#grafanatempo — Public Fediverse posts

This episode of the LPI DevOps Tools Engineer 2.0 Introduction series introduces core tracing concepts, explores #OpenTelemetry fundamentals, and provides an overview of commonly used #opensource telemetry analysis tools, along with key ideas around application instrumentation.

Dive into the article by Uirá Ribeiro and Fabian Thorns: https://lpi.org/iqxk

#devops #opentelemetry #tracing #jaeger #grafanatempo #distributedtraces @opentelemetry

#GrafanaTempo 2.8 is here, introducing significant memory optimizations and expanded functionality in #TraceQL, its trace query language.

These updates aim to make distributed tracing more performant and accessible within observability stacks.

Dive into the details: https://bit.ly/4nI963I

#DevOps #Grafana #InfoQ

What I did in the last couple of weeks (part 5):

I started reading "Observability with Grafana" by Rob Chapman and Peter Holmes.
https://www.packtpub.com/en-US/product/observability-with-grafana-9781803249643

A nice read so far. They are using Grafana Cloud to make it easy for the reader to get going without having to set up their own observability stack.

They have example code to deploy into a kubernetes cluster (whatever flavor, minikube, ...) so it sends the metrics, logs and traces to Grafana Cloud.

They explain the basics of PromQL, TraceQL and LogQL, the basic architecture of Prometheus, Mimir, Loki and Tempo. They explain OpenTelemetry, they mention Jaeger and Zipkin.

This far a very nice read!

#kubernetes #k8s #observability #grafana #GrafanaLoki #GrafanaTempo #Prometheus #GrafanaMimir #OpenTelemetry

書いたよ!!

はてなブログに投稿しました
MastodonのOpenTelemetry対応を試してみた - await wakeUp(); https://sublimer.hatenablog.com/entry/2024/10/14/091655

#はてなブログ #Mastodon #OpenTelemetry #Observability #Grafana #GrafanaTempo #Kubernetes