Docker for AWS vs Google Kubernetes Engine

Overview

Google Kubernetes Engine

Stacks1.1K

Followers814

Votes78

Docker for AWS

Stacks93

Followers159

Votes0

Docker for AWS vs Google Kubernetes Engine: What are the differences?

Networking: A key difference between Docker for AWS and Google Kubernetes Engine is the networking capabilities. Docker for AWS utilizes Amazon VPC (Virtual Private Cloud) networking, which allows for fine-grained control over networking resources and security. On the other hand, Google Kubernetes Engine uses Google Virtual Private Cloud (VPC) networking, providing similar capabilities but within Google's infrastructure.
Managed Service: Docker for AWS is a fully managed service provided by Docker, which means that Docker takes care of the underlying infrastructure and management tasks. Google Kubernetes Engine, on the other hand, is also a managed service provided by Google, but it specifically focuses on running containers using Kubernetes, an open-source container orchestration system.
Integration with Cloud Services: Docker for AWS integrates seamlessly with other Amazon Web Services (AWS) cloud services, such as Amazon ECR (Elastic Container Registry), Amazon ECS (Elastic Container Service), and AWS Fargate. This allows for easy integration and utilization of the entire AWS ecosystem. Google Kubernetes Engine, on the other hand, integrates with various Google Cloud services, such as Google Container Registry, Google Cloud Storage, and Google Cloud Identity and Access Management, providing a similar level of integration within the Google Cloud environment.
Scaling and Load Balancing: Docker for AWS provides automatic scaling and load balancing capabilities through native integration with Amazon EC2 Auto Scaling and Elastic Load Balancing. This allows containers to scale up and down based on demand, ensuring efficient resource utilization. Google Kubernetes Engine offers similar scalability and load balancing features through native integration with Google Cloud Auto Scaling and Google Cloud Load Balancing.
Availability Zones: Docker for AWS allows users to deploy containerized applications in multiple Availability Zones within an Amazon Web Services region for enhanced availability and fault tolerance. Google Kubernetes Engine offers similar high availability by distributing container workloads across multiple zones within a Google Cloud region.
Pricing and Billing: Docker for AWS and Google Kubernetes Engine have different pricing models. Docker for AWS is priced based on the underlying infrastructure resources utilized, while Google Kubernetes Engine is priced based on the number of Kubernetes Engine clusters and the resources consumed by those clusters. Therefore, the cost structure and billing methods differ between the two services.

In Summary, Docker for AWS and Google Kubernetes Engine differ in their networking capabilities, managed service offerings, integration with cloud services, scaling and load balancing features, availability zone support, and pricing and billing models.

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Detailed Comparison

Google Kubernetes Engine	Docker for AWS
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.	An integrated, easy-to-deploy environment for building, assembling, and shipping applications on AWS, Docker for AWS is a native AWS application optimized to take optimal advantage of the underlying AWS IaaS services while giving you a modern Docker platform that you can use to deploy portable apps.
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.	-
Statistics
Stacks 1.1K	Stacks 93
Followers 814	Followers 159
Votes 78	Votes 0
Pros & Cons
Pros 18 Powered by kubernetes 18 Backed by Google 13 Docker 12 Scalable 7 Open source	No community feedback yet
Integrations
Docker	Docker Docker Swarm AWS Elastic Load Balancing (ELB) Amazon EBS

What are some alternatives to Google Kubernetes Engine, Docker for AWS?

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 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 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 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.

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.

instainer

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

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 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 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.

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.

Related Comparisons

Docker for AWS vs Google Kubernetes Engine: What are the differences?

Networking: A key difference between Docker for AWS and Google Kubernetes Engine is the networking capabilities. Docker for AWS utilizes Amazon VPC (Virtual Private Cloud) networking, which allows for fine-grained control over networking resources and security. On the other hand, Google Kubernetes Engine uses Google Virtual Private Cloud (VPC) networking, providing similar capabilities but within Google's infrastructure.
Managed Service: Docker for AWS is a fully managed service provided by Docker, which means that Docker takes care of the underlying infrastructure and management tasks. Google Kubernetes Engine, on the other hand, is also a managed service provided by Google, but it specifically focuses on running containers using Kubernetes, an open-source container orchestration system.
Integration with Cloud Services: Docker for AWS integrates seamlessly with other Amazon Web Services (AWS) cloud services, such as Amazon ECR (Elastic Container Registry), Amazon ECS (Elastic Container Service), and AWS Fargate. This allows for easy integration and utilization of the entire AWS ecosystem. Google Kubernetes Engine, on the other hand, integrates with various Google Cloud services, such as Google Container Registry, Google Cloud Storage, and Google Cloud Identity and Access Management, providing a similar level of integration within the Google Cloud environment.
Scaling and Load Balancing: Docker for AWS provides automatic scaling and load balancing capabilities through native integration with Amazon EC2 Auto Scaling and Elastic Load Balancing. This allows containers to scale up and down based on demand, ensuring efficient resource utilization. Google Kubernetes Engine offers similar scalability and load balancing features through native integration with Google Cloud Auto Scaling and Google Cloud Load Balancing.
Availability Zones: Docker for AWS allows users to deploy containerized applications in multiple Availability Zones within an Amazon Web Services region for enhanced availability and fault tolerance. Google Kubernetes Engine offers similar high availability by distributing container workloads across multiple zones within a Google Cloud region.
Pricing and Billing: Docker for AWS and Google Kubernetes Engine have different pricing models. Docker for AWS is priced based on the underlying infrastructure resources utilized, while Google Kubernetes Engine is priced based on the number of Kubernetes Engine clusters and the resources consumed by those clusters. Therefore, the cost structure and billing methods differ between the two services.

Docker for AWS vs Google Kubernetes Engine

Overview