Insights on AI & Architecture
Technical deep-dives, practical guides, and lessons learned from building enterprise AI and cloud solutions.
Multi-Cloud Architecture: Patterns for Enterprise Success
Explore proven patterns for building resilient, cost-effective multi-cloud architectures that leverage the best of AWS, Azure, and GCP.
Fine-tuning LLMs for Enterprise: A Practical Guide
Learn when and how to fine-tune large language models for domain-specific applications, including cost considerations and quality metrics.
Scaling Event-Driven Architecture: Lessons from 1B+ Events/Day
Practical insights from building and scaling event-driven systems that process billions of events daily with sub-second latency.
Building AI Agents for Production: Beyond the Demo
What it takes to move AI agents from impressive demos to reliable production systems. Covers guardrails, monitoring, and failure handling.
Kubernetes Cost Optimization: Advanced Strategies
Advanced techniques for reducing Kubernetes costs without sacrificing performance or reliability. Real examples with 40%+ savings.
Technical Leadership in the AI Era
How technical leaders can navigate the AI transformation, build effective teams, and drive innovation while managing risk.
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