AgentOps: validate a fallback model before enabling multi-model routing
A production runbook for proving that an agent fallback model preserves structured outputs, tool boundaries, refusals and traceability before routing live traffic.
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A production runbook for proving that an agent fallback model preserves structured outputs, tool boundaries, refusals and traceability before routing live traffic.
Read articleA production runbook for qualifying circuit breakers, Retry-After, Microsoft Foundry backend pools, canary traffic, observability and rollback before enabling AI API failover.
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Read articleA production runbook for qualifying an AI agent regional failover across model deployment, state, retrieval, tools, identity, traces, canary traffic, validation and rollback.
Read articleA production runbook to separate client reconnects, server pressure, DNS/TLS and network saturation, then validate a fix, scaling decision or rollback.
Read articleA production runbook for controlling blast radius, execution identity, evidence, abort criteria and recovery for an Azure Chaos Studio scenario.
Read articleA production runbook for defining latency budgets, idempotency, retries, circuit breakers, traces and rollback for an MCP tool called by an AI agent.
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