AWS Lambda vs Kubeless: What are the differences?
What is AWS Lambda? 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.
What is Kubeless? Kubernetes Native Serverless Framework. 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.
AWS Lambda and Kubeless can be primarily classified as "Serverless / Task Processing" tools.
Kubeless is an open source tool with 4.82K GitHub stars and 499 GitHub forks. Here's a link to Kubeless's open source repository on GitHub.
What is AWS Lambda?
What is Kubeless?
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Why do developers choose Kubeless?
What are the cons of using Kubeless?
What tools integrate with AWS Lambda?
I switched my auto chatbot to run in lambda and it was peace !
To use Pusher's presence channel each client must be connected through a backend authentication system. While Pointer doesn't actually have any login based authentication it still needed a backend system to connect users to the proper channel.
A small function was built that only gets called when a user first joins a session. After the user is authenticated they can communicate directly with other clients on the same channel. This made the authentication code the perfect candidate for a serverless function. Using AWS Lambda through Netlify's Functions feature made it a breeze to host.
Useful for personal projects where I have extremely low traffic. Scalability not taken advantage of for personal projects because of lack of funds.
If using Node.js, always paired with the "serverless-http" NPM package, so that I can code it as an Express app, not having to code according to AWS Lambda handler style.
Used equally as often as Google Cloud Functions, depending on where the rest of the tech stack is hosted.
We're moving almost the entirety of our backend processes into Lambda. This has given us vast cost savings in terms of pure infrastructure billing - and time worrying about platform and scale. This move has also made our architecture almost entirely event-driven - another huge benefit as our business itself is inherently event-driven.
I mostly use AWS Lambda for triggering DevOps-related actions, like triggering an alarm or a deployment, or scheduling a backup.
I haven’t gone totally “serverless” and I’m not planning to go 100% serverless anytime soon.
But when I do, AWS Lambda will be an important element in my serverless setup.