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Inside Netflix’s Graph Abstraction: Handling 650TB of Graph Data in Milliseconds Globally
Netflix engineers built Graph Abstraction, a high-throughput platform managing 650 TB of graph data with millisecond latency. Supporting services from Netflix Gaming’s social graphs to operational topology graphs, it maintains global availability via asynchronous replication. This article covers its architecture, caching, and traversal design for high-scale performance.
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From Outages to Order: Netflix’s Approach to Database Resilience with WAL
Netflix uses a Write-Ahead Log (WAL) system to improve data platform resilience, addressing data loss, replication entropy, multi-partition failures, and corruption. WAL decouples producers and consumers, leverages SQS/Kafka with dead-letter queues, and supports delay queues, cross-region replication, and multi-table mutations for high-throughput, consistent, and recoverable database operations.
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A Look at MongoRepository for .NET
Most of the open source projects we share with you on InfoQ increase the capabilities of another library or technology. MongoRepository is different in that it intentionally limits the capabilities of the underlying library. We’ll let Rob Janssen why it does this in his own words.