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Cloudflare Develops Meerkat for Global Distributed Consensus

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Key points

  • Cloudflare's Meerkat uses QuePaxa for distributed consensus.
  • All replicas can write simultaneously, avoiding leader timeout issues.
  • Meerkat is in development for internal control plane state management.

Introduction to Meerkat

Cloudflare's internal services often require consistent control-plane state management across more than 330 global data centers. Traditional consensus algorithms struggle under unpredictable Internet conditions, leading to potential data inconsistencies and systemic downtime.

Challenges with Existing Consensus Algorithms

Common algorithms like Raft face limitations in wide-area networks because they depend on designated leaders and timeout configurations. If a leader fails, the system can become inoperable until a new one is elected, which can exacerbate delays in data synchronization.

Development of Meerkat with QuePaxa

In response to these challenges, Cloudflare's Research team has developed Meerkat, based on the QuePaxa algorithm. This new approach allows any replica to write data at any time, thereby ensuring that system progress is never stalled by leader failures or timeouts.

Current Status and Future Plans

Meerkat is still in the experimental phase and designed primarily for internal operations, targeting small pieces of control plane state management. It is poised to be the first large-scale deployment of the QuePaxa algorithm in an industrial setting.

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Reporting from

Cloudflare has developed a new distributed consensus service called Meerkat, utilizing the QuePaxa algorithm to enable all replicas to write data simultaneously. This approach addresses challenges faced by traditional consensus algorithms like Raft, particularly in variable network environments. Meerkat is currently in development and is intended for internal use to manage control plane state.