Operations | Monitoring | ITSM | DevOps | Cloud

Our last Qovery Demo Day took place on a live on the first Thursday of May. This event aims to give you some insights into what we did during the past month and what’s next and showcase some of our new features. During this demo day, Bilel (Software Engineer at Qovery) and Romain (Software Engineer at Qovery) joined me to talk about Terraform Improvements demo and Docker Build Improvements demo.

Continuous integration is a DevOps practice, where developers continuously integrate the code changes into a central repository. It most often refers to the build or the integration stage of the software release process. A continuous integration service helps to automatically build and run unit tests on the new code changes to find any errors instantly.

If you are on Shipa Cloud today, you will have noticed a new module called Insights. We are pleased to announce the initial release of Shipa Insights and certainly have a lot in store as we continue to build out the module. As more items continue to shift left towards the developer and the rise of the full lifecycle developer continues to occur, outside of technical non-functional requirements such as connectivity, reporting and metrics are also important.

With KubeCon underway, many of us in the cloud native community are looking forward to learning about the newest innovations from the companies we follow. At SUSE, we’ve been working hard to deliver some new enhancements to Rancher with our 2.6.5 version. I want to briefly take you through the highlights of this release and why we’re excited about these new additions.

Like your virtual machine running another virtual machine , today thanks to Loft Labs, you are now able to run multiple virtual Kubernetes clusters in a Kubernetes cluster. The vcluster project is focused on creating fully functional virtual Kubernetes clusters inside a base cluster allowing for a different approach to multitenancy than spinning up a separate Kubernetes cluster. A core use case of Shipa is the ability to have abstractions that make deploying to multiple clusters easy for developers.

A Kubernetes environment includes a wide range of resources—such as clusters, nodes, and pods—that work together to run dynamic applications at scale. In order to monitor a Kubernetes application effectively, you need a multi-dimensional view into your clusters’ health that encompasses the complex dependency relationships among these resources.

Prometheus is considered the de facto standard for Kubernetes application metrics, but running it yourself can strain engineering time and infrastructure resources when your usage grows. In March, we announced the general availability of Google Cloud Managed Service for Prometheus to help you offload that burden, and today, we’re excited to announce a new low-cost, high-usage pricing tier designed for customers who are moving large volumes of Kubernetes metrics over to the service.