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  4. Containers As A Service
  5. AWS Fargate vs Amazon EKS vs Google Kubernetes Engine

AWS Fargate vs Amazon EKS vs Google Kubernetes Engine

OverviewDecisionsComparisonAlternatives

Overview

Google Kubernetes Engine
Google Kubernetes Engine
Stacks1.1K
Followers814
Votes78
AWS Fargate
AWS Fargate
Stacks650
Followers413
Votes0
Amazon EKS
Amazon EKS
Stacks939
Followers502
Votes3

AWS Fargate vs Amazon EKS vs Google Kubernetes Engine: What are the differences?

  1. Deployment Model: AWS Fargate is a serverless compute engine for containers that allows you to run containers without provisioning or managing servers, while Amazon EKS and Google Kubernetes Engine are managed Kubernetes services where you have control over the infrastructure.

  2. Pricing Model: AWS Fargate charges based on the vCPU and memory used per second, with a minimum of 1 vCPU and 0.5 GB of memory per task, whereas Amazon EKS and Google Kubernetes Engine charge for the underlying compute resources, such as instances and disks, in addition to the management fee.

  3. Control and Customization: Amazon EKS provides more control and customization options as it allows you to manage the Kubernetes control plane, perform upgrades, and integrate with existing AWS services, while AWS Fargate abstracts the infrastructure management, providing less control and flexibility.

  4. Scalability: Google Kubernetes Engine offers more scalability options as it can automatically scale the worker nodes based on the workload, whereas AWS Fargate and Amazon EKS require you to manually scale the underlying infrastructure.

  5. Networking and Security: Amazon EKS offers more advanced networking and security features, such as VPC networking, IAM integration, and network policies, compared to AWS Fargate and Google Kubernetes Engine.

  6. Integration with Cloud Services: AWS Fargate and Amazon EKS provide better integration with other AWS services due to their native compatibility, enabling seamless utilization of services like AWS CloudWatch, AWS Load Balancers, and AWS IAM roles, whereas Google Kubernetes Engine may require additional configurations for similar integrations with GCP services.

In Summary, AWS Fargate, Amazon EKS, and Google Kubernetes Engine differ in deployment model, pricing model, control and customization, scalability, networking and security features, and integration with cloud services.

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Advice on Google Kubernetes Engine, AWS Fargate, Amazon EKS

Andres
Andres

Lead Senior Software Engineer at InTouch Technology

Jun 3, 2020

Decided

If you want to integrate your cluster and control end to end your pipeline with AWS tools like ECR and Code Pipeline your best option is ECS using a EC2 instance. There are pros and cons but it's easier to integrate using cloud formation templates and visual UI for approvals, etc. ECS is free, you need to pay only for the EC2 instance but unfortunately, it is not standard then you cannot use standard tools to see and manage your Kubernetes.
EKS in the other hand uses standard Kubernates definitions but you need to pay for the service and also for the EC2 instance(s) you have in your cluster.

91.7k views91.7k
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Detailed Comparison

Google Kubernetes Engine
Google Kubernetes Engine
AWS Fargate
AWS Fargate
Amazon EKS
Amazon EKS

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 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.

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.

Docker support - Improve the predictability of your deployments with Docker containers. Containers make it easy to deploy applications across environments.; Better ops - Give ops a better system, starting with a managed compute cluster. Container Engine takes care of provisioning and maintaining the underlying virtual machines and operational logistics like logging, monitoring, and health management.;Declarative management - Use declarative syntax to define your application requirements. Container Engine will actively manage your application, ensuring your containers are running and scheduling additional as needed.;Scalable - Run multiple containers in a single virtual machine, or scale to many as your application grows. Container Engine makes it easy to manage your containers across a group of virtual machines.;Powered by Kubernetes - Container Engine is powered by the open source Kubernetes technology. Join the discussion on Kubernetes and be part of the growing community.;Decoupled apps - Let developers focus on code, with very few constraints. Create loosely coupled microservice apps that are more robust and easier to maintain and extend.
No clusters to manage; seamless scaling; Integrated with Amazon ECS and EKS
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.; Certified Conformant - Amazon EKS runs upstream Kubernetes and is certified Kubernetes conformant, so you can use all the existing plugins and tooling from the Kubernetes community.
Statistics
Stacks
1.1K
Stacks
650
Stacks
939
Followers
814
Followers
413
Followers
502
Votes
78
Votes
0
Votes
3
Pros & Cons
Pros
  • 18
    Backed by Google
  • 18
    Powered by kubernetes
  • 13
    Docker
  • 12
    Scalable
  • 7
    Open source
Cons
  • 2
    Expensive
Pros
  • 1
    Better control
  • 1
    Broad package manager using helm
  • 1
    Possibility to log in into the pods
Integrations
Docker
Docker
Docker
Docker
Amazon EC2 Container Service
Amazon EC2 Container Service
Amazon CloudWatch
Amazon CloudWatch
AWS IAM
AWS IAM
Amazon VPC
Amazon VPC
Weave
Weave
Amazon CloudWatch
Amazon CloudWatch
Datadog
Datadog
Amazon VPC
Amazon VPC
MongoDB Atlas
MongoDB Atlas
Rancher
Rancher
GitLab
GitLab
Terraform
Terraform
Codefresh
Codefresh
AWS CloudTrail
AWS CloudTrail

What are some alternatives to Google Kubernetes Engine, AWS Fargate, Amazon EKS?

Amazon EC2 Container Service

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.

Containerum

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.

Azure Container Service

Azure Container Service

Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

Docker Cloud

Docker Cloud

Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.

instainer

instainer

InstaDocker is a Docker container hosting service which allows run any Docker container on the cloud instantly.

Docker Datacenter

Docker Datacenter

Docker Datacenter is an integrated solution including open source and commercial software, the integrations between them, full Docker API support, validated configurations and commercial support for your Docker Datacenter environment.

DCHQ

DCHQ

DCHQ delivers enterprise discipline to Linux Containers application lifecycle management. Available in hosted and on-prem versions, DCHQ provides the most advanced application composition framework extending Docker Compose through environment variable bindings across images, BASH script plug-ins that can be invoked at request time and post-provision and support for clustering for high availability across multiple hosts and auto-scaling.

Supergiant

Supergiant

Supergiant is a container management platform built on top of Kubernetes. Supergiant makes it easy to deploy and manage faster, and it reduces hardware expenses. Packing algorithm efficiently matches your overall CPU and RAM needs.

Hubfly space

Hubfly space

Hubfly space is a cloud platform for running applications, APIs, and persistent services with predictable performance and full ownership of your runtime. Scale on demand, attach durable storage, and control networking and security — without managing servers or complex orchestration.

Azure Kubernetes Service

Azure Kubernetes Service

Deploy and manage containerized applications more easily with a fully managed Kubernetes service. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.

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