Nitin Kumar

Not every workload needs microservices, event-driven patterns, or serverless. Over-decomposed architectures create distributed monoliths, event spaghetti, and operational nightmares that cost more and move slower than the monolith they replaced.

As organizations increasingly leverage large language models (LLMs) to automate knowledge work—from content creation to summarization and multilingual communication—new challenges arise around trust, governance, and quality control. This session introduces a modular framework for building agentic workforces: semi-autonomous AI systems that work in tandem with human oversight to deliver scalable, high-quality outcomes.

In this builders’ session, explore how to optimize your AWS Marketplace spend through data-driven cost analysis and control. Implement granular tags, detailed usage reports, and cost allocation tagging.