In this paper we present an introductory analysis of throughput scalability for update intensive workloads (such as measured by the TPC-C or TPC-W benchmarks) and how that scaling is limited by serialization effects in the software-hardware combination that comprises any platform.

In this online article Dr. Gunther digs down into the UNIX kernel to find out how load averages (the “LA Triplets”) are calculated and how appropriate they are as capacity planning metrics.

This is the second in a two part-series where we explore the use of UNIX load averages in performance analysis and capacity planning.

This is an unexpected Part 3 to the discussion about the UNIX load average metric answering the question of where the weight factor comes from.

This article is about delusions that arise from incorrect interpretation of load test measurements.

This paper discusses avoiding calculation results that are more precise than is justified by precision of corresponding measurement input data.

This article explains how correlated or bunched requests can impact capacity planning results.

This article explains how correlated or bunched requests can impact capacity planning results.

This is the final online article concerning the concept of application scalability. Here, you will learn how to determine value of the parameters that control scalability.

This is a little quiz to test your understanding of the triplet of numbers that appear in the UNIX® load average (LA) performance metric.

TeamQuest (now Vityl Capacity Management) provides unintrusive mechanisms for instrumenting applications and analyzing application performance. Neil Gunther describes how to use those mechanisms.

This guide explains how service oriented architecture (SOA) requires unique capacity management considerations for your IT organization.