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(SDD415) NEW LAUNCH: Amazon Aurora: Amazon’s New Relational Database Engine | AWS re:Invent 2014

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Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Starting today, you can sign up for an invitation to the preview of the service. Come to our session for an overview of the service and learn how Aurora delivers up to five times the performance of MySQL yet is priced at a fraction of what you'd pay for a commercial database with similar performance and availability.

Published in: Technology

(SDD415) NEW LAUNCH: Amazon Aurora: Amazon’s New Relational Database Engine | AWS re:Invent 2014

  1. 1. November 12, 2014 | Las Vegas, NV Anurag Gupta, General Manager
  2. 2. SQL Transactions Caching Logging
  3. 3. SQL Transactions Caching Logging SQL Transactions Caching Logging Application
  4. 4. SQL Transactions Caching Logging SQL Transactions Caching Logging Application
  5. 5. SQL Transactions Caching Logging SQL Transactions Caching Logging Storage Application
  6. 6. Logging + Storage SQL Transactions Caching Control PlaneData Plane Amazon S3 DynamoDB Amazon SWF Amazon Route 53
  7. 7. SQL Transactions AZ 1 AZ 2 AZ 3 Caching Amazon S3
  8. 8. Checkpointed Data Redo Log Crash at T0 requires a re-application of the SQL in the redo log since last checkpoint T0 T0 Crash at T0 will result in redo logs being applied to each segment on demand, in parallel, asynchronously
  9. 9. SQL Transactions Caching SQL Transactions Caching SQL Transactions Caching Caching process is outside the DB process and remains warm across a database restart
  10. 10. Page cache invalidation Aurora Master 30% Read 70% Write Aurora Replica 100% New Reads Shared Multi-AZ Storage MySQL Master 30% Read 70% Write MySQL Replica 30% New Reads 70% Write Single threaded binlog apply Data Volume Data Volume
  11. 11. - 10 20 30 40 50 60 70 10 100 1,000 10,000 ThousandsofWritesPerSecond Number of Tables Write Performance & Table Count Aurora MySQL on I2.8XL MySQL on I2.8XL with RAM Disk RDS MySQL with 30,000 IOPS (Single AZ) Tables Aurora MySQL I2.8XL Local SSD MySQL I2.8XL RAM Disk RDS MySQL 30K IOPS (Single AZ) 10 60,000 18,000 22,000 25,000 100 66,000 19,000 24,000 23,000 1,000 64,000 7,000 18,000 8,000 10,000 54,000 4,000 8,000 5,000
  12. 12. - 20 40 60 80 100 120 50 500 5,000 ThousandsofWritesperSecond Concurrent Connections Write Performance & Concurrency Aurora RDS MySQL with 30,000 IOPS (Single AZ) Connections Aurora RDS MySQL 30K IOPS (Single AZ) 50 40,000 10,000 500 71,000 21,000 5,000 110,000 13,000
  13. 13. - 50 100 150 200 250 300 350 400 100/0 50/50 0/100 ThousandsofOperations/Second Read/Write Ratio Performance with Query Cache On & Off Aurora without Caching Aurora with Caching RDS MySQL;30,000 IOPS (Single AZ) - without caching RDS MySQL;30,000 IOPS (Single AZ) - with caching R/W Ratio Aurora Without Caching Aurora With Caching RDS MySQL 30K IOPS Without Caching RDS MySQL 30K IOPS With Caching 100/0 160,000 375,000 35,000 19,000 50/50 130,000 93,000 24,000 20,000 0/100 64,000 64,000 16,000 16,000
  14. 14. 2.6 3.4 3.9 5.4 1,000 2,000 5,000 10,000 0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 Updates per Second ReadReplicaLaginmilliseconds Read Replica Lag Aurora RDS MySQL;30,000 IOPS (Single AZ) Updates/ Second Aurora RDS MySQL 30K IOPS (Single AZ) 1,000 2.62ms 0s 2,000 3.42ms 1s 5,000 3.94ms 60s 10,000 5.38ms 300s
  15. 15. vCPU Mem Hourly Price db.r3.large 2 15.25 $0.29 db.r3.xlarge 4 30.5 $0.58 db.r3.2xlarge 8 61 $1.16 db.r3.4xlarge 16 122 $2.32 db.r3.8xlarge 32 244 $4.64 • Storage consumed, up to 64TB, is $0.10/GB/month • IOs consumed are billed at $0.20 per million IO • Prices are for Virginia
  16. 16. https://aws.amazon.com/rds/aurora/preview
  17. 17. http://bit.ly/awsevals

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