Deep dives into AI, cloud architecture, digital transformation, and engineering best practices from NexaTech's 1,200+ engineers.
AI & Machine Learning · 12 min read
A technical deep-dive into the architecture decisions, failure modes, and lessons learned from deploying a large-scale retrieval-augmented generation system.
A technical deep-dive into the architecture decisions, failure modes, and lessons learned from deploying a large-scale retrieval-augmented generation system in financial services.
Dr. David Kim
VP of AI & ML
Practical strategies for right-sizing workloads, implementing spot instances, and using VPA/HPA intelligently to dramatically reduce Kubernetes infrastructure costs.
Sophie Beaumont
VP of Engineering
How a major health system discovered that 8 years of deferred refactoring was costing them $4M annually in rework, security incidents, and developer turnover.
Michael Torres
CEO
We've been running Next.js App Router with RSC in production since early access. Here's what worked, what broke, and what we'd do differently.
Sophie Beaumont
VP of Engineering
A comprehensive guide to the silo, pool, and bridge isolation models for multi-tenant SaaS, with cost and security trade-off analysis from real deployments.
Priya Nair
CTO
After 80+ enterprise AI deployments, we've identified the patterns that separate successful production AI from expensive proof-of-concepts that never ship.
Dr. David Kim
VP of AI & ML
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