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Amazon EC2 Container Service vs Kubernetes: What are the differences?
Developers describe Amazon EC2 Container Service as "Container management service that supports Docker containers". 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. On the other hand, Kubernetes is detailed as "Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops". 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 belongs to "Containers as a Service" category of the tech stack, while Kubernetes can be primarily classified under "Container Tools".
Some of the features offered by Amazon EC2 Container Service are:
- Docker Compatibility
- Managed Clusters
- Programmatic Control
On the other hand, Kubernetes provides the following key features:
- Lightweight, simple and accessible
- Built for a multi-cloud world, public, private or hybrid
- Highly modular, designed so that all of its components are easily swappable
"Backed by amazon", "Familiar to ec2" and "Cluster based" are the key factors why developers consider Amazon EC2 Container Service; whereas "Leading docker container management solution", "Simple and powerful" and "Open source" are the primary reasons why Kubernetes is favored.
Kubernetes is an open source tool with 54.2K GitHub stars and 18.8K GitHub forks. Here's a link to Kubernetes's open source repository on GitHub.
According to the StackShare community, Kubernetes has a broader approval, being mentioned in 1018 company stacks & 1060 developers stacks; compared to Amazon EC2 Container Service, which is listed in 784 company stacks and 374 developer stacks.
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.
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis as preferred in-memory database/store (great for caching)
The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:
- Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
- Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
- Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
- Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
- Scalability: All-in-one framework for distributed systems.
- Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
I chose Amazon EC2 Container Service to power our production cluster. It's mostly all managed, you just have to provide a few EC2 (for examples through an autoscaling group) to set it up. Configuration is super easy and it work really well to get a few simple http services to production.
It's no Kubernetes but is much easier to understand.
Also when we started Sqreen, it was the only managed tool available in AWS.
Pros of Amazon EC2 Container Service
- Backed by amazon100
- Familiar to ec272
- Cluster based53
- Simple API42
- Iam roles26
- Scheduler7
- Cluster management7
- Programmatic Control7
- Socker support4
- Container-enabled applications4
- No additional cost2
- Easy to use and cheap1
Pros of Kubernetes
- Leading docker container management solution164
- Simple and powerful128
- Open source106
- Backed by google76
- The right abstractions58
- Scale services25
- Replication controller20
- Permission managment11
- Cheap8
- Supports autoscaling8
- Simple8
- No cloud platform lock-in5
- Reliable5
- Self-healing5
- Quick cloud setup4
- Promotes modern/good infrascture practice4
- Scalable4
- Open, powerful, stable4
- Runs on azure3
- Captain of Container Ship3
- Cloud Agnostic3
- Custom and extensibility3
- Backed by Red Hat3
- A self healing environment with rich metadata3
- Gke2
- Everything of CaaS2
- Sfg2
- Expandable2
- Golang2
- Easy setup2
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Cons of Amazon EC2 Container Service
Cons of Kubernetes
- Poor workflow for development15
- Steep learning curve15
- Orchestrates only infrastructure8
- High resource requirements for on-prem clusters4
- Too heavy for simple systems2
- Additional vendor lock-in (Docker)1
- More moving parts to secure1
- Additional Technology Overhead1