Operations | Monitoring | ITSM | DevOps | Cloud

I open my laptop and look over my cases while I slurp down my first cup of coffee. Most of my backlog is waiting on customer updates, or bug fixes. Two of my cases have been marked for closure. Not a bad start for a Monday! A pod CrashLoopBackoff issue was resolved by bumping up memory requests, and the missing metrics issue was solved after applying some Prometheus annotations to the customer’s nginx pods. I notate and close both cases. No sooner do I hear the beep of the badge scanner.

This tutorial describes how to install the Telegraf plugin as a data-collection interface with InfluxDB 1.7 and Docker. In Part 1 of this tutorial series, we covered the steps to install InfluxDB 1.7 on Docker for Linux instances. We describe in Part 2 how to install the Telegraf plugin as a data-collection interface with InfluxDB 1.7 and Docker.

As a developer, it can become challenging to manage Kubernetes and develop applications simultaneously. That’s why we put together this guide to show you how the Kubernetes Dashboard can help developers overcome this problem and get an overview of the cluster and its workloads. From this, developers can focus more on application development while stressing less on cluster management.

Engineering teams’ autonomy and agility are vital in achieving efficient software development. However, manual infrastructure provisioning is a major source of inefficiency and bottleneck. As the developers wait for Ops teams to provision complex infrastructure, they cannot bring the creativity, speed, and agility expected of them. This is the reason successful companies are quickly adopting self-service infrastructure.

Kubernetes 1.26 is about to be released, and it comes packed with novelties! Where do we begin? This release brings 37 enhancements, on par with the 40 in Kubernetes 1.25 and the 46 in Kubernetes 1.24. Of those 37 enhancements, 11 are graduating to Stable, 10 are existing features that keep improving, 16 are completely new, and one is a deprecated feature. Watch out for all the deprecations and removals in this version!

Kubernetes is today the most well-known container scheduler used by thousands of companies. Being able to quickly and automatically scale your application is something standard nowadays. However, knowing how to do it well is another topic. In this article, we'll cover how pod autoscaling works, how it can be used, when it's exciting and not, and finally, we'll cover it with a Qovery usage we have internally.