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Production Readiness

Monitoring, observability, and reliability patterns for automated systems.

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  1. Deep Dive13 min read

    How AI Agent Memory Gets Poisoned (And What Operators Can Do)

    Agent memory is the layer attackers reach by leaving instructions in places the agent reads. The damage is persistent and crosses sessions. A taxonomy of the five named attack patterns and the operator controls that hold up against them.

  2. Deep Dive14 min read

    AI Agents in Production: Patterns That Work

    Most agent content focuses on what goes wrong. This article covers what works: the patterns, governance, and practices behind agents that run reliably in production.

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Explore production readiness.

Production readiness is the gap between a working prototype and a system you trust to run reliably. This pillar covers monitoring, observability, and reliability patterns for automated systems: alerting strategies, error handling frameworks, deployment checklists, and the operational runbooks that keep automation running when things break. Guides here are written for teams that have built their automation and now need to operate it with confidence, covering everything from health checks and SLA definitions to incident response and capacity planning.