Operations | Monitoring | ITSM | DevOps | Cloud

We're very proud to announce that we have been accepted by the Cloud Native Computing Foundation (CNCF) as a conformant Certified Kubernetes provider for our v1.20 Civo Kubernetes product based on K3s. Every small business starts with a goal of competing with the big fish of the industry, and a huge part of that is having the certification to prove you're providing a compatible service. We're now in the company of some really inspirational organisations...

Speedscale ‘SpeedChat’ Episode 2: Shift-Left vs. Shift-Right Throwdown featuring Nate Lee (Founder, Speedscale), Ken Ahrens (Founder, Speedscale) and Jason English (Principal Analyst, Intellyx).

Kubernetes orchestrates clusters of machines to run container-based workloads. Building on the success of the container-based development model, it provides the tools to operate containers reliably at scale. The container-based development methodology is popular outside just the realm of open source and Linux though.

Following the Open Operator Collection announcement from November, Canonical is today proud to announce the availability of Juju Operator Lifecycle Manager (OLM) 2.9. This new release of Juju brings new capabilities for Kubernetes operators as well as smooth integration with the Open Operator Collection.

During the next seven weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps. This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!

Monitoring the current state and performance of applications is critical for IT Ops and DevOps teams alike. Understanding the health of an application is one of the most effective ways of anticipating potential bottlenecks or slowdowns, yet it’s one of the largest challenges faced by many organizations that build and deploy software. This is largely due to applications’ distributed and diversified nature.