07 / 08

What are some typical use cases for Lambda functions?

AWS Lambda is a serverless compute service that automatically manages the compute fleet and scales based on demand. It's best used for short-lived, event-driven tasks. Below are typical use cases where Lambda excels.

Common Use Cases for AWS Lambda
  1. 1

    Real-time file processing (e.g., image resizing or video transcoding after upload to S3)

  2. 2

    Data transformation pipelines (e.g., ETL jobs triggered by data uploads or stream updates)

  3. 3

    Webhooks and APIs (e.g., responding to HTTP requests via API Gateway)

  4. 4

    Automation of cloud tasks (e.g., cleaning up unused resources, backup tasks)

  5. 5

    Real-time stream processing (e.g., processing records from Kinesis or DynamoDB Streams)

  6. 6

    Chatbot or voice assistant backend logic (e.g., Amazon Lex or Alexa)

  7. 7

    Scheduled tasks and cron jobs (e.g., running a function every night)

  8. 8

    Authentication triggers (e.g., post-login hooks in Cognito)

  9. 9

    IoT data processing (e.g., processing sensor data from IoT Core)

Difficulty: 5/10
Topics: event-driven, serverless-patterns, cost-optimization

Scenario Questions

0-2 years experience
  1. 1

    How would you use Lambda to automatically resize images when they're uploaded to an S3 bucket?

  2. 2

    What happens if your Lambda function times out while processing a large file from S3?

  3. 3

    You need to run a database cleanup script every night at 2 AM. How would you set that up with Lambda?

2-5 years experience
  1. 1

    You're building a Stripe webhook handler with API Gateway and Lambda. The function occasionally times out during traffic spikes. How would you debug and fix this?

  2. 2

    Your team wants to move a nightly cron job from an EC2 instance to Lambda. What tradeoffs would you evaluate before migrating?

  3. 3

    A Lambda function processing SQS messages starts throwing 'RequestId not found' errors. What could cause this and how would you investigate?

5-8 years experience
  1. 1

    Design a serverless image processing pipeline using Lambda, S3, and Step Functions that handles 10,000 uploads per minute. Where are the bottlenecks?

  2. 2

    Your Lambda functions suffer from cold starts that hurt P99 latency. What mitigation strategies would you evaluate and how would you measure their impact?

  3. 3

    You need to incrementally migrate a monolithic Express.js application to Lambda. How would you approach the migration without a big-bang rewrite?

8+ years experience
  1. 1

    Your organization has 500+ Lambda functions across teams with inconsistent runtimes, logging, and deployment practices. How would you standardize governance without slowing feature delivery?

  2. 2

    A critical legacy system runs on Lambda with Node.js 12 (end-of-life). Plan a migration strategy that minimizes risk and coordinates across five dependent teams.

  3. 3

    You're evaluating Lambda versus ECS containers for a new high-throughput, low-latency service. What architectural criteria would drive the decision, and how would you validate them?

Follow-up Questions

  • How does Lambda pricing compare to EC2 for sporadic workloads?
  • What are the limitations of Lambda for long-running tasks?
  • How would you handle stateful operations in a serverless architecture?