Technical Insights from 16+ Years of Practice
In-depth articles on AI automation, cloud migration, Java development, Kubernetes, and digital transformation — written by practitioners, not theorists.
Building Production-Grade AI Agents with LangChain and Spring Boot
A deep-dive into architecting enterprise AI agents that handle complex multi-step reasoning, tool use, and memory — using LangChain orchestration with Spring Boot backends.
10 Cloud Cost Optimisation Strategies That Saved $2M/Year
Real-world strategies for reducing Kubernetes and AWS infrastructure costs — from right-sizing and spot instances to cluster autoscaling and FinOps dashboards.
Spring Boot 3 Virtual Threads: The Complete Performance Guide
Java 21 virtual threads (Project Loom) in Spring Boot 3 — practical benchmarks, migration guidance, and performance considerations.
Event-Driven Microservices with Kafka: Patterns and Anti-Patterns
Comprehensive guide to building reliable event-driven systems — saga patterns, idempotency, dead letter queues, and the mistakes we see teams make repeatedly.
RAG in Production: Building Enterprise Knowledge Bases That Actually Work
What production RAG systems look like at scale — chunking strategies, embedding models, hybrid search, evaluation metrics, and the real challenges nobody talks about.
Kubernetes Production Readiness Checklist (2025 Edition)
The 40-point checklist we use before declaring a Kubernetes cluster production-ready — covering security, resource limits, monitoring, autoscaling, and disaster recovery.
Monolith to Microservices: A Realistic Migration Roadmap
Stop the big-bang rewrite. Learn the strangler-fig pattern, bounded context identification, and the incremental migration strategy that actually works in practice.
AWS to Azure Migration: A Complete Enterprise Playbook
Service-by-service mapping, migration patterns, and lessons learned from migrating a 200-service AWS workload to Azure for a financial services client.
Common Questions
What AI technologies does Avantika Technology work with?
We work with OpenAI GPT-4, Anthropic Claude, Google Gemini, open-source LLMs, LangChain, LlamaIndex, RAG systems, and custom fine-tuned models — chosen based on your specific use case and budget.
How long does a typical cloud migration take?
Cloud migrations vary by complexity. A simple lift-and-shift for a small application can take 4–8 weeks. A full re-architecture of a complex enterprise system typically takes 6–18 months in structured phases.
Do you work with startups or only enterprise clients?
We work with clients at different stages — from startups building an MVP to established organizations modernising legacy systems. Our engagement model adapts to your stage and budget.
What is the typical team structure for a software project?
A typical engagement includes a senior architect (often Mayank directly), 2–3 senior engineers, a QA engineer, and a DevOps specialist. Team size scales with project complexity and timeline.