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  1. Have you heard the news? Charmed Kubeflow 1.8 is available in Beta. Kubeflow is the foundation of Canonical MLOps. The latest release brings improved capabilities to personalise different components of the platform, including the images that can be used in Notebooks. We are looking for data scientists, machine learning engineers, creators and AI enthusiasts to take Charmed Kubeflow 1.8 Beta for a test drive and share their feedback with us... View the full article
  2. GitOps has continued in its popularity and has become the standard way to manage Kubernetes cluster configuration and applications. Red Hat continues to see the widespread adoption of the GitOps methodology across our portfolio as customers look for ways to bring increased efficiency to their operations and development teams. View the full article
  3. In this post, we’ll illustrate an enterprise IT scenario in which VPCs are overseen by a central network team, including configuration of VPC resources such as IP allocation, route policies, internet gateways, NAT gateways, security groups, peering, and on-premises connectivity. The network account, which serves as the owner of the centralized VPC, shares subnets with a participant application account managed by a platform team, both of which are part of the same organization. In this use case, the platform team owns the management of Amazon EKS cluster. We’ll also cover the key considerations of using shared subnets in Amazon EKS... View the full article
  4. Kubernetes has two base node roles: supervisors and workers. A cluster may have additional roles derived from the “worker” role based on their unique infrastructure characteristics (e.g., type of CPU, NICs, GPUs, FPGAs, etc.) or the applications they run (e.g., infrastructure services, developers, development team, etc.). The supervisor nodes comprise the Kubernetes control plane, which hosts components that make cluster-level decisions. These include scheduling, responding to nodes' events, storing artifacts of all cluster-level objects from application manifests and ServiceAccounts definitions to Secrets and extensions to Kubernetes APIs in the form of CustomResourceDefinitions, and much more. View the full article
  5. At some point during the OpenShift deployment phase, a question about project onboarding comes up, "How can a new customer or tenant be onboarded so they can deploy their own workload onto the cluster(s)?" While there are different ways from a process perspective (Service Now, Jira, etc.), I focus on the Kubernetes objects that must be created on each cluster. In A Guide to GitOps and Argo CD with RBAC, I described setting up GitOps RBAC rules so tenants can work with their (and only their) projects. This article demonstrates another possibility for deploying per tenant and per cluster ... View the full article
  6. After a service upgrade the pods are taking too long to serve traffic. What would you need to find out to debug? 1. The validating webhook for pods has failed 2. The cluster doesn’t have enough CPU/memory to schedule the pod to a node 3. The new code added an init container and the init […] View the full article
  7. The Amazon Elastic Kubernetes Service (Amazon EKS) team is pleased to announce support for Kubernetes version 1.28 for Amazon EKS and Amazon EKS Distro. Amazon EKS Anywhere (release 0.18.0) also supports Kubernetes 1.28. The theme for this version was chosen as a play on words that combines plant and Kubernetes to evoke the image of a garden. Hence, the fitting release name, Planternetes. In their official release announcement, the Kubernetes release team said this of the release, “people behind this release come from a wide range of backgrounds.” View the full article
  8. What a journey so far! Starting from the initial blog post “How we made Kubernetes insanely easy to install” in September 2016, followed by an exciting growth that lead to general availability / “Production-Ready Kubernetes Cluster Creation with kubeadm” two years later. And later on a continuous, steady and reliable flow of small improvements that is still going on as of today... View the full article
  9. A GitOps tool like Argo CD can help centralize the automation, installation, and configuration of services onto multiple Kubernetes clusters. Rather than apply changes using a Kubernetes CLI or CI/CD, a GitOps workflow detects changes in version control and applies the changes automatically in the cluster. You can use a GitOps workflow to deploy and manage changes to a Consul cluster, while orchestrating the configuration of Consul service mesh for peering, network policy, and gateways. This approach to managing your Consul cluster and configuration has two benefits. First, a GitOps tool handles the order-of-operations and automation of cluster updates before configuration updates. Second, your Consul configuration uses version control as a source of truth that GitOps enforces across multiple Kubernetes clusters. This post demonstrates a GitOps workflow for deploying a Consul cluster, configuring its service mesh, and upgrading its server with Argo CD. Argo CD annotations for sync waves and resource hooks enable orchestration of Consul cluster deployment followed by service mesh configuration with Custom Resource Definitions (CRDs). Updating a Consul cluster on Kubernetes involves opening a pull request with changes to Helm chart values or CRDs and merging it. Argo CD synchronizes the configuration to match version control and handles the order of operations when applying the changes... View the full article
  10. MicroShift is a minimal k8s (Kubernetes) distro, which runs preferably on ostree-based deployments. Ostree is great for edge deployment as it enables immutable (read-only) operating systems, transactional updates, over-the-air delta updates and more. Ostree tooling can ingest artifacts like rpm packages, container images, and OS customizations such as users and services. Adding MicroShift to this is easy and well documented, as MicroShift itself is made out of rpm packages and container images. View the full article
  11. The kubeadm tool now supports etcd learner mode, which allows you to enhance the resilience and stability of your Kubernetes clusters by leveraging the learner mode feature introduced in etcd version 3.4. This guide will walk you through using etcd learner mode with kubeadm. By default, kubeadm runs a local etcd instance on each control plane node. In v1.27, kubeadm introduced a new feature gate EtcdLearnerMode. With this feature gate enabled, when joining a new control plane node, a new etcd member will be created as a learner and promoted to a voting member only after the etcd data are fully aligned... View the full article
  12. Having OpenShift (or Kubernetes) cluster nodes able to learn routes via BGP is a popular ask. View the full article
  13. Today, we are excited to announce that Amazon EMR on EKS now supports managed Apache Flink, available in public preview. With this launch, customers who already use EMR can run their Apache Flink application along with other types of applications on the same Amazon EKS cluster, helping improve resource utilization and simplify infrastructure management. For customers who already run big data frameworks on Amazon EKS, they can now let Amazon EMR automate provisioning and management. View the full article
  14. Amazon GuardDuty announces a new capability in GuardDuty EKS Runtime Monitoring that allows you to selectively configure which Amazon Elastic Kubernetes Service (Amazon EKS) clusters are to be monitored for threat detection. Previously, configurability was at the account level only. With this added cluster-level configurability, customers can now selectively monitor EKS clusters for threat detection or continue to use account level configurability to monitor all EKS clusters in a given account and region. View the full article
  15. We are excited to announce support for Amazon Linux 2023 (AL2023) on Amazon EMR on EKS. Customers can now use AL2023 as the operating system together with Java 17 as Java runtime to run Spark workloads on Amazon EMR on EKS. This provides customers a secure, stable, high-performance environment to develop and run their applications as well as enables them to access the latest enhancements such as kernel, toolchain, glibc, openssl and other system libraries and utilities. View the full article
  16. Kubernetes v1.25 introduced support for user namespaces for only stateless pods. Kubernetes 1.28 lifted that restriction, after some design changes were done in 1.27. The beauty of this feature is that: it is trivial to adopt (you just need to set a bool in the pod spec) doesn't need any changes for most applications improves security by drastically enhancing the isolation of containers and mitigating CVEs rated HIGH and CRITICAL. This post explains the basics of user namespaces and also shows: the changes that arrived in the recent Kubernetes v1.28 release a demo of a vulnerability rated as HIGH that is not exploitable with user namespaces the runtime requirements to use this feature what you can expect in future releases regarding user namespaces. View the full article
  17. The Kubernetes development cycle is an evolving landscape with a myriad of tools seeking to streamline the process. Each tool has its unique approach, and the choice often comes down to individual project requirements, the team's expertise, and the preferred workflow. Among the various solutions, a category we dubbed “Local K8S Development tools” has emerged, which seeks to enhance the Kubernetes development experience by connecting locally running components to the Kubernetes cluster. This facilitates rapid testing of new code in cloud conditions, circumventing the traditional cycle of Dockerization, CI, and deployment. In this post, we compare three solutions in this category: Telepresence, Gefyra, and our own contender, mirrord... View the full article
  18. Today, we’re excited to announce the native support for enforcing Kubernetes network policies with Amazon VPC Container Networking Interface (CNI) Plugin. You can now use Amazon VPC CNI to implement both pod networking and network policies to secure the traffic in your Kubernetes clusters. Native support for network policies has been one of the most requested features on our containers roadmap... View the full article
  19. While AWS ECS and EKS serve a similar purpose, they have several fundamental differences. Here's what you should know. View the full article
  20. Since Kubernetes Monitoring launched in Grafana Cloud last year, we have introduced highly customizable dashboards and powerful analytics features. We’ve also focused on how to make monitoring and managing resource utilization within your fleet easier and more efficient. But what’s an easy way to add resources to your cluster while using Kubernetes Monitoring? ArgoCD has become the established tool for implementing GitOps […] View the full article
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  22. This post demonstrates a proof-of-concept implementation that uses Kubernetes to execute code in response to an event. View the full article
  23. This post describes how to use Amazon Cognito to authenticate users for web apps running in an Amazon Elastic Kubernetes Services (Amazon EKS) cluster. View the full article
  24. We are excited to announce that Amazon EMR on EKS now supports programmatic execution of Jupyter notebooks when running interactive workloads via managed endpoints. Amazon EMR on EKS enables customers to run open-source big data frameworks such as Apache Spark on Amazon EKS. Amazon EMR on EKS customers can setup and use a managed endpoint (available in preview) to run interactive workloads using integrated development environments (IDEs) such as EMR Studio. View the full article
  25. Understand the benefits of using Kubernetes or AWS ECS. Understand how they're different, and find out which tool is best for your situation. MetricFire can answer your questions about both Kubernetes and AWS ECS. View the full article
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