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Cloudflare launches Spend Management Beta to control usage costs for Workers and Durable Objects

1 fonte(s) · 1 atualização(ões) · publicado 13/11/2026 11:00 · coletado há 1 hora

Cloudflare announced the beta release of Spend Management, a feature enabling pay-as-you-go customers to set spending limits and alerts to control costs on Workers and Durable Objects. This system provides real-time cost tracking with near 10-minute latency and can pause usage when predefined spending thresholds are reached, preventing unexpected charges. Spend Management integrates tightly with Cloudflare's distributed architecture, leveraging a two-stage metering pipeline and a Rating Engine to aggregate usage and enforce caps asynchronously. Additional product support and more granular budget controls for applications and AI agents are planned. This capability is accessible via the Cloudflare dashboard, CLI, and REST API, allowing users to tailor spending controls and receive notifications to manage their billing efficiently.

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  1. blog.cloudflare.com ↗ · pub. 13/11/2026 11:00 · coletado 13/11 12:00 primeiro registro

    Cloudflare launches Spend Management Beta to control usage costs for Workers and Durable Objects

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    Cloudflare announced the beta release of Spend Management, a feature enabling pay-as-you-go customers to set spending limits and alerts to control costs on Workers and Durable Objects. This system provides real-time cost tracking with near 10-minute latency and can pause usage when predefined spending thresholds are reached, preventing unexpected charges. Spend Management integrates tightly with Cloudflare's distributed architecture, leveraging a two-stage metering pipeline and a Rating Engine to aggregate usage and enforce caps asynchronously. Additional product support and more granular budget controls for applications and AI agents are planned. This capability is accessible via the Cloudflare dashboard, CLI, and REST API, allowing users to tailor spending controls and receive notifications to manage their billing efficiently.