Amazon EC2 Container Service vs Google Kubernetes Engine vs Hyper: What are the differences?

1. Container Orchestration: Amazon EC2 Container Service (ECS) and Google Kubernetes Engine (GKE) both provide container orchestration, while Hyper focuses on supporting container-native infrastructure. ECS relies on AWS-managed infrastructure, GKE uses Kubernetes for container orchestration, and Hyper offers options for both virtual machines and bare metal servers.

2. Vendor Lock-in: ECS is tightly integrated with AWS services, potentially leading to vendor lock-in for users. GKE, on the other hand, is more flexible and can run on various cloud platforms, reducing the risk of vendor lock-in. Hyper, being an open-source project, allows users to deploy containers without being tied to a specific vendor.

3. Management and Monitoring: GKE offers robust management and monitoring tools through its integration with Google Cloud Platform, allowing users to easily monitor and manage their containerized applications. ECS provides similar capabilities but is more tailored to AWS services. Hyper, being lightweight, may require additional tools for advanced management and monitoring functionalities.

4. Networking: GKE provides advanced networking features, including load balancing, networking policies, and network security, making it suitable for complex networking requirements. ECS offers networking capabilities but is more focused on integrating with AWS networking services. Hyper provides basic networking features, requiring additional configurations for advanced networking setups.

5. Scalability: GKE and ECS are both highly scalable, allowing users to easily scale their containerized applications based on demand. Hyper also supports scalability but may require more manual intervention compared to the managed services provided by GKE and ECS.

In Summary, Amazon EC2 Container Service, Google Kubernetes Engine, and Hyper differ in container orchestration, vendor lock-in, management and monitoring capabilities, networking features, and scalability, catering to different needs and preferences in container deployment.