Azure Service Fabric
Azure Service Fabric is a distributed systems platform for building and managing scalable, reliable, and easily managed microservices and containers.
While it is available as a service on Azure, it can also be run on-premises or on other clouds, offering flexibility in deployment.
Service Fabric powers many core Microsoft services, including Azure Cosmos DB, Azure SQL Database, and Event Hubs.
Core Capabilities
- Microservice support: Supports both stateless and stateful microservices. Stateful services keep their data with the service itself, enabling low-latency workloads like gaming, trading, and real-time processing.
- Orchestration: Deploys and manages containers (Docker and Windows Server) and executables across a cluster of machines.
- High availability and reliability: Automatically handles scaling, rolling upgrades, and self-healing from faults.
- Application lifecycle management: Provides tools for development, deployment, upgrades, and maintenance.
- "Run anywhere" deployment: Offers consistent programming models across Azure, on-premises, and other clouds.
- Developer productivity: Provides APIs like Reliable Services and Reliable Actors, supporting .NET and Java, with integration in Visual Studio and Eclipse.
Service Fabric vs. Other Azure Services
| Comparison |
Azure Service Fabric |
Azure Kubernetes Service (AKS) |
Azure Service Bus |
| Primary purpose |
A distributed systems platform for building, deploying, and managing microservices and containers. |
A managed Kubernetes offering for orchestrating containerized applications. |
An enterprise message broker for decoupling applications and managing asynchronous communication. |
| Workload type |
Runs processes, containers, and executables; optimized for both stateful and stateless services. |
Designed for orchestrating and managing containers using Kubernetes API. |
Handles message queues and publish-subscribe topics; does not host applications directly. |
| State management |
Excellent support for stateful services with Reliable Collections and Reliable Actors. |
Uses external storage like Azure Disk or Azure Files for persistence; not natively stateful. |
Stores messages reliably but not general-purpose application state. |
| Best for |
Mission-critical, low-latency apps like IoT, gaming, and high-performance computing. |
Standard, portable, containerized applications across multi-cloud environments. |
Reliable, asynchronous communication between decoupled services. |
What is Azure Service Fabric
Azure Service Fabric is a distributed systems platform that simplifies the packaging, deployment, and management of scalable and reliable microservices and containers.
It is widely used for building cloud-native applications and running mission-critical workloads with high availability.
Key Features
- Supports microservices (stateful and stateless).
- Runs containers alongside microservices.
- Automatic scaling and rolling upgrades.
- High availability and fault tolerance.
- Supports .NET, Java, and other runtimes.
Example: Simple Stateless Service in C#
using System;
using System.Fabric;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.ServiceFabric.Services.Runtime;
namespace HelloServiceFabric
{
internal sealed class HelloService : StatelessService
{
public HelloService(StatelessServiceContext context) : base(context) { }
protected override async Task RunAsync(CancellationToken cancellationToken)
{
long counter = 0;
while (!cancellationToken.IsCancellationRequested)
{
counter++;
ServiceEventSource.Current.ServiceMessage(this.Context,
"Hello Service Fabric! Count: {0}", counter);
await Task.Delay(TimeSpan.FromSeconds(5), cancellationToken);
}
}
}
}
How It Works
- Cluster: Service Fabric runs across a cluster of machines (nodes).
- Application: Your application is deployed as a collection of services.
- Stateless Service: In this example, the service just logs a message repeatedly.
- Orchestration: Service Fabric manages deployment, failover, and scaling automatically.
Use Cases: Microservices applications, containerized workloads, low-latency systems, and enterprise-scale cloud apps.