AWS Lambda Projects: Serverless Functions, Cost-Efficiency, and Peak Performance in Cloud Environments

Deepen your proficiency in AWS Lambda, the powerful serverless computing service from Amazon. AWS Lambda allows developers to execute code without managing servers, making it a key tool for reducing costs, building efficient architectures, and deploying microservices effectively in cloud environments. In this hands-on interactive course, instructor Rick Crisci outlines the skills you need to start creating, deploying, and troubleshooting Lambda functions. Each lab is designed to reinforce theoretical concepts, covering essential topics such as navigating the Lambda console, scaling functions, integrating with services such as EventBridge and CloudWatch, managing concurrency, and optimizing function performance.

This course covers practical skills and insights that are invaluable for both real-world professional projects and AWS certifications such as AWS Certified Developer Associate, AWS Certified Solutions Architect Associate, and AWS Certified Solutions Architect Professional.

Learning objectives
Define AWS Lambda and its primary functionalities.
Navigate the Lambda console interface proficiently to identify key features.
Perform operational tasks within the Lambda console to manage and monitor functions.
Investigate the need for resource quota increases and outline the process in AWS Lambda.
Explain monitoring techniques for Lambda functions to ensure optimal performance and identify issues.
Implement monitoring strategies using AWS CloudWatch to analyze Lambda metrics.
Integrate Lambda with IAM roles, EC2 instances, and CloudWatch for enhanced functionality and security.
Design and implement a Lambda function for automating scheduled EC2 backups.
Evaluate the integration of Lambda functions within AWS VPCs and assess VPC configuration benefits.
Configure Lambda functions to operate securely within AWS VPCs and troubleshoot connectivity.
Explain Lambda concurrency concepts and their impact on function performance.
Configure reserved and provisioned concurrency settings to optimize Lambda function performance.
Implement reserved and provisioned concurrency configurations in practical scenarios.
Develop a strategy for cleaning up AWS resources used in Lambda functions to ensure cost efficiency.