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🚀 #Kubernetes #monitoring Made Easy with VictoriaMetrics Cluster

Our technical #guide walks you through setting up a VictoriaMetrics cluster using Helm charts, collecting k8s metrics via service discovery, and visualizing your data effortlessly.

🟣 What you'll learn:

✅ Deploying #VictoriaMetrics in Kubernetes with #Helm

✅ Scraping #metrics from #k8s components

✅ Storing & visualizing data in VictoriaMetrics #tsdb

docs.victoriametrics.com/guide

Metrics are usually stored with a nano timestamp in time series databases (#TSDB). ⌚

During an analysis of metrics stored in an #InfluxDB Time Series Database, a third party company got involved. Unfortunately they were not able to understand what a Nano Timestamp is and needed a translation to "human" date format. 🙍‍♂️

Luckily it's easy to change the date/time format. In my latest #blog article I describe how this can be done on any #Linux machine. 💡

claudiokuenzler.com/blog/1465/

Claudio Kuenzler · How to convert from Unix nano timestamp format to human readable date in LinuxBy Claudio Kuenzler

DB Gossip...

Sad but i saw this coming. InfluxDB is officially dead.

V3 won't come as a community version anymore.

Source: reddit.com/r/influxdb/comments

Hundrets of thousands FOSS projects integrated InfluxDB 1 or 2. It gained high popularity because of the light footprint, incredibly good data compaction and fast query engine.

V3 "core" (formerly edge) will only have 72hrs of Data retention (lol?). Other than that you will have to buy enterprise or use their cloud offering.

Hat jemand Erfahrungen in der Langzeit Archivierung von #TSDB also Zeitreihen Datenbanken?

#Prometheus sagt in seiner Doku folgendes:

- With proper architecture, it is possible to retain years of data in local storage.

Aber auch:

- Again, Prometheus's local storage is not intended to be durable long-term storage; external solutions offer extended retention and data durability.

Also was stimmt jetzt?

Und wenn doch, wie viele Jahre sind mit "years of data" gemeint?
Ich bräuchte 10+ Jahre.