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.

Last year we launched the Codefresh delivery platform powered by Argo. After the initial launch we started collecting feedback from all companies that tried it (as well as existing customers) and cataloged all feature requests and implementation ideas. The main goal is always to iterate quickly and address the most common issues in the most efficient way possible.

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!

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.

In the previous article of the series, we explained how to use Configmap generators in order to use Progressive Delivery for your configuration (and not just the container images). In this post, we will also cover another popular question: how to use Argo Rollouts with multiple services. Argo Rollouts is a Kubernetes controller that allows you to perform advanced deployment methods in a Kubernetes cluster. By default, it only supports a single service/application.

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?

Many organizations struggle with managing thousands of services and applications. A typical environment consists of a combination of modern cloud applications, on-premises workloads, and workloads that are in the process of being moved to the cloud. IT and operations teams can easily be overwhelmed by the large volume of data and activity that is generated across these systems.

Grafana is an open-source platform for metric analytics, monitoring, and visualization. In this article, we will explore the basics of Grafana and learn how to deploy it to Kubernetes. You will find specific coding examples and screenshots you can follow to deploy Grafana.