The recent market turmoil has everyone from developers to CTOs and founders asking themselves a fundamental question “Is our cloud-deployment strategy recession proofs, and if not, how can we adapt to the new market realities?” Within enterprises of all sizes, leaders are asking hard questions, looking for ways to cut costs without negatively impacting growth.

We have been busy at work in May creating new features and squashing bugs to delight those who use or have not yet started using Kubernetes. Finally, you can start finding Shipa back at in-person events, we just returned from Southern California at JFrog swampUP. We had many great conversations about what we have been working on, especially announcing the general availability of Shipa Insights, today!

Many tech startups experience rapid growth. This means they have to scale, develop many new features quickly, and find the best talent to grow significantly. Whether your team is already big or still small, let’s see how Qovery can help you manage the scale-up with the Preview environments!

Kubernetes is currently the de-facto container orchestration system on the market. Both small and large companies adopt it, and all major cloud providers offer it as a service. However, Kubernetes is a complex and layered platform, so you can’t just jump into it. There are three essential stages for each application: design, deployment, and operation. This blog post will focus on operation, where you need to monitor and troubleshoot your deployed applications.

Kubernetes is today’s leading container management platform, due to its comprehensive API and developer-friendly features. Using Kubernetes, you can create scalable and reliable applications that run on-premises systems and public clouds. Its out-of-the-box features allow it to distribute hundreds of instances over data centers and keep them up and running. In order to catch up with the automation level of Kubernetes, developing and deploying applications requires more autonomy.

Docker is the industry leader in the world of containerization. While the concept of containers is not new, still, it was not easy to create new containers. The underlying operating system complexities of creating a container were very challenging. Docker changed that and made things easier by handling the complexities mentioned above to launch a container. It's now super easy for developers to build, manage, scale and deploy their applications securely using Docker.

Having trouble deploying Kubernetes in a highly available mode and have a backing remote database? This blog is for you. I will explain how to deploy K3s in HA configuration with an external database Postgres. K3s is a certified Kubernetes distribution for IoT and Edge computing. I deployed it on virtual machines in an IBM Z mainframe. Instead of etcd, I choose Postgres as my storage for my K3s clusters. I deployed Postgres in non HA mode.

Calico v3.23 is out, and with it a lot of new features! This release marks a long-awaited milestone for me and my team, as it includes the Calico VPP data plane (beta). So now seems to be a good time to reflect on what this integration actually is, and why we built it.

After two years of virtual editions, KubeCon + CloudNativeCon Europe returned as a hybrid event, with its in-person portion held in Valencia, Spain, from May 16-20. As platinum sponsors of this year’s conference, Datadog held a booth where we showcased the latest updates to our Kubernetes monitoring solution, including the new Kubernetes resources overview, improved OpenTelemetry support, and the latest version of the Datadog Operator for Kubernetes.

One of the best things about Kubernetes is just how absurdly flexible it is. You, as an admin, can shape what gets deployed into what is the best for your business. Whether this is a basic webapp with just a deployment, service and ingress; or if you need all sorts of features with sidecars and network policies wrapping the serverless service-mesh platform of the day. The power is there.