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Cloud Architecture

Serverless Architecture Samples

Serverless computing examples with AWS Lambda, Azure Functions, and Google Cloud Functions

Samples

Entries inside this sample collection

CodejavascriptSimple

AWS Lambda Hello World

Basic AWS Lambda function with Node.js runtime

Difficulty

3/10

Estimated time

10 min

Tags

serverless, aws, lambda, nodejs

Prerequisites

Basic Node.js knowledge

javascript
// AWS Lambda Hello World Example
exports.handler = async (event) => {
    console.log('Event: ', JSON.stringify(event, null, 2));

    const response = {
        statusCode: 200,
        headers: {
            'Content-Type': 'application/json',
            'Access-Control-Allow-Origin': '*',
        },
        body: JSON.stringify({
            message: 'Hello from AWS Lambda!',
            input: event,
            timestamp: new Date().toISOString(),
        }),
    };

    return response;
};

// Handler with different HTTP methods
exports.apiHandler = async (event) => {
    const httpMethod = event.httpMethod;
    const path = event.path;

    switch (httpMethod) {
        case 'GET':
            return {
                statusCode: 200,
                body: JSON.stringify({
                    message: 'GET request received',
                    path: path,
                }),
            };
        case 'POST':
            const requestBody = JSON.parse(event.body);
            return {
                statusCode: 201,
                body: JSON.stringify({
                    message: 'POST request processed',
                    receivedData: requestBody,
                }),
            };
        default:
            return {
                statusCode: 405,
                body: JSON.stringify({
                    error: 'Method not allowed',
                }),
            };
    }
};

// Lambda function with environment variables
exports.envHandler = async (event) => {
    const environment = process.env.ENVIRONMENT || 'development';
    const region = process.env.AWS_REGION || 'us-east-1';

    return {
        statusCode: 200,
        body: JSON.stringify({
            environment,
            region,
            allEnvVars: Object.keys(process.env).filter(key =>
                key.startsWith('AWS_') || key.startsWith('LAMBDA_')
            ),
        }),
    };
};
ConfigyamlIntermediate

Serverless Framework Configuration

Serverless Framework configuration for deploying multiple functions

Difficulty

6/10

Estimated time

20 min

Tags

serverless, configuration, deployment, aws

Prerequisites

AWS account, Serverless Framework CLI

yaml
# serverless.yml
service: my-serverless-app

frameworkVersion: '3'

provider:
  name: aws
  runtime: nodejs18.x
  region: us-east-1
  stage: dev
  environment:
    NODE_ENV: ${self:custom.currentStage}
    TABLE_NAME: ${self:service}-${self:custom.currentStage}

  iam:
    role:
      statements:
        - Effect: Allow
          Action:
            - dynamodb:Query
            - dynamodb:Scan
            - dynamodb:GetItem
            - dynamodb:PutItem
            - dynamodb:UpdateItem
            - dynamodb:DeleteItem
          Resource:
            - "arn:aws:dynamodb:${self:provider.region}:*:table/${self:provider.environment.TABLE_NAME}"

functions:
  hello:
    handler: handler.hello
    events:
      - http:
          path: hello
          method: get
          cors: true

  users:
    handler: handler.users
    events:
      - http:
          path: users
          method: get
          cors: true
      - http:
          path: users
          method: post
          cors: true

  getUser:
    handler: handler.getUser
    events:
      - http:
          path: users/{id}
          method: get
          cors: true

  processImage:
    handler: handler.processImage
    events:
      - s3:
          bucket: my-image-bucket
          event: s3:ObjectCreated:*
          existing: true
    timeout: 30
    memorySize: 1024

  scheduledTask:
    handler: handler.scheduledTask
    events:
      - schedule:
          rate: rate(5 minutes)
          enabled: true

resources:
  Resources:
    UsersTable:
      Type: AWS::DynamoDB::Table
      Properties:
        TableName: ${self:provider.environment.TABLE_NAME}
        AttributeDefinitions:
          - AttributeName: id
            AttributeType: S
        KeySchema:
          - AttributeName: id
            KeyType: HASH
        BillingMode: PAY_PER_REQUEST
        PointInTimeRecoverySpecification:
          PointInTimeRecoveryEnabled: true
        SSESpecification:
          SSEEnabled: true
        StreamSpecification:
          StreamViewType: NEW_AND_OLD_IMAGES

plugins:
  - serverless-offline
  - serverless-dotenv-plugin
  - serverless-webpack

custom:
  currentStage: ${opt:stage, 'dev'}
  webpack:
    webpackConfig: 'webpack.config.js'
    includeModules: true

  serverless-offline:
    httpPort: 3000
    babelOptions:
      presets: ["env"]

  dotenv:
    path: ./.env
    include:
      - API_KEY
      - DATABASE_URL

package:
  individually: true

  exclude:
    - .git/**
    - .vscode/**
    - node_modules/**
    - "*.log"
CodecsharpIntermediate

Azure Functions with C#

Azure Functions examples using C# and .NET

Difficulty

7/10

Estimated time

25 min

Tags

serverless, azure, csharp, dotnet, functions

Prerequisites

C# and .NET knowledge, Azure subscription

csharp
// Azure Functions with C#
using System;
using System.IO;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Azure.WebJobs;
using Microsoft.Azure.WebJobs.Extensions.Http;
using Microsoft.AspNetCore.Http;
using Microsoft.Extensions.Logging;
using Newtonsoft.Json;

namespace MyServerlessApp
{
    public static class HttpFunctions
    {
        [FunctionName("HelloWorld")]
        public static async Task<IActionResult> Run(
            [HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequest req,
            ILogger log)
        {
            log.LogInformation("C# HTTP trigger function processed a request.");

            string name = req.Query["name"];

            string requestBody = await new StreamReader(req.Body).ReadToEndAsync();
            dynamic data = JsonConvert.DeserializeObject(requestBody);
            name = name ?? data?.name;

            return name != null
                ? (ActionResult)new OkObjectResult($"Hello, {name}")
                : new BadRequestObjectResult("Please pass a name on the query string or in the request body");
        }
    }

    public static class QueueFunctions
    {
        [FunctionName("ProcessQueueMessage")]
        public static void Run(
            [QueueTrigger("myqueue-items", Connection = "AzureWebJobsStorage")] string myQueueItem,
            ILogger log)
        {
            log.LogInformation($"C# Queue trigger function processed: {myQueueItem}");

            // Process the queue message
            var message = JsonConvert.DeserializeObject<MessageData>(myQueueItem);

            // Business logic here
            log.LogInformation($"Processing message for user: {message.UserId}");
        }
    }

    public static class TimerFunctions
    {
        [FunctionName("DailyCleanup")]
        public static void Run(
            [TimerTrigger("0 0 3 * * *")] TimerInfo myTimer,
            ILogger log)
        {
            log.LogInformation($"Daily cleanup function executed at: {DateTime.Now}");

            if (myTimer.IsPastDue)
            {
                log.LogInformation("Timer is running late!");
            }

            // Cleanup logic here
            PerformDailyCleanup();
        }

        private static void PerformDailyCleanup()
        {
            // Implement cleanup logic
            // e.g., delete old files, clean up database, etc.
        }
    }

    public static class BlobFunctions
    {
        [FunctionName("ProcessImageUpload")]
        public static void Run(
            [BlobTrigger("images/{name}", Connection = "AzureWebJobsStorage")] Stream myBlob,
            string name,
            ILogger log)
        {
            log.LogInformation($"C# Blob trigger function processed blob\n Name:{name} \n Size: {myBlob.Length} Bytes");

            // Process uploaded image
            ProcessImage(myBlob, name);
        }

        private static void ProcessImage(Stream imageStream, string fileName)
        {
            // Implement image processing logic
            // e.g., resize, add watermark, generate thumbnails
        }
    }

    public static class CosmosDBFunctions
    {
        [FunctionName("CreateUser")]
        public static async Task<IActionResult> CreateUser(
            [HttpTrigger(AuthorizationLevel.Function, "post", Route = "users")] HttpRequest req,
            [CosmosDB(
                databaseName: "MyDatabase",
                collectionName: "Users",
                ConnectionStringSetting = "CosmosDBConnection")] IAsyncCollector<User> usersOut,
            ILogger log)
        {
            log.LogInformation("Creating a new user");

            string requestBody = await new StreamReader(req.Body).ReadToEndAsync();
            var user = JsonConvert.DeserializeObject<User>(requestBody);

            user.Id = Guid.NewGuid().ToString();
            user.CreatedAt = DateTime.UtcNow;

            await usersOut.AddAsync(user);

            return new CreatedResult($"/users/{user.Id}", user);
        }

        [FunctionName("GetUser")]
        public static IActionResult GetUser(
            [HttpTrigger(AuthorizationLevel.Function, "get", Route = "users/{id}")] HttpRequest req,
            [CosmosDB(
                databaseName: "MyDatabase",
                collectionName: "Users",
                Id = "{id}",
                PartitionKey = "{id}",
                ConnectionStringSetting = "CosmosDBConnection")] User user,
            ILogger log)
        {
            log.LogInformation($"Getting user with id: {req.RouteValues["id"]}");

            if (user == null)
            {
                return new NotFoundResult();
            }

            return new OkObjectResult(user);
        }
    }

    // Data models
    public class MessageData
    {
        public string UserId { get; set; }
        public string Message { get; set; }
        public DateTime Timestamp { get; set; }
    }

    public class User
    {
        [JsonProperty("id")]
        public string Id { get; set; }

        [JsonProperty("name")]
        public string Name { get; set; }

        [JsonProperty("email")]
        public string Email { get; set; }

        [JsonProperty("createdAt")]
        public DateTime CreatedAt { get; set; }
    }
}
CodepythonIntermediate

Google Cloud Functions with Python

Google Cloud Functions examples using Python runtime

Difficulty

7/10

Estimated time

25 min

Tags

serverless, gcp, python, cloud functions

Prerequisites

Python knowledge, Google Cloud Platform account

python
# Google Cloud Functions with Python
import functions_framework
from flask import jsonify, request
import json
import logging
import os
from datetime import datetime
from google.cloud import storage
from google.cloud import datastore

# Configure logging
logging.basicConfig(level=logging.INFO)

@functions_framework.http
def hello_world(request):
    """HTTP Cloud Function that returns a JSON greeting."""

    request_json = request.get_json(silent=True)
    request_args = request.args

    if request_json and 'name' in request_json:
        name = request_json['name']
    elif request_args and 'name' in request_args:
        name = request_args['name']
    else:
        name = 'World'

    response_data = {
        'message': f'Hello, {name}!',
        'timestamp': datetime.utcnow().isoformat(),
        'method': request.method,
        'headers': dict(request.headers)
    }

    return jsonify(response_data), 200

@functions_framework.http
def process_data(request):
    """HTTP Cloud Function that processes incoming data."""

    if request.method != 'POST':
        return jsonify({'error': 'Method not allowed'}), 405

    try:
        data = request.get_json()

        if not data:
            return jsonify({'error': 'No data provided'}), 400

        # Validate required fields
        if 'user_id' not in data or 'event_type' not in data:
            return jsonify({'error': 'Missing required fields'}), 400

        # Process the data
        processed_data = {
            'user_id': data['user_id'],
            'event_type': data['event_type'],
            'processed_at': datetime.utcnow().isoformat(),
            'metadata': {
                'source_ip': request.remote_addr,
                'user_agent': request.headers.get('User-Agent', ''),
            }
        }

        # Add additional processing logic here
        if data.get('payload'):
            processed_data['payload_size'] = len(json.dumps(data['payload']))

        # Save to Datastore (optional)
        save_to_datastore(processed_data)

        return jsonify({
            'status': 'success',
            'processed_data': processed_data
        }), 200

    except Exception as e:
        logging.error(f"Error processing data: {str(e)}")
        return jsonify({'error': 'Internal server error'}), 500

@functions_framework.cloud_event
def process_pubsub_message(cloud_event):
    """Background Cloud Function to handle Pub/Sub messages."""

    try:
        # Extract message data
        message_data = cloud_event.data.get('message', {})

        if 'data' in message_data:
            # Decode base64 message
            import base64
            decoded_message = base64.b64decode(message_data['data']).decode('utf-8')
            message_json = json.loads(decoded_message)
        else:
            message_json = message_data

        logging.info(f"Received Pub/Sub message: {message_json}")

        # Process the message
        result = process_message(message_json)

        logging.info(f"Message processed successfully: {result}")

    except Exception as e:
        logging.error(f"Error processing Pub/Sub message: {str(e)}")
        raise

@functions_framework.cloud_event
def process_gcs_event(cloud_event):
    """Background Cloud Function to handle GCS object changes."""

    try:
        # Extract bucket and file information
        bucket = cloud_event.data.get('bucket')
        name = cloud_event.data.get('name')
        generation = cloud_event.data.get('generation')
        eventType = cloud_event.type

        logging.info(f"GCS Event: {eventType} for gs://{bucket}/{name} (generation: {generation})")

        if eventType == 'google.storage.object.finalize':
            # Process new file
            process_uploaded_file(bucket, name)
        elif eventType == 'google.storage.object.delete':
            # Handle file deletion
            logging.info(f"File deleted: gs://{bucket}/{name}")

    except Exception as e:
        logging.error(f"Error processing GCS event: {str(e)}")
        raise

def save_to_datastore(data):
    """Save data to Google Cloud Datastore."""
    try:
        client = datastore.Client()
        kind = 'ProcessedEvent'

        # Create a new entity
        key = client.key(kind)
        entity = datastore.Entity(key=key)

        # Set entity properties
        entity.update(data)

        # Save the entity
        client.put(entity)

        logging.info(f"Data saved to Datastore with key: {entity.key}")

    except Exception as e:
        logging.error(f"Error saving to Datastore: {str(e)}")

def process_message(message):
    """Process incoming Pub/Sub message."""
    # Add your business logic here
    return {
        'processed': True,
        'message_type': message.get('type', 'unknown'),
        'timestamp': datetime.utcnow().isoformat()
    }

def process_uploaded_file(bucket_name, file_name):
    """Process uploaded file in GCS."""
    try:
        client = storage.Client()
        bucket = client.bucket(bucket_name)
        blob = bucket.blob(file_name)

        # Get file metadata
        blob.reload()
        file_size = blob.size
        content_type = blob.content_type

        logging.info(f"Processing file: {file_name} ({file_size} bytes, {content_type})")

        # Add file processing logic here
        if content_type and content_type.startswith('image/'):
            # Process image
            process_image_file(bucket_name, file_name)
        elif content_type and 'csv' in content_type:
            # Process CSV file
            process_csv_file(bucket_name, file_name)

    except Exception as e:
        logging.error(f"Error processing uploaded file: {str(e)}")

def process_image_file(bucket_name, file_name):
    """Process uploaded image file."""
    # Add image processing logic
    logging.info(f"Processing image: {file_name}")
    # e.g., resize, add watermark, generate thumbnails

def process_csv_file(bucket_name, file_name):
    """Process uploaded CSV file."""
    # Add CSV processing logic
    logging.info(f"Processing CSV: {file_name}")
    # e.g., parse data, save to database

# Environment configuration helper
def get_config():
    """Get configuration from environment variables."""
    return {
        'project_id': os.getenv('GCP_PROJECT'),
        'environment': os.getenv('ENVIRONMENT', 'development'),
        'log_level': os.getenv('LOG_LEVEL', 'INFO')
    }
ConfigyamlComplex

Serverless API Gateway Integration

API Gateway configuration for serverless functions

Difficulty

9/10

Estimated time

35 min

Tags

serverless, api gateway, cloudformation, sam

Prerequisites

AWS CloudFormation knowledge, API Gateway concepts

yaml
# AWS API Gateway with Lambda Integration
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: Serverless API with API Gateway

Globals:
  Function:
    Timeout: 30
    MemorySize: 256
    Runtime: python3.9

Parameters:
  Stage:
    Type: String
    Default: dev
    AllowedValues:
      - dev
      - staging
      - prod
    Description: Deployment stage

Resources:
  # API Gateway REST API
  ApiGatewayRestApi:
    Type: AWS::Serverless::Api
    Properties:
      Name: !Sub '${AWS::StackName}-api-${Stage}'
      StageName: !Ref Stage
      DefinitionUri: s3://api-definition-bucket/openapi.yaml
      Variables:
        LambdaFunctionName: !Ref MyApiFunction
      Cors:
        AllowMethods: "'GET,POST,PUT,DELETE,OPTIONS'"
        AllowHeaders: "'Content-Type,X-Amz-Date,Authorization,X-Api-Key,X-Amz-Security-Token'"
        AllowOrigin: "'*'"

  # Lambda Functions
  MyApiFunction:
    Type: AWS::Serverless::Function
    Properties:
      FunctionName: !Sub '${AWS::StackName}-api-${Stage}'
      CodeUri: src/
      Handler: app.lambda_handler
      Runtime: python3.9
      Environment:
        Variables:
          TABLE_NAME: !Ref DataTable
          REGION: !Ref AWS::Region
      Policies:
        - DynamoDBCrudPolicy:
            TableName: !Ref DataTable
      Events:
        ApiEvents:
          Type: Api
          Properties:
            RestApiId: !Ref ApiGatewayRestApi
            Path: /{proxy+}
            Method: ANY

  # DynamoDB Table
  DataTable:
    Type: AWS::DynamoDB::Table
    Properties:
      TableName: !Sub '${AWS::StackName}-data-${Stage}'
      AttributeDefinitions:
        - AttributeName: id
          AttributeType: S
        - AttributeName: type
          AttributeType: S
      KeySchema:
        - AttributeName: id
          KeyType: HASH
        - AttributeName: type
          KeyType: RANGE
      BillingMode: PAY_PER_REQUEST
      StreamSpecification:
        StreamViewType: NEW_AND_OLD_IMAGES
      PointInTimeRecoverySpecification:
        PointInTimeRecoveryEnabled: true

  # Lambda Authorizer
  ApiAuthorizer:
    Type: AWS::Serverless::Function
    Properties:
      FunctionName: !Sub '${AWS::StackName}-authorizer-${Stage}'
      CodeUri: authorizer/
      Handler: authorizer.lambda_handler
      Runtime: python3.9
      Environment:
        Variables:
          JWT_SECRET: !Ref JwtSecret
      Policies:
        - Statement:
            Effect: Allow
            Action:
              - secretsmanager:GetSecretValue
            Resource: !Sub arn:aws:secretsmanager:${AWS::Region}:${AWS::AccountId}:secret:${JwtSecret}*

  # Custom Domain
  ApiDomainName:
    Type: AWS::ApiGateway::DomainName
    Properties:
      DomainName: !Sub 'api-${Stage}.example.com'
      EndpointConfiguration:
        Types:
          - REGIONAL
      RegionalCertificateArn: !Ref SslCertificate
      SecurityPolicy: TLS_1_2

  # API Gateway Base Path Mapping
  BasePathMapping:
    Type: AWS::ApiGateway::BasePathMapping
    Properties:
      DomainName: !Ref ApiDomainName
      RestApiId: !Ref ApiGatewayRestApi
      Stage: !Ref Stage

  # CloudWatch Log Group
  ApiLogGroup:
    Type: AWS::Logs::LogGroup
    Properties:
      LogGroupName: !Sub '/aws/lambda/${MyApiFunction}'
      RetentionInDays: 30

# Output values
Outputs:
  ApiEndpoint:
    Description: API Gateway endpoint URL
    Value: !Sub 'https://${ApiGatewayRestApi}.execute-api.${AWS::Region}.amazonaws.com/${Stage}'

  ApiFunction:
    Description: Lambda function ARN
    Value: !GetAtt MyApiFunction.Arn

  TableName:
    Description: DynamoDB table name
    Value: !Ref DataTable

# OpenAPI Specification for API Gateway
# openapi.yaml
openapi: 3.0.0
info:
  title: Serverless API
  version: 1.0.0
  description: Serverless API with Lambda backend

servers:
  - url: https://{domain}/prod
    variables:
      domain:
        default: api.example.com

paths:
  /health:
    get:
      summary: Health check endpoint
      responses:
        '200':
          description: API is healthy
          content:
            application/json:
              schema:
                type: object
                properties:
                  status:
                    type: string
                  timestamp:
                    type: string

  /users:
    get:
      summary: Get all users
      security:
        - ApiKeyAuth: []
      responses:
        '200':
          description: List of users
    post:
      summary: Create new user
      security:
        - ApiKeyAuth: []
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/User'
      responses:
        '201':
          description: User created
        '400':
          description: Invalid input

  /users/{userId}:
    get:
      summary: Get user by ID
      security:
        - ApiKeyAuth: []
      parameters:
        - name: userId
          in: path
          required: true
          schema:
            type: string
      responses:
        '200':
          description: User details
        '404':
          description: User not found
    put:
      summary: Update user
      security:
        - ApiKeyAuth: []
      parameters:
        - name: userId
          in: path
          required: true
          schema:
            type: string
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/User'
      responses:
        '200':
          description: User updated
        '404':
          description: User not found
    delete:
      summary: Delete user
      security:
        - ApiKeyAuth: []
      parameters:
        - name: userId
          in: path
          required: true
          schema:
            type: string
      responses:
        '204':
          description: User deleted
        '404':
          description: User not found

components:
  securitySchemes:
    ApiKeyAuth:
      type: apiKey
      in: header
      name: X-API-Key
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT

  schemas:
    User:
      type: object
      required:
        - name
        - email
      properties:
        id:
          type: string
          readOnly: true
        name:
          type: string
        email:
          type: string
          format: email
        role:
          type: string
          enum: [user, admin]
          default: user

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Title

Serverless Architecture Samples

Description

Serverless computing examples with AWS Lambda, Azure Functions, and Google Cloud Functions

Overview

Serverless computing examples with AWS Lambda, Azure Functions, and Google Cloud Functions

When to use

  • Use this sample set when you want reference inputs for Serverless Architecture Samples.
  • Use it to preview output formats and compare related sample variants.

How it works

  1. 1Open a sample entry to inspect the prepared example payload or asset.
  2. 2Compare it with related tools to understand how the workflow connects.

Use cases

  • AWS Lambda Hello World
  • Serverless Framework Configuration
  • Azure Functions with C#
  • Google Cloud Functions with Python
  • Serverless API Gateway Integration

FAQ

What is included in Serverless Architecture Samples?

This page includes curated sample entries, related tools, and neighboring sample collections for Serverless Architecture Samples.

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TOML / INI / HCL / .env / Nix / dotenv ⇄ Kubernetes ConfigMap & Secret Config Format Bridge

Convert configuration files between dotenv .env, TOML, INI, Java .properties, YAML, JSON, HCL (Terraform/Vagrant native syntax) and Nix attribute sets, and emit Kubernetes ConfigMap or Secret manifests. Template placeholders (${VAR}, {{var}}, envsubst) are preserved verbatim, type inference provenance (string/int/float/bool/list) is tracked, HCL block labels fold into nested keys, and a round-trip diff calls out non-equivalent settings — dropped keys, re-typed values and rewrites — instead of coercing them silently.

Format Conversion

TOML-YAML Converter

Convert between TOML and YAML formats with support for complex data structures and configuration files

Format Conversion

YAML Formatter

Format and beautify YAML. Note: comments are lost (js-yaml limitation)

Observability

Distributed Tracing Samples

Comprehensive distributed tracing examples using Jaeger, OpenTelemetry, and other modern observability tools for microservices architecture

Monitoring

Grafana Advanced Application Samples

Comprehensive Grafana samples covering advanced dashboard design, alerting configurations, data source integrations, and plugin development

Cloud Computing

DigitalOcean Samples

DigitalOcean cloud platform examples including Droplets, Kubernetes, Spaces, and App Platform

Cloud Computing

Linode Cloud Service Samples

Linode cloud platform examples including Linode instances, Object Storage, Load Balancers, and Kubernetes

Observability & Monitoring

Prometheus Monitoring

Comprehensive Prometheus monitoring and alerting system examples including custom metrics exporters, alert rule configuration, PromQL queries, and Grafana dashboard integration

Cloud Services

AWS EventBridge Samples

AWS EventBridge examples including event buses, rules, targets, schema registry, custom events, and cross-account event routing for serverless event-driven architecture