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AWS published a five-stage playbook for managing Amazon Bedrock costs that targets FinOps and platform engineering teams. The guidance emphasizes invoice-grade attribution via IAM principal data in CUR 2.0, per-request observability, budget enforcement, platform-wide defaults (model routing, caching, token limits), and an operational review cadence to control agentic and high-invocation workloads.
A panel of practitioners (Stéphane Di Cesare, Davide de Paolis, Stephen Cihak, Camila Macedo, Renato Losio) discusses how platform teams are adapting to support AI-assisted engineering, which capabilities should live in the platform, and trade-offs between standardization and developer autonomy; they also share approaches for managing AI tooling, security guardrails, and changing workflows.
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