AWS Fargate vs Kubernetes

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AWS Fargate vs Kubernetes: What are the differences?

Introduction

In this article, we will explore the key differences between AWS Fargate and Kubernetes. Both of these technologies are widely used in the containerization world, but they have distinct features and use cases. Let's dive into the details.

  1. Management and Control: AWS Fargate is a fully managed service provided by Amazon Web Services, which means that AWS handles many aspects of the infrastructure management, such as server provisioning, scaling, and maintenance. On the other hand, Kubernetes requires the user to set up and manage their own cluster, which includes provisioning and configuring the underlying infrastructure.

  2. Scalability and Elasticity: With AWS Fargate, scaling is automated and handled by AWS. It allows you to easily scale your containers up or down based on demand. Kubernetes also provides scaling capabilities, but it requires more manual configuration and management. It is up to the user to set up and configure the scaling policies and mechanisms.

  3. Cost Model: AWS Fargate follows a pay-as-you-go model, where you only pay for the resources you use and the duration of your tasks or services. It offers a fine-grained cost structure. Kubernetes, on the other hand, requires you to provision and manage your own server resources, which may result in higher operational costs depending on the size and complexity of your infrastructure.

  4. Vendor Lock-in: AWS Fargate is tightly integrated with the Amazon Web Services ecosystem and may result in vendor lock-in. While it provides ease of use and seamless integration with other AWS services, it may limit your ability to migrate to other cloud providers in the future. Kubernetes, being an open-source platform, offers more flexibility and can be deployed on various cloud providers or even on-premises.

  5. Advanced Features and Flexibility: Kubernetes is a mature and feature-rich platform that provides a wide range of capabilities for container orchestration, such as advanced networking, scheduling, storage, and logging. It offers more customization options and flexibility compared to AWS Fargate, which is a more simplified and streamlined solution focused on ease of use and managed infrastructure.

  6. Community and Ecosystem: Kubernetes has a large and active community of users, contributors, and developers. It has a vast ecosystem of tools, plugins, and integrations, making it the de facto standard for container orchestration. AWS Fargate, being a managed service, has a smaller community and ecosystem, which means it may have limited options for third-party integrations and customizations.

In summary, AWS Fargate is a fully managed service provided by AWS that simplifies container orchestration by handling infrastructure management, scaling, and maintenance. It offers automation and ease of use but may result in vendor lock-in. On the other hand, Kubernetes provides more flexibility, advanced features, and a larger community and ecosystem, but requires more manual setup and management of the underlying infrastructure. Choose the option that best fits your specific requirements and preferences.

Decisions about AWS Fargate and Kubernetes
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 8.9M views

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.
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Pros of AWS Fargate
Pros of Kubernetes
    Be the first to leave a pro
    • 164
      Leading docker container management solution
    • 128
      Simple and powerful
    • 106
      Open source
    • 76
      Backed by google
    • 58
      The right abstractions
    • 25
      Scale services
    • 20
      Replication controller
    • 11
      Permission managment
    • 9
      Supports autoscaling
    • 8
      Cheap
    • 8
      Simple
    • 6
      Self-healing
    • 5
      No cloud platform lock-in
    • 5
      Promotes modern/good infrascture practice
    • 5
      Open, powerful, stable
    • 5
      Reliable
    • 4
      Scalable
    • 4
      Quick cloud setup
    • 3
      Cloud Agnostic
    • 3
      Captain of Container Ship
    • 3
      A self healing environment with rich metadata
    • 3
      Runs on azure
    • 3
      Backed by Red Hat
    • 3
      Custom and extensibility
    • 2
      Sfg
    • 2
      Gke
    • 2
      Everything of CaaS
    • 2
      Golang
    • 2
      Easy setup
    • 2
      Expandable

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    Cons of AWS Fargate
    Cons of Kubernetes
    • 2
      Expensive
    • 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
    • 1
      Additional vendor lock-in (Docker)
    • 1
      More moving parts to secure
    • 1
      Additional Technology Overhead

    Sign up to add or upvote consMake informed product decisions

    What is 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.

    What is Kubernetes?

    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.

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    What companies use AWS Fargate?
    What companies use Kubernetes?
    See which teams inside your own company are using AWS Fargate or Kubernetes.
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    What tools integrate with AWS Fargate?
    What tools integrate with Kubernetes?

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    What are some alternatives to AWS Fargate and Kubernetes?
    Google App Engine
    Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
    AWS Batch
    It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.
    AWS Lambda
    AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
    Batch
    Yes, we’re really free. So, how do we keep the lights on? Instead of charging you a monthly fee, we sell ads on your behalf to the top 500 mobile advertisers in the world. With Batch, you earn money each month while accessing great engagement tools for free.
    Google Cloud Run
    A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
    See all alternatives