Tuning Microsoft Server Clusters
DELIVER HIGH PERFORMANCE AND AVAILABILITY BY OPTIMIZING RESOURCES Beyond implementation and configuration, there's tuning. If only it were a matter of watching the needle 'til it hits the right spot on the dial! But it isn't and that's why you'll be glad expert Bob Buchanan shares his tuning skills in this 1-2-3 tutorial. Reducing a daunting task to a fine -- but doable -- art, Buchanan shows you his proven methodology for guaranteeing optimal performance. Tuning Microsoft Server Clusters exposes the nuts and bolts of cluster and end-to-end system optimization. A CLUSTER IS ONLY AS GOOD AS ITS CONFIGURATION Tuning Microsoft Server Clusters gives you:
* An approach that puts optimization in real-life business and technical context
* A proven methodology that shows you how to get more performance and availability without buying more software or hardware
* Step-by-step instructions that go beyond monitoring and management into proactive analysis for cluster and end-to-end system optimization
* Working techniques that identify bottlenecks; unmask degraded configurations; verify reliability and availability; calculate capacity needs; and help you pinpoint needed improvements
* Illustrated examples of solutions that are integrated into your system's operation
* The best way to optimize highly redundant systems
* Tried-and-tested techniques (over 30,000 hours of experience) for locking in benefits in performance, reliability, and maintainability DON’T JUST BUILD IT AND MANAGE IT -- MAKE IT EARN ITS KEEP!
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7he Cardinal Rule 1
Instrumentation and Measurement
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0O oo activity analysis matrix analyze application server applied load AR-Analysis average baseline bottlenecks cache capacity Chapter Citrix servers client components connections consolidated constraint points Context Switches counters critical path data collection degradation determine discussed disk I/O disk utilization element end-to-end example impact increments indicate infrastructure interactions interrupts load heuristics measurement interval worksheet measurement period megabytes Mercury Interactive methodology monitoring nodes ONEWOR oo oo oo operating system overall packets page faults percent PerfMon performance phase proactive analysis problems processor QSYSWRK QSYS queue QUSRWRK QSYS QZDASOINIT QUSER relational trending requests resource utilization router scenario Script server cluster server farm shown in Figure SNMP SQL server steps stimulus-response surement Switch system calls threads timestamps topology traffic transactions typically user load user response versus Virtual User vmstat Web server Windows NT