Learn AWS Lambda and understand serverless computing, Lambda functions, event-driven architecture, triggers, execution environments, IAM permissions, monitoring, and serverless application fundamentals.
Lambda Learning Path
Understand Serverless Computing
Create Lambda Functions
Configure Event Triggers
Manage IAM Permissions
Monitor and Optimize Functions
Introduction
AWS Lambda is a serverless compute service that allows you to run application code without provisioning and managing traditional servers.
A Lambda function can execute when it receives an event or an invocation request. Events can come from AWS services, applications, APIs, schedules, and other supported sources.
Lambda is commonly used for serverless APIs, automation, background processing, event-driven applications, file processing, data workflows, and cloud integrations.
Core Concepts
Understanding functions, events, execution, scaling, and permissions provides a strong foundation for serverless application development.
AWS Lambda allows you to run application code without managing traditional servers or continuously running virtual machines.
Key Topics
A Lambda function contains the code that AWS executes in response to an event or invocation request.
Key Topics
Lambda functions can be triggered by events from AWS services, applications, HTTP requests, schedules, and other supported event sources.
Key Topics
AWS Lambda automatically manages the execution environment and can scale function execution based on incoming events and configured limits.
Key Topics
Lambda Architecture
In an event-driven architecture, an application or AWS service generates an event that invokes a Lambda function.
The function processes the event and can interact with other AWS resources based on its application logic and configured IAM permissions.
Simplified Lambda Architecture
Client / Event Source
│
▼
┌───────────────────────┐
│ AWS Event Source │
│ │
│ API • S3 • Events │
└───────────────────────┘
│
▼
┌───────────────────────┐
│ AWS Lambda │
│ │
│ Execute Function │
└───────────────────────┘
│
▼
┌────────────────────────────┐
│ AWS Resources │
│ │
│ S3 • DynamoDB • SQS • APIs │
└────────────────────────────┘Getting Started
The following workflow provides a simple overview of how a serverless Lambda application can be created and configured.
Create a function and select a supported runtime environment or deployment method for your application code.
Add the application logic that should execute when the Lambda function receives an event or invocation request.
Configure the function entry point so the Lambda runtime knows which code should process incoming events.
Configure an IAM execution role that gives the function only the permissions required to access AWS resources.
Connect the Lambda function to an event source such as an API, storage event, messaging service, or scheduled event.
Monitor logs, performance, errors, and execution behavior to improve reliability and application performance.
Event Triggers
AWS Lambda supports event-driven workflows where functions can respond to activity from applications and AWS services.
Lambda functions can process HTTP requests and responses as part of serverless APIs and backend applications.
A function can respond to supported object events, such as when files are created or updated in a storage bucket.
Lambda can be invoked by events or scheduled rules to support automation and event-driven workflows.
Functions can process supported database events and changes for event-driven application architectures.
Example Lambda Function
export const handler = async (event: any) => {
console.log("Event received:", event);
const response = {
statusCode: 200,
body: JSON.stringify({
message: "Hello from AWS Lambda!",
}),
};
return response;
};Lambda Function
A Lambda function receives an event, processes the data using your application logic, and can return a response or interact with other services.
The exact structure of the function depends on the selected runtime and the type of event being processed.
Best Practices
Good Lambda architecture includes appropriate permissions, monitoring, configuration, resource management, and focused application design.
Configure IAM execution roles so each Lambda function receives only the permissions required for its specific workload.
Design functions around clear responsibilities instead of placing unrelated application logic into one large function.
Use logs, metrics, tracing, and error monitoring to understand function behavior and troubleshoot issues.
Store configuration and sensitive values using appropriate AWS services and avoid unnecessarily placing secrets directly in application code.
Keep deployment packages and dependencies organized and use reusable components or layers where appropriate.
Review memory, timeout, concurrency, and other configuration settings based on workload requirements.
AWS CLI Lambda Commands
# List Lambda functions aws lambda list-functions # Invoke a Lambda function aws lambda invoke \ --function-name my-function \ response.json # Get Lambda function details aws lambda get-function \ --function-name my-function # Update function code aws lambda update-function-code \ --function-name my-function \ --zip-file fileb://function.zip
AWS CLI
The AWS Command Line Interface can be used to inspect, invoke, deploy, and manage Lambda functions as part of development and automation workflows.
CLI commands can also be integrated into CI/CD pipelines, deployment scripts, and infrastructure automation processes.
What You Will Learn
Understand how serverless computing allows applications to execute code without managing traditional server infrastructure.
Learn how events from applications and AWS services can trigger Lambda functions and automated workflows.
Understand how Lambda functions can interact with AWS services such as storage, databases, APIs, messaging, and event systems.
Build a foundation for creating automated, scalable, and event-driven cloud applications.
Continue Learning
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Next Step
You now understand the fundamentals of AWS Lambda. Continue exploring AWS services and learn how compute, networking, storage, identity, automation, and event-driven systems work together.