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

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

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

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