eksctl
kubernetes
eksctl | kubernetes | |
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59 | 661 | |
4,791 | 106,923 | |
0.9% | 0.8% | |
9.5 | 10.0 | |
3 days ago | 3 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
kubernetes
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Streamlining Deployments: Unveiling the Power of GitOps with Kubernetes
In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.
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Using NetBird for Kubernetes Access
Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.
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My Favorite DevTools to Build AI/ML Applications!
Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
To learn more, you can start by exploring the official Kubernetes documentation.
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Building Llama as a Service (LaaS)
With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.
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The power of the CLI with Golang and Cobra CLI
This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.
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Upgrading Hundreds of Kubernetes Clusters
We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.
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Kubernetes and back – Why I don't run distributed systems
"You are holding it wrong", huh?
From the homepage https://kubernetes.io/:
"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."
Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.
What are some alternatives?
terraform-aws-eks - Terraform module to create AWS Elastic Kubernetes (EKS) resources 🇺🇦
Apache ZooKeeper - Apache ZooKeeper
kops - Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
bosun - Time Series Alerting Framework
argo-cd - Declarative Continuous Deployment for Kubernetes
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
terraform-aws-eks-blueprints - Configure and deploy complete EKS clusters.
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
cluster-api - Home for Cluster API, a subproject of sig-cluster-lifecycle
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
eks-anywhere - Run Amazon EKS on your own infrastructure 🚀
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).