Operations | Monitoring | ITSM | DevOps | Cloud

Traditionally, when monitoring or troubleshooting active incidents, engineers access logs directly on the source system. However, modern IT environments are now too complex, and engineers can no longer manage and analyze logs effectively this way. With the adoption of microservices and the use of cloud-native infrastructure, it’s no longer feasible.

Moving to Splunk Cloud Platform has a lot of benefits, including flexibility, agility, and scalability. However, we understand that migrating to cloud is not a trivial task and can also bring up security concerns especially when it comes to having your data traverse the internet.

Observability is a methodology that you incorporate into your enterprise architecture to provide greater visibility into what is happening. It helps us determine the states of the system from their external outputs and allows technicians to identify bottlenecks, predict issues and mitigate them. As the architectures of IT systems are becoming more complex and distributed we use observability to meet the need to measure their internal states.

Observability is a hot topic in the IT world these days. It is oftentimes discussed through the lens of the “three pillars of observability”: Logs, Metrics and Traces. Indeed these telemetry signal types help us understand what happened, where it happened and why it happened in our system.

In my last blog post, Building a Cost-Effective Full Observability Solution Around Open APIs and CNCF Projects, we introduced using ChaosSearch in combination with the most popular open source front- and back-ends in the application observability space. In case you missed it, the TL;DR version is that you can use a variety of open source projects and open API-based components to build the best-of-breed observability stack of your choice rather than relying on expensive, all-in-one solutions.

When we began the week, we had zero awards from Comparably. As we end the week, we now have a three-peat of awards. Cribl was recognized among 70,000 companies out of 15 million ratings – winning top honors for Happiest Employees, Best Compensation, and Best Perks and Benefits. We’re thrilled to be recognized by Comparably, and we’re looking forward to continuing our pursuit of being the best place to work.

Many developers don’t know what instrumentation really is, and those who do don’t really understand the black magic that takes an application and makes it emit telemetry, especially when automatic instrumentation is involved. On top of that, each programming language has its own tricks. I wanted to unwrap this loaded topic on my podcast, OpenObservability Talks. For this topic I invited Eden Federman, CTO of Keyval, a company focused on making observability simpler.

Building modern, cloud-native applications introduces new challenges to teams and organizations. As these systems grow and scale, struggles abound: inconsistent performance monitoring experiences across siloed tools, wasteful performance management practices with duplicated efforts, and mounting frustration from colleagues and customers. Surmounting these challenges requires multiple sources of data and truly unified observability.