AWS Fargate vs Azure Service Fabric

Overview

Azure Service Fabric

Stacks103

Followers284

Votes26

GitHub Stars3.0K

Forks399

AWS Fargate

Stacks650

Followers413

Votes0

AWS Fargate vs Azure Service Fabric: What are the differences?

Key differences between AWS Fargate and Azure Service Fabric

1. Deployment model: AWS Fargate is a serverless compute engine for containers, where users only need to provide the containerized application without worrying about infrastructure management. On the other hand, Azure Service Fabric is a distributed systems platform that enables developers to build, deploy, and manage microservices-based applications. It provides more control over the underlying infrastructure, allowing users to choose between deploying containers or virtual machines.
2. Container orchestration: AWS Fargate leverages Amazon Elastic Container Service (ECS) for container orchestration. It automatically manages tasks, including scaling and load balancing. In comparison, Azure Service Fabric has its own built-in container orchestration capabilities, allowing users to deploy, manage, and scale containerized applications without requiring external tools or services.
3. Service discovery: AWS Fargate relies on Amazon Route 53 or third-party service discovery tools for service discovery within a VPC. Alternatively, Azure Service Fabric offers built-in service discovery and naming resolution, simplifying the process of locating and communicating with services within the cluster.
4. Programming models: Azure Service Fabric provides a choice of programming models for building microservices, including Reliable Services and Reliable Actors. These programming models offer features like state management, actor-based concurrency, and reliable messaging. AWS Fargate, being primarily a compute engine, does not provide similar built-in programming models specifically tailored for microservices development.
5. Platform maturity: AWS Fargate has been available since 2017 and has seen significant adoption and growth in the container ecosystem. Azure Service Fabric, on the other hand, has been available since 2015 and has been used by large-scale enterprise applications, demonstrating its maturity and robustness in deploying and managing complex distributed systems.
6. Pricing model: AWS Fargate pricing is based on per-second consumption of CPU and memory resources, allowing users to optimize costs based on actual usage. Azure Service Fabric pricing is based on virtual machine instances and storage, making it suitable for applications with predictable resource requirements.

In summary, AWS Fargate is a serverless compute engine that simplifies container deployment and management, while Azure Service Fabric is a distributed systems platform that offers more control and flexibility in building and scaling microservices-based applications.

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Detailed Comparison

Azure Service Fabric	AWS Fargate
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.	AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. With AWS Fargate, you no longer have to provision, configure, and scale clusters of virtual machines to run containers.
Simplify microservices development and application lifecycle management; Reliably scale and orchestrate containers and microservices; Data-aware platform for low-latency, high-throughput workloads with stateful containers or microservices; Run anything – your choice of languages and programming models; Run anywhere – supports Windows/Linux in Azure, on-premises, or other clouds; Scales up to thousands of machines	No clusters to manage; seamless scaling; Integrated with Amazon ECS and EKS
Statistics
GitHub Stars 3.0K	GitHub Stars -
GitHub Forks 399	GitHub Forks -
Stacks 103	Stacks 650
Followers 284	Followers 413
Votes 26	Votes 0
Pros & Cons
Pros 5 Intelligent, fast, reliable 4 Runs most of Azure core services 3 Reliability 3 Open source 3 Superior programming models	Cons 2 Expensive
Integrations
No integrations available	Docker Amazon EC2 Container Service Amazon CloudWatch AWS IAM Amazon VPC

What are some alternatives to Azure Service Fabric, AWS Fargate?

Amazon EC2 Container Service

Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.

Google Kubernetes Engine

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.

Moleculer

It is a fault tolerant framework. It has built-in load balancer, circuit breaker, retries, timeout and bulkhead features. It is open source and free of charge project.

Azure Container Service

Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

Docker Cloud

Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.

Express Gateway

A cloud-native microservices gateway completely configurable and extensible through JavaScript/Node.js built for ALL platforms and languages. Enterprise features are FREE thanks to the power of 3K+ ExpressJS battle hardened modules.

ArangoDB Foxx

It is a JavaScript framework for writing data-centric HTTP microservices that run directly inside of ArangoDB.

Dapr

It is a portable, event-driven runtime that makes it easy for developers to build resilient, stateless and stateful microservices that run on the cloud and edge and embraces the diversity of languages and developer frameworks.

Related Comparisons

AWS Fargate vs Azure Service Fabric: What are the differences?

Key differences between AWS Fargate and Azure Service Fabric

1. Deployment model: AWS Fargate is a serverless compute engine for containers, where users only need to provide the containerized application without worrying about infrastructure management. On the other hand, Azure Service Fabric is a distributed systems platform that enables developers to build, deploy, and manage microservices-based applications. It provides more control over the underlying infrastructure, allowing users to choose between deploying containers or virtual machines.
2. Container orchestration: AWS Fargate leverages Amazon Elastic Container Service (ECS) for container orchestration. It automatically manages tasks, including scaling and load balancing. In comparison, Azure Service Fabric has its own built-in container orchestration capabilities, allowing users to deploy, manage, and scale containerized applications without requiring external tools or services.
3. Service discovery: AWS Fargate relies on Amazon Route 53 or third-party service discovery tools for service discovery within a VPC. Alternatively, Azure Service Fabric offers built-in service discovery and naming resolution, simplifying the process of locating and communicating with services within the cluster.
4. Programming models: Azure Service Fabric provides a choice of programming models for building microservices, including Reliable Services and Reliable Actors. These programming models offer features like state management, actor-based concurrency, and reliable messaging. AWS Fargate, being primarily a compute engine, does not provide similar built-in programming models specifically tailored for microservices development.
5. Platform maturity: AWS Fargate has been available since 2017 and has seen significant adoption and growth in the container ecosystem. Azure Service Fabric, on the other hand, has been available since 2015 and has been used by large-scale enterprise applications, demonstrating its maturity and robustness in deploying and managing complex distributed systems.
6. Pricing model: AWS Fargate pricing is based on per-second consumption of CPU and memory resources, allowing users to optimize costs based on actual usage. Azure Service Fabric pricing is based on virtual machine instances and storage, making it suitable for applications with predictable resource requirements.

AWS Fargate vs Azure Service Fabric

Overview

AWS Fargate vs Azure Service Fabric: What are the differences?