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Production-grade guides on Spring Boot internals, Kafka semantics, Java concurrency, and GenAI engineering. Designed for senior roles at BFSI and Fintech companies.
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Spring Boot Internals: How Auto-Configuration Really Works
Deep dive into @SpringBootApplication, @Conditional annotations, and the spring.factories mechanism. Understand …
Kafka Consumer Groups & Partition Rebalancing
Master consumer group semantics, partition assignment strategies, and what actually happens during a rebalance. …
JVM Evolution: From Java 1.0 to Java 25
A 30-year deep dive into JVM architecture, memory model, garbage collection evolution, and modern Java features …
Designing a Rate Limiter for Distributed Systems
Token bucket vs leaky bucket vs sliding window. How to implement rate limiting at scale with Redis, and handling…
RAG Pipelines with Spring AI and Vector Stores
Build production-grade RAG systems using Spring AI. Covers chunking strategies, embedding models, vector store s…
SQL Query Optimization for High-Volume BFSI Workloads
Indexing strategies, execution plan analysis, partitioning, and write-heavy optimization patterns for financial …
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Spring Boot Auto-Configuration Explained in 20 Minutes
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Kafka Consumer Groups & Rebalancing — What Actually Happens
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Java Virtual Threads Deep Dive — Project Loom in Production
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RAG Pipeline with Spring AI — Build It from Scratch
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