Tuesday, August 5, 2025

Amazon EC2 Vs AWS Lambda.

 

Here’s twtech clear comparison between Amazon EC2 and AWS Lambda... focusing on their use cases, differences, and when to use one over the other:

 Quick Summary:

Feature

Amazon EC2

AWS Lambda

Type.

Virtual Machine (IaaS)

Serverless Function (FaaS)

Provisioning.

twtech manages instances

Fully managed by AWS

Scalability.

Manual or auto scaling

Automatically scales

Pricing Model.

Pay for uptime (by the second/minute)

Pay per request and execution time

Startup Time.

Slower (seconds to minutes)

Very fast (milliseconds)

Best for.

Long-running apps, custom OS/runtime

Short tasks, event-driven workloads

Max Execution Time.

Unlimited

15 minutes max per execution

State Management.

Can maintain state

Stateless (must store state externally)

Use Case Examples.

Web servers, databases, containers

Image resize, API backend, cron jobs

 When to Use Amazon EC2:

  • twtech needs full control over the OS, runtime, and storage.
  • twtech is running legacy applications that can’t be easily split into functions.
  • twtech workload requires long-running processes (e.g., web servers, game servers).
  • twtech is deploying containers using ECS or Kubernetes on EC2.
  • twtech needs to install custom software or drivers.

When to Use AWS Lambda:

  • twtech application is event-driven (e.g., S3 upload → trigger code).
  • twtech wants to reduce operational overhead (no server management).
  • twtech has short, lightweight, stateless tasks.
  • twtech is building APIs (using Lambda + API Gateway).
  • twtech wants automatic, cost-efficient scaling (only pay for usage).

 Cost Comparison (Simplified):

Workload Type

Better Option

Always-on service.

EC2 (predictable cost)

Occasional tasks.

Lambda (pay-per-use)

Bursty traffic.

Lambda (auto-scales)

Example Scenario:

  •  Hosting a web app:
    • Simple backend (low traffic) → Lambda
    • High traffic or complex server config → EC2
  •  Image processing after S3 upload:
    • Use Lambda for real-time, event-driven execution.

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