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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.
Python asyncio vs Threading: The Benchmark That Changes How You Think About Concurrency
Posted inPython

Python asyncio vs Threading: The Benchmark That Changes How You Think About Concurrency

Python asyncio and threading achieve concurrency through completely different mechanisms. Real benchmarks across I/O-bound, CPU-bound, and mixed workloads reveal exactly when each approach wins.
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JavaScript Generator Functions: Lazy Evaluation and Infinite Sequences Done Right
Posted inJavaScript

JavaScript Generator Functions: Lazy Evaluation and Infinite Sequences Done Right

Generator functions produce values on demand instead of computing everything upfront. They enable infinite sequences, lazy pipelines, and async iteration patterns that no other JavaScript feature can match.
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AWS S3 Presigned URLs: The Security Mistakes 90% of Developers Make
Posted inAWS

AWS S3 Presigned URLs: The Security Mistakes 90% of Developers Make

Presigned URLs seem simple but hide serious security traps: excessively long expiry, no bucket policy enforcement, credential exposure in logs, and SSRF vulnerability patterns.
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Python Dataclasses: 10 Advanced Features That Make __init__ Obsolete
Posted inPython

Python Dataclasses: 10 Advanced Features That Make __init__ Obsolete

Python dataclasses do far more than generate __init__. Field metadata, post-init processing, frozen instances, __slots__ integration, and ClassVar usage that most tutorials skip entirely.
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PostgreSQL Query Planner Secrets: Make Your JOINs 10x Faster Without Indexes
Posted inDebugging

PostgreSQL Query Planner Secrets: Make Your JOINs 10x Faster Without Indexes

The PostgreSQL query planner makes decisions most developers never question. Understanding how it thinks — and how to guide it — can make the difference between a 5-second query and a 50ms one.
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Design a Production Rate Limiter: Algorithms Seniors Actually Use in Interviews and at Work
Posted inSystem Design

Design a Production Rate Limiter: Algorithms Seniors Actually Use in Interviews and at Work

Token bucket, sliding window, fixed window — rate limiting algorithms explained with actual implementation code in Node.js and Redis, plus the distributed systems gotchas that catch everyone out.
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JavaScript WeakMap and WeakRef: The Memory Management Primitives Nobody Teaches
Posted inJavaScript

JavaScript WeakMap and WeakRef: The Memory Management Primitives Nobody Teaches

WeakMap and WeakRef let objects be garbage collected even when referenced. They solve cache invalidation, DOM cleanup, and observer patterns without memory leaks. Here is how they actually work.
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DynamoDB Single-Table Design: The Pattern That Scales to Billions of Items
Posted inAWS

DynamoDB Single-Table Design: The Pattern That Scales to Billions of Items

DynamoDB single-table design feels counterintuitive at first. One table for everything, no joins, access patterns defined upfront. Once you understand it, you never go back.
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Node.js Streams Backpressure: The Memory Leak That Kills Servers at 3AM
Posted inNode.js

Node.js Streams Backpressure: The Memory Leak That Kills Servers at 3AM

Node.js streams with unhandled backpressure silently consume all available memory until your server crashes. Here is how to detect it, understand it, and fix it permanently.
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Python’s GIL Explained: Why Your Threads Aren’t Actually Parallel (And the Fix)
Posted inPython

Python’s GIL Explained: Why Your Threads Aren’t Actually Parallel (And the Fix)

Python's Global Interpreter Lock prevents true thread parallelism for CPU-bound code. Here's exactly why it exists, what it protects, when it hurts you, and the three ways to bypass it.
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