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AWS Lambda vs Azure Service Fabric: What are the differences?
- Deployment and Scaling: AWS Lambda is a serverless computing service where the infrastructure is managed by AWS, allowing developers to focus on writing code without worrying about server management. Azure Service Fabric, on the other hand, is a microservices platform that provides more control over deployment and scaling, making it suitable for complex applications that require fine-tuning of resources.
- Programming Languages: AWS Lambda supports a variety of programming languages such as Node.js, Python, Java, and C#, while Azure Service Fabric has wider language support due to its ability to work with any language that can be compiled to a .NET assembly, giving developers more flexibility in language choice.
- Pricing Model: AWS Lambda follows a pay-as-you-go pricing model based on the number of requests and execution time, making it cost-effective for sporadic workloads. In contrast, Azure Service Fabric requires a monthly fee per virtual machine, potentially resulting in higher costs for sustained and resource-intensive applications.
- High Availability: AWS Lambda automatically scales the infrastructure to handle incoming requests, ensuring high availability without user intervention. Azure Service Fabric provides high availability through its built-in stateful and stateless services, allowing developers to design applications that can withstand failures and maintain uptime.
- Development Environment: AWS Lambda provides a simple development environment with limited debugging capabilities, making it suitable for quick prototyping and testing. Azure Service Fabric offers a more comprehensive development environment with rich debugging tools and integration with Visual Studio, ideal for complex applications that require thorough testing and debugging.
- Integration with Other Services: AWS Lambda seamlessly integrates with various AWS services such as S3, DynamoDB, and API Gateway, enabling developers to build serverless architectures. Azure Service Fabric integrates well with other Azure services, providing a cohesive ecosystem for building and deploying applications that leverage Azure's infrastructure.
In Summary, AWS Lambda is a serverless computing service with automated scalability, while Azure Service Fabric is a microservices platform offering more control over deployment and scaling.
Decisions about AWS Lambda and Azure Service Fabric
Tim Nolet
CTO at Checkly · | 16 upvotes · 351.2K views
When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:
- Developer Experience trumps everything.
- AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
- If you need geographic spread, AWS is lonely at the top.
Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:
- Pure, uncut, self hosted Kubernetes — way too much complexity
- Managed Kubernetes in various flavors — still too much complexity
- Zeit — Maybe, but no Docker support
- Elastic Beanstalk — Maybe, bit old but does the job
- Heroku
- Lambda
It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?
I chopped that question up into the following categories:
- Developer Experience / DX 🤓
- Ops Experience / OX 🐂 (?)
- Cost 💵
- Lock in 🔐
Read the full post linked below for all details
Manage your open source components, licenses, and vulnerabilities
Learn MorePros of AWS Lambda
Pros of Azure Service Fabric
Pros of AWS Lambda
- No infrastructure129
- Cheap83
- Quick70
- Stateless59
- No deploy, no server, great sleep47
- AWS Lambda went down taking many sites with it12
- Event Driven Governance6
- Extensive API6
- Auto scale and cost effective6
- Easy to deploy6
- VPC Support5
- Integrated with various AWS services3
Pros of Azure Service Fabric
- Intelligent, fast, reliable5
- Runs most of Azure core services4
- Reliability3
- Superior programming models3
- More reliable than Kubernetes3
- Open source3
- Quickest recovery and healing in the world2
- Deploy anywhere1
- Is data storage technology1
- Battle hardened in Azure > 10 Years1
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Cons of AWS Lambda
Cons of Azure Service Fabric
Cons of AWS Lambda
- Cant execute ruby or go7
- Compute time limited3
- Can't execute PHP w/o significant effort1
Cons of Azure Service Fabric
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What is AWS Lambda?
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
What is Azure Service Fabric?
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.
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What companies use Azure Service Fabric?
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What tools integrate with AWS Lambda?
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What are some alternatives to AWS Lambda and Azure Service Fabric?
Serverless
Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Azure Functions
Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
AWS Step Functions
AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.