API Gateway

 API Gateway

Amazon API Gateway is one of the most powerful and widely used services in the AWS cloud ecosystem. It helps developers create, publish, secure, monitor, and manage APIs at scale. Whether you are building serverless applications, microservices architecture, HTTP APIs, or RESTful web services, API Gateway acts as the central entry point for your application. These notes cover core concepts, components, integrations, pricing, hands-on examples, and best practicesβ€”making it highly useful for AWS learners, beginners, students, and cloud engineers preparing for interviews and certifications.

Introduction to AWS API Gateway

API Gateway is a fully managed service designed to create, deploy, and manage APIs. It acts as a β€œfront door” for applications to access business logic, data, or functionality from backend services such as AWS Lambda, EC2, VPC, DynamoDB, RDS, and on-premise servers. It supports multiple API types like REST APIs, HTTP APIs, WebSocket APIs, and supports features like rate limiting, authorization, API keys, usage plans, caching, throttling, monitoring, and request/response transformation.

API Gateway removes the overhead of managing infrastructure. It scales automatically, supports high availability, and enables secure delivery of APIs using AWS Identity & Access Management (IAM), Amazon Cognito, Lambda authorizers, OIDC providers, and resource policies.

Why API Gateway Is Important

API Gateway serves as the backbone for modern application architectures, particularly microservices and serverless solutions. Some major reasons why AWS API Gateway is essential:

  • It provides a centralized, managed solution for API creation and hosting.
  • It enables secure communication using multiple authentication mechanisms.
  • It supports high scalability and performance without manual configurations.
  • It integrates seamlessly with AWS Lambda, making it the best choice for serverless applications.
  • It supports API versioning, environment management, and lifecycle control.
  • It provides built-in monitoring through CloudWatch metrics and logging.
  • It simplifies backend load handling using caching and throttling.

Features of AWS API Gateway

API Gateway offers a wide range of advanced cloud features, making it suitable for enterprise-level API management. Below are the most important features every learner should understand:

1. Fully Managed Service

API Gateway requires no servers, no patching, no scaling management. AWS automatically handles infrastructure availability and fault tolerance.

2. Multiple API Types Support

API Gateway supports:

  • REST APIs (Full-featured, powerful, supports transformations)
  • HTTP APIs (Low-cost, high-performance, modern architecture)
  • WebSocket APIs (Real-time two-way communication)

3. High Performance & Auto Scaling

API Gateway can handle thousands of requests per second automatically without additional configuration.

4. Authorization & Authentication

Supports:

  • AWS IAM permissions
  • Cognito User Pools Authentication
  • OAuth/OpenID Connect
  • Custom Lambda Authorizers

5. Caching Support

API Gateway caching reduces latency and improves performance by storing frequently accessed data.

6. Throttling & Rate Limiting

It protects backend systems by limiting requests at the API, stage, and method level.

7. Integrations

API Gateway integrates with:

  • AWS Lambda
  • HTTP/HTTPS endpoints
  • Amazon DynamoDB
  • AWS Step Functions
  • Amazon Kinesis
  • VPC private integrations
  • Amazon SQS, SNS

8. Monitoring & Logging

API Gateway provides detailed monitoring with:

  • CloudWatch logs
  • Execution metrics
  • Latency reports
  • Integration error logs

9. API Versioning & Staging

You can maintain multiple versions using dev, test, and production stages.

10. Cost-Effective

API Gateway follows a pay-per-request model, making it cost-effective for businesses of all sizes.

Types of APIs in API Gateway

API Gateway supports three major API types. Understanding when to use each type is crucial for selecting the right architecture.

1. REST APIs

REST APIs are powerful, feature-rich, and include support for request/response transformations, custom domain names, and authorizers. These are used in enterprise-grade applications needing advanced capabilities.

2. HTTP APIs

Simpler, faster, and cheaper than REST APIs. HTTP APIs are best suited for serverless applications or lightweight microservices.

3. WebSocket APIs

WebSocket APIs enable real-time communication, such as chat applications, live dashboards, notifications, or gaming applications.

Core Components of API Gateway

1. Resources & Methods

Resources represent endpoints (e.g., /users, /products). Methods represent HTTP actions (GET, POST, PUT, DELETE).

2. Stages

Stages represent different environments like development, staging, and production.

3. Integrations

Integration defines how API Gateway connects with backend services.

4. Deployments

Every update must be deployed to a stage for it to take effect.

5. Models & Mappings

Models define API structure using JSON schemas. Mapping templates modify input/output data using Velocity Template Language (VTL).

API Gateway + AWS Lambda

One of the most common architectures. Lambda executes the backend logic while API Gateway serves as the API layer.

API Gateway + DynamoDB

Used to build serverless databases without servers. Requests from API Gateway trigger DynamoDB operations through Lambda or direct service integrations.

API Gateway + EC2

API Gateway routes requests to EC2 instances running any backend software (Node.js, Python, Java, PHP, etc.).

API Gateway + Private VPC Integrations

Allows connecting to VPC endpoints and internal resources securely.

Create REST API with Lambda Integration

Below is an example of creating a simple REST API using AWS Lambda and API Gateway.

Step 1: Create Lambda Function


exports.handler = async (event) => {
  const response = {
    statusCode: 200,
    body: JSON.stringify({ message: "Hello from Lambda API!" }),
  };
  return response;
};

Step 2: Create API in API Gateway

1. Open AWS Console β†’ API Gateway 2. Choose Create API β†’ REST API 3. Create a new resource /hello 4. Add GET method 5. Select Lambda Integration 6. Deploy API to a stage (e.g., prod)

Step 3: Test API

After deployment, copy the Invoke URL:


https://abc123.execute-api.region.amazonaws.com/prod/hello

Open the URL in browser β†’ You should see JSON response from Lambda.

Request and Response Transformation

API Gateway uses Velocity Template Language (VTL) to manipulate requests/responses. This allows modifying JSON structure, filtering data, or injecting dynamic content.

Example of Request Transformation


{
  "username" : "$input.body.name",
  "email"    : "$input.body.email"
}

Example of Response Mapping


{
  "status": "success",
  "response_from_lambda": $input.json('$')
}

Security in API Gateway

1. API Keys

Used for tracking and controlling usage.

2. IAM Authorization

Signed requests using AWS credentials.

3. Cognito User Pools

Used for user authentication in mobile and web apps.

4. Lambda Authorizers

Custom logic to validate tokens, headers, or IP addresses.

5. Resource Policies

Restrict access based on VPC, IP range, or specific AWS accounts.

Throttling and Quotas

API Gateway protects backend services using:

  • Rate limits (requests per second)
  • Burst limits (short-term spikes)
  • Usage plans (per API key)

API Gateway Caching

Caching improves application performance and reduces backend load. You can set cache size (0.5 GB to 237 GB). You can enable caching per resource or method.

Monitoring API Performance

API Gateway integrates with Amazon CloudWatch to monitor:

  • 4XX and 5XX errors
  • Latency
  • Integration errors
  • Cache hit/miss
  • Request count

 API Gateway

  • Use HTTP APIs for low-cost high-performance serverless applications.
  • Use caching to reduce Lambda and backend load.
  • Implement request validation to reduce downstream errors.
  • Use custom domains with SSL certificates for production APIs.
  • Use CloudWatch for monitoring and trace integration with X-Ray.
  • Implement authentication using Cognito or Lambda Authorizers.
  • Version APIs for safe deployment across environments.
  • Use throttling to protect your backend from overload.

 Cases of API Gateway

  • Building serverless web applications
  • Developing secure RESTful APIs
  • Building microservices architecture
  • Chat applications using WebSocket APIs
  • IoT device communication
  • Integrating mobile and web applications
  • Enterprise API-driven workflows

API Gateway Pricing Overview

API Gateway follows a pay-as-you-go model. Pricing depends on:

  • Number of API calls
  • Data transfer charges
  • Cache memory size
  • Custom domain usage
  • WebSocket connection minutes

HTTP APIs are cheaper compared to REST APIs and offer major cost savings for serverless workloads.

API Gateway is one of the key serverless and API management services in AWS. It simplifies API creation, enables secure integration, reduces operational costs, and provides powerful monitoring capabilities. With support for REST, HTTP, and WebSocket APIs, it can handle applications from simple serverless functions to enterprise-level microservices. Understanding API Gateway is essential for AWS Developers, Cloud Engineers, and anyone pursuing certifications like AWS Associate and Professional exams.

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AWS

Beginner 5 Hours

 API Gateway

Amazon API Gateway is one of the most powerful and widely used services in the AWS cloud ecosystem. It helps developers create, publish, secure, monitor, and manage APIs at scale. Whether you are building serverless applications, microservices architecture, HTTP APIs, or RESTful web services, API Gateway acts as the central entry point for your application. These notes cover core concepts, components, integrations, pricing, hands-on examples, and best practices—making it highly useful for AWS learners, beginners, students, and cloud engineers preparing for interviews and certifications.

Introduction to AWS API Gateway

API Gateway is a fully managed service designed to create, deploy, and manage APIs. It acts as a “front door” for applications to access business logic, data, or functionality from backend services such as AWS Lambda, EC2, VPC, DynamoDB, RDS, and on-premise servers. It supports multiple API types like REST APIs, HTTP APIs, WebSocket APIs, and supports features like rate limiting, authorization, API keys, usage plans, caching, throttling, monitoring, and request/response transformation.

API Gateway removes the overhead of managing infrastructure. It scales automatically, supports high availability, and enables secure delivery of APIs using AWS Identity & Access Management (IAM), Amazon Cognito, Lambda authorizers, OIDC providers, and resource policies.

Why API Gateway Is Important

API Gateway serves as the backbone for modern application architectures, particularly microservices and serverless solutions. Some major reasons why AWS API Gateway is essential:

  • It provides a centralized, managed solution for API creation and hosting.
  • It enables secure communication using multiple authentication mechanisms.
  • It supports high scalability and performance without manual configurations.
  • It integrates seamlessly with AWS Lambda, making it the best choice for serverless applications.
  • It supports API versioning, environment management, and lifecycle control.
  • It provides built-in monitoring through CloudWatch metrics and logging.
  • It simplifies backend load handling using caching and throttling.

Features of AWS API Gateway

API Gateway offers a wide range of advanced cloud features, making it suitable for enterprise-level API management. Below are the most important features every learner should understand:

1. Fully Managed Service

API Gateway requires no servers, no patching, no scaling management. AWS automatically handles infrastructure availability and fault tolerance.

2. Multiple API Types Support

API Gateway supports:

  • REST APIs (Full-featured, powerful, supports transformations)
  • HTTP APIs (Low-cost, high-performance, modern architecture)
  • WebSocket APIs (Real-time two-way communication)

3. High Performance & Auto Scaling

API Gateway can handle thousands of requests per second automatically without additional configuration.

4. Authorization & Authentication

Supports:

  • AWS IAM permissions
  • Cognito User Pools Authentication
  • OAuth/OpenID Connect
  • Custom Lambda Authorizers

5. Caching Support

API Gateway caching reduces latency and improves performance by storing frequently accessed data.

6. Throttling & Rate Limiting

It protects backend systems by limiting requests at the API, stage, and method level.

7. Integrations

API Gateway integrates with:

  • AWS Lambda
  • HTTP/HTTPS endpoints
  • Amazon DynamoDB
  • AWS Step Functions
  • Amazon Kinesis
  • VPC private integrations
  • Amazon SQS, SNS

8. Monitoring & Logging

API Gateway provides detailed monitoring with:

  • CloudWatch logs
  • Execution metrics
  • Latency reports
  • Integration error logs

9. API Versioning & Staging

You can maintain multiple versions using dev, test, and production stages.

10. Cost-Effective

API Gateway follows a pay-per-request model, making it cost-effective for businesses of all sizes.

Types of APIs in API Gateway

API Gateway supports three major API types. Understanding when to use each type is crucial for selecting the right architecture.

1. REST APIs

REST APIs are powerful, feature-rich, and include support for request/response transformations, custom domain names, and authorizers. These are used in enterprise-grade applications needing advanced capabilities.

2. HTTP APIs

Simpler, faster, and cheaper than REST APIs. HTTP APIs are best suited for serverless applications or lightweight microservices.

3. WebSocket APIs

WebSocket APIs enable real-time communication, such as chat applications, live dashboards, notifications, or gaming applications.

Core Components of API Gateway

1. Resources & Methods

Resources represent endpoints (e.g., /users, /products). Methods represent HTTP actions (GET, POST, PUT, DELETE).

2. Stages

Stages represent different environments like development, staging, and production.

3. Integrations

Integration defines how API Gateway connects with backend services.

4. Deployments

Every update must be deployed to a stage for it to take effect.

5. Models & Mappings

Models define API structure using JSON schemas. Mapping templates modify input/output data using Velocity Template Language (VTL).

API Gateway + AWS Lambda

One of the most common architectures. Lambda executes the backend logic while API Gateway serves as the API layer.

API Gateway + DynamoDB

Used to build serverless databases without servers. Requests from API Gateway trigger DynamoDB operations through Lambda or direct service integrations.

API Gateway + EC2

API Gateway routes requests to EC2 instances running any backend software (Node.js, Python, Java, PHP, etc.).

API Gateway + Private VPC Integrations

Allows connecting to VPC endpoints and internal resources securely.

Create REST API with Lambda Integration

Below is an example of creating a simple REST API using AWS Lambda and API Gateway.

Step 1: Create Lambda Function

exports.handler = async (event) => { const response = { statusCode: 200, body: JSON.stringify({ message: "Hello from Lambda API!" }), }; return response; };

Step 2: Create API in API Gateway

1. Open AWS Console → API Gateway 2. Choose Create API → REST API 3. Create a new resource /hello 4. Add GET method 5. Select Lambda Integration 6. Deploy API to a stage (e.g., prod)

Step 3: Test API

After deployment, copy the Invoke URL:

https://abc123.execute-api.region.amazonaws.com/prod/hello

Open the URL in browser → You should see JSON response from Lambda.

Request and Response Transformation

API Gateway uses Velocity Template Language (VTL) to manipulate requests/responses. This allows modifying JSON structure, filtering data, or injecting dynamic content.

Example of Request Transformation

{ "username" : "$input.body.name", "email" : "$input.body.email" }

Example of Response Mapping

{ "status": "success", "response_from_lambda": $input.json('$') }

Security in API Gateway

1. API Keys

Used for tracking and controlling usage.

2. IAM Authorization

Signed requests using AWS credentials.

3. Cognito User Pools

Used for user authentication in mobile and web apps.

4. Lambda Authorizers

Custom logic to validate tokens, headers, or IP addresses.

5. Resource Policies

Restrict access based on VPC, IP range, or specific AWS accounts.

Throttling and Quotas

API Gateway protects backend services using:

  • Rate limits (requests per second)
  • Burst limits (short-term spikes)
  • Usage plans (per API key)

API Gateway Caching

Caching improves application performance and reduces backend load. You can set cache size (0.5 GB to 237 GB). You can enable caching per resource or method.

Monitoring API Performance

API Gateway integrates with Amazon CloudWatch to monitor:

  • 4XX and 5XX errors
  • Latency
  • Integration errors
  • Cache hit/miss
  • Request count

 API Gateway

  • Use HTTP APIs for low-cost high-performance serverless applications.
  • Use caching to reduce Lambda and backend load.
  • Implement request validation to reduce downstream errors.
  • Use custom domains with SSL certificates for production APIs.
  • Use CloudWatch for monitoring and trace integration with X-Ray.
  • Implement authentication using Cognito or Lambda Authorizers.
  • Version APIs for safe deployment across environments.
  • Use throttling to protect your backend from overload.

 Cases of API Gateway

  • Building serverless web applications
  • Developing secure RESTful APIs
  • Building microservices architecture
  • Chat applications using WebSocket APIs
  • IoT device communication
  • Integrating mobile and web applications
  • Enterprise API-driven workflows

API Gateway Pricing Overview

API Gateway follows a pay-as-you-go model. Pricing depends on:

  • Number of API calls
  • Data transfer charges
  • Cache memory size
  • Custom domain usage
  • WebSocket connection minutes

HTTP APIs are cheaper compared to REST APIs and offer major cost savings for serverless workloads.

API Gateway is one of the key serverless and API management services in AWS. It simplifies API creation, enables secure integration, reduces operational costs, and provides powerful monitoring capabilities. With support for REST, HTTP, and WebSocket APIs, it can handle applications from simple serverless functions to enterprise-level microservices. Understanding API Gateway is essential for AWS Developers, Cloud Engineers, and anyone pursuing certifications like AWS Associate and Professional exams.

Related Tutorials

Frequently Asked Questions for AWS

An AWS Region is a geographical area with multiple isolated availability zones. Regions ensure high availability, fault tolerance, and data redundancy.

AWS EBS (Elastic Block Store) provides block-level storage for use with EC2 instances. It's ideal for databases and other performance-intensive applications.



  • S3: Object storage for unstructured data.
  • EBS: Block storage for structured data like databases.

  • Regions are geographic areas.
  • Availability Zones are isolated data centers within a region, providing high availability for your applications.

AWS pricing follows a pay-as-you-go model. You pay only for the resources you use, with options like on-demand instances, reserved instances, and spot instances to optimize costs.



AWS S3 (Simple Storage Service) is an object storage service used to store and retrieve any amount of data from anywhere. It's ideal for backup, data archiving, and big data analytics.



Amazon RDS (Relational Database Service) is a managed database service supporting engines like MySQL, PostgreSQL, Oracle, and SQL Server. It automates tasks like backups and updates.



  • Scalability: Resources scale based on demand.
  • Cost-efficiency: Pay-as-you-go pricing.
  • Global Reach: Availability in multiple regions.
  • Security: Advanced encryption and compliance.
  • Flexibility: Supports various workloads and integrations.

AWS Auto Scaling automatically adjusts the number of compute resources based on demand, ensuring optimal performance and cost-efficiency.

The key AWS services include:


  • EC2 (Elastic Compute Cloud) for scalable computing.
  • S3 (Simple Storage Service) for storage.
  • RDS (Relational Database Service) for databases.
  • Lambda for serverless computing.
  • CloudFront for content delivery.

AWS CLI (Command Line Interface) is a tool for managing AWS services via commands. It provides scripting capabilities for automation.

Amazon EC2 is a web service that provides resizable compute capacity in the cloud. It enables you to launch virtual servers and manage your computing resources efficiently.

AWS Snowball is a physical device used for data migration. It allows organizations to transfer large amounts of data into AWS quickly and securely.

AWS CloudWatch is a monitoring service that collects and tracks metrics, logs, and events, helping you gain insights into your AWS infrastructure and applications.



AWS (Amazon Web Services) is a comprehensive cloud computing platform provided by Amazon. It offers on-demand cloud services such as compute power, storage, databases, networking, and more.



Elastic Load Balancer (ELB) automatically distributes incoming traffic across multiple targets (e.g., EC2 instances) to ensure high availability and fault tolerance.

Amazon VPC (Virtual Private Cloud) allows you to create a secure, isolated network within the AWS cloud, enabling you to control IP ranges, subnets, and route tables.



Route 53 is a scalable DNS (Domain Name System) web service by AWS. It connects user requests to your applications hosted on AWS resources.

AWS CloudFormation is a service that enables you to manage and provision AWS resources using infrastructure as code. It automates resource deployment through JSON or YAML templates.



AWS IAM (Identity and Access Management) allows you to control access to AWS resources securely. You can define user roles, permissions, and policies to ensure security and compliance.



  • EC2: Provides virtual servers for full control of your applications.
  • Lambda: Offers serverless computing, automatically running your code in response to events without managing servers.

Elastic Beanstalk is a PaaS (Platform as a Service) offering by AWS. It simplifies deploying and managing applications by automatically handling infrastructure provisioning and scaling.



Amazon SQS (Simple Queue Service) is a fully managed message queuing service that decouples and scales distributed systems.

AWS ensures data security through encryption (both at rest and in transit), compliance with standards (e.g., ISO, SOC, GDPR), and access controls using IAM.

AWS Lambda is a serverless computing service that lets you run code in response to events without provisioning or managing servers. You pay only for the compute time consumed.



AWS Identity and Access Management controls user access and permissions securely.

A serverless compute service running code automatically in response to events.

A Virtual Private Cloud for isolated AWS network configuration and control.

Automates resource provisioning using infrastructure as code in AWS.

A monitoring tool for AWS resources and applications, providing logs and metrics.

A virtual server for running applications on AWS with scalable compute capacity.

Distributes incoming traffic across multiple targets to ensure fault tolerance.

A scalable object storage service for backups, data archiving, and big data.

EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, DynamoDB, CloudFront, and ECS.

Tracks user activity and API usage across AWS infrastructure for auditing.

A managed relational database service supporting multiple engines like MySQL, PostgreSQL, and Oracle.

An isolated data center within a region, offering high availability and fault tolerance.

A scalable Domain Name System (DNS) web service for domain management.

Simple Notification Service sends messages or notifications to subscribers or other applications.

Brings native AWS services to on-premises locations for hybrid cloud deployments.

Automatically adjusts compute capacity to maintain performance and reduce costs.

Amazon Machine Image contains configuration information to launch EC2 instances.

Elastic Block Store provides block-level storage for use with EC2 instances.

Simple Queue Service enables decoupling and message queuing between microservices.

A serverless compute engine for containers running on ECS or EKS.

Manages and groups multiple AWS accounts centrally for billing and access control.

Distributes incoming traffic across multiple EC2 instances for better performance.

A tool for visualizing, understanding, and managing AWS costs and usage over time.

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