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Serverless Architecture in Cloud Computing

Learn about Serverless Architecture in this comprehensive Cloud Computing tutorial. Event-driven design.

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1The Power of Events

In traditional applications, a server runs 24/7 waiting for requests. With AWS Lambda, your compute layer scales perfectly to 0 when there is no traffic, meaning you pay absolutely nothing during downtime. During massive traffic spikes, Lambda can instantly scale out to thousands of concurrent executions.

2Step-by-Step Breakdown

What is Serverless?. Serverless doesn't mean there are no servers; it means YOU don't manage them. AWS handles patching, scaling, and provisioning.

AWS Lambda. Lambda is an event-driven compute service. You upload your code, and Lambda runs it only when triggered.

Supported Languages. Lambda natively supports Node.js, Python, Java, Go, Ruby, and C#. You can also bring your own Custom Runtime (e.g., Rust or PHP).

Event Triggers. Lambda functions are invoked by AWS events: an image uploaded to S3, an HTTP request via API Gateway, or a schedule in CloudWatch.

Knowledge Check. When deploying an AWS Lambda function, which of the following do you need to configure?

→The EC2 Instance Family (e.g., t3.micro)
→The amount of RAM (Memory) allocated

Cold vs Warm Starts. When invoked for the first time, Lambda spins up a container ('Cold Start'). Subsequent requests reuse the container ('Warm Start'), reducing latency.

Time & Resource Limits. Lambda is for short-lived tasks. The maximum execution timeout is 15 minutes. You can allocate between 128 MB and 10 GB of RAM.

CPU Scaling. You don't configure CPU directly. CPU power scales linearly with the amount of RAM you allocate.

Execution Roles. For Lambda to read an S3 bucket or write to DynamoDB, it must be assigned an IAM Execution Role with the necessary permissions.

Pricing Model. You pay only for what you use. Billed per 1 millisecond of execution time and the total number of requests.

Pascual Vila

Frontend Instructor // Code Syllabus

Common Pitfalls & Errors

The Error //

Initializing SDK clients and DB connections inside the handler function

// Correct: outside the handler, reused across warm invocations
const client = new DynamoDBClient({});

export const handler = async (event) => {
  return client.send(new GetItemCommand({...}));
};

The Solution //

Code inside the handler runs on every single invocation, but code outside it runs once per execution environment and is reused across warm invocations. Move SDK client and connection setup outside the handler so warm invocations skip the reconnection cost entirely.

The Error //

Not accounting for cold starts in latency-sensitive paths

aws lambda put-provisioned-concurrency-config --function-name my-fn \
  --qualifier my-alias --provisioned-concurrent-executions 5

The Solution //

A Lambda function that hasn't run recently incurs a cold start — extra latency to initialize a new execution environment, worse for larger deployment packages or runtimes like the JVM. For latency-critical paths, use Provisioned Concurrency or keep packages small to minimize this.