I am thrilled to announce that SUSE has been recognized by G2, the world’s largest and most trusted software marketplace, as one of the Top 25 German Companies in their “Best Software Awards” for 2023. At SUSE, we have always been dedicated to providing our customers with the best possible software solutions and services. This award by G2 is a testament to the hard work and dedication of our entire team.

Kubernetes is a powerful platform that comes with many features to help engineers run their applications more efficiently. However, as you gain more experience and deploy more workloads, you’ll inevitably start looking for ways to optimize Kubernetes performance. There are many ways to approach optimization. On one hand, you could work exclusively with the tools and configurations provided by Kubernetes itself; on the other, you could reap the benefits of third-party tools.

Kubernetes has come a long way, but the current state of Kubernetes open source monitoring is in need of improvement. This is in part due to the issues related to an unnecessary volume of data related to that monitoring. For example, a 3-node Kubernetes cluster with Prometheus will ship around 40,000 active series by default. Do we really need all that data?

Companies face multiple challenges when migrating their applications and services to the cloud, and one of them is infrastructure management. The ideal scenario would be that all workloads could be containerized. In that case, the organization could use a Kubernetes-based service, like Amazon Web Services (AWS), Google Cloud or Azure, to deploy and manage applications, services and storage in a cloud native environment. Unfortunately, this scenario isn’t always possible.

Hey there, Qovery users! We hope you're doing well. We've got some big news to share with you today about the cloud service providers available on our platform.

As the movement to the cloud has grown, so has the use of containers as an effective way to package, distribute, and deploy applications. As surveys show, Kubernetes is the most widely used orchestration engine for managing cloud-native containers. Kubernetes automates deployment, auto-scaling, resource optimization, backup and recovery, and enables containers to run across different environments, eliminating the need to develop separate versions for each operating environment.

This blog will cover what the Calico/VPP dataplane is and demonstrate the performance and flexibility advantages of using the VPP dataplane through a benchmarking setup. By the end of this blog post, you will have a clear understanding of how Calico/VPP dataplane, with the help of DPDK and accelerated memif interfaces, can provide high throughput and low-latency Kubernetes cluster networking for your environment.

This post was co-written by Kirti Apte and Gabry (Maria Gabriella) Brodi. Over the last couple of years, customers have been adopting Kubernetes and microservice-based application deployment models for various technology and business reasons. In fact, there is a trend that customers are now looking to the next set of use cases that include applications across multiple clouds, as well as edge clouds.

Creating effective Continuous Integration pipelines is a daunting task that requires combining knowledge from different areas. At Codefresh we have always strived for a fast feedback loop between both customers and prospects in regards to pipeline speed and simplicity. We always want to improve the onboarding process for everybody regardless of their position in the cloud native journey.