AWS Lambda And Serverless Computing

This deck is from an online session organized by AWS Cloud Club Pakistan, where I explain serverless computing and AWS Lambda. The session covers its use cases, working mechanisms, benefits, alternatives, and best practices.

Transcript

1. preencoded.png AWS Lambda and Serverless Computing by Kashif Mehmood
2. preencoded.png Benefits of Serverless Computing 1 Cost Savings Pay only for the resources you use, eliminating idle server costs. 2 Scalability Automatic scaling ensures your application can handle spikes in demand. 3 Focus on Code Serverless platforms handle infrastructure management for you. 4 Faster Deployment Deploy code quickly and easily without worrying about server setup.
3. preencoded.png AWS Lambda vs. FaaS Alternatives AWS Lambda AWS Lambda is a serverless computing service provided by Amazon Web Services. • Extensive Integration with AWS Ecosystem • Mature and Feature-Rich Platform • Large Developer Community Google Cloud Functions Google Cloud Functions is a serverless compute platform offered by Google Cloud Platform. • Strong Integration with Google Cloud Services • Focus on Scalability and Performance • Growing Developer Ecosystem Azure Functions Azure Functions is Microsoft's serverless computing offering on Azure. • Integration with Azure Services and .NET Framework • Hybrid Cloud Deployment Options • Active Development and Innovation
4. preencoded.png AWS Lambda vs. EC2 vs. Containers vs. Traditional Servers Feature AWS Lambda EC2 Containers Traditional Servers Server Management Fully Managed User-Managed Partially Managed User-Managed Scalability Automatic Manual Scaling Automated Scaling Manual Scaling Cost Pay-per-use Fixed Costs Hybrid Costs Fixed Costs Deployment Speed Fast Slower Faster Slowest
5. preencoded.png “With AWS Lambda, you gain flexibility at the expense of control”
6. preencoded.png “With AWS Lambda, you gain gain flexibility at the expense of expense of control”
7. preencoded.png How AWS Lambda Works Event Trigger Lambda functions are triggered by events like API Gateway requests, S3 object uploads, or scheduled timers. Execution Environment Environment AWS provides the necessary runtime environment and resources for your Lambda function to execute. Code Execution Your code runs within the Lambda environment, processing data and performing tasks. Response The Lambda function returns a response to the event source that triggered it.
8. preencoded.png Common Use Cases API Endpoints Create serverless APIs with AWS Lambda and API Gateway for efficient and scalable web services. Data Processing Process data in real time or in batches using Lambda functions to analyze and transform data streams. Event Handling Trigger Lambda functions based on events from other AWS services, such as S3 uploads or DynamoDB changes. Scheduled Tasks Schedule Lambda functions to run at regular intervals, automating tasks like database backups or data analysis.
9. preencoded.png Setting Up a Lambda Function 1 Create Function Create a new Lambda function in the AWS Lambda console, selecting a runtime environment and providing function code. 2 Define Triggers Configure triggers for your function, such as an API Gateway endpoint, an S3 event, or a scheduled timer. 3 Configure Settings Set memory, timeout, and other settings for your Lambda function, adjusting resources based on its needs. 4 Deploy Function Deploy your Lambda function to AWS, making it ready to receive triggers and execute code.
10. preencoded.png Demo: AWS Lambda in Action Cloud Infrastructure Show how AWS Lambda functions run within the cloud, leveraging AWS infrastructure. Function Code Demonstrate the code inside a Lambda function, showcasing how it processes data and performs tasks. Triggering Event Illustrate the event that triggers the Lambda function, such as an API request or a scheduled timer. Function Output Display the output generated by the Lambda function in response to the triggering event.
11. preencoded.png Best Practices for AWS Lambda and FaaS 1 Code Optimization Write efficient and lightweight code to minimize execution time and optimize resource usage. 2 Security Best Practices Implement security measures such as IAM roles and access control to protect your Lambda functions. 3 Monitoring and Logging Monitor your Lambda functions for performance, errors, and resource usage, enabling proactive issue detection and resolution. 4 Testing and Debugging Develop comprehensive test cases and utilize debugging tools to ensure the reliability of your Lambda functions.
12. preencoded.png Summary and Q&A