products at incident.io. This will be most applicable to the application layer, AI-enabled but not AI companies.

Use the different timezones and varied needs of your team to schedule on-call rotations that make everyone happy.