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AWS Lambda vs Cloudflare Workers: What are the differences?

Introduction:

AWS Lambda and Cloudflare Workers are two popular serverless computing services that allow developers to run code without managing servers. However, there are key differences between the two platforms that developers should consider when choosing which one to use for their projects.

  1. Deployment Environment: AWS Lambda runs on the AWS cloud infrastructure, allowing users to deploy and run functions in the AWS ecosystem. In contrast, Cloudflare Workers run on Cloudflare's global network, allowing for lower latency and faster response times due to its distributed edge locations.

  2. Programming Languages: AWS Lambda supports a wide range of programming languages such as Node.js, Python, Java, and C#, while Cloudflare Workers primarily support JavaScript for writing serverless functions, limiting the choice of languages available for developers.

  3. Pricing Model: AWS Lambda charges users based on the number of requests and the duration of each request, along with any additional services used. On the other hand, Cloudflare Workers offer a pay-as-you-go pricing model based on the number of invocations, CPU time, and memory usage, potentially leading to cost savings for certain workloads.

  4. Integration with Other AWS Services: AWS Lambda seamlessly integrates with other AWS services like S3, DynamoDB, and API Gateway, allowing developers to build complex serverless applications using a wide range of AWS services. In comparison, Cloudflare Workers have limited integration with external services and are primarily designed to work within the Cloudflare ecosystem.

  5. Performance: Cloudflare Workers have the advantage of running on Cloudflare's global network of data centers, resulting in lower latency and faster response times for users accessing applications deployed with Workers. AWS Lambda, while powerful, may experience slightly higher latency due to the nature of cloud computing infrastructure.

  6. Scalability: AWS Lambda provides auto-scaling capabilities to handle varying workloads and can scale functions based on demand. Cloudflare Workers also provide scalability but are limited by the capacity of Cloudflare's network, which may affect performance during sudden traffic spikes.

In Summary, AWS Lambda and Cloudflare Workers differ in their deployment environment, programming languages, pricing models, integration with other services, performance, and scalability, offering developers a choice based on their specific requirements and use cases.

Decisions about AWS Lambda and Cloudflare Workers
Tim Nolet

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.
The setup

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 โ€” way too much complexity
  • Managed Kubernetes in various flavors โ€” still too much complexity
  • Zeit โ€” Maybe, but no Docker support
  • Elastic Beanstalk โ€” 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 ๐Ÿค“
  • Ops Experience / OX ๐Ÿ‚ (?)
  • Cost ๐Ÿ’ต
  • Lock in ๐Ÿ”

Read the full post linked below for all details

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Pros of AWS Lambda
Pros of Cloudflare Workers
  • 129
    No infrastructure
  • 83
    Cheap
  • 70
    Quick
  • 59
    Stateless
  • 47
    No deploy, no server, great sleep
  • 12
    AWS Lambda went down taking many sites with it
  • 6
    Event Driven Governance
  • 6
    Extensive API
  • 6
    Auto scale and cost effective
  • 6
    Easy to deploy
  • 5
    VPC Support
  • 3
    Integrated with various AWS services
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Cons of AWS Lambda
    Cons of Cloudflare Workers
    • 7
      Cant execute ruby or go
    • 3
      Compute time limited
    • 1
      Can't execute PHP w/o significant effort
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      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 Cloudflare Workers?

      Build serverless applications on Cloudflare's global cloud network of 165 data centers. It provides a lightweight JavaScript execution environment that allows developers to augment existing applications or create entirely new ones without configuring or maintaining infrastructure.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use AWS Lambda?
      What companies use Cloudflare Workers?
      Manage your open source components, licenses, and vulnerabilities
      Learn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with AWS Lambda?
      What tools integrate with Cloudflare Workers?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      GitHubPythonNode.js+47
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      GitHubDockerAmazon EC2+23
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      JavaScriptGitHubPython+42
      53
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      What are some alternatives to AWS Lambda and Cloudflare Workers?
      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.
      See all alternatives