To support Windows application development with a container (e.g. NET, PowerShell, etc.), we should build the Windows worker node to support the application running on top of it.
To be honest, I think the Windows container needs more time to mature before it can provide a lightweight design and base image to make it more efficient. However, if you want to see a trial, you can follow the steps below to set up a worker node and application on top of AWS EKS.
Kubernetes clusters must be up and running with at least one Linux-based worker node to run the core system:
eksctl should be installed to support worker node creation.
See Kubernetes’ documentation and eksctl on GitHub to learn more.
Install the VPC resource controller and admission webhook via
eksctl to enable Windows support:
## Change CLUSTER_NAME to your EKS Cluster eksctl utils install-vpc-controllers --cluster [CLUSTER_NAME] --approve
As noted in the Amazon EKS docs, you can also use another approach to enable Windows support.
#docker #aws #aws-eks #kubernetes
Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.
According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.
And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.
#blog #tools #amazon elastic kubernetes service #application security #aws kms #botkube #caylent #cli #container monitoring #container orchestration tools #container security #containers #continuous delivery #continuous deployment #continuous integration #contour #developers #development #developments #draft #eksctl #firewall #gcp #github #harbor #helm #helm charts #helm-2to3 #helm-aws-secret-plugin #helm-docs #helm-operator-get-started #helm-secrets #iam #json #k-rail #k3s #k3sup #k8s #keel.sh #keycloak #kiali #kiam #klum #knative #krew #ksniff #kube #kube-prod-runtime #kube-ps1 #kube-scan #kube-state-metrics #kube2iam #kubeapps #kubebuilder #kubeconfig #kubectl #kubectl-aws-secrets #kubefwd #kubernetes #kubernetes command line tool #kubernetes configuration #kubernetes deployment #kubernetes in development #kubernetes in production #kubernetes ingress #kubernetes interfaces #kubernetes monitoring #kubernetes networking #kubernetes observability #kubernetes plugins #kubernetes secrets #kubernetes security #kubernetes security best practices #kubernetes security vendors #kubernetes service discovery #kubernetic #kubesec #kubeterminal #kubeval #kudo #kuma #microsoft azure key vault #mozilla sops #octant #octarine #open source #palo alto kubernetes security #permission-manager #pgp #rafay #rakess #rancher #rook #secrets operations #serverless function #service mesh #shell-operator #snyk #snyk container #sonobuoy #strongdm #tcpdump #tenkai #testing #tigera #tilt #vert.x #wireshark #yaml
Kubernetes is a highly popular container orchestration platform. Multi cloud is a strategy that leverages cloud resources from multiple vendors. Multi cloud strategies have become popular because they help prevent vendor lock-in and enable you to leverage a wide variety of cloud resources. However, multi cloud ecosystems are notoriously difficult to configure and maintain.
This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.
Maintaining standardized application deployments becomes more challenging as your number of applications and the technologies they are based on increase. As environments, operating systems, and dependencies differ, management and operations require more effort and extensive documentation.
In the past, teams tried to get around these difficulties by creating isolated projects in the data center. Each project, including its configurations and requirements were managed independently. This required accurately predicting performance and the number of users before deployment and taking down applications to update operating systems or applications. There were many chances for error.
Kubernetes can provide an alternative to the old method, enabling teams to deploy applications independent of the environment in containers. This eliminates the need to create resource partitions and enables teams to operate infrastructure as a unified whole.
In particular, Kubernetes makes it easier to deploy a multi cloud strategy since it enables you to abstract away service differences. With Kubernetes deployments you can work from a consistent platform and optimize services and applications according to your business needs.
The Compelling Attributes of Multi Cloud Kubernetes
Multi cloud Kubernetes can provide multiple benefits beyond a single cloud deployment. Below are some of the most notable advantages.
In addition to the built-in scalability, fault tolerance, and auto-healing features of Kubernetes, multi cloud deployments can provide service redundancy. For example, you can mirror applications or split microservices across vendors. This reduces the risk of a vendor-related outage and enables you to create failovers.
#kubernetes #multicloud-strategy #kubernetes-cluster #kubernetes-top-story #kubernetes-cluster-install #kubernetes-explained #kubernetes-infrastructure #cloud
On-demand cloud computing brings new ways to ensure scalability and efficiency. Rather than pre-allocating and managing certain server resources or having to go through the usual process of setting up a cloud cluster, apps and microservices can now rely on on-demand serverless computing blocks designed to be efficient and highly optimized.
Amazon Elastic Kubernetes Service (EKS) already makes running Kubernetes on AWS very easy. Support for AWS Fargate, which introduces the on-demand serverless computing element to the environment, makes deploying Kubernetes pods even easier and more efficient. AWS Fargate offers a wide range of features that make managing clusters and pods intuitive.
As with many other AWS services, using Fargate to manage Kubernetes clusters is very easy to do. To integrate Fargate and run a cluster on top of it, you only need to add the command –fargate to the end of your eksctl command.
EKS automatically configures the cluster to run on Fargate. It creates a pod execution role so that pod creation and management can be automated in an on-demand environment. It also patches coredns so the cluster can run smoothly on Fargate.
A Fargate profile is automatically created by the command. You can choose to customize the profile later or configure namespaces yourself, but the default profile is suitable for a wide range of applications already, requiring no human input other than a namespace for the cluster.
There are some prerequisites to keep in mind though. For starters, Fargate requires eksctl version 0.20.0 or later. Fargate also comes with some limitations, starting with support for only a handful of regions. For example, Fargate doesn’t support stateful apps, DaemonSets or privileged containers at the moment. Check out this link for Fargate limitations for your consideration.
Support for conventional load balancing is also limited, which is why ALB Ingress Controller is recommended. At the time of this writing, Classic Load Balancers and Network Load Balancers are not supported yet.
However, you can still be very meticulous in how you manage your clusters, including using different clusters to separate trusted and untrusted workloads.
Everything else is straightforward. Once the cluster is created, you can begin specifying pod execution roles for Fargate. You have the ability to use IAM console to create a role and assign it to a Fargate cluster. Or you can also create IAM roles and Fargate profiles via Terraform.
#aws #blog #amazon eks #aws fargate #aws management console #aws services #kubernetes #kubernetes clusters #kubernetes deployment #kubernetes pods
Hi everyone! With this article, we go deep with the Kubernetes Series. In the previous articles, I have shared with you a brief introduction to Kubernetes and showed the most common Docker parts used for Kubernetes.Today I want to show you 2 ways to setup a local Kubernetes cluster, that is the base you must have to start working with Kubernetes. These ways are the following :
#containers #kubernetes #clustering #cloud #kubernetes cluster
Advanced Kubernetes [Refcard Update]
Kubernetes is a distributed cluster technology that manages container-based systems in a declarative manner using an API. There are currently many learning resources to get started with the fundamentals of Kubernetes, but there is less information on how to manage Kubernetes infrastructure on an ongoing basis. This Refcard aims to deliver quick, accessible information for operators using any Kubernetes product.
Managing Kubernetes: From a Small Fleet to a Navy of Clusters
To keep pace with the ever-changing digital landscape, organizations are adopting open source and cloud native technologies at an incredible pace. But as the number of clusters and workloads grow, it can become increasingly difficult to know where clusters exist and how they are performing. And if multiple teams are provisioning and using clusters with different policies, roles, and configurations, you might as well jump ship. Because before you know it, you’ll begin to experience cluster sprawl, and your multi-cluster operations will potentially capsize before you reach shore. So how do you effectively monitor and manage disparate clusters and contain the chaos of sprawl?
In this eBook, you’ll learn:
Forrester Report: Leveraging Production Kubernetes for Digital Transformation in the Enterprise
Forrester Has Named D2iQ as a Strong Performer in The Forrester Wave™: Multicloud Container Development Platforms, Q3 2020
In this report, Forrester assesses emerging multi-cloud container development platform providers, and identifies the top vendors in the market.
The Forrester Wave™ report states that D2iQ “focuses on simplifying open source cloud-native operations.” The D2iQ Kubernetes Platform provides you with a differentiated approach and unique set of enterprise grade technologies and expert services, training, and support offerings to ensure Day 2 operational success.
Six Steps to Comprehensive Container Security
An application or service that you develop once to run in multiple clouds has a clear advantage over one that is bound to a single OS or runtime environment. Container technology makes it possible, but container security vulnerabilities are beginning to surface. We describe 6 steps you can take to ensure that container security doesn’t become a DevOps roadblock.
#kubernetes #containers #cloud-native #container security #cluster management #kubernetes cluser #forrester wave