Architecture, fallback and response when automation fails.
Analysis on reliability, circuit breakers, safe degradation, incidents, observability and defensive architecture for AI systems.
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Failures, incidents and degraded modes
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Circuit breakers, fallback and recovery
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Observability and reliability engineering
Audit operational resilience
Technical review to find single points of failure before automation becomes operational risk.
Audit operational resilienceSanity-published content connected to this editorial pillar.
2 published articles
Falhas de IA na AWS expõem riscos críticos da automação em infraestruturas enterprise. Como CTOs podem implementar governança robusta para mitigar esses riscos.
Falhas na nuvem Amazon causadas por IA própria revelam riscos críticos. Aprenda arquiteturas defensivas e circuit breakers para proteger sistemas enterprise de automação mal governada.
AI in production
From impressive pilots to systems that survive real operations.
AI in productionLLM integration, RAG and hybrid architecture
Models connected to the business without fragile improvisation.
LLM RAG integrationMLOps, LLMOps and AIOps
Reliability, evaluation and observability for AI that cannot become a black box.
MLOps LLMOps AIOpsAI agents
Useful autonomy without losing control, traceability and cost discipline.
AI agentsAI governance, audit and security
Practical controls for AI that must be explainable, traceable and safe.
AI governanceInfrastructure, FinOps and AI cost
Platforms, latency and cost so AI operates without invoice surprises.
AI infrastructure FinOpsHyperlean, ROI and margin with AI
Before scaling, prove where AI changes cost, revenue or predictability.
AI ROIAI-powered SaaS products
AI as product layer, support, retention and expansion — not just chatbot.
AI SaaS