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AWS Lambda

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10.1K
+ 1
408
Serverless

971
878
+ 1
21
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AWS Lambda vs Serverless: What are the differences?

Developers describe AWS Lambda as "Automatically run code in response to modifications to objects in Amazon S3 buckets, messages in Kinesis streams, or updates in DynamoDB". 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. On the other hand, Serverless is detailed as "The most widely-adopted toolkit for building serverless applications". 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 Lambda and Serverless can be categorized as "Serverless / Task Processing" tools.

"No infrastructure" is the top reason why over 121 developers like AWS Lambda, while over 10 developers mention "API integration " as the leading cause for choosing Serverless.

Serverless is an open source tool with 30.9K GitHub stars and 3.43K GitHub forks. Here's a link to Serverless's open source repository on GitHub.

9GAG, Asana, and CircleCI are some of the popular companies that use AWS Lambda, whereas Serverless is used by Plista GmbH, Droplr, and Hammerhead. AWS Lambda has a broader approval, being mentioned in 1022 company stacks & 612 developers stacks; compared to Serverless, which is listed in 117 company stacks and 44 developer stacks.

Decisions about AWS Lambda and Serverless

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 — 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

See more
Pros of AWS Lambda
Pros of Serverless
  • 126
    No infrastructure
  • 80
    Cheap
  • 67
    Quick
  • 57
    Stateless
  • 46
    No deploy, no server, great sleep
  • 9
    AWS Lambda went down taking many sites with it
  • 5
    Extensive API
  • 5
    Event Driven Governance
  • 5
    Easy to deploy
  • 4
    Auto scale and cost effective
  • 3
    VPC Support
  • 1
    Integrated with various AWS services
  • 12
    API integration
  • 6
    Supports cloud functions for Google, Azure, and IBM
  • 2
    Lower cost
  • 1
    Auto scale
  • 0
    Openwhisk

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Cons of AWS Lambda
Cons of Serverless
  • 5
    Cant execute ruby or go
  • 0
    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

    - No public GitHub repository available -

    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 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.

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

    What companies use AWS Lambda?
    What companies use Serverless?

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    What tools integrate with AWS Lambda?
    What tools integrate with Serverless?

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

    Blog Posts

    GitHubPythonNode.js+47
    43
    67704
    GitHubDockerAmazon EC2+23
    12
    6300
    JavaScriptGitHubPython+42
    52
    19242
    What are some alternatives to AWS Lambda and Serverless?
    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.
    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
    Interest over time
    How much does AWS Lambda cost?
    How much does Serverless cost?
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