Amazon Elastic Kubernetes Service (EKS) is a managed container service designed to deploy and scale cloud-based or on-premise Kubernetes applications. AWS released EKS Blueprints to provide customers with a framework for creating internal development platforms on EKS.

The latest version of the Splunk Operator builds upon the release we made last year with a whole host of new features and fixes. We like Kubernetes for Splunk since it allows us to automate away a lot of the Splunk Administrative toil needed to set up and run distributed environments. It also brings a resiliency and ease of scale to our heavy-lifting components like Search Heads and Indexer Clusters.

Another post inspired by our weekly internal enablement office hours [should we open this up to the public?] and a few conversations at DevOps Days Atlanta, talking about the experience with Kubernetes can reverberate some sighs. Though in our weekly enablement office hours, the blunt question was asked “well why is Kubernetes so difficult?”. Industry thought leaders would state that Kubernetes is a platform to build other platforms.

During the past two weeks, our Frontend and Backend teams were busy bees 🐝 with a particular sprint dedicated to bug hunting �� and improvements! Yes, both of the two weeks sprints were dedicated to bugs and improvements ONLY: tracking them, then solving them; gotta catch ‘em all 🚀

Containers are great for developers, but containers are also an excellent way to create reproducible, secure, and portable applications. Applications can be deployed reliably and migrated to multiple computing environments quickly using containers. It could be the developer's laptop to the testing environment or staging to the production environment. To use Dockers, Kubernetes, etc., it has been necessary to build containers.

The latest Kubernetes release, 1.24, is about to be made generally available. Today, the community announced the availability of the 1.24 release candidate. Developers, DevOps and other cloud and open source enthusiasts who want to experiment with the latest cutting edge K8s features can already do so easily with MicroK8s.

Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that makes it easy for you to deploy, manage and scale containerized applications. Although ECS is a managed service and hides many complexities under the hood, there have been many cases where startups have not been able to take full advantage of ECS due to slow deployments. In this article, we will share some tips to improve deployment speed on ECS. We will try to cover both EC2 tasks and Fargate tasks.

Most organizations realize that application modernization is essential in order to thrive in the digital age, but the process of modernizing can be highly complex and difficult to execute. Factors such as rapidly growing application volume, diversity of app styles and architectures, and siloed infrastructure can all contribute to the challenging nature of modernization. To add to this complexity, there are multiple ways to go about modernizing each individual application.

In the era of Microservices, Cloud Computing and Serverless architecture, it’s useful to understand Kubernetes and learn how to use it. However, the official Kubernetes documentation can be hard to decipher, especially for newcomers. In this blog series, I will present a simplified view of Kubernetes and give examples of how to use it for deploying microservices using different cloud providers, including Azure, Amazon, Google Cloud and even IBM.