The modern enterprise data landscape demands more than traditional data warehousing or isolated analytics solutions. Organizations need unified platforms that can handle everything from batch ETL processing to real-time streaming analytics, from structured data warehousing to exploratory data science workloads. Azure Synapse Analytics represents Microsoft’s answer to this challenge—a comprehensive analytics service that brings together […]
Read more →Author: Nithin Mohan TK
Hello Namaste! 👋🏻
I'm an accomplished Enterprise Solution Architect & Engineering Leader with 20+ years of progressive experience architecting, building, and scaling transformative enterprise solutions.
⚜️ Solution Architect / AI & Cloud 📌 Galway, Ireland
Mastering GKE: A Deep Dive into Google Kubernetes Engine for Production Workloads
Introduction: Google Kubernetes Engine represents the gold standard for managed Kubernetes, built on the same infrastructure that runs Google’s own containerized workloads at massive scale. This deep dive explores GKE’s enterprise capabilities—from Autopilot mode that eliminates node management to advanced features like workload identity, binary authorization, and multi-cluster service mesh. After deploying production Kubernetes clusters […]
Read more →Running LLMs on Kubernetes: Production Deployment Guide
Deploying LLMs on Kubernetes requires careful planning. After deploying 25+ LLM models on Kubernetes, I’ve learned what works. Here’s the complete guide to running LLMs on Kubernetes in production. Figure 1: Kubernetes LLM Architecture Why Kubernetes for LLMs Kubernetes offers significant advantages for LLM deployment: Scalability: Auto-scale based on demand Resource management: Efficient GPU and […]
Read more →Types of Machine Learning Explained: Supervised, Unsupervised, and Reinforcement Learning
Deep dive into the three fundamental paradigms of machine learning. Explore supervised learning for predictions, unsupervised learning for pattern discovery, and reinforcement learning for decision optimization with practical Python examples.
Read more →Azure Data Factory: A Solutions Architect’s Guide to Enterprise Data Integration
Enterprise data integration has evolved from simple ETL batch jobs to sophisticated orchestration platforms that handle diverse data sources, complex transformations, and real-time processing requirements. Azure Data Factory represents Microsoft’s cloud-native answer to these challenges, providing a fully managed data integration service that scales from simple copy operations to enterprise-grade data pipelines. Having designed and […]
Read more →GraphQL for AI Services: Flexible Querying for LLM Applications
GraphQL provides flexible querying for LLM applications. After implementing GraphQL for 15+ AI services, I’ve learned what works. Here’s the complete guide to using GraphQL for AI services. Figure 1: GraphQL Architecture for AI Services Why GraphQL for AI Services GraphQL offers significant advantages for AI services: Flexible queries: Clients request exactly what they need […]
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