Blogging 122
- The AI Dev Lifecycle: Plan, Code, Test, Refactor, Document
- Prompting and Code Review: Templates, Iteration, and Security
- Vibe Engineering: Quality Control for AI-Generated Code
- Cloud-Native and Microservices: Scale, Resilience, and the 12-Factor App
- Data and AI Architectures: Pipelines, RAG, and Observability
- Software Architecture: Foundations, Patterns, and Diagrams
- Design Patterns for AI-Assisted Development, Part 2: Structural & Behavioral Patterns
- Design Patterns for AI-Assisted Development, Part 1: Principles & Creational Patterns
- Agentic SDD & SPDD: Multi-Agent Workflows for Structured Prompt-Driven Development
- Agentic TDD: Multi-Agent Workflows for Zero-Code Test Generation
- TDD Fundamentals: Red-Green-Refactor
- OpenSearch for Observability — Part 4: Latency & Failure Modes
- OpenSearch for Observability — Part 3: OpenSearch as a Metrics Backend
- OpenSearch for Observability — Part 2: Ingestion Pipeline, Index Strategy, and Network Optimisation
- OpenSearch for Observability — Part 1: From logger.info() to the Wire
- The Feature Flag That Taught Me Three Hard Lessons
- Debugging Databricks Caching: Defeating the RemoteFileChangedException
- Authorization Deep Dive: OIDC
- Authorization Deep Dive: OAuth 2.0
- Authentication Deep Dive: AWS IAM, Roles, and Service-to-Service Authentication
- Authentication Deep Dive: How JWT Works
- PySpark: Testing, Performance & Production Best Practices in PySpark
- PySpark: Delta Lake & Structured Streaming in PySpark
- PySpark: Advanced Analytics Patterns in PySpark
- PySpark: DataFrame Operations & Transformations in PySpark
- PySpark Fundamentals: Architecture, Sessions & Core Concepts
- Building Databricks Medallion Pipelines with DynamoDB – Part 4: Complete Event-Driven Workflow Orchestration
- Building Databricks Medallion Pipelines with DynamoDB – Part 3: Gold Layer, Aggregations, and Event‑Driven Orchestration
- Building Databricks Medallion Pipelines with DynamoDB – Part 2: Silver Layer, Data Quality, and Integration
- Building Databricks Medallion Pipelines with DynamoDB – Part 1: Lakehouse, Bronze Layer, and Ingestion
- MCP in Action: Connecting Groq LLMs to Gmail and Stock APIs
- AI Engineering Learning: Multi-Agent Systems & Orchestration
- AI Engineering Learning: Memory Integration for LLMs
- AI Engineering Learning: LangGraph Workflows
- AI Engineering Learning: Tool Integration with LLMs
- AI Engineering Learning: RAG Implementation
- AI Engineering Learning: LangChain Fundamentals
- AI Engineering Learning: From Zero to Multi-Agent Systems
- DynamoDB Single Table Design: Strategic Key Design and GSI Optimization
- Understanding DynamoDB Delimiters and Lexicographical Sorting
- Reindexing in OpenSearch: A Step-by-Step Guide
- The Complete Guide to OpenSearch: From Architecture to Implementation
- Revolutionizing Asset Management Through Graph-Based Ownership Networks
- From Control to Action Part 4: Building Dynamic Rule Execution APIs
- From Java to Python: A Developer's Guide to Testing Migration
- From Chaos to Control Part 3: Conditional Rule Orchestration
- From Chaos to Control Part 2: Configuration-Driven Rule Orchestration
- From Chaos to Control Part 1: Building Enterprise-Grade Rule Engines in Python
- Effortless Postgres-S3 Data Flow (Spring Boot)
- Scalability for Dummies: A Comprehensive Guide to Building Scalable Web Services
- Understanding Apache Camel: A Comprehensive Guide to Integration Patterns and System Management
- Essential Tech Blogs Every Software Engineer Should Follow
- Understanding Aspect-Oriented Programming (AOP) in Spring Boot
- Kafka Schema Registry and JSON Schema: A Comprehensive Guide
- Understanding Spring @Transactional Annotation: A Comprehensive Guide
- Comprehensive Guide to Caching in Spring Boot with Redis
- How to Implement Rate Limiting in Spring Boot APIs Using Aspect-Oriented Programming (AOP)
- Part 5: Database Engineering Fundamentals: Write Amplification Problem in PostgreSQL
- Part 5: Database Engineering Fundamentals: Why Uber Engineering Switched from Postgres to MySQL
- Part 5: Database Engineering Fundamentals: WAL, Redo and undo logs in postgres
- Part 5: Database Engineering Fundamentals: TOAST table in Postgres
- Part 5: Database Engineering Fundamentals: PostgreSQL Process Architecture
- Part 5: Database Engineering Fundamentals: Postgres vs MySQL
- Part 5: Database Engineering Fundamentals: Postgres Locks — A Deep Dive
- Part 5: Database Engineering Fundamentals: InnoDB B-tree Latch Optimization History
- Part 5: Database Engineering Fundamentals: How Slow is select * in row store
- Part 5: Database Engineering Fundamentals: How Shopify’s engineering improved database writes?
- Part 5: Database Engineering Fundamentals
- Part 4: Database Engineering Fundamentals
- Part 3: Database Engineering Fundamentals: MongoDB internal Architecture
- Part 3: Database Engineering Fundamentals: MongoDB collection clustered index
- Part 3: Database Engineering Fundamentals: MemCached In-Memory database Architecture
- Part 3: Database Engineering Fundamentals
- Part 2: Database Engineering Fundamentals: Sharding with Postgres
- Part 2: Database Engineering Fundamentals
- Part 1: Database Engineering Fundamentals: The Cost of Long running Transactions
- Part 1: Database Engineering Fundamentals: Microsoft SQL Server Clustered Index Design
- Part 1: Database Engineering Fundamentals: Database Page
- Part 1: Database Engineering Fundamentals
- Comprehensive Roadmap for Low-Level and High-Level Design Interview Preparation
- Fundamentals of Network Engineering: Advanced Tools, Concepts, and Conclusion - Part 9
- Fundamentals of Network Engineering: Securing Network Communications with TLS - Part 8
- Fundamentals of Network Engineering: The Journey of a Click - From DNS to Redirection - Part 7
- Fundamentals of Network Engineering: Network Intermediaries - Proxies and Load Balancers - Part 6
- Fundamentals of Network Engineering: Managing Connections and Performance - Part 5
- Fundamentals of Network Engineering: Optimizing and Understanding TCP's Behavior - Part 4
- Fundamentals of Network Engineering: The Cornerstone Protocol - TCP Detailed - Part 3
- Fundamentals of Network Engineering: Essential Network Protocols - ICMP and UDP - Part 2
- Fundamentals of Network Engineering: Foundational Concepts - Client-Server, Standards, and the OSI Model - Part 1
- NGINX: nginRAT - a remote access trojan injecting NGINX
- NGINX: Websockets Demo
- NGINX: NGINX and WebSockets
- NGINX: NGINX config for Level 4 proxy
- NGINX: NGINX config for Level 7 proxy
- NGINX: NGINX config webserver
- NGINX: Nginx timeouts
- NGINX: NGINX demo using Docker
- NGINX: Http 2 with Secure Nginx
- NGINX: TLS with NGINX
- NGINX: Nginx Process Architecture
- NGINX: Threading and Connections
- NGINX: NGINX Layer 4 vs Layer 7 Proxying
- NGINX: Understand and Deploy Layer 4/Layer 7 Load Balancing, WebSockets, HTTPS, HTTP/2, TLS 1.3 (With Docker)
- Understanding the impact of inaccurate User Acceptance Testing Environment
- REST API Based Workflow Design Using iWF Framework
- Code Smell Series: Big Class
- Code Smell Series: Unit Test
- Do not trust others' code
- What makes API documentation terrible?
- Code Smell Series: Shh…something is happening there
- Code Smell Series: Naming smells - Part 2
- Code Smell Series: Naming smells - Part 1
- Tips to test (end to end) library changes - Gradle based Project
- Understanding Nodejs(V8) and Spring Webflux(Netty) — based on Event Loop design
- Approaches for Start and Resume Journey for User Onboarding to Platform
- Challenges in Migration of Application to Another Platform
- AWS API Gateway — Ways to handle Request Timeout
- Understanding Legacy System Migration using Strangler Fig Pattern
- Things I learned from analysis for migration activity
- External Traffic handling in AWS Kubernetes Services
- Understanding Class Loading in Java Virtual Machine
- Understanding Java VM for Memory Management