What are the differences between Azure service fabric and Kubernetes

Lukman Olatunbosun Kolawole 25 Reputation points
2023-06-28T08:51:47.8333333+00:00

I have being hearing about Azure services fabric and kubernetes in training, but I want ask for the differences between Azure services fabric and Kubernetes. I also want to know what is common with both Azure services fabric and kubernetes. So that if I see something of such in any Microsoft exam in future I will be able to tackle it. Thanks

Azure Service Fabric
Azure Service Fabric
An Azure service that is used to develop microservices and orchestrate containers on Windows and Linux.
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System Center Orchestrator
System Center Orchestrator
A family of System Center products that provide an automation platform for orchestrating and integrating both Microsoft and non-Microsoft IT tools.
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Azure Container Instances
Azure Container Instances
An Azure service that provides customers with a serverless container experience.
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Azure Kubernetes Service (AKS)
Azure Kubernetes Service (AKS)
An Azure service that provides serverless Kubernetes, an integrated continuous integration and continuous delivery experience, and enterprise-grade security and governance.
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Windows Server Clustering
Windows Server Clustering
Windows Server: A family of Microsoft server operating systems that support enterprise-level management, data storage, applications, and communications.Clustering: The grouping of multiple servers in a way that allows them to appear to be a single unit to client computers on a network. Clustering is a means of increasing network capacity, providing live backup in case one of the servers fails, and improving data security.
958 questions
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Accepted answer
  1. Sedat SALMAN 13,160 Reputation points
    2023-06-28T13:06:21.83+00:00

    https://stackshare.io/stackups/azure-service-fabric-vs-kubernetes

    Azure Service Fabric is described as a distributed systems platform that simplifies the building, packaging, deployment, and management of scalable microservices applications. It is specifically designed to address the significant challenges in developing and managing cloud apps. Some of its key features include simplifying microservices development and application lifecycle management, reliable scaling and orchestration of containers and microservices, and being a data-aware platform for low-latency, high-throughput workloads with stateful containers or microservices. In terms of adoption, it has less popularity compared to Kubernetes, with fewer mentions in company and developer stacks, and fewer GitHub stars and forks. The pros of Azure Service Fabric include its speed, reliability, and superior programming models. It is also noted for its quick recovery and healing capabilities and the fact that it has been battle-tested in Azure for over 10 years.

    On the other hand, Kubernetes is an open-source orchestration system for Docker containers. It manages the scheduling of workloads onto nodes in a compute cluster and actively manages these workloads to ensure that their state matches the user's declared intentions. It's lightweight, designed for a multi-cloud world (public, private, or hybrid), and highly modular, with easily swappable components. Kubernetes enjoys broader approval and adoption compared to Azure Service Fabric, as evidenced by the number of company and developer stacks it's mentioned in and the number of GitHub stars and forks it has. The pros of Kubernetes include its simplicity, power, scalability, and the fact that it's backed by Google. It's also praised for having the right abstractions, supporting autoscaling, and offering no cloud platform lock-in.

    In terms of cons, no cons were listed for Azure Service Fabric at the source I consulted. For Kubernetes, some of the cons include a steep learning curve, poor workflow for development, high resource requirements for on-prem clusters, and being too heavy for simple systems.

    One key similarity between Azure Service Fabric and Kubernetes is that they are both designed to manage and orchestrate distributed systems, particularly in a cloud computing environment. They also both offer capabilities for handling microservices and containerized applications.


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