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…

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.

Having the context of how similar issues were handled in the past can be invaluable. It can help incident responders grasp the nature of recurring problems, their causes, and effective solutions that have worked in the past. Introducing Squadcast’s Past Incidents feature that assists incident responders by presenting them with a list of similar past incidents related to the same service they are currently investigating.

In today's fast-paced digital landscape, swiftly responding to incidents is paramount for engineering teams. Downtime is not just costly; it can tarnish your organization's reputation. The pressure felt by engineering operations, DevOps, and SRE leaders to architect and run an effective incident response process is immense. Fortunately, over the last several years, effective engineering organizations have developed a standard toolkit for running a good incident response process.

In the world of software delivery, organizations are under constant pressure to improve their performance and deliver high-quality software to their customers. One effective way to measure and optimize software delivery performance is to use the DORA (DevOps Research and Assessment) metrics. DORA metrics, developed by a renowned research team at DORA, provide valuable insights into the effectiveness of an organization's software delivery processes.