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Azure Service Fabric is termed as a stage for distributed systems that eases the work of deploying, packaging, and managing reliable and scalable microservices. It also handles noteworthy problems related to the development of cloud applications.
Service Fabric Cluster can be described as a shared pool of machines. These clusters can have thousands of machines and can expand their areas globally.
Application instance in Azure Service Fabric can be run as a separate process even though they are on the same Fabric Service node. One can have as many application instances of any type as they want in a cluster. Each application instance will have a specific name in a cluster and independently managed and versioned from the rest application instances of the same or different type. Moreover, resources and security isolation can be defined by them.
A cluster can be described as a collection of virtual/physical machines that are connected by a network. On these machines only, application instances are getting deployed.
A node in a cluster is an addressable unit. It has unique IDs and placement properties. The cluster can be formed as different nodes.
Yes. Azure supports a minimum of 5 nodes for the production environment for a Service Cluster. For dev/test environments, Azure supports three nodes of the cluster. This minimum node requirement exists as Azure runs a collection of Stateful Services. These services are directly dependent on consistency. And this strong consistency is directly dependent on the ability of any service to obtain a quorum for an update to the state of them. Quorum amounts to the majority of replicas for a given service.
A service type is a coding unit or a configuration that runs independently. An application type can have one or more service types. For example, Queue Service
The service instance can be defined as code which instantiated for each service type. Every service instance is associated with a specific application instance and will have a unique name.
Application packages are composed of service code packages and configuration files of a particular application. For example, an email application package is a combination of a front-end service package, queue service package, and database service package.
MicroService applications are formed of scalable, compact, stand-alone, and customer-focused services, which converse with each other using standard protocols and well-defined interfaces.
Below are two types of MicroServices:
1. Stateless Microservices – they don’t continue to keep an inconsistent state outside of any request and its response from the service. For example, Azure Cloud Services worker roles, web proxies, etc.
2. Stateful Microservices – They continue to keep an inconsistent state beyond the request and its response from the service. For example, Shopping carts, queues, etc.
Today’s Internet-scale applications composed of a combination of stateless and stateful microservices.
The application type is a collection of one or more service types or we can describe them as a collection of microservices.
To build applications in Azure Service Fabric, we have two programming models:
1. Reliable Services: An API to develop stateful and stateless services using StatelessService and StatefulService .NET classes and save state in .NET collections like dictionary and queue.
2. Reliable Actors: An API to build stateless and stateful objects using the virtual actor programming model that is suitable for applications with different independent units of state and compute.
As of now, nodes in Azure Service Fabric don’t receive OS updates automatically. Azure doesn’t support automatic OS updates in nodes of Service Fabric.
No, it is not at all a feasible option. If we turn off the cluster during weekends/nights when we restart them afterward, almost all the nodes will obtain a brand-new host and in turn, makes the system unrecoverable.
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The container is an individual component that can be run independently and as an isolated instance to gain the benefits of virtualization which an OS gives. It provides a varying environment for the application to run with different types of isolation.
Below are the advantages of the container over virtual machines.
1. Smart: Use a single storage space and layer versions to increase efficiency
2. Fast: Start faster as no need to boot an operating system
3. Portability: Application image can be ported to run on the cloud, virtual machines, premises or physical devices
4. Resource Governance: Resources can be limited consumed by the host.
Two metrics affects resource governance, supported in Service Fabric:
1. CPU: metric name - servicefabric:/_CpuCores
2. Memory: metric name - servicefabric:/_MemoryInMB
These two metrics map total cluster capacity and how much load a node can bear.
Horizontal scaling can be termed as scaling by increasing machines in the pool of resources.
Vertical scaling can be termed as scaling by increasing more power like CPU or RAM to a machine.
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Ravindra Savaram is a Technical Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.
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