Managing a Kubernetes cluster requires a keen eye for detail and a deep understanding of its complex structure. To ensure smooth operation of your applications and optimal performance, it is vital to monitor a wide range of metrics across the different components of your cluster. In this article, we will discuss key metrics that can be used to monitor both self-managed and cloud-managed Kubernetes environments, helping you to keep your cluster running at its best.

The world of DevOps is constantly evolving and adapting to the needs of the software development industry. With the increasing demand for faster and more efficient software delivery, organizations are turning to modern technologies and practices to help them meet these challenges. In a series of articles on the Kublr blog, we will take a look at some of today’s top DevOps trends.

We are excited to announce the launch of gopaddle, the Low-Code Internal Developer Platform, as a community addon for MicroK8s edge cloud. This addon will help Kubernetes developers accelerate the development of distributed applications at the edge. In today’s fast-paced business landscape, the ability to quickly and efficiently develop new applications is critical to success.

As an open-source container management system, the Kubernetes (commonly referred to as K8s) platform’s constant growth warrants an intricate cluster network, making it challenging to gain system-wide visibility. Even a tiny disruption within the network could collapse the entire operation, resulting in the failure of dependent applications. Businesses that rely on such containerized applications may experience a huge impact in revenue.