It's one of the most dreaded words among Kubernetes users. Regardless of your software engineering skill or seniority level, chances are you've seen it at least once. There are a quarter of a million articles on the subject, and countless developer hours have been spent troubleshooting and fixing it. We're talking, of course, about CrashLoopBackOff.

In the modern web-app space, there’s been a trend going around that I like to describe as “getting back to basics”. It seems as though over the years, the tooling and complexity around building web-apps has gotten more and more complex. In that time, we’ve strayed further from browser primitives into highly abstracted and javascript-heavy solutions to solve problems our browsers solved back in the 90’s.

In the ever-evolving world of software development and operations, DevOps has emerged as a game-changer. DevOps, short for Development and Operations, is a set of practices and principles that bridge the gap between these two traditionally siloed domains, fostering collaboration and accelerating the delivery of high-quality software. At the heart of DevOps lies automation, a powerful force that revolutionizes the way software is developed, tested, and deployed.

Skaffold is a command line tool that streamlines the workflow for building,pushing and deploying Kubernetes applications. Get started with our tutorial.

As more organizations embrace containerized applications, Kubernetes has emerged as the leading platform for orchestrating these containers. However, its complexity, combined with the inevitable reality of IT incidents, demands a well-defined strategy for managing disruptions. This article introduces Kubernetes incident management, describes common Kubernetes errors, and provides practical guidance to efficiently handle incidents.

Kubernetes (K8s) is at the forefront of modern infrastructure, but with its capabilities comes a deluge of telemetry data. Efficiently managing and optimizing this data is crucial to harnessing the full potential of your Kubernetes deployments.

Today, Canonical announced the release of Charmed Spark – an advanced solution for Apache Spark® that provides everything users need to run Apache Spark on Kubernetes. Apache Spark is suitable for use in diverse data processing applications including predictive analytics, data warehousing, machine learning data preparation and extract-transform-load (ETL).

We’re super excited to announce that we have shipped the first release of our solution for big data – Charmed Spark. Charmed Spark packages a supported distribution of Apache Spark and optimises it for deployment to Kubernetes, which is where most of the industry is moving these days.