Amazon AWS Lambada
Amazon AWS Lambada

AWS Lambda — Serverless Computing

In today’s world where speed and scalability are paramount, serverless services are playing a crucial role in the evolution of software architecture. AWS Lambda is one of Amazon’s most important services in this area, allowing developers to run their code without managing servers. With Lambda, you no longer need to set up, support, or maintain servers — just write your code, and Amazon does the rest.
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What is AWS Lambda?

AWS Lambda is a cloud computing service from Amazon Web Services that allows you to Codes in response to events Run — without having to set up or manage a server.

In simple terms, you just upload your code and Lambda automatically:

  • Allocates the necessary resources

  • Executes the code.

  • Manages scaling

  • And calculates the cost only based on the actual execution time

 Official documentation: AWS Lambda – Overview

AWS Lambda execution architecture

Lambda at runtime uses an isolated model called Execution Environment It uses a function that is created separately for each function.
This environment includes the following components:

  • Runtime Environment: Includes interpreter or JIT for Python, Node.js, Java, Go, C#, etc.

  • Handler Function: The main entry point of the code that AWS calls when an event occurs.

  • Event Object: Data input from a source such as S3, API Gateway, SNS, SQS, or Kinesis

  • Context Object: Includes information about scheduling, resources, and logs

Official documentation: Lambda Execution Environment and Lifecycle

Lifecycle in AWS Lambda

Each Lambda function has three main states:

  1. Init Phase: Creating a new execution environment (Initialization) and loading modules

  2. Invoke Phase: Executing code in response to an event

  3. Freeze/Reuse Phase: Keeping the environment in sleep mode for reuse (reducing Cold Start)

This mechanism causes Lambda responds in millisecondsBecause if subsequent requests reach the same Function, AWS reuses the previous environment.

Documentation: Lambda Lifecycle

Event-Driven Architecture with Lambda

Lambda is typically used alongside other AWS services to create an event-driven architecture.
For example:

  • S3 → Lambda: Execute code when file is uploaded

  • API Gateway → Lambda: Building a serverless REST API

  • DynamoDB Streams → Lambda: Executing a trigger on data changes

  • CloudWatch → Lambda: Automatic response to alerts

Key Benefits of AWS Lambda

1. No need for a server (Fully Managed)

You don't need to set up or manage any servers, operating systems, or infrastructure. AWS does everything automatically.
Documentation: Lambda Execution Environment

2. Pay only based on code execution

With Lambda, you only pay for the time your code is running.
This model Pay-per-Execution It saves a lot of money — especially for projects with variable requests.
Documentation: AWS Lambda Pricing

3. Automatic Scalability

Lambda automatically scales in response to the number of requests.
If a thousand users make requests at the same time, Lambda will provide the required resources without any additional configuration.
Documentation: Scaling and Concurrency in Lambda

4. Support for different programming languages

Lambda supports multiple languages, including:

  • Python

  • Node.js

  • Java

  • C# (.NET)

  • Go

  • Ruby

  • And even Custom Runtime For other languages

Documentation: Lambda Programming Languages

5. Full integration with other AWS services

AWS Lambda is fully integrated with other AWS services such as S3, DynamoDB, API Gateway, SNS, SQS and CloudWatch It has been merged.
For example, you can set your Lambda function to run automatically whenever a file is uploaded to S3.

Documentation: Integrating AWS Lambda with Other AWS Services

How AWS Lambda Works

The steps for executing a function in Lambda include the following:

  1. Writing Code (Function) In one of the supported languages

  2. Definition of Event Trigger Such as HTTP Request via API Gateway, or change in DynamoDB database

  3. Deploy In the AWS Lambda Console

  4. Automated and scalable execution In response to events

Documentation: Invoking AWS Lambda Functions

Common uses of AWS Lambda

  • Running the backend without the need for a server

  • Real-Time Processing

  • React to events in S3 or DynamoDB

  • Image or video processing

  • Creating Serverless APIs with Amazon API Gateway

  • Automated monitoring and notifications via CloudWatch

If you plan to run your project on AWS serverless infrastructure, you can use ITPiran cloud services 👇
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Lambda Technical Tips and Optimization

  • Optimize function execution time by reducing the size of dependencies.

  • From Environment Variables Use to adjust sensitive parameters.

  • Logs with Amazon CloudWatch Logs Check.

  • From Lambda Layers Use to share libraries between functions.

  • Using Provisioned ConcurrencyReduce the delay time (Cold Start).

Documentation: Performance Optimization for AWS Lambda

AWS Lambda vs EC2 Comparison

FeatureAWS LambdaAmazon EC2
Server managementCompletely serverlessRequires management and maintenance
Payment modelBased on code execution timeBased on the length of time the server has been up
ScalabilityAutomatic and instantaneousRequires Auto Scaling
Suitable applicationEvent-driven, API, automationWebsites, applications, databases

EC2 Documentation: Amazon EC2 Documentation

Conclusion

Service AWS Lambda It is one of Amazon's best tools for fast, scalable, and low-cost execution of code without the need for a server.
Lambda is an ideal option for projects that require real-time response and high flexibility.

If you plan to launch your project with AWS infrastructure, you can use our cloud services. 
Buy AWS / Amazon Web Services from ITPiran

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