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# Uber and OpenAI Introduce Advanced Infrastructure-Level Control Platforms

**[Collections](https://daily.dev/sources/collections)** · 1 min read · 1 upvotes · 0 comments

## Summary

Uber and OpenAI have each launched infrastructure-level control platforms targeting high-scale system reliability. Uber's Global Rate Limiter handles up to 80 million requests per second using probabilistic traffic shedding and a three-tier feedback loop, removing Redis dependencies to reduce latency. OpenAI's Access Engine replaces traditional rate limiting with a 'credit waterfall' mechanism that transitions users from conventional rate limits to a credit-based system, preserving continuity for creative workflows. Both platforms emphasize distributed enforcement, soft controls, and automated adaptive management at massive scale.

## Content

Uber and OpenAI have each unveiled innovative infrastructure-level control platforms designed to enhance system performance and reliability under demanding conditions. Uber's Global Rate Limiter is built to handle an extraordinary 80 million requests per second using a technique called probabilistic traffic shedding. This sophisticated method is integrated with a three-tier feedback loop that significantly reduces latency by eliminating dependencies on Redis, offering a more efficient and responsive system.

On a parallel front, OpenAI has introduced the Access Engine, which departs from traditional rate-limiting practices by implementing a 'credit waterfall' mechanism. This system is crafted to manage user access by transitioning seamlessly from conventional rate limits to a credit-based method. This approach is particularly beneficial in maintaining momentum for users engaged in creative workflows, ensuring that operations remain smooth and uninterrupted.

Both platforms showcase a commitment to advanced, distributed enforcement and the use of soft controls, which are instrumental in ensuring overall system stability at a vast scale. These developments highlight a shift from manual intervention towards automated, adaptive systems capable of managing complex, high-volume infrastructures.

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---

Tags: [#infrastructure](https://daily.dev/tags/infrastructure), [#openai](https://daily.dev/tags/openai), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#uber](https://daily.dev/tags/uber)

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