Netflix’s Aurora Leap: How a Cloud-Native Shift Delivered 75% Faster Performance and 28% Lower Costs
Ddos 
Netflix has long been regarded as an industry benchmark in cloud architecture, and according to a report by InfoQ, the company has now completed a large-scale migration of its relational database infrastructure to Amazon Aurora. This move is expected to boost overall data access performance by 75% while simultaneously reducing operating costs by 28%.
This transition represents far more than a routine technical upgrade. It marks Netflix’s decisive shift away from self-managed databases running on Amazon EC2 toward fully embracing cloud-native, managed services, offloading much of the operational complexity to AWS.
Prior to the migration, Netflix’s Online Data Storage (ODS) team faced formidable challenges. Its architecture relied on a self-managed, distributed PostgreSQL database deployed across Amazon EC2 instances.
While this approach afforded Netflix a high degree of control, it also imposed a substantial operational burden. The team had to contend with a fragmented database environment, the deployment of custom binaries, manual patching and upgrades, and increasingly complex scaling requirements. When failures occurred, recovery procedures were often intricate and time-consuming, leading directly to latency instability.
To unify its technical strategy and reduce this burden, Netflix chose Amazon Aurora with PostgreSQL compatibility, preserving the PostgreSQL features familiar to developers while benefiting from the convenience of a managed service. Post-migration metrics have clearly validated this decision.
- Spinnaker (continuous delivery platform): Average latency dropped by 50%, with response times improving from 67.57 ms to 41.70 ms.
- Policy Engine service: Latency at critical endpoints fell by an impressive 75%, shrinking from 26.72 ms to just 6.51 ms.
Why is Amazon Aurora so much faster? The answer lies in its architecture, which decouples compute from storage and employs a log-based write mechanism. This design allows Netflix to allocate up to 75% of instance memory to the shared buffer—far exceeding the 25–40% typically achievable with standard PostgreSQL.
Senior Netflix software engineer Ammar Khaku put it plainly: “We no longer need to build and deploy custom binaries with internal patches on Amazon EC2. Moving to off-the-shelf Amazon Aurora allows us to focus on the business rather than the infrastructure.” Netflix is not alone in this shift. Samsung has reportedly migrated 1.1 billion users from traditional Oracle databases to Amazon Aurora, while Panasonic Avionics has achieved up to an 80% reduction in operating costs after its migration—underscoring a broader enterprise trend toward eliminating expensive licensing fees and management overhead.
That said, the report also emphasizes the need for sober evaluation. Aurora, while powerful, is not universally optimal:
- Time-series workloads: For write-intensive scenarios, specialized extensions such as Timescale may deliver faster access and lower costs.
- Global writes: Aurora’s single-writer limitation can be a constraint for applications requiring multi-region write capabilities, where distributed SQL solutions like CockroachDB or TiDB may be better suited.
Nevertheless, for Netflix, Amazon Aurora’s rapid failover capabilities—allowing read replicas to be promoted to writers within 100 milliseconds—significantly enhance system availability, a core value for any large-scale streaming service.
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