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Amazon EKS vs IBM Containers: What are the differences?

What is Amazon EKS? Highly available and scalable Kubernetes service. Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

What is IBM Containers? Fully managed Kubernetes Offering by IBM. Managed Kubernetes offering to deliver powerful tools, an intuitive user experience, and built-in security and isolation to enable rapid delivery of applications all while leveraging Services including Watson, Weather, IoT, etc.

Amazon EKS and IBM Containers can be primarily classified as "Containers as a Service" tools.

Some of the features offered by Amazon EKS are:

  • Managed Kubernetes Control Plane - Amazon EKS provides a scalable and highly-available control plane that runs across multiple AWS availability zones.
  • Security and Networking - Amazon EKS makes it easy to provide security for your Kubernetes clusters, with advanced features and integrations to AWS services and technology partner solutions.
  • Logging - Amazon EKS is integrated with Amazon CloudWatch Logs and AWS CloudTrail to provide visibility and audit history tracking of your cluster and user activity.

On the other hand, IBM Containers provides the following key features:

  • Managed Kubernetes with simplified cluster management from IBM
  • Cluster isolation choice (virtual - shared or dedicated compute and bare metal)
  • Vulnerability Advisor introspects every layer in each image for known vulnerabilities and configuration weaknesses, as well as live container scanning
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What is Amazon EKS?

Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

What is IBM Containers?

Managed Kubernetes offering to deliver powerful tools, an intuitive user experience, and built-in security and isolation to enable rapid delivery of applications all while leveraging Services including Watson, Weather, IoT, etc.
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          What are some alternatives to Amazon EKS and IBM Containers?
          kops
          It helps you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes clusters from the command line. AWS (Amazon Web Services) is currently officially supported, with GCE in beta support , and VMware vSphere in alpha, and other platforms planned.
          Kubernetes
          Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
          Amazon EC2 Container Service
          Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.
          Google Kubernetes Engine
          Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.
          AWS Fargate
          AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. With AWS Fargate, you no longer have to provision, configure, and scale clusters of virtual machines to run containers.
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          Decisions about Amazon EKS and IBM Containers
          Russel Werner
          Russel Werner
          Lead Engineer at StackShare | 0 upvotes 3.7K views
          atStackShareStackShare
          Amazon EC2 Container Service
          Amazon EC2 Container Service
          CircleCI
          CircleCI
          Helm
          Helm
          Slack
          Slack
          Google Kubernetes Engine
          Google Kubernetes Engine
          Amazon EKS
          Amazon EKS
          Kubernetes
          Kubernetes
          Heroku
          Heroku

          We began our hosting journey, as many do, on Heroku because they make it easy to deploy your application and automate some of the routine tasks associated with deployments, etc. However, as our team grew and our product matured, our needs have outgrown Heroku. I will dive into the history and reasons for this in a future blog post.

          We decided to migrate our infrastructure to Kubernetes running on Amazon EKS. Although Google Kubernetes Engine has a slightly more mature Kubernetes offering and is more user-friendly; we decided to go with EKS because we already using other AWS services (including a previous migration from Heroku Postgres to AWS RDS). We are still in the process of moving our main website workloads to EKS, however we have successfully migrate all our staging and testing PR apps to run in a staging cluster. We developed a Slack chatops application (also running in the cluster) which automates all the common tasks of spinning up and managing a production-like cluster for a pull request. This allows our engineering team to iterate quickly and safely test code in a full production environment. Helm plays a central role when deploying our staging apps into the cluster. We use CircleCI to build docker containers for each PR push, which are then published to Amazon EC2 Container Service (ECR). An upgrade-operator process watches the ECR repository for new containers and then uses Helm to rollout updates to the staging environments. All this happens automatically and makes it really easy for developers to get code onto servers quickly. The immutable and isolated nature of our staging environments means that we can do anything we want in that environment and quickly re-create or restore the environment to start over.

          The next step in our journey is to migrate our production workloads to an EKS cluster and build out the CD workflows to get our containers promoted to that cluster after our QA testing is complete in our staging environments.

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