In the beginning, cloud cost savings were the focus for Spot. As we grew, our customers helped us understand that cloud cost reduction is just one of the many challenges they face when operating in the public cloud. Spot by NetApp has since invested in and developed multiple solutions that can promote FinOps best practices and equip DevOps with comprehensive infrastructure automation and optimization solutions for VMs and containers.

Service Meshes have been gaining a lot of popularity lately, more so amongst Spring and Java developers who wish to address cross cutting concerns. But, are you wondering what exactly are Service Meshes? What are some of the popular types out there? And most importantly, what kind of problems do they actually solve? Well, look no further! This blog is here to provide you with the answers you seek.

Fleet, also known as “Continuous Delivery” in Rancher, deploys application workloads across multiple clusters. However, most applications need configuration and credentials. In Kubernetes, we store confidential information in secrets. For Fleet’s deployments to work on downstream clusters, we need to create these secrets on the downstream clusters themselves.

As the latest surveys show, organizations are struggling to manage multiple clouds and to realize the expected benefits of moving to the cloud. In the Flexera 2023 State of the Cloud Report, for example, enterprises cited managing cloud spend and managing multi-cloud environments as their top cloud challenges. The root of these problems can be traced to cloud and cluster sprawl and the complexity of managing Kubernetes.

Before attending Icinga Berlin in May this year, Daniel Bodky and Markus Opolka from our partner NETWAYS developed the very first Icinga Kubernetes Helm Charts and released it in an alpha version. If you have ever wanted to deploy an entire Icinga stack in your Kubernetes cluster, now is your chance. I also want to highlight Daniel’s talk again on how Icinga can run on Kubernetes and the challenges involved.

The world of DevOps is constantly evolving and adapting to the needs of the software development industry. With the increasing demand for faster and more efficient software delivery, organizations are turning to modern technologies and practices to help them meet these challenges. In a series of articles on the Kublr blog, we will take a look at some of today’s top DevOps trends.

In this article, we will deploy a clustered Prometheus setup that integrates Thanos. It is resilient against node failures and ensures appropriate data archiving. The setup is also scalable. It can span multiple Kubernetes clusters under the same monitoring umbrella. Finally, we will visualize and monitor all our data in accessible and beautiful Grafana dashboards.

Kubernetes has emerged as the go-to platform for container orchestration, empowering organizations to efficiently deploy and manage applications at scale. As the demands on applications continue to grow, scaling Kubernetes becomes essential to ensure high availability, optimal performance, and seamless expansion. Today, we will delve into the intricacies of scaling Kubernetes on AWS, exploring best practices, popular tools, performance optimization strategies, cost considerations, and future trends.

Have you heard about eBPF? It’s the technology that’s set to transform the Kubernetes landscape. In this article, we’ll explore what eBPF is and why it’s poised to become the next big thing in Kubernetes. But here’s the catch – despite its game-changing potential, it seems that few people are truly aware of its impact. Let’s delve into the details and discover why you should care.

Amazon Elastic Kubernetes Service (Amazon EKS) is a system that makes it easier to run Kubernetes on AWS and on-premises. This managed AWS Kubernetes service scales, manages, and deploys containerized applications. Through EKS, you can run Kubernetes without installing or operating a control plane or worker nodes — significantly simplifying Kubernetes deployment on AWS. So what does it all mean?