Operations | Monitoring | ITSM | DevOps | Cloud

One of Kubernetes' killer features is its ability to seamlessly update applications no matter how large your deployment is. Did a developer make a code change, and now you need to update a thousand running containers? Just run kubectl apply -f manifest.yaml and watch as Kubernetes replaces each outdated pod with the new version.

Control over operational costs is pivotal in Kubernetes' deployment and management. Although Kubernetes brings power and control over your deployments, it also necessitates thorough understanding and management of costs. OpenCost, specifically designed for Kubernetes cost monitoring, combined with VictoriaMetrics, an efficient time series database, offers a comprehensive solution for this challenge.

In 2022, Ofcom, a UK regulator, began its market study into the cloud industry to investigate the dominance that hyperscalers, especially AWS and Microsoft, hold over the industry and the limits this creates for customers. This investigation follows concerns surrounding customers feeling “locked in” to a single provider, potentially leading to inflated prices in the market¹.

Most IT firms build their empire on Kubernetes, for its amazing flexibility and super scalability. RedHat OpenShift Container Platform (formerly OpenShift Enterprise) is a hybrid cloud application platform powered by Kubernetes, which initially only operated on-premise, and has been open to service for more than nine years.

LogicMonitor’s LM Container is an excellent choice for users who wish to effectively monitor Kubernetes environments running mission-critical business applications. We have now introduced a new cost optimization feature called dynamic property filtering, which offers added flexibility and customization to users. In this blog post, we will guide you through this exciting new feature with a step-by-step example of selectively monitoring a persistent volume based on its state.

Welcome to the Calico monthly roundup: September edition! From open source news to live events, we have exciting updates to share—let’s get into it!

Last Christmas, I bought my wife “Explain the cloud like I am 10” after she told me many times that it was hard for her to relate to what I am doing in my daily work at Qovery. While so far, I have been the sole reader to enjoy the book, I was wondering during my lecture if there were any resources to explain how to build all that. Most topics are software oriented.. So, in this article, I am going to explain how to build your own cloud network 🎊

In our last blog, we talked about the importance of setting memory requests when deploying applications to Kubernetes. We explained how memory requests lets you specify how much memory (RAM for short) Kubernetes should reserve for a pod before deploying it. However, this only helps your pod get deployed. What happens when your pod is running and gradually consumes more RAM over time?