Operations | Monitoring | ITSM | DevOps | Cloud

DEJ's 2022 IT performance management study shines a light on the 24 areas impacting IT teams today. The pain points giving IT teams sleepless nights are all here – the war for talent, managing complexity, data management and analytics at scale, for example. As you delve deeper, however, a pattern begins to emerge – it all comes down to business outcomes.

If you've stumbled (or purposefully landed) on this blog post, chances are you are new to—or diving deeper—into the observability space, o11y for short. Suffice it to say, you’re not in Kansas anymore. Honeycomb in a lot of ways can serve as a yellow brick road into o11y, and this article should serve as an introduction into how Honeycomb facilitates implementing o11y into applications and distributed services.

Recently I heard one of our prospects talk about a competitor who was promoting their data lake and ask, how are we different than that? His question got me thinking about why a data lake alone does not provide the depth of observability you really need. The goal of observability is to help SREs, IT Ops and DevOps teams run their IT systems with close-to-zero downtime. Consolidating data from across your environment into a data lake is certainly a good step.

Instrumental has made the decision to shut down its platform starting August 2022 including its application, servers, and all related APIs being shut down. Users will need to migrate to another solution or risk all their data being permanently deleted! But Instrumental users need not fret!

Earlier this year we introduced the world to Grafana Mimir, a highly scalable open source time series database for Prometheus. One of Mimir’s guarantees is 100% compatibility with PromQL, which it achieves by reusing the Prometheus PromQL engine. However, the execution of a query in the Prometheus PromQL engine is only performed in a single thread, so no matter how many CPU cores you throw at it, it will only ever use one core to run a single query.

“Nastel is uniquely placed when it comes to understanding the configuration information and message content of messaging middleware and integration infrastructure” — Saurabh Sharma, GigaOm Nastel Technologies, the world’s #1 i2M (Integration Infrastructure Management) company, today announced that it has been rated as a leader in GigaOm’s new Integration Infrastructure Management & Transaction Observability Sonar Report.

Tracing, or more specifically distributed tracing or distributed request tracing, is the ability to follow a request through a system, joining the dots between all the individual system calls required to service a particular request. Although tracing logs have been around for some time, the trend toward distributed architectures, microservices, and containerization has elevated it from nice-to-have status to an essential piece of the observability puzzle.

Managing the digital experiences of an entire workforce isn’t easy. But that’s what today’s IT professionals are tasked with: as DEX has become an essential priority in our increasingly digital workplace, IT jobs now require service teams to deploy the strategies that ensure employees remain productive, engaged, and happy. But what about IT workers themselves? What about their employees experiences? After all, IT workers are employees too!