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Choosing the Right Data Storage - Carlos Conde - AWS Summit Paris
 

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Choosing the Right Data Storage - Carlos Conde - AWS Summit Paris Presentation Transcript

  • 1. CHOOSING THE RIGHT DATA STORAGE SOLUTION Carlos Conde │Solutions Architect
  • 2. 1. STATIC STORAGE2. FILESYSTEMS3. SYNC VOLUMES4. RELATIONAL DATABASES5. NoSQL DATABASES
  • 3. # 1STATIC STORAGE ●○○○○
  • 4. We are constantly producing more data
  • 5. AMAZON S3SIMPLE STORAGE SERVICE
  • 6. 99.999999999% DURABILITY
  • 7. ORACLESECURE BACKUP MODULE ORACLE RMAN  AMAZON S3
  • 8. USE AMAZON S3 WHEN YOU NEED: Unlimited storage capacity High durability Storage for backups Web access to data + Amazon CloudFront
  • 9. # 2FILESYSTEMS ●●○○○
  • 10. EPHEMERAL STORAGE
  • 11. AMAZON EBSELASTIC BLOCK STORAGE
  • 12. 10GB  TB
  • 13. EBSSNAPSHOTS
  • 14. USE AMAZON EBS WHEN YOU NEED: Filesystem for an instance NTFS, ExtFS, RAID, LVM… Long-term persistent storage Data changes frequently Access to raw, unformatted block- level storage
  • 15. # 3SYNC VOLUMES ●●●○○
  • 16. BACKUPMANAGEMENT
  • 17. AWS STORAGE GATEWAY
  • 18. USE AWS STORAGE GATEWAY WHEN YOU NEED: Backup your data Synchronize data for disaster recovery Export data for migration
  • 19. # 4RELATIONALDATABASES ●●●●○
  • 20. WHAT ABOUT…  BACKUPS?  SCALING?  UPDATES?  MONITORING?  REPLICATION?
  • 21. AMAZON RDSRELATIONAL DATABASE SERVICE
  • 22. BACKUPS &SNAPSHOTS
  • 23. READ REPLICASREAD-ONLY ASYNCHRONOUS REPLICA
  • 24. RDS MULTI-AZSTAND-BY SYNCHRONOUS REPLICA
  • 25. USE AMAZON RDSWHEN YOU NEED: Relational database engine (MySQL, SQLServer, Oracle) Peace of mind about your data More time!
  • 26. # 5NoSQL DATABASES ●●●●●
  • 27. The scalability challenge Requirement: predictable, consistent performance Performance Hardware provisioning Data sharding Data caching Cluster management Reality: performance degrades with scale Fault management Scalability
  • 28. AMAZON DYNAMODBHIGH-PERFORMANCE, FULLY MANAGED NoSQL DATABASE SERVICE
  • 29. LOW LATENCY AVERAGE READS < 5MS, WRITES < 10MS
  • 30. SEAMLESS SCALABILITYNO TABLE SIZE OR THROUGHPUT LIMITS LIVE REPARTITIONING
  • 31. PREDICTABLEPERFORMANCEPROVISIONED THROUGHPUT MODEL
  • 32. DURABLE & AVAILABLECONSISTEN, DISK-ONLY WRITES (SSD)
  • 33. ZEROADMINISTRATION
  • 34. USE AMAZON DYNAMODB WHEN YOU NEED:  Low latency on R/W operations + Scalability + Data durability  Predictable performance
  • 35. 1. STATIC STORAGE2. FILESYSTEMS3. SYNC VOLUMES4. RELATIONAL DATABASES5. NoSQL DATABASES
  • 36. IT’S ALL ABOUT CHOICEPERFORMANCE-ORIENTED COST-ORIENTED