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AWS Lambda

19.8K
14.8K
+ 1
426
Azure Functions

562
586
+ 1
53
Kubeless

36
171
+ 1
0
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Pros of AWS Lambda
Pros of Azure Functions
Pros of Kubeless
  • 128
    No infrastructure
  • 82
    Cheap
  • 69
    Quick
  • 58
    Stateless
  • 47
    No deploy, no server, great sleep
  • 9
    AWS Lambda went down taking many sites with it
  • 6
    Easy to deploy
  • 6
    Extensive API
  • 6
    Auto scale and cost effective
  • 6
    Event Driven Governance
  • 5
    VPC Support
  • 3
    Integrated with various AWS services
  • 13
    Pay only when invoked
  • 10
    Great developer experience for C#
  • 7
    Multiple languages supported
  • 6
    Great debugging support
  • 4
    Can be used as lightweight https service
  • 3
    Easy scalability
  • 2
    Poor developer experience for C#
  • 2
    Event driven
  • 2
    Azure component events for Storage, services etc
  • 2
    WebHooks
  • 2
    Costo
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    Cons of AWS Lambda
    Cons of Azure Functions
    Cons of Kubeless
    • 6
      Cant execute ruby or go
    • 1
      Compute time limited
    • 0
      Can't execute PHP w/o significant effort
    • 1
      No persistent (writable) file system available
    • 1
      Poor support for Linux environments
    • 1
      Sporadic server & language runtime issues
    • 1
      Not suited for long-running applications
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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 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.

      What is Kubeless?

      Kubeless is a Kubernetes native serverless Framework. Kubeless supports both HTTP and event based functions triggers. It has a serverless plugin, a graphical user interface and multiple runtimes, including Python and Node.js.

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      Jobs that mention AWS Lambda, Azure Functions, and Kubeless as a desired skillset
      What companies use AWS Lambda?
      What companies use Azure Functions?
      What companies use Kubeless?

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      What tools integrate with AWS Lambda?
      What tools integrate with Azure Functions?
      What tools integrate with Kubeless?

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      Blog Posts

      GitHubPythonNode.js+47
      53
      70439
      GitHubDockerAmazon EC2+23
      12
      6402
      JavaScriptGitHubPython+42
      52
      20378
      What are some alternatives to AWS Lambda, Azure Functions, and Kubeless?
      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.
      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.
      AWS Batch
      It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.
      See all alternatives