AWS Lambda Serverless Integration Guide

Serverless Architecture Benefits

AWS Lambda lets you run code without managing servers. Perfect for Smart Money API integrations because you only pay for execution time. When a whale signal arrives, Lambda wakes up, processes it, potentially triggers a trade, then goes back to sleep.

Key Advantages

• No server management — AWS handles scaling and infrastructure
• Cost efficiency — Pay per 100ms of execution, $0.20 per million invocations
• Auto-scaling — Automatically handles traffic spikes
• Low latency — Triggers within milliseconds of signal arrival
• Integration with AWS services — Connect to DynamoDB, SNS, SQS, S3, CloudWatch
• Built-in logging — CloudWatch integration for debugging and monitoring

Typical Use Cases

• Process whale signals and forward to trading bot
• Validate signals against risk limits before execution
• Log all signals to DynamoDB for historical analysis
• Send alerts to team via SNS or Slack
• Analyze signal patterns and update strategy parameters

Initial AWS Setup

Step 1: Create AWS Account

Create AWS account at aws.amazon.com. Free tier includes 1 million Lambda invocations per month, perfect for testing.

Step 2: Access Lambda Console

Log in to AWS Console, navigate to Lambda service. Click "Create function".

Step 3: Choose Runtime

Select Python 3.11 (recommended for crypto trading). Node.js 18 also works. Avoid older runtimes as they may have security vulnerabilities.

Step 4: Configure Execution Role

Lambda needs IAM role with appropriate permissions. See IAM Configuration section below.

IAM Roles and Permissions

Minimal Permissions Policy

Create IAM policy with only necessary permissions (principle of least privilege):

Best Practices

• Use separate roles — Different Lambda functions should have different roles
• Least privilege — Only grant permissions actually needed
• Avoid * wildcards — Specify exact resources instead
• Rotate credentials — Store API keys in AWS Secrets Manager, not in code

Writing Lambda Functions

Function 1: Signal Processor

Receives webhook from Smart Money API, validates signal, logs to DynamoDB:

Function 2: Trade Executor

Receives validated signal, checks risk limits, places trade with exchange API:

• Validate position size against account balance
• Check stop loss and take profit levels
• Call exchange API to place limit orders
• Log execution to audit trail
• Send confirmation to Slack

Function 3: Risk Monitor

Runs periodically (every 5 minutes) to check portfolio risk:

• Query all open positions
• Calculate portfolio delta and gamma
• If leverage > threshold, reduce position
• Alert team if risk limits breached

API Gateway Setup

Creating HTTP Endpoint

API Gateway exposes Lambda as HTTP endpoint that Smart Money API can webhook to:

1. Create new REST API in API Gateway
2. Create POST method pointing to Lambda function
3. Configure integration type = Lambda function
4. Deploy to stage (e.g., "production")
5. Copy URL: https://xyz.execute-api.us-east-1.amazonaws.com/production

API Key Authentication

Protect endpoint with API key so only Smart Money API can invoke it:

CORS Configuration

If calling from browser, enable CORS:

• Access-Control-Allow-Origin: *
• Access-Control-Allow-Headers: Content-Type
• Access-Control-Allow-Methods: POST

Event-Driven Architecture

Smart Money Webhook → API Gateway → Lambda

Synchronous invocation. Signal arrives, Lambda processes immediately, returns response to Smart Money API.

Scheduled Triggers (EventBridge)

Run Lambda on schedule (e.g., Risk Monitor every 5 minutes):

SQS Queue Integration

For high-volume signals, use SQS queue as buffer:

• Smart Money API → SNS Topic → SQS Queue
• Lambda polls queue every 10 seconds
• Process signals at your own pace
• Prevents Lambda from being overwhelmed

Deployment and Management

Using SAM (Serverless Application Model)

Deploy infrastructure as code using AWS SAM:

Version Control and CI/CD

Use GitHub + AWS CodePipeline for automated deployments:

1. Push code to GitHub repo
2. CodePipeline detects commit
3. CodeBuild runs tests and packages
4. CodeDeploy deploys to Lambda
5. Automatic rollback on failure

Environment Variables

Store secrets in AWS Secrets Manager, not in code:

• SMART_MONEY_API_KEY — Fetch from Secrets Manager in Lambda
• EXCHANGE_API_KEY — Store securely
• DYNAMODB_TABLE — Reference from CloudFormation parameter

Monitoring and Debugging

CloudWatch Logs

Lambda automatically logs to CloudWatch. Check logs for errors:

• Click function in Lambda console
• Go to Monitor tab → View logs in CloudWatch
• Search for errors or exceptions

Custom Metrics

Push custom metrics to CloudWatch for monitoring:

CloudWatch Alarms

Alert when Lambda function fails or slows down:

• Error Rate > 1%
• Duration > 5 seconds
• Throttling occurs
• Timeout errors

X-Ray Tracing

Enable X-Ray for distributed tracing across services:

• See how long each operation takes
• Identify bottlenecks
• Debug integration issues