Operations | Monitoring | ITSM | DevOps | Cloud

At the Grafana Labs booth at KubeCon + CloudNativeCon in San Diego this week, we showed a demo of a future feature for Grafana: distributed tracing datasources. Until now, Grafana has been bringing together metrics and logs, to be viewed side-by-side on one screen. Now we’re adding tracing, which has been a missing puzzle piece for even more observability in Grafana.

There’s been a fair bit of buzz lately about OpenTelemetry, which is the next major version of the OpenTracing and OpenCensus projects. The leadership of those two projects have come together to create OpenTelemetry, which combines the best parts of OpenTracing and OpenCensus to create one open source project to help with your instrumentation needs.

As explained on the Eclipse Che website, “Che brings your Kubernetes application into your development environment and provides an in-browser IDE, allowing you to code, build, test and run applications exactly as they run on production from any machine”. However when deployed in your production environment, those same applications can be monitored using observability tools to understand their performance to help inform future improvements.

Last week, we spoke with a lot of folks at PagerDuty Summit, where we explored the power of error monitoring in a world that’s always on (or on-call). What a neat tweet. Throughout our conversations, one thing became clear: developers are seeking out increased efficiency — they want to minimize time to error detection and resolution. They want to know about issues, find the root cause, and fix them quickly so that they can move on to other things — like writing more code.

Founded in 2014, Weaveworks Inc. makes software that helps developers and DevOps teams build, run and manage containerized applications on Kubernetes. Its products include GitOps-based cluster management, and application delivery, observability and monitoring solutions for services running on Kubernetes. It is a founding member of the Cloud Native Computing Foundation.

At Datadog, we’ve always been committed to ensuring that our libraries and software that run on your systems are open source. We believe that transparency into how we collect data and integrate with your applications is key for building trust.

At Grafana Labs, we are always working on optimizing query time on our Grafana Cloud hosted metrics platform, which incorporates our Metrictank Graphite-compatible metrics service, and Cortex, the open source project for multitenant, horizontally scalable Prometheus-as-a-Service.

Dear community, Kamon 2.0 is out and ready to roll! For this release we focused primarily on simplifying the installation proces and making sure that the core APIs are more solid and user friendly, since they will be the foundations upon which we will instrument the whole JVM world in the months to come!

In this article you will learn how to configure and use the Elasticsearch rollover feature in Jaeger. Note that this feature has been introduced in Jaeger 1.10.0. Jaeger uses index-per-day pattern to store its data to Elasticsearch. It creates a new index for each day based on span’s timestamp. These indices have to be periodically removed by jaeger-es-index-cleaner cron job. Typically users keep data from one week up to one month which results in 7 or 30 indices only for spans.