Azure App Service vs Azure Service Fabric

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Azure App Service

231
268
+ 1
7
Azure Service Fabric

88
231
+ 1
25
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Azure App Service vs Azure Service Fabric: What are the differences?

Developers describe Azure App Service as "Build, deploy, and scale web apps on a fully managed platform". 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. On the other hand, Azure Service Fabric is detailed as "Distributed systems platform that simplifies build, package, deploy, and management of scalable microservices apps". 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.

Azure App Service belongs to "Platform as a Service" category of the tech stack, while Azure Service Fabric can be primarily classified under "Microservices Tools".

Azure Service Fabric is an open source tool with 2.57K GitHub stars and 304 GitHub forks. Here's a link to Azure Service Fabric's open source repository on GitHub.

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Pros of Azure App Service
Pros of Azure Service Fabric
  • 4
    .Net Framework
  • 3
    Visual studio
  • 5
    Intelligent, fast, reliable
  • 3
    Open source
  • 3
    Superior programming models
  • 3
    More reliable than Kubernetes
  • 3
    Runs most of Azure core services
  • 3
    Reliability
  • 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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- No public GitHub repository available -

What is 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.

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

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What are some alternatives to Azure App Service and Azure Service Fabric?
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
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.
Azure Functions
Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
Azure Service Bus
It is a cloud messaging system for connecting apps and devices across public and private clouds. You can depend on it when you need highly-reliable cloud messaging service between applications and services, even when one or more is offline.
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.
See all alternatives