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ARCHITECTURE

⚡ Serverless

Pay-per-execution compute without server management

5+ Years Experience
20+ Projects Delivered
✓ Available for new projects
Used at:
Flowrite Sutraq Technologies Sparrow Intelligence

$ cat services.json

Serverless API Development

Build scalable APIs with serverless functions.

Deliverables:
  • Function design
  • API Gateway setup
  • Authentication
  • Cold start optimization
  • Monitoring

Event-Driven Architectures

Design event-driven systems with serverless.

Deliverables:
  • Event source mapping
  • Queue integration
  • Stream processing
  • Workflow orchestration
  • Error handling

Serverless Migration

Migrate existing applications to serverless.

Deliverables:
  • Architecture assessment
  • Function decomposition
  • State management
  • Cold start mitigation
  • Cost analysis

$ man serverless

Serverless Platforms

AWS Lambda

  • Best for: AWS ecosystem, complex triggers
  • Runtimes: Python, Node.js, Java, Go

GCP Cloud Functions

  • Best for: GCP ecosystem, simple functions
  • Runtimes: Python, Node.js, Go

GCP Cloud Run

  • Best for: Containers, longer execution
  • Runtimes: Any Docker image

Azure Functions

  • Best for: Azure ecosystem, enterprise
  • Runtimes: C#, Python, Node.js

Serverless Patterns

API Backend - REST/GraphQL with functions Event Processing - Queue/stream triggers Scheduled Jobs - Cron-like execution Data Pipeline - ETL with functions Webhooks - External integrations

$ cat README.md

AWS Lambda Example

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import json
import boto3
from typing import Any

def handler(event: dict, context: Any) -> dict:
    """
    API Gateway Lambda handler with proper error handling.
    """
    try:
        # Parse request
        body = json.loads(event.get('body', '{}'))
        
        # Process request
        result = process_request(body)
        
        return {
            'statusCode': 200,
            'headers': {
                'Content-Type': 'application/json',
                'Access-Control-Allow-Origin': '*'
            },
            'body': json.dumps(result)
        }
    except ValueError as e:
        return {
            'statusCode': 400,
            'body': json.dumps({'error': str(e)})
        }
    except Exception as e:
        # Log error for CloudWatch
        print(f"Error: {e}")
        return {
            'statusCode': 500,
            'body': json.dumps({'error': 'Internal server error'})
        }

# SQS Trigger Handler
def sqs_handler(event: dict, context: Any) -> dict:
    """Process messages from SQS queue."""
    for record in event['Records']:
        message = json.loads(record['body'])
        process_message(message)
    
    return {'batchItemFailures': []}

Serverless Architecture

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┌─────────────┐     ┌─────────────────────────────────────┐
│   Client    │────▶│         API Gateway                 │
└─────────────┘     └───────────────┬─────────────────────┘
                                    │
                    ┌───────────────▼─────────────────┐
                    │         Lambda Function          │
                    │   (Request Processing)           │
                    └───────────────┬─────────────────┘
                                    │
         ┌──────────────────────────┼──────────────────────────┐
         ▼                          ▼                          ▼
┌─────────────────┐      ┌─────────────────┐      ┌─────────────────┐
│    DynamoDB     │      │       SQS       │      │       S3        │
│  (Data Store)   │      │  (Queue Jobs)   │      │   (Storage)     │
└─────────────────┘      └────────┬────────┘      └─────────────────┘
                                  │
                    ┌─────────────▼─────────────┐
                    │     Lambda Function        │
                    │   (Background Processing)  │
                    └───────────────────────────┘

$ ls -la projects/

AI Processing Functions

@ Flowrite
Challenge:

Process LLM requests without managing servers.

Solution:

AWS Lambda for API endpoints, SQS for queueing, with proper timeout handling.

Result:

Scalable AI processing, pay-per-use pricing.

Financial Transaction Processing

@ Sutraq Technologies
Challenge:

Process financial events in real-time.

Solution:

AWS Lambda with SQS triggers, DynamoDB for state, and proper error handling.

Result:

Reliable transaction processing, cost-effective scaling.

Webhook Processing

@ Sparrow Intelligence
Challenge:

Process webhooks from various integrations.

Solution:

Cloud Functions with Pub/Sub, idempotent processing, and retry logic.

Result:

Reliable webhook handling without server management.

$ diff me competitors/

+ 5+ years of production serverless experience
+ Multi-cloud—AWS, GCP, Azure
+ Cold start optimization expertise
+ Event-driven architecture specialist
+ Cost optimization focus

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