AWS Fargate vs Azure Service Fabric

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AWS Fargate

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AWS Fargate vs Azure Service Fabric: What are the differences?

Key differences between AWS Fargate and Azure Service Fabric

  1. 1. Deployment model: AWS Fargate is a serverless compute engine for containers, where users only need to provide the containerized application without worrying about infrastructure management. On the other hand, Azure Service Fabric is a distributed systems platform that enables developers to build, deploy, and manage microservices-based applications. It provides more control over the underlying infrastructure, allowing users to choose between deploying containers or virtual machines.

  2. 2. Container orchestration: AWS Fargate leverages Amazon Elastic Container Service (ECS) for container orchestration. It automatically manages tasks, including scaling and load balancing. In comparison, Azure Service Fabric has its own built-in container orchestration capabilities, allowing users to deploy, manage, and scale containerized applications without requiring external tools or services.

  3. 3. Service discovery: AWS Fargate relies on Amazon Route 53 or third-party service discovery tools for service discovery within a VPC. Alternatively, Azure Service Fabric offers built-in service discovery and naming resolution, simplifying the process of locating and communicating with services within the cluster.

  4. 4. Programming models: Azure Service Fabric provides a choice of programming models for building microservices, including Reliable Services and Reliable Actors. These programming models offer features like state management, actor-based concurrency, and reliable messaging. AWS Fargate, being primarily a compute engine, does not provide similar built-in programming models specifically tailored for microservices development.

  5. 5. Platform maturity: AWS Fargate has been available since 2017 and has seen significant adoption and growth in the container ecosystem. Azure Service Fabric, on the other hand, has been available since 2015 and has been used by large-scale enterprise applications, demonstrating its maturity and robustness in deploying and managing complex distributed systems.

  6. 6. Pricing model: AWS Fargate pricing is based on per-second consumption of CPU and memory resources, allowing users to optimize costs based on actual usage. Azure Service Fabric pricing is based on virtual machine instances and storage, making it suitable for applications with predictable resource requirements.

In summary, AWS Fargate is a serverless compute engine that simplifies container deployment and management, while Azure Service Fabric is a distributed systems platform that offers more control and flexibility in building and scaling microservices-based applications.

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Pros of AWS Fargate
Pros of Azure Service Fabric
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    • 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

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    Cons of AWS Fargate
    Cons of Azure Service Fabric
    • 2
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      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 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.

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

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      What are some alternatives to AWS Fargate and Azure Service Fabric?
      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.
      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.
      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.
      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.
      See all alternatives