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Amazon EC2 Container Service vs Google Kubernetes Engine: What are the differences?
Introduction
Amazon EC2 Container Service (ECS) and Google Kubernetes Engine (GKE) are container orchestration platforms that allow users to manage and scale containerized applications. While both provide similar functionalities, there are key differences that set them apart.
Launching and Managing Containers: ECS allows users to launch and manage containers using EC2 instances as the underlying compute resources. It provides fine-grained control over container placement and resource allocation. On the other hand, GKE leverages Google Compute Engine (GCE) virtual machines to launch and manage containers. GKE's integration with GCE provides advanced features like auto-scaling and managed instance groups.
Container Scheduling: ECS uses a proprietary task scheduler to handle container placement within a cluster. It supports service discovery and load balancing through integration with Amazon Route 53 and Elastic Load Balancer. In contrast, GKE leverages Kubernetes, an open-source container orchestration platform, for container scheduling. Kubernetes offers a rich set of features like pod scaling, self-healing capabilities, and service discovery through integrated DNS.
Managed vs. Self-managed Service: ECS is a fully managed service provided by AWS, which means that AWS takes care of the underlying infrastructure and ensures high availability and scalability. Users only need to define the container specifications and let ECS handle the rest. On the other hand, GKE is a self-managed service where users are responsible for managing the clusters and nodes. This provides more flexibility and control but requires additional management overhead.
Cloud Provider Integration: ECS is tightly integrated with the AWS ecosystem, allowing users to leverage other AWS services like CloudWatch for monitoring, IAM for access control, and AWS Fargate for serverless container provisioning. GKE, on the other hand, offers integration with Google Cloud Platform services like Stackdriver for logging and monitoring and Cloud IAM for access control.
Networking and Load Balancing: ECS uses Elastic Load Balancer (ELB) for load balancing and supports both classic and application load balancers. It integrates with Amazon VPC for networking and provides features like security groups and network ACLs for enhanced security. GKE uses Google Cloud Load Balancing for load balancing and supports HTTP(S), SSL/TCP, and network load balancing. It integrates with Google Cloud VPC for networking and provides features like firewall rules and network policies.
Pricing Model: ECS pricing mainly depends on the EC2 instances used to host the containers and the additional AWS services utilized. It follows an hourly rate and offers several pricing options for reserved instances. GKE pricing is based on the GCE instances and the additional resources consumed by the cluster. Similar to ECS, GKE provides various pricing options like sustained use discounts and committed use contracts.
In summary, Amazon EC2 Container Service and Google Kubernetes Engine differ in their underlying infrastructure management, container scheduling mechanisms, level of service management, cloud provider integrations, networking/load balancing options, and pricing models.
Back in 2018, we were running microservices in the ECS cluster by managing EC2 instances ourselves. It involved lots of toil work.
Without Fargate we had to maintain & monitor a pool of spot instances, choose the right size of instances, keep OS up-to-date, etc.
We want to ship features, not to manage servers. That's why as soon as AWS Fargate was announced, we migrated our microservices to this managed service. The only configuration you need is Docker image, RAM & CPU resources. The rest of the heavy lifting is taken care of by Fargate, which is wonderful.
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.
Pros of Amazon EC2 Container Service
- Backed by amazon100
- Familiar to ec272
- Cluster based53
- Simple API42
- Iam roles26
- Scheduler7
- Cluster management7
- Programmatic Control7
- Container-enabled applications4
- Socker support4
- No additional cost2
- Easy to use and cheap1
Pros of Google Kubernetes Engine
- Backed by Google18
- Powered by kubernetes18
- Docker13
- Scalable12
- Open source7
- Command line interface is intuitive3
- Decoupled app3
- Provisioning2
- Declarative management2
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What is Amazon EC2 Container Service?
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