Operations | Monitoring | ITSM | DevOps | Cloud

IT leaders are thrilled about the potential of Generative AI for IT Operations. But they also want to know how it works, why it works, and what it will do for them before taking the leap and adopting this new technology. Allow me to share my perspective on the hype and the truth behind Generative AI. I’m the Field CTO for BigPanda, Operational Intelligence and Automation driven by AIOps.

You’re in the incident channel rocking yet another incident. Comms are flowing, resolution is in sight, the team is grinding, and you’re feeling good. Then…

In the ever-evolving world of software engineering, the landscape is constantly shifting. New technologies emerge, best practices evolve, and how we build and run software continues to change. However, when it comes to incident alerting, it often feels like we're stuck in the past.

The ability to measure the internal states of a system by examining its outputs is called Observability. A system becomes 'observable' when it is possible to estimate the current state using only information from outputs, namely sensor data. You can use the data from Observability to identify and troubleshoot problems, optimize performance, and improve security. In the next few sections, we'll take a closer look at the three pillars of Observability: Metrics, Logs, and Traces.

While SMS alerts are handy, they also tend to be tricky. Across 120+ countries, we continuously deal with compliances & regulations from Vendors, Government, and Phone carrier companies. Other alert channels similar to SMS are a lot less cumbersome with higher delivery rates. Let’s take a look at the available options to switch from SMS.