As a developer, when I first stepped into the wonderful world Kubernetes, I was amazed at the endless configuration possibilities it offered for containerized apps. It felt like I was handed the most multifaceted tool for all my deployment needs.

The tech landscape is a whirlwind of continuous evolution, making the role of a DevOps engineer more crucial than ever. A "pragmatic" DevOps engineer stands out as a beacon of efficiency and practicality in this dynamic environment.

We continue our exploration of the fascinating world of Kubernetes, logs, and metrics. In our previous installment, we delved into the intricate tale of Cribl Edge and its role in unraveling the mysteries of logging and metrics in Kubernetes environments with the Cribl Edge native sources for Kubernetes Metrics and Logs. Today, we’re picking up where we left off, shining a spotlight on a new and powerful tool that has the potential to demystify this complex ecosystem further.

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It allows you to create and manage clusters of machines, called Kubernetes clusters, to run your applications in a scalable and highly available manner. Kubernetes clusters provide a distributed and scalable platform for running containerized workloads.

We are delighted to announce the release of Rancher Desktop 1.11.0! This update comes with new features, Snapshots and the Container Dashboard, along with other important bug fixes.

I recently had the pleasure of speaking at Neon DevDays, where I delved into the seamless integration between Neon and our Qovery Preview Environments (also called Ephemeral Environments). Here is an article sharing some compelling reasons why this partnership is a groundbreaking step forward for our users who rely on Postgres and the record of my presentation.

In the world of Kubernetes, where applications are encapsulated within containers and seamlessly distributed across diverse clusters of computers, the enigmatic Kubernetes scheduler takes centre stage. Think of it as the orchestra conductor of your Kubernetes cluster, orchestrating a symphony of resources to ensure seamless operations. This unassuming yet powerful component leverages a sophisticated algorithm to perform the intricate dance of optimizing resource allocation.

Google Cloud Platform (GCP) and Microsoft Azure are two of the leading cloud computing platforms, offering a wide range of services for businesses of all sizes. When choosing a cloud platform, it is important to consider factors such as pricing, features, performance, etc. This article will compare different services of GCP with Azure, including pricing models. We will provide a summary of the comparison in the form of a table at the end of the article.

At Qovery, we're consistently pushing boundaries to enhance developer experiences. One of our standout achievements has been accelerating deployment times, a feat we're incredibly proud of. Today, we'd like to pull back the curtain and share how we've sped up deployments by a staggering 30% through our innovative Container Image Mirroring.

Containerization has significantly improved the way we deploy and manage applications over the past years. It has enabled agility, scalability, and efficiency in modern software development. However, the dynamic nature of containers requires robust monitoring solutions to ensure optimal performance and reliability. In this article, we will discuss the top 10 container monitoring tools that are essential for anyone navigating the containerized landscape.