We are incredibly excited to invite you to a special online seminar, "From Developer to Solutions Architect: Navigating Your AWS Career Path," hosted by the AWS Cloud Club at Sungkyunkwan University! This event is designed to offer invaluable insights for anyone aspiring to build a successful career in the dynamic world of cloud computing, specifically focusing on AWS. We're thrilled to announce that this seminar will be open to every AWS Cloud Club worldwide , creating a truly global learning and networking opportunity! Featuring Our Distinguished Speaker: William Antonio Guzman Bernel We are honored to present William Antonio Guzman Bernel , a Principal AWS Engineer at Sparq, an AWS Community Builder, and a Certified AWS Professional Solutions Architect. William brings over 22 years of software engineering experience, with a dedicated focus on AWS Cloud since 2016, evolving through roles as a Cloud Developer, DevOps Engineer, and Solutions Architect. His leadership as ...
Welcome to the "AWS Lambda Beginner Guide Tutorial" hosted by the AWS Cloud Club at Sungkyunkwan University! This event is designed for Sungkyunkwan University students and beginners who are looking to dive into the world of AWS Lambda, a key component of serverless computing. During this tutorial, you'll learn the fundamentals of AWS Lambda and how to create and deploy your own serverless functions. Whether you're new to cloud technology or aiming to expand your knowledge, we're excited to have you join us and look forward to seeing you there!
https://www.meetup.com/aws-cloud-club-in-south-korea/events/304105026/
Welcome and Introduction (5 minutes)
- A brief introduction to the event
- Overview of the session and objectives
What is AWS Lambda? (10 minutes)
- Overview of Serverless Computing
- Key Features and Benefits of AWS Lambda
- Use Cases and Real-World Examples
Setting Up Your First Lambda Function (25 minutes)
- Creating and Deploying a Simple Lambda Function
- Triggering the Lambda via Events
- Key Concepts: IAM Roles, Permissions, and Policies
Lambda Best Practices (10-15 minutes)
- Managing Costs and Performance Optimization
- Security Considerations
- Error Handling and Monitoring with CloudWatch
Q&A and Closing Remarks (5-10 minutes)
Introduction to AWS Lambda: The Power of Serverless Computing
What is AWS Lambda?
AWS Lambda is a serverless computing service offered by Amazon Web Services (AWS) that allows developers to run code without provisioning or managing servers. With Lambda, you can focus on writing your application logic while AWS automatically handles scaling, patching, and infrastructure management.
Overview of Serverless Computing
Serverless computing is a cloud execution model where the cloud provider dynamically manages the allocation of computing resources. Unlike traditional server-based architectures, serverless eliminates the need for:
Server provisioning: No need to manage EC2 instances or virtual machines.
Scaling concerns: Lambda automatically scales with the number of requests.
Cost inefficiencies: You only pay for the compute time your code consumes.
Lambda executes functions in response to events, such as:
HTTP requests (via API Gateway)
File uploads (S3 triggers)
Database changes (DynamoDB streams)
Scheduled tasks (CloudWatch Events)
Key Features and Benefits of AWS Lambda
Automatic Scaling – Lambda handles thousands of concurrent executions without manual intervention.
Pay-Per-Use Pricing – You’re charged only for the milliseconds your code runs.
Multi-Language Support – Supports Node.js, Python, Java, Go, Ruby, .NET, and custom runtimes.
Event-Driven Architecture – Easily integrates with AWS services like S3, DynamoDB, and SQS.
Stateless Execution – Each function runs in an isolated environment, improving reliability.
Use Cases and Real-World Examples
Real-time File Processing – Automatically resize images when uploaded to S3.
Backend APIs – Build RESTful APIs using Lambda and API Gateway.
Data Processing – Transform and analyze streaming data from Kinesis.
Chatbots & Automation – Process user requests in Slack or Discord bots.
Scheduled Tasks – Run nightly database cleanups or report generation.
Lambda Best Practices
Managing Costs and Performance Optimization
Optimize Memory Allocation – Higher memory settings improve CPU power, reducing execution time.
Keep Functions Warm – Use scheduled CloudWatch Events to prevent cold starts in critical applications.
Minimize Deployment Package Size – Remove unnecessary dependencies to speed up initialization.
Use Provisioned Concurrency – For predictable workloads, pre-warm functions to reduce latency.
Security Considerations
Least Privilege Permissions – Restrict IAM roles to only necessary AWS services.
Environment Variables Encryption – Use AWS KMS to secure sensitive configuration data.
VPC Security – Place Lambda functions in a VPC only when accessing private resources.
Regular Dependency Updates – Scan for vulnerabilities in third-party libraries.
Error Handling and Monitoring with CloudWatch
Centralized Logging – Lambda automatically logs to CloudWatch for debugging.
Custom Metrics & Alarms – Track invocation errors, throttles, and latency with CloudWatch Metrics.
Retry Mechanisms – Configure Dead Letter Queues (DLQs) in SQS or SNS for failed executions.
Distributed Tracing – Use AWS X-Ray to trace requests across microservices.
Conclusion
AWS Lambda is a powerful tool for building scalable, cost-efficient applications without managing infrastructure. By following best practices in performance, security, and monitoring, you can maximize its potential for your projects.
Ready to go serverless? Start deploying your first Lambda function today!