Performance Research - Simon Riggs - PGCon

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Summary Holistic feature planning can help PostgreSQL Hackers Success trajectories in major Enterprises are a good model <strong>Performance</strong> is a many headed beast 38 © 2007 EnterpriseDB Corporation
Page 1 and 2: Enterprise Architecture & Performan
Page 3 and 4: Performance Features in PostgreSQL
Page 5 and 6: Web Site Database Single Applicati
Page 7 and 8: + Billing Business customers want
Page 9 and 10: + Decision Support Additional anal
Page 11 and 12: + Regulatory Archive Requirement f
Page 13 and 14: Workload Evolution (1) Generic pro
Page 15 and 16: Workload Evolution (3) Workload gr
Page 17 and 18: Enterprise Architect's Viewpoint H
Page 19 and 20: What is performance, and what can w
Page 21 and 22: Steadiness matters Benchmark of My
Page 23 and 24: Sources of unsteadiness: Vacuum Va
Page 25 and 26: Sources of unsteadiness: Other quer
Page 27 and 28: Throughput Performance Steadiness
Page 29 and 30: Adaptation “Can we run OLTP and
Page 31 and 32: Adaptation: Background Writer Auto
Page 33 and 34: Availability Performance Steadine
Page 35 and 36: Availability: Recovery time Faster
Page 37: Data Integration & DSS Performance

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