Azure Service Fabric vs Fabric: What are the differences?
What is Azure Service Fabric? 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.
What is Fabric? Simple, Pythonic remote execution and deployment. Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution..
Azure Service Fabric belongs to "Microservices Tools" category of the tech stack, while Fabric can be primarily classified under "Server Configuration and Automation".
Azure Service Fabric and Fabric are both open source tools. Fabric with 11.4K GitHub stars and 1.73K forks on GitHub appears to be more popular than Azure Service Fabric with 2.57K GitHub stars and 304 GitHub forks.
According to the StackShare community, Fabric has a broader approval, being mentioned in 147 company stacks & 38 developers stacks; compared to Azure Service Fabric, which is listed in 6 company stacks and 3 developer stacks.
What is Azure Service Fabric?
What is Fabric?
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Why do developers choose Azure Service Fabric?
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What are the cons of using Azure Service Fabric?
What are the cons of using Fabric?
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What tools integrate with Azure Service Fabric?
We use Fabric for automating deployment and maintenance tasks: bootstrapping and updating application servers (using the "rolling update" pattern), pulling logs from the servers, running manage.py maintenance commands.
Automate everything! I have fabfiles for testing, bootstrapping, deployment, and building. Easy to customize and its pure python.