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  1. Stackups
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  3. Container Registry
  4. Container Tools
  5. Amazon EC2 Container Service vs Kubernetes

Amazon EC2 Container Service vs Kubernetes

OverviewDecisionsComparisonAlternatives

Overview

Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685
Amazon EC2 Container Service
Amazon EC2 Container Service
Stacks14.6K
Followers10.2K
Votes325

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

Amazon EC2 Container Service (ECS) and Kubernetes are both container orchestration platforms that allow users to manage and deploy containerized applications at scale. Here are the key differences between these two platforms:

  1. Architecture: Amazon EC2 Container Service (ECS) is a fully managed container orchestration service provided by Amazon Web Services (AWS). It leverages AWS features and integrates tightly with other AWS services, providing a seamless experience for users already utilizing the AWS ecosystem. On the other hand, Kubernetes is an open-source container orchestration platform that can be used with any cloud provider or on-premises infrastructure. It offers a more flexible architecture that allows users to have more control over their infrastructure setup.

  2. Ease of Use: Amazon ECS is generally known for its simplicity and ease of use. It provides a straightforward user interface and integrates well with other AWS services, making it easier to manage and deploy containerized applications within the AWS ecosystem. Kubernetes, on the other hand, has a steeper learning curve initially, with more complex configuration and setup options. It requires more hands-on management and knowledge of Kubernetes-specific concepts and components.

  3. Scalability: Both Amazon ECS and Kubernetes offer scalability features but with slight differences. Amazon ECS offers auto-scaling capabilities out of the box, allowing users to scale container instances based on metrics and thresholds defined by the user. Kubernetes, on the other hand, provides horizontal scaling features through pod autoscaling, allowing users to automatically adjust the number of pods based on CPU or custom metrics. Kubernetes also supports vertical scaling by adjusting the resources allocated to individual pods.

  4. Networking and Load Balancing: Amazon ECS provides built-in integration with AWS networking and load balancing services. It integrates with Amazon VPC, making it easier to manage networking configurations and secure communication between containers. Kubernetes, on the other hand, offers more flexibility in networking options, allowing users to choose between multiple container networking plugins. It also provides built-in load balancing capabilities through its service abstraction.

  5. Storage: Amazon ECS leverages existing AWS storage services, such as Amazon EBS and Amazon EFS, for persistent storage needs. It integrates seamlessly with these services, providing a straightforward way to provision and manage persistent storage for containers. Kubernetes, on the other hand, offers the ability to use various storage solutions through its PersistentVolume and PersistentVolumeClaim objects. It supports a wide range of storage providers and allows users to choose the most suitable option for their specific needs.

  6. Community and Ecosystem: Kubernetes has a thriving open-source community and a vast ecosystem of tools and plugins built around it. This makes it easy to find support, documentation, and third-party integrations for various use cases. Amazon ECS, being a proprietary service, has a smaller community and ecosystem compared to Kubernetes. While it benefits from being part of the broader AWS ecosystem, the range of available tools and plugins may be more limited.

In summary, Amazon EC2 Container Service (ECS) is an AWS-managed container orchestration service, simplifying the deployment and management of containerized applications. Kubernetes, an open-source container orchestration platform, offers a more portable and extensible solution for automating the deployment, scaling, and operation of application containers across diverse infrastructure environments.

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Advice on Kubernetes, Amazon EC2 Container Service

Simon
Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

DecidedonGitHubGitHubGitHub PagesGitHub PagesMarkdownMarkdown

Our whole DevOps stack consists of the following tools:

  • @{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively @{Git}|tool:1046| as revision control system
  • @{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
  • @{Visual Studio Code}|tool:4202| as IDE
  • @{CircleCI}|tool:190| for continuous integration (automatize development process)
  • @{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
  • @{SonarQube}|tool:2638| as quality gate
  • @{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
  • @{VirtualBox}|tool:774| for operating system simulation tests
  • @{Kubernetes}|tool:1885| as cluster management for docker containers
  • @{Heroku}|tool:133| for deploying in test environments
  • @{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
  • @{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
  • @{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
  • @{PostgreSQL}|tool:1028| as preferred database system
  • @{Redis}|tool:1031| 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.
12.8M views12.8M
Comments
Anis
Anis

Founder at Odix

Nov 7, 2020

Review

I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).

You pay less money, but u need some technical 2 - 3 guys to make that done.

Good luck

115k views115k
Comments
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
Comments

Detailed Comparison

Kubernetes
Kubernetes
Amazon EC2 Container Service
Amazon EC2 Container Service

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 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.

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
Docker Compatibility;Managed Clusters;Programmatic Control;Task Definitions;Scheduler;Docker Repository
Statistics
Stacks
61.2K
Stacks
14.6K
Followers
52.8K
Followers
10.2K
Votes
685
Votes
325
Pros & Cons
Pros
  • 166
    Leading docker container management solution
  • 130
    Simple and powerful
  • 108
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
Cons
  • 16
    Steep learning curve
  • 15
    Poor workflow for development
  • 8
    Orchestrates only infrastructure
  • 4
    High resource requirements for on-prem clusters
  • 2
    Too heavy for simple systems
Pros
  • 100
    Backed by amazon
  • 72
    Familiar to ec2
  • 53
    Cluster based
  • 42
    Simple API
  • 26
    Iam roles
Integrations
Vagrant
Vagrant
Docker
Docker
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Google Kubernetes Engine
Google Kubernetes Engine
Docker
Docker
Amazon EC2
Amazon EC2

What are some alternatives to Kubernetes, Amazon EC2 Container Service?

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Google Kubernetes Engine

Google Kubernetes Engine

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.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

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.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

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