In this year’s report, we see how organizations are using containers not just to solve their day-to-day infrastructure needs. Rather, customers are exploring the next technology frontier of containers by building next-generation applications, enhancing developer productivity, and optimizing costs.

For many developers and engineers, Kubernetes is the de facto choice for container orchestration. That’s primarily because of its efficiency in handling and scaling container workloads. However, the complexity of managing nodes in a Kubernetes cluster can cause recurring headaches for even the most experienced and skilled IT teams. This is where `kubectl cordon` comes into play.

KubeCon + CloudNativeCon North America 2023 is just around the corner, and the OSS and cloud native community is eagerly anticipating the event, which will take place November 6 - 9 in Chicago.

The journey to selecting a container platform is a fun and exciting time in any organization. Container technology abstracts away so many problems from cloud 1.0 VM based approach, and puts engineering teams back in the distributed drivers seat. As containers continue to mature and adoption becomes ubiquitous, there are many lessons to learn and ideas to consider before inevitably choosing Cycle. Let's take a look at Cycle alongside the other types of container platforms.

Kubernetes has become the de facto standard for container orchestration, enabling organizations to deploy, scale, and manage containerized applications with ease. However, ensuring the reliability, performance, and security of applications running in a Kubernetes environment requires robust monitoring and observability solutions.

In our continuous journey to support teams grappling with the complexities of Kubernetes environments, we’re thrilled to announce the launch of Honeycomb for Kubernetes, a dedicated solution designed to bridge the growing divide between infrastructure/platform teams and application developers. This is available to all plans (including Free!) at no additional cost.

Do you find yourself lying awake late at night, worried that your greatest observability fears will materialize as one of the most horrific specters of Kubernetes-driven chaos reaches up through your mattress to consume your very soul?