Strategizing AI spend in a world of token-based pricing. Discusses prompt engineering for efficiency, choosing between small vs. large models, and implementing guardrails to prevent runaway AI costs. Covers token monitoring, cost attribution, model selection trade-offs, caching strategies, rate-limiting, and ROI measurement frameworks for sustainable AI deployment.
Introduces Architecture Decision Records as a lightweight practice for documenting significant architectural decisions. Discusses ADR structure, when to create them, maintaining decision history, and using ADRs to onboard engineers and prevent revisiting settled debates.
Establish a robust governance framework for GenAI within the enterprise. Covers policy development, risk assessment (hallucinations, bias, data leakage), and organizational structures for AI oversight. Discusses lifecycle governance, security and ethical risk mitigation, AI Centers of Excellence, role-based access controls, continuous monitoring, and strategic alignment.
Comprehensive guide to building scalable web applications through proven architecture patterns. Covers monolithic vs microservices approaches, database scaling strategies, caching mechanisms, load balancing, and infrastructure optimization enabling sustainable growth from hundreds to millions of users.
A comprehensive guide to mapping the complete B2B customer journey from awareness through renewal and advocacy. Shows how to identify pain points, moments of truth, and opportunities for product improvements that drive retention and expansion. Includes stakeholder mapping, touchpoint analysis, pain point discovery, and measurement frameworks for continuous journey optimization.
Modern approaches to enterprise integration including event-driven architecture, API gateways, message brokers, and integration platforms. Discusses choosing appropriate patterns for different integration scenarios, comparing message brokers, selecting API gateways, implementing error handling and retry strategies that ensure reliable distributed communication.
Addresses the governance challenges that emerge as organizations scale microservices. Discusses service ownership models, API contracts, data consistency, and preventing the proliferation of unmaintained services. Provides frameworks for establishing policies, standards, and best practices that enable successful microservices adoption while maintaining organizational coherence and preventing architectural chaos.