Understanding put and delete requests helps you work with AWS Lambda confidently. Here you will learn the core ideas behind put and delete requests, see working code, and pick up best practices used on real teams.
PUT and DELETE Requests Overview
At its core, put and delete requests is about doing one thing well inside your AWS Lambda project. Once you understand the pattern, you can apply it consistently across features and teams.
Good put and delete requests pays off across the whole codebase: fewer surprises, easier testing, and smoother onboarding. The snippet below is a solid starting point.
This handler reads request details from the API Gateway event and returns a proxy-integration response.
PUT and DELETE Requests Example
// handler.mjs
export const handler = async (event, context) => {
// 1. read input from the event
// 2. do the work
// 3. return a response (or throw on error)
};
Start from a minimal PUT and DELETE Requests example and grow it only as needed.
Keep configuration explicit so PUT and DELETE Requests behaves the same in every environment.
Name things clearly so teammates understand your PUT and DELETE Requests at a glance.
Add tests around PUT and DELETE Requests early to lock in expected behaviour.
AWS Lambda Cheatsheet
Handy reference for working with put and delete requests in AWS Lambda and Node.js.
Task
Example
Purpose
Define handler
export const handler = async (event) => {}
Entry point AWS invokes
Read input
event.body, event.Records
Access request or trigger data
Return response
{ statusCode, body }
Reply through API Gateway
Reuse SDK client
const c = new S3Client({}) (module scope)
Faster warm invocations
Env config
process.env.TABLE_NAME
Externalise settings
Log
console.log(JSON.stringify(obj))
Structured CloudWatch logs
Deploy
sam deploy / serverless deploy
Ship the function
How PUT and DELETE Requests Works in AWS Lambda
PUT and DELETE Requests runs inside the managed Lambda execution environment. AWS provisions a micro-VM, loads your Node.js code, runs any module-scope initialisation once, and then invokes your handler for each event.
This handler reads request details from the API Gateway event and returns a proxy-integration response.
Handlers should be small and do one job well.
Initialise SDK clients and config outside the handler to reuse them on warm starts.
Return quickly and let event sources handle retries where possible.
Emit structured logs so CloudWatch and X-Ray can correlate activity.
Practical Guidance for PUT and DELETE Requests
On real projects, put and delete requests works best when it is observable, secure, and cheap to run. Grant least-privilege IAM, validate every input, and keep the deployment package small.
Concern
Recommendation
Security
Least-privilege IAM role, validate all input
Performance
Reuse clients, right-size memory, avoid heavy cold starts
Reliability
Idempotent handlers, dead-letter queues for failures
Observability
Structured logs, metrics, and X-Ray tracing
Common Mistakes
Skipping error handling and edge cases when wiring up put and delete requests.
Leaving put and delete requests untested, so regressions slip into production.
Over-engineering put and delete requests before you actually need the extra flexibility.
Ignoring documentation, which makes put and delete requests hard for the next developer to change.
Key Takeaways
PUT and DELETE Requests is a core part of working effectively with AWS Lambda.
Start small and keep put and delete requests focused on a single responsibility.
Apply consistent patterns so put and delete requests scales across your project.
Test and document put and delete requests to keep it maintainable over time.
Pro Tip
Bookmark this put and delete requests pattern and reuse it. Consistency across your AWS Lambda codebase is worth more than clever one-off solutions.
You now understand put and delete requests in AWS Lambda and how to apply it in real projects. Next, continue with Path and Query Parameters to keep building your skills.