In our last installment, we covered the myriad of new UI changes added to Cycle’s portal. In this part, we walk through five of the tough engineering choices made when developing the new interface, discussing the alternatives that were considered, and shining a light on some of the technology our engineering team utilizes today.

Starting with Argo CD 2.4, creating config management plugins or CMPs via configmap has been deprecated, with support fully removed in Argo CD 2.8. While many folks have been using their own config management plugins to do things like `kustomize –enable-helm`, or specify specific version of Helm, etc – most of these seem to have not noticed the old way of doing things has been removed until just now!

The latest release of the D2iQ Kubernetes Platform (DKP) represents yet another significant boost to DKP’s multi-cloud and multi-cluster management capabilities. D2iQ Kubernetes Platform (DKP) 2.6 features the new DKP AI Navigator, an AI assistant that enables DevOps to more easily manage Kubernetes environments. As Forbes noted in Addressing the Kubernetes Skills Gap, “The Kubernetes skills shortage is impacting companies across sectors.”

Most vendor trials take quite a bit of effort and time. Now, with Mezmo’s new Welcome Pipeline, you can get results with your Kubernetes telemetry data in just a couple of minutes. But first, let’s discuss why Kubernetes data is such a challenge, and then we’ll overview the steps.

The OpenTelemetry Collector is a useful application to have in your stack. However, deploying it has always felt a little time consuming: working out how to host the config, building the deployments, etc. The good news is the OpenTelemetry team also produces Helm charts for the Collector, and I’ve started leveraging them. There are a few things to think about when using them though, so I thought I’d go through them here.

Gremlin's Detected Risks feature immediately detects any high-priority reliability concerns in your environment. These can include misconfigurations, bad default values, or reliability anti-patterns. A common risk is deploying Pods without setting a CPU request. While it may seem like a low-impact, low-severity issue, not using CPU requests can have a big impact, including preventing your Pod from running.

Since its inception, Amazon Elastic Container Service (ECS) has emerged as a strong choice for developers aiming to efficiently deploy, manage, and scale containerized applications on AWS cloud. By abstracting the complexities associated with container orchestration, ECS allows teams to focus on application development, while handling the underlying infrastructure, load balancing, and service discovery requirements.