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What is AWS Lambda?

Amazon Kinesis

Condition for AWS Lambda

  •  AWS Lambda is a serverless compute service that lets you run code without managing any servers.
     You simply upload your function code, and AWS handles:
      Servers
      Scaling
      High availability
      Maintenance
      Security patching
     You only pay for the time your code runs (per millisecond).
     AWS Lambda = Run code without servers + Pay only when it runs
     You don’t need to provision EC2 or containers.

Why Use AWS Lambda?

  •  Use AWS Lambda when you want to run small tasks or event-driven functions without managing any infrastructure.
     Common use cases:
     Event-driven apps
     API backends
     Cron jobs (scheduled tasks)
     IoT event processing
     Real-time file processing
     Real-time log or stream processing
     Image or video processing
     Notifications
     Lightweight microservices

Advantages of AWS Lambda

  •  No Server Management
     You don’t manage:
     servers
     scaling
     patching
     OS updates
     AWS handles everything.
  •  Pay Only for What You Use
     Pricing is based on:
     number of invocations
     execution duration (ms)
     No cost when Lambda is idle.
     Perfect for:
     unpredictable workloads
     low-traffic apps
  •  Auto Scaling Built-In
     Lambda automatically scales:
     from 1 request
     to thousands per second
     No manual configuration.
  •  Easy Integration with AWS Services
     Lambda works seamlessly with:
     API Gateway
     S3
     DynamoDB
     SQS
     SNS
     CloudWatch
     Kinesis
     RDS (via proxies)
     Perfect for building serverless architectures.
  •  Supports Multiple Programming Languages
     You can write functions in:
     Python
     Java
     Node.js
     Go
     .NET
     Ruby
     Custom runtimes
  •  Event-Driven Architecture
     Lambda automatically triggers when events occur:
     File uploaded → S3 triggers Lambda
     Message arrives → SQS triggers Lambda
     Event logged → CloudWatch triggers Lambda
     Makes automation simple.
  •  Highly Available
     Built on multiple Availability Zones
     → No single point of failure.

Disadvantages of AWS Lambda

  •  Cold Start Issue
     If Lambda is idle for a long time, first call may be slow.
     Especially for:
     Java
     .NET
     Large memory configs
  •  Hard 15-Minute Timeout Limit
     Lambda cannot run longer than 15 minutes.
     Not suitable for:
     Long-running jobs
     Large data processing
     Custom servers
  •  Limited Hardware Control
     You cannot control:
     CPU allocation (tied to memory)
     Networking
     OS-level configs
     Not good for specialized workloads.
  •  Debugging Can Be Difficult
     Compared to EC2 or Containers:
     No SSH
     No interactive debugging
     Logs only via CloudWatch
  •  Vendor Lock-in
     Lambda tightly integrated with AWS.
     Moving to another cloud requires refactoring.
  •  Not Ideal for Heavy or Consistent Workloads
     If your app is running continuously,
     EC2 or ECS/Fargate may be cheaper.

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