How DasMeta Migrated a High-Traffic MySQL Database to AWS Aurora with 99.9% Uptime
How Das Meta Migrated a High-Traffic MySQL Database to AWS Aurora with 99.9% Uptime
The Problem: Outgrowing On-Premise Infrastructure
Our legacy MySQL environment had served us well, but we were hitting clear limitations:
Choosing the Right Tools for the Job
Initially, we considered using AWS Database Migration Service (DMS), but after internal testing, we decided it wasn’t the right fit for our use case. We wanted more control and transparency.
Instead, we built a custom pipeline using:
This gave us the control we needed to fine-tune every step of the process.
☁️ Setting Up Aurora: Scalable, Reliable, and Cost-Efficient
Running in Parallel: 2 Months of Testing and Validation
During this period:
This approach gave us the confidence to proceed with the switch without surprises.
Simplifying the Architecture with ProxySQL
With ProxySQL, we were able to:
This abstraction layer gave us a safe buffer and made integration far easier.
The Final Cutover: Smooth, Fast, and Nearly Invisible
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