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.
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
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
Sign up to add or upvote prosMake informed product decisions
Sign up to add or upvote consMake informed product decisions
What is AWS Lambda?
What is Serverless?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions