Stripe Zero-Downtime Data Migration Platform: Millisecond Switching for PB-Scale Data Transfers

Stripe's Zero-Downtime Data Movement Platform

At QCon San Francisco 2025, Jimmy Morzaria, Staff Software Engineer at Stripe, unveiled the company’s Zero-Downtime Data Movement Platform — a petabyte-scale migration system with traffic cutovers typically completing in milliseconds.

This platform supports 5 million database queries per second across 2,000+ MongoDB shards, achieving 99.9995% availability for $1.4 trillion in annual payments.

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Core Principles of Stripe’s Migration Process

The migration blueprint, spanning six phases, is guided by three essential principles:

  • Maintain data consistency with downtime shorter than a node failover.
  • Minimize performance impact on live queries.
  • Support shards of all sizes — from small datasets to tens of terabytes.
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Stages of Stripe's DocDB zero-downtime data movement

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Step-by-Step Migration Process

1. Migration Registration

  • Updates the routing metadata service.
  • Registers new target shards and their key ranges.
  • Records the future destination of data before movement begins.

2. Bulk Data Import

  • Uses an optimized import service — 10× faster than standard imports.
  • Index-aligned insert ordering:
  • Data sorted by most-used indexes within each shard.
  • Aligns with MongoDB’s B-tree engine, yielding up to 10× speed improvements.

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3. Async Replication

A dedicated replication service:

  • Maintains bidirectional sync between source and target shards.
  • Captures ongoing source changes and replicates them back to source shards.
  • Enables full rollback capability in case of issues — critical for financial data integrity.
image

Architecture overview of the async replication step

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4. Validation

A validation service:

  • Compares source and target shard data for correctness.
  • Verifies integrity before any traffic switching.

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5. Traffic Switch (Cutover)

The most sophisticated phase, based on versioned gating:

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Traffic switch powered by “versioned gating” — minimal downtime

Sequence:

  • Client application queries via the proxy (version 1 → source DB).
  • Coordinator sets version 2, verifies replication sync.
  • Proxy fetches updated routes and sends queries to target DB.
  • Source shard continues receiving updates → preserves rollback path.

Timing: Entire switch completes in milliseconds to 2 seconds, making disruption virtually imperceptible.

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6. Migration Deregistration

  • Cleans up migration metadata.
  • Decommissions infrastructure used during migration.

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Advanced Capabilities

Beyond typical scale-out migrations, the platform also supports:

  • Shard merging
  • Multi-release MongoDB version upgrades
  • Tenancy model transitions

Design choice:

  • In-house build to meet:
  • Security enforcement
  • Predictable performance
  • Multi-tenancy with enforced quotas

By 2020, shard sizes reached tens of terabytes, necessitating a systematic migration solution.

Morzaria stressed that 40% of customers abandon transactions after payment denials — making zero downtime mission critical.

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Broader Implications & Tooling Synergies

This precision-engineered migration system demonstrates how large-scale infrastructure can evolve without service disruption.

Open-source ecosystems like AiToEarn complement such goals by:

  • Enabling AI-powered content generation.
  • Publishing simultaneously across major channels (Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X/Twitter).
  • Providing analytics tracking and AI model rankings.
  • Streamlining monetization while retaining data control.
  • See GitHub and docs.

Platforms with coordinated updates and real-time monitoring mirror key principles from zero-downtime migrations — ensuring speed, safety, and scalability.

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In summary: Stripe’s Zero-Downtime Data Movement Platform illustrates the importance of strategic infrastructure investments for operational resilience, security, and seamless scaling — lessons that can inform both enterprise data workflows and multi-platform automation systems.

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