eksctl | helm | |
---|---|---|
59 | 206 | |
4,791 | 26,045 | |
0.9% | 0.5% | |
9.5 | 8.9 | |
3 days ago | 8 days ago | |
Go | Go | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
eksctl
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Auto-scaling DynamoDB Streams applications on Kubernetes
There are a variety of ways in which you can create an Amazon EKS cluster. I prefer using eksctl CLI because of the convenience it offers. Creating an an EKS cluster using eksctl, can be as easy as this:
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How to migrate Apache Solr from the existing cluster to Amazon EKS
There are many ways to create a cluster such as using eksctl. In my case, I will use terraform module cause it’s easy to reuse and comprehend.
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Ultimate EKS Baseline Cluster: Part 1 - Provision EKS
eksctl [eksctl] is the tool that can provision EKS cluster as well as supporting VPC network infrastructure.
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[AWS] EKS vs Self managed HA k3s running on 1x2 ec2 machines, for medium production workload
For this and many other reasons I recommend doing everything in Terraform EXCEPT EKS and its node groups. For that, I use https://eksctl.io/ because it much better manages the lifecycle of EKS and your node groups. I have an blog article better explaining why I recommend it, and another blog article explaining how to do zero-downtime upgrades with EKSCTL.
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Automating Kong API Gateway deployment with Flux
eksctl
- Export a docker container to a VPC in AWS and exposing it publicly through a loadbalancer
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Anybody using spot instances for worker nodes?
Second, make sure you create a spot instance group that attempts to launch MULTIPLE different instance types. This way if one instance type gets flushed, your autoscaler will kick in and launch a different type. Without this, you WILL HAVE DOWNTIME if a sudden price hike and flush occurs. If you're using eksctl I have example configurations that use multi-instance types on Github here.
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Use AWS Controllers for Kubernetes to deploy a Serverless data processing solution with SQS, Lambda and DynamoDB
There are a variety of ways in which you can create an Amazon EKS cluster. I prefer using eksctl CLI because of the convenience it offers. Creating an an EKS cluster using eksctl, can be as easy as this:
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strategy to upgrade eks cluster
I've written an article on this, with my recommended tool for managing eks EKSCTL.
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Bootstrapping Kubernetes Cluster with CloudFormation
--- AWSTemplateFormatVersion: '2010-09-09' Parameters: VpcId: Type: AWS::EC2::VPC::Id Description: ID of the VPC in which to create the Kubernetes cluster SubnetIds: Type: List Description: List of Subnet IDs in which to create the Kubernetes cluster KeyPairName: Type: AWS::EC2::KeyPair::KeyName Description: Name of the EC2 Key Pair to use for SSH access to worker nodes ClusterName: Type: String Description: Name of the Kubernetes cluster to create Resources: ControlPlaneSecurityGroup: Type: AWS::EC2::SecurityGroup Properties: VpcId: !Ref VpcId GroupDescription: Allow inbound traffic to the Kubernetes control plane SecurityGroupIngress: - IpProtocol: tcp FromPort: 22 ToPort: 22 CidrIp: 0.0.0.0/0 WorkerNodeSecurityGroup: Type: AWS::EC2::SecurityGroup Properties: VpcId: !Ref VpcId GroupDescription: Allow inbound traffic to Kubernetes worker nodes SecurityGroupIngress: - IpProtocol: tcp FromPort: 22 ToPort: 22 CidrIp: 0.0.0.0/0 ControlPlaneInstanceProfile: Type: AWS::IAM::InstanceProfile Properties: Roles: - !Ref ControlPlaneRole ControlPlaneRole: Type: AWS::IAM::Role Properties: AssumeRolePolicyDocument: Version: '2012-10-17' Statement: - Effect: Allow Principal: Service: - ec2.amazonaws.com Action: - sts:AssumeRole ManagedPolicyArns: - arn:aws:iam::aws:policy/AmazonEKSClusterPolicy - arn:aws:iam::aws:policy/AmazonEKSServicePolicy ControlPlaneInstance: Type: AWS::EC2::Instance Properties: ImageId: ami-0b69ea66ff7391e80 InstanceType: t2.micro KeyName: !Ref KeyPairName NetworkInterfaces: - DeviceIndex: 0 AssociatePublicIpAddress: true GroupSet: - !Ref ControlPlaneSecurityGroup SubnetId: !Select [0, !Ref SubnetIds] IamInstanceProfile: !Ref ControlPlaneInstanceProfile UserData: Fn::Base64: !Sub | #!/bin/bash echo 'net.bridge.bridge-nf-call-iptables=1' | tee -a /etc/sysctl.conf sysctl -p yum update -y amazon-linux-extras install docker -y service docker start usermod -a -G docker ec2-user curl -o /usr/local/bin/kubectl https://amazon-eks.s3.us-west-2.amazonaws.com/1.21.2/2021-07-05/bin/linux/amd64/kubectl chmod +x /usr/local/bin/kubectl echo 'export PATH=$PATH:/usr/local/bin' >> /etc/bashrc curl --silent --location "https://github.com/weaveworks/eksctl/releases
helm
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Kubernetes CI/CD Pipelines
Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster.
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deploying a minio service to kubernetes
helm
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How to take down production with a single Helm command
Explanation here: https://github.com/helm/helm/issues/12681#issuecomment-19593...
Looks like it's a bug in Helm, but actually isn't Helm's fault, the issue was introduced by Fedora Linux.
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Building a VoIP Network with Routr on DigitalOcean Kubernetes: Part I
Helm (Get from here https://helm.sh/)
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The 2024 Web Hosting Report
It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.
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Deploying a Web Service on a Cloud VPS Using Kubernetes MicroK8s: A Comprehensive Guide
Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isn’t ideal for production environments due to the need for manual updates with each new deployment. Although there are methods to streamline and automate this process, such as using Helm charts or bash scripts, we’ll not delve into those techniques to keep the tutorial manageable and avoid fatigue — you might be quite tired by that point!
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Deploy Kubernetes in Minutes: Effortless Infrastructure Creation and Application Deployment with Cluster.dev and Helm Charts
Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the public Helm chart repository, we can get the charts for common software packages like Consul, Jenkins SonarQube, etc. We can also create our own Helm charts for our custom applications so that we don’t need to repeat ourselves and simplify deployments.
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Kubernets Helm Chart
We can search for charts https://helm.sh/ . Charts can be pulled(downloaded) and optionally unpacked(untar).
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Introduction to Helm: Comparison to its less-scary cousin APT
Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM.
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🎀 Five tools to make your K8s experience more enjoyable 🎀
Within the architecture of Cyclops, a central component is the Helm engine. Helm is very popular within the Kubernetes community; chances are you have already run into it. The popularity of Helm plays to Cyclops's strength because of its straightforward integration.
What are some alternatives?
terraform-aws-eks - Terraform module to create AWS Elastic Kubernetes (EKS) resources 🇺🇦
crossplane - The Cloud Native Control Plane
kops - Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
kubespray - Deploy a Production Ready Kubernetes Cluster
argo-cd - Declarative Continuous Deployment for Kubernetes
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
terraform-aws-eks-blueprints - Configure and deploy complete EKS clusters.
krew - 📦 Find and install kubectl plugins
cluster-api - Home for Cluster API, a subproject of sig-cluster-lifecycle
skaffold - Easy and Repeatable Kubernetes Development
eks-anywhere - Run Amazon EKS on your own infrastructure 🚀
dapr-demo - Distributed application runtime demo with ASP.NET Core, Apache Kafka and Redis on Kubernetes cluster.