Operations | Monitoring | ITSM | DevOps | Cloud

Practicing observability isn’t just about tools. It also means improving how you work together and how you share lessons across the team. Learning from each other helps everyone on your team become better engineers that can create amazing experiences with code, or that make code work at incredible scale (or both!). Writing software and operating it in production is—and must be—a team sport.

During World War II, a mathematician named Abraham Wald worked on a problem – identifying where to add armor to planes based on the aircraft that returned from missions and their bullet puncture patterns. The obvious and accepted thought was that the bullets represented the problem areas for the planes. Wald pointed out that the problem areas weren’t actually these areas, because these planes survived.

Web applications have evolved from static pages with minimal user interaction to a dynamic intuitive interface that delivers advanced functionality. the complex architecture of these applications makes it necessary to monitor and maintain application health, performance, and end-user experience. Catchpoint’s monitoring platform provides all the tools you need to track application performance.

Once an app is launched to market, it’s up to the engineering team to ensure that it continues to meet its SLAs. See how we use VMware Tanzu Observability (Wavefront) and Sentry to proactively monitor and fix issues before they become production problems. Every engineering leader has experienced the anxiety and stress of taking an app to production. It’s a mix of excitement and trepidation – your creation will be used in real life, but what if something goes wrong?

Last week, the first OpenObservability conference took place. This event had amazing content contributions from open source project leaders, users, and influencers. We’ve seen massive growth and adoption in the open source observability space from the inspiring work being done across tracing, logging, and especially metrics. The new data stores and capabilities are growing at breakneck speed. There are more choices— yet more complexity—than ever before.