Operations | Monitoring | ITSM | DevOps | Cloud

96% of companies now use or are in the process of evaluating Kubernetes. As the maturity and complexity of Kubernetes environments grow, costs quickly spiral out of control when an effective strategy for visibility and optimization is not in place.

In May, a team from Grafana Labs descended on Valencia, Spain, to share their latest insights on the cloud native landscape at KubeCon + CloudNativeCon EU 2022. Along with diving into the future of Kubernetes monitoring with kubectl alpha events and multi-cloud deployments, Grafanistas presented an overview of the Prometheus ecosystem with an eye towards how sparse high-resolution histograms are going to change the game.

Have you ever wondered how much effort goes into providing a seamless authentication process on a platform such as the Qovery console? Needless to say, we do not take security or user experience lightly. That’s why we decided to combine SSO through our users’ Git provider accounts (GitHub, GitLab and Bitbucket) with an external authentication service called Auth0.

Kubecon EU returned to Spain. This time to Valencia, city of paella and horchata and, of course, a great place for big events. We had a great time meeting you all in person, and attending the talks. Here are our hot takes from the event. The main event started on Wednesday, but before that different co-located events took place: Ebpf Day, Cloud Native SecurityCon, and PrometheusDay among others. These events gathered a large number of attendees.

Optimizing Kubernetes costs isn’t an easy task. Kubernetes is as deep a topic as cloud (and even more complex), containing subtopics like: That’s a lot for a busy DevOps team to understand and manage, and doesn’t even consider that line-of-business stakeholders and finance team members should have some understanding of each cost driver’s function and importance to contribute to a successful FinOps Strategy.

As the complexity of Kubernetes environments grow, costs can quickly spiral out of control if an effective strategy for optimization is not in place. We’ve compiled expert recommendations and best practices for running cost-optimized Kubernetes workloads on AWS, Microsoft Azure, and Google Cloud (GCP).