The latest News and Information on Containers, Kubernetes, Docker and related technologies.
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.
In this tutorial, you’ll see how to deploy Solr on Kubernetes. You’ll also see how to use the Solr Operator to autoscale a SolrCloud cluster based on CPU with the help of the Horizontal Pod Autoscaler. Let’s get going! 🙂
An advanced, open-source technology called Kubernetes is used to manage, scale and deploy containerised applications automatically. Kubernetes offers a strong architecture that enables development and operations teams to effectively manage applications of several containers. Kubernetes was made by Google engineers. They shared it for free in 2014, and now a group called CNCF takes care of Kubernetes. People really like using Kubernetes to manage apps inside containers.
Containers and microservices have revolutionized the way applications are deployed on the cloud. Since its launch in 2014, Kubernetes has become a de-facto standard as a container orchestration tool. Helm is a package manager for Kubernetes that makes it easy to install and manage applications on your Kubernetes cluster. One of the benefits of using Helm is that it allows you to package all of the components required to run an application into a single, versioned artifact called a Helm chart.
You’ve loaded data into Densify and after reviewing recommendations your developers don’t want to take the recommended action – they aren’t trusting, yet. This is one of the top issues identified by the FinOps Foundation and many of our customers of Densify – but not all. Let’s explore what some customers do differently to build organizational trust in taking optimization recommendations.
In the ever-evolving landscape of software development, where agility and reliability are paramount, Kubernetes has emerged as a game-changer with its container orchestration capabilities. However, as applications become more complex and distributed, managing Kubernetes workflows presents a unique set of challenges.
