Many organizations view virtualization as a key technology that can deliver real business value by making their IT...
There are two common avenues organizations can follow to exploit virtualization. The first is primarily motivated...
TeamQuest (now Vityl Capacity Management) provides unintrusive mechanisms for instrumenting applications and analyzing application performance. Neil Gunther describes how to use those mechanisms.
Dissect the psychology of IT managers that prefer to let a project fail as long as it fails on time in this provocative article by Dr. Gunther.
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 guide explains how service oriented architecture (SOA) requires unique capacity management considerations for your IT organization.
This is a little quiz to test your understanding of the triplet of numbers that appear in the UNIX® load average (LA) performance metric.
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.
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.
This paper discusses avoiding calculation results that are more precise than is justified by precision of corresponding measurement input data.
In this white paper, the root cause of the deviations from the expected results are explained and an improved scheme is proposed for getting more accurate estimates.
In this guide, John Miecielica of Metavante, provides a step-by-step example showing...
This guide shares best practices for keeping your IBM i (iSeries, AS/400) high availability architecture and costs under control. Read now!
Are there uncomfortable gaps in your HA/DR strategy? Read this guide to get everything you need to get started with IBM i high availability.
Our years of experience shows that organizations waste 30% of their hybrid IT spend, on average. This article identifies the five key components of a cost optimization strategy and how to be successful with each of them.