ALL COVERED TOPICS

NoSQLBenchmarksNoSQL use casesNoSQL VideosNoSQL Hybrid SolutionsNoSQL PresentationsBig DataHadoopMapReducePigHiveFlume OozieSqoopHDFSZooKeeperCascadingCascalog BigTableCassandraHBaseHypertableCouchbaseCouchDBMongoDBOrientDBRavenDBJackrabbitTerrastoreAmazon DynamoDBRedisRiakProject VoldemortTokyo CabinetKyoto CabinetmemcachedAmazon SimpleDBDatomicMemcacheDBM/DBGT.MAmazon DynamoDynomiteMnesiaYahoo! PNUTS/SherpaNeo4jInfoGridSones GraphDBInfiniteGraphAllegroGraphMarkLogicClustrixCouchDB Case StudiesMongoDB Case StudiesNoSQL at AdobeNoSQL at FacebookNoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close
Monday, 18 April 2011
‹ Back

Scaling an RDBMS in 6 Steps

About:
,
,

From Gavin Heavyside’s slides:

  • Launch successful service
  • Read saturation: add caching
  • Write saturation: add hardware
  • Queries slow down: denormalize
  • Reads still too slow: prematerialise common queries, stop joining
  • Writes too slow: drop secondary indexes and triggers

Scaling an RDBMS in 6 Steps

Original title and link: Scaling an RDBMS in 6 Steps (NoSQL databases © myNoSQL)