Logeshwaran, Author at CheatCoders - Page 40 of 45

About Logeshwaran

I am an experienced AWS Full Stack Developer with expertise in building scalable, cloud-native applications using a wide range of technologies, including AWS, Angular, Java, Node.js, Python, Terraform, Docker, and TypeScript. With a strong focus on delivering high-performance solutions, I specialize in leveraging AWS services for cloud architecture, creating dynamic front-end interfaces, and building efficient back-end systems. I have hands-on experience in automating infrastructure with Terraform, containerizing applications using Docker, and implementing DevOps best practices.

Production-Grade Multi-Region E-Commerce Checkout on AWS with Aurora Global Database, EventBridge, and SQS

AWS

Aws Multi-Region Checkout: Production-Grade Multi-Region E-Commerce Checkout on AWS with Aurora Global Database, EventBridge, and SQS

A senior-engineer guide to AWS multi-region checkout, with production-ready patterns, trade-offs, and practical examples.

Designing an Active-Active Global Collaboration Platform on AWS with API Gateway, EKS, DynamoDB Global Tables, and EventBridge

AWS

Aws Active-Active Architecture: Designing an Active-Active Global Collaboration Platform on AWS with API Gateway, EKS, DynamoDB Global Tables, and EventBridge

A senior-engineer guide to AWS active-active architecture, with production-ready patterns, trade-offs, and practical examples.

How to Build a Modern AWS Data Lake for Operational and Business Analytics with S3, Glue, Athena, Kinesis, and EventBridge

AWS

Aws Data Lake Architecture: How to Build a Modern AWS Data Lake for Operational and Business Analytics with S3, Glue, Athena, Kinesis, and EventBridge

A senior-engineer guide to AWS data lake architecture, with production-ready patterns, trade-offs, and practical examples.

How to Build a High-Scale Product Search and Catalog Platform on AWS with OpenSearch, DynamoDB, SQS, and EventBridge

AWS

Aws Product Search Architecture: How to Build a High-Scale Product Search and Catalog Platform on AWS with OpenSearch, DynamoDB, SQS, and EventBridge

A senior-engineer guide to AWS product search architecture, with production-ready patterns, trade-offs, and practical examples.

Production IoT Telemetry on AWS: Kinesis, Lambda, DynamoDB, S3, and Event-Driven Device Command Workflows

AWS

Aws Iot Telemetry: Kinesis, Lambda, DynamoDB, S3, and Event-Driven Device Command Workflows

A senior-engineer guide to AWS IoT telemetry, with production-ready patterns, trade-offs, and practical examples.

How to Design a Global Media Delivery and Personalization Platform on AWS with CloudFront, S3, API Gateway, and DynamoDB Global Tables

AWS

Aws Media Delivery Architecture: How to Design a Global Media Delivery and Personalization Platform on AWS with CloudFront, S3, API Gateway, and DynamoDB Global Tables

A senior-engineer guide to AWS media delivery architecture, with production-ready patterns, trade-offs, and practical examples.

AWS Multi-Tenant SaaS Control Plane Architecture: API Gateway, ECS, DynamoDB, Step Functions, and EventBridge

AWS

Aws Multi-Tenant Saas Architecture: API Gateway, ECS, DynamoDB, Step Functions, and EventBridge

A senior-engineer guide to AWS multi-tenant SaaS architecture, with production-ready patterns, trade-offs, and practical examples.

How to Build a Hyper-Scale Serverless API Platform on AWS with API Gateway, Lambda, DynamoDB, and CloudFront

AWS System Design

Serverless API on AWS: API Gateway, Lambda, DynamoDB and SQS, From First Endpoint to Production

Serverless API architecture on AWS: REST vs HTTP API, throttling and Lambda scaling limits, idempotent DynamoDB writes, SQS workers, WAF, and a tested SAM template.

LLM Context Window Engineering: Fit More Into 200K Tokens and Get Better Answers

AI & Developer Tools

LLM Context Window Engineering: Fit More Into 200K Tokens and Get Better Answers

A senior-engineer guide to LLM context window engineering, with production-ready patterns, trade-offs, and practical examples.

Prompt Engineering for Developers: Patterns That Produce Production-Ready Code Every Time

AI & Developer Tools

Prompt Engineering for Production Code: Context First, Tagged Examples, Positive Constraints, and an Acceptance Check

Prompt engineering for developers: put your code first and the task last, tag 3-5 examples, phrase constraints positively, and accept generated code only after AST checks and tests.