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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.
Docker Best Practices: Build Smaller, Faster, More Secure Images in Production
Posted inDebugging

Docker Best Practices: Build Smaller, Faster, More Secure Images in Production

A senior-engineer guide to Docker best practices, with production-ready patterns, trade-offs, and practical examples.
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Git Mastery: The Commands and Workflows That Senior Engineers Actually Use
Posted inDebugging

Git Workflows: The Commands and Workflows That Senior Engineers Actually Use

A senior-engineer guide to Git workflows, with production-ready patterns, trade-offs, and practical examples.
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React Performance Optimization: Every Technique From memo to Virtualization
Posted inJavaScript

React Performance Optimization: Every Technique From memo to Virtualization

A senior-engineer guide to React performance optimization, with production-ready patterns, trade-offs, and practical examples.
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Go Concurrency Patterns: Goroutines, Channels, and the Patterns Senior Engineers Use
Posted inSystem Design

Go Concurrency Patterns: Goroutines, Channels, and the Patterns Senior Engineers Use

A senior-engineer guide to Go concurrency patterns, with production-ready patterns, trade-offs, and practical examples.
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JavaScript Async/Await: Every Pattern, Pitfall, and Performance Trick
Posted inJavaScript

Javascript Async Await: Every Pattern, Pitfall, and Performance Trick

A senior-engineer guide to JavaScript async await, with production-ready patterns, trade-offs, and practical examples.
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SQL Query Optimization: 15 Techniques That Turn Slow Queries Into Fast Ones
Posted inDebugging

SQL Query Optimization: 15 Techniques That Turn Slow Queries Into Fast Ones

A senior-engineer guide to SQL query optimization, with production-ready patterns, trade-offs, and practical examples.
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Python Performance Secrets: 20 Techniques to Make Your Code 10x Faster
Posted inPython

Python Performance Optimization: 20 Techniques to Make Your Code 10x Faster

A senior-engineer guide to Python performance optimization, with production-ready patterns, trade-offs, and practical examples.
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How Netflix Handles 250M Users: Event-Driven Video Processing Architecture on AWS
Posted inAWS

Netflix-Scale Video Processing: Event-Driven Video Processing Architecture on AWS

A senior-engineer guide to Netflix-scale video processing, with production-ready patterns, trade-offs, and practical examples.
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How to Build a Real-Time Fraud Detection and Decisioning Architecture on AWS with EventBridge, Step Functions, and DynamoDB
Posted inAWS

Aws Fraud Detection Architecture: How to Build a Real-Time Fraud Detection and Decisioning Architecture on AWS with EventBridge, Step Functions, and DynamoDB

A senior-engineer guide to AWS fraud detection architecture, with production-ready patterns, trade-offs, and practical examples.
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AWS Clickstream Analytics at Massive Scale: Kinesis, Lambda, Firehose, S3, Athena, and OpenSearch in Production
Posted inAWS

AWS Clickstream Analytics at Massive Scale: Kinesis, Lambda, Firehose, S3, Athena, and OpenSearch in Production

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