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High Volume Consumer Mobile
Application Using Redis on AWS
Presentation to Tech Meetup
George Nassef
Chief Technology Officer
Previous Architecture
 Multiple MySQL Clusters on AWS Instances
 Geo-Distributed For Low-Latency
 Load-balanced RO MySQL Instances Using
Replication.
 Cached Videos Using ElasticCache CDN.
 MySQL Replication for Speed.
Problems
 MySQL Replication is Cumbersome
 Management of Multiple RO MySQL, No Fun.
 Code Complexity and Management.
 Cache Expiration and Object Permanence.
 Scaling User-Authentication Special Case.
Solution
 Migrated Heavy Hit Data to Redis
 Setup Redis Clusters for Performance Fail-over.
 Code simplification was dramatic.
 Nearly All MySQL was able to be retired.
 Kept MySQL Insert (1-time) for persistent data.
 Kept keyed Redis entries for subsequent Reads.
Benefits
 150x performance improvement.
 Able to reduce AWS footprint, save $$$$.
 Switched to Spot Instances for Redis Slaves.
 Saved more $$$$.
 Faster Mobile Consumer Experience.
 Able to geo-distribute worker servers for even better
speed.
 Smaller Code Footprint, faster development.

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Replacing MySQL With REDIS For High Volume Processing by George Nassef

  • 1. High Volume Consumer Mobile Application Using Redis on AWS Presentation to Tech Meetup George Nassef Chief Technology Officer
  • 2. Previous Architecture  Multiple MySQL Clusters on AWS Instances  Geo-Distributed For Low-Latency  Load-balanced RO MySQL Instances Using Replication.  Cached Videos Using ElasticCache CDN.  MySQL Replication for Speed.
  • 3. Problems  MySQL Replication is Cumbersome  Management of Multiple RO MySQL, No Fun.  Code Complexity and Management.  Cache Expiration and Object Permanence.  Scaling User-Authentication Special Case.
  • 4. Solution  Migrated Heavy Hit Data to Redis  Setup Redis Clusters for Performance Fail-over.  Code simplification was dramatic.  Nearly All MySQL was able to be retired.  Kept MySQL Insert (1-time) for persistent data.  Kept keyed Redis entries for subsequent Reads.
  • 5. Benefits  150x performance improvement.  Able to reduce AWS footprint, save $$$$.  Switched to Spot Instances for Redis Slaves.  Saved more $$$$.  Faster Mobile Consumer Experience.  Able to geo-distribute worker servers for even better speed.  Smaller Code Footprint, faster development.