Technical guides and step-by-step instructions on building cloud-native applications, engineering thought leadership, and scaling Agentic AI.
Parts 1–5 were about building the thing. This post covers the two questions that come up in every budget and roadmap conversation: operations (observability, deployment model, paused runs, iteration caps) and cost (per-node cost modeling, model tiering, caching, human-review staffing).
Deploy ADK 2 agents completely self-hosted with Docker, Postgres DatabaseSessionService, Caddy HTTPS, Jaeger tracing, and Loki logging.
Automate regression testing and benchmark agent performance with ADK's AgentEvaluator. Measure tool trajectory accuracy and response match scores.
Implement deterministic guardrails, audit logging, and runtime policy enforcement across all six ADK 2 lifecycle callback hooks.