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Free ebook Serverless Computing with AWS Lambda

Course content

Introduction to Serverless Computing

What is AWS Lambda?

Setting Up Your AWS Account

Navigating the AWS Management Console

Understanding AWS Lambda Pricing

Lambda Function Basics

Creating Your First Lambda Function

Understanding Lambda Execution Context

Lambda Function Configuration

Setting Environment Variables for Lambda

Resource Allocation: Memory and Timeout

Triggers and Event Sources for Lambda

Triggers and Event Sources for Lambda: Custom Event Sources for AWS Lambda

Triggers and Event Sources for Lambda: Event Source Mapping Configuration

Triggers and Event Sources for Lambda: Polling vs

Triggers and Event Sources for Lambda: Batching and Processing Events

Triggers and Event Sources for Lambda: Event Filtering with AWS Lambda

Triggers and Event Sources for Lambda: Handling Event Source Failures

Triggers and Event Sources for Lambda: Integrating Third-Party Event Sources

Triggers and Event Sources for Lambda: Real-Time Event Processing with Lambda

Triggers and Event Sources for Lambda: Event Source Security Considerations

Triggers and Event Sources for Lambda: Best Practices for Event Source Integration

Understanding API Gateway Integration

Using Amazon S3 with AWS Lambda

DynamoDB Triggers in AWS Lambda

Lambda and Amazon Kinesis Integration

Lambda with Amazon SQS and SNS

Step Functions and AWS Lambda

Security Best Practices for Lambda

Testing AWS Lambda Functions

Monitoring and Logging with AWS Lambda

Using AWS CloudWatch for Lambda

Understanding Lambda Limits and Quotas

Error Handling in AWS Lambda

Error Handling in AWS Lambda: Understanding Lambda Error Types

Error Handling in AWS Lambda: Common Lambda Error Scenarios

Error Handling in AWS Lambda: Strategies for Error Handling in Lambda

Error Handling in AWS Lambda: Using AWS Lambda Retries

Error Handling in AWS Lambda: Custom Error Responses in Lambda

Error Handling in AWS Lambda: Handling Exceptions in Lambda Code

Error Handling in AWS Lambda: Lambda Error Metrics and Alerts

Error Handling in AWS Lambda: Integrating AWS Step Functions for Error Handling

Error Handling in AWS Lambda: Using Dead Letter Queues with Lambda

Error Handling in AWS Lambda: Implementing Circuit Breaker Patterns

Error Handling in AWS Lambda: Best Practices for Lambda Error Logging

Error Handling in AWS Lambda: Debugging Lambda Errors

Error Handling in AWS Lambda: Error Handling with AWS SDKs in Lambda

Error Handling in AWS Lambda: Leveraging AWS X-Ray for Error Tracing

Error Handling in AWS Lambda: Managing Lambda Errors in Asynchronous Invocations

Error Handling in AWS Lambda: Optimizing Lambda Error Recovery Time

Error Handling in AWS Lambda: Error Handling in Multi-step Lambda Workflows

Error Handling in AWS Lambda: Using Custom Error Classes in Lambda

Error Handling in AWS Lambda: Handling Timeouts and Resource Exhaustion

Error Handling in AWS Lambda: Error Handling in Lambda with Third-party Libraries

AWS Lambda Layers

Building and Deploying Lambda with AWS SAM

Versioning and Aliases in AWS Lambda

Managing AWS Lambda Function Permissions

Integrating Lambda with Amazon RDS

Serverless Framework for AWS Lambda

Developing Lambda Functions with Node.js

Python Development for AWS Lambda

Deploying Java Applications in AWS Lambda

Using AWS SDKs with Lambda

Connecting Lambda with VPC

Lambda Power Tuning

Cold Starts in AWS Lambda

Managing Concurrency in AWS Lambda

Asynchronous Invocations in AWS Lambda

Provisioned Concurrency with AWS Lambda

Understanding the Lambda Execution Environment

Using AWS X-Ray for Tracing

Data Processing with AWS Lambda

Best Practices for Lambda Performance

Building Event-driven Architectures with Lambda

Serverless Application Model (SAM) Overview

Implementation of CI/CD with AWS Lambda

AWS Lambda Cost Optimization Strategies

Securing Data with Encryption in AWS Lambda

Common Use Cases for AWS Lambda

Compliance and AWS Lambda

Building Real-time Applications with AWS Lambda

Debugging Lambda with AWS Toolkit

Deploying Go Applications in AWS Lambda

Architectural Patterns with AWS Lambda

Scaling Lambda Functions

Lambda Developer Tools

Resource Cleanup with AWS Lambda

Machine Learning with Lambda: An Introduction

Using Lambda with IoT Devices

Developing Event Source Mappings

Custom Runtimes for AWS Lambda

Passing Data to Lambda Functions

Generating Thumbnails with AWS Lambda

Chatbot Development using AWS Lambda

Comparing Serverless with Traditional Architectures

High Availability in Serverless Applications

AWS Lambda and Hybrid Cloud Solutions

Limitations of CloudFront and Lambda@Edge

100

AWS Lambda: Troubleshooting and Support

Course Description

The Serverless Computing with AWS Lambda course provides a comprehensive exploration into the world of serverless architecture using Amazon Web Services (AWS). Belonging to the Information Technology category and falling under the Web Servers and Cloud Computing subcategory, this course meticulously covers essential topics that help learners understand and implement serverless computing solutions effectively.

The journey begins with a thorough introduction to serverless computing principles, setting a strong foundation for those new to the concept. It explores AWS Lambda, the heart of serverless architecture on AWS, detailing how to set up an AWS account and navigate through the AWS Management Console. Understanding AWS Lambda pricing is also emphasized, ensuring learners can make cost-effective decisions while utilizing AWS services.

The course then delves into the fundamentals of Lambda functions, guiding participants through creating their first function and understanding the execution context. Detailed insights into configuration, environment variables, and resource allocation are provided, including topics on memory and timeouts that are crucial for optimizing function performance.

Another significant portion of the course covers triggers and event sources for AWS Lambda. This includes custom event sources, event source mapping configurations, and differentiating between polling and batching of events. Understanding event filtering and the security considerations involved in event source integration assures learners can effectively handle real-time event processing and integrate third-party sources with confidence.

Hands-on sections of the course cover the practical aspects of using various AWS services such as API Gateway, Amazon S3, DynamoDB, and more with AWS Lambda. Integration guides for Amazon Kinesis, SQS, SNS, and the use of Step Functions broaden the horizon for developing versatile serverless applications. Best practices in Lambda security, testing, monitoring with AWS CloudWatch, and an in-depth look into Lambda limits and quotas are also included to equip learners with necessary operational skills.

Error handling forms a core part of this course. Participants learn about identifying different Lambda error types, common scenarios, and strategies for handling errors. Engaging content on using Lambda retries, implementing circuit breaker patterns, and leveraging AWS X-Ray for tracing provides participants with the tools needed for robust error management.

Subsequent modules introduce AWS Lambda Layers, and deployment techniques using the AWS Serverless Application Model (SAM). Students can explore various development environments, including Node.js, Python, and Java, providing flexibility for developers of different programming backgrounds. Rich content on permission management, integrating Lambda with Virtual Private Cloud (VPC), and exploring Lambda power tuning are also covered.

Advanced topics include discussing architectural patterns, developing event-driven architectures, implementing CI/CD, and cost optimization strategies for AWS Lambda. The course also opens doors to future possibilities with Lambda, such as machine learning integrations, IoT devices, and building real-time applications.

With additional sections dedicated to debugging, the use of AWS Toolkit, and implementations such as deploying Go applications, learners gain full-cycle knowledge on managing AWS Lambda functions effectively. Overall, this course sheds light on architectural choices, scaling strategies, and the high availability potential of serverless applications, providing the knowledge and tools needed to harness AWS Lambda's full potential.