The latest News and Information on Containers, Kubernetes, Docker and related technologies.
Kubernetes v1.28 comes with multiple new enhancements this year and we’ve already covered an overview of those in our previous blog, Do check this out before diving into sidecar containers. We’re going to completely focus on the new sidecar feature for this post, which enables restartable init containers and is available in alpha in Kubernetes 1.28.
In today’s fast-paced digital landscape, where software development and deployment happen at lightning speed, DevOps has emerged as the key to achieving operational excellence and maintaining a competitive edge. DevOps is more than just a buzzword; it’s a culture, a set of practices, and a collection of powerful tools that streamline collaboration between development and operations teams.
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.
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.
