Azure Service Fabric vs Docker

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Azure Service Fabric

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Azure Service Fabric vs Docker: What are the differences?

Azure Service Fabric and Docker are both popular technologies used for deploying and managing distributed applications. Although they have similar functionalities, there are several key differences between them that set them apart.

  1. Scalability and Orchestration: Azure Service Fabric is designed to provide a highly scalable and orchestrated environment for deploying and managing microservices-based applications. It provides built-in support for automatic scaling, load balancing, and fault tolerance. On the other hand, Docker is primarily focused on containerization and provides a platform-agnostic way to package and distribute applications. While Docker Swarm provides some orchestration capabilities, it does not have the same level of scalability and built-in features as Azure Service Fabric.

  2. Application Lifecycle Management: Azure Service Fabric offers a complete end-to-end application lifecycle management solution. It provides tools for deploying, upgrading, and monitoring applications throughout their lifecycle. It also supports rolling upgrades, allowing applications to be updated without downtime. Docker, on the other hand, focuses on packaging and distribution of applications. While Docker provides tools for managing containers, it does not have the same level of built-in support for application lifecycle management as Azure Service Fabric.

  3. Service Discovery and Communication: Azure Service Fabric provides built-in service discovery and communication mechanisms. It supports service naming and resolution, allowing services to discover and communicate with each other. It also provides reliable messaging and communication libraries. Docker, on the other hand, does not have the same level of built-in service discovery and communication capabilities. It relies on external tools and frameworks for these functionalities.

  4. Supported Platforms: Azure Service Fabric is a Microsoft technology and is tightly integrated with the Azure ecosystem. It can run on both on-premises infrastructure and in the Azure cloud. Docker, on the other hand, is platform-agnostic and can run on any infrastructure that supports containerization. It can be used with different cloud providers, virtual machines, or even bare-metal servers.

  5. Ecosystem and Community Support: Azure Service Fabric, being a Microsoft technology, has a strong ecosystem and community support. It has a wide range of documentation, tutorials, and community forums for developers to learn and get help. Docker, on the other hand, has a larger ecosystem and community support due to its broader adoption. It has a vast collection of pre-built images and a large community that contributes to its development and support.

  6. Deployment Complexity: Azure Service Fabric, being a comprehensive platform, can have a higher deployment complexity compared to Docker. It requires setting up and managing the Service Fabric cluster and understanding its architecture. Docker, on the other hand, provides a simpler deployment model with containers. It allows for easier packaging and deployment of applications without the need for managing the underlying infrastructure.

In summary, Azure Service Fabric is a highly scalable and orchestrated platform with comprehensive application lifecycle management features, built-in service discovery and communication mechanisms, and strong integration with the Azure ecosystem. Docker, on the other hand, focuses on containerization and provides a platform-agnostic way to package and distribute applications with a larger ecosystem and community support. While Azure Service Fabric offers more advanced features and tighter integration with the Azure ecosystem, Docker provides a simpler deployment model and can be used with any infrastructure that supports containerization.

Decisions about Azure Service Fabric and Docker
Florian Sager
IT DevOp at Agitos GmbH · | 3 upvotes · 429.2K views

lxd/lxc and Docker aren't congruent so this comparison needs a more detailed look; but in short I can say: the lxd-integrated administration of storage including zfs with its snapshot capabilities as well as the system container (multi-process) approach of lxc vs. the limited single-process container approach of Docker is the main reason I chose lxd over Docker.

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Pros of Azure Service Fabric
Pros of Docker
  • 5
    Intelligent, fast, reliable
  • 4
    Runs most of Azure core services
  • 3
  • 3
    Superior programming models
  • 3
    More reliable than Kubernetes
  • 3
    Open source
  • 2
    Quickest recovery and healing in the world
  • 1
    Deploy anywhere
  • 1
    Is data storage technology
  • 1
    Battle hardened in Azure > 10 Years
  • 823
    Rapid integration and build up
  • 691
  • 521
    Open source
  • 505
    Testa­bil­i­ty and re­pro­ducibil­i­ty
  • 460
  • 218
  • 185
  • 106
    Upgrading / down­grad­ing / ap­pli­ca­tion versions
  • 88
  • 85
    Private paas environments
  • 34
  • 26
    Limit resource usage
  • 17
    Game changer
  • 16
    I love the way docker has changed virtualization
  • 14
  • 12
  • 8
    Docker's Compose tools
  • 6
    Easy setup
  • 6
    Fast and Portable
  • 5
    Because its fun
  • 4
    Makes shipping to production very simple
  • 3
    Highly useful
  • 3
    It's dope
  • 2
    Very easy to setup integrate and build
  • 2
    HIgh Throughput
  • 2
    Package the environment with the application
  • 2
    Does a nice job hogging memory
  • 2
    Open source and highly configurable
  • 2
    Simplicity, isolation, resource effective
  • 2
    MacOS support FAKE
  • 2
    Its cool
  • 2
    Docker hub for the FTW
  • 2
  • 0

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Cons of Azure Service Fabric
Cons of Docker
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    • 8
      New versions == broken features
    • 6
      Unreliable networking
    • 6
      Documentation not always in sync
    • 4
      Moves quickly
    • 3
      Not Secure

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    What is Azure Service Fabric?

    Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

    What is Docker?

    The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere

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    Blog Posts

    Jul 9 2019 at 7:22PM

    Blue Medora

    DockerPostgreSQLNew Relic+8
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    What are some alternatives to Azure Service Fabric and Docker?
    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.
    Azure Container Service
    Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.
    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.
    Azure App Service
    Quickly build, deploy, and scale web apps created with popular frameworks .NET, .NET Core, Node.js, Java, PHP, Ruby, or Python, in containers or running on any operating system. Meet rigorous, enterprise-grade performance, security, and compliance requirements by using the fully managed platform for your operational and monitoring tasks.
    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.
    See all alternatives