Skip to content

PUT and DELETE Requests

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.

export const handler = async (event) => {
  const { httpMethod, pathParameters, queryStringParameters } = event;
  const id = pathParameters?.id;

  if (httpMethod === 'GET') {
    return respond(200, { id, message: 'ok' });
  }

  return respond(405, { message: 'Method not allowed' });
};

function respond(statusCode, body) {
  return {
    statusCode,
    headers: { 'content-type': 'application/json' },
    body: JSON.stringify(body),
  };
}

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.