I just finished reading the AWS deep dive on how Netflix consolidated their relational database infrastructure on Amazon Aurora.
While the headline is the massive 75% improvement in performance, the real architectural takeaway for me was the strategy of Consolidation.
Netflix didn't just migrate; they simplified. By moving from a fragmented landscape of self-managed and legacy databases to a unified Aurora ecosystem, they achieved:
Reduced Operational Toil: Less time patching and managing varied engines.
Scalability: Leveraging Aurora’s storage auto-scaling to handle "Netflix scale" traffic spikes.
Cost Efficiency: Performance improvements often translate directly to fewer instances required.
For Solution Architects, this is a prime example of how modernizing the data layer isn't just a tech upgrade-it's a business efficiency play.
Read the full case study here: https://lnkd.in/ek2hGZ6D
💡 Interview Prep Tip:
Question : WHY Aurora is faster ?
Answer: Aurora is faster because it separates Compute from Storage. It writes to a shared, distributed storage volume across 3 Availability Zones (6 copies of data) without the heavy I/O overhead of traditional synchronous replication. This allows the compute nodes to focus purely on query processing.
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