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Are you sure that your HA/DR plan will allow you to recover after a disaster? Read this guide to learn the best way to build a strong IBM i recovery strategy.
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.
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.
Learn how to size your POWER9 Power Systems servers with confidence. Download the IBM i capacity planning guide today!
This guide shares best practices for keeping your IBM i (iSeries, AS/400) high availability architecture and costs under control. Read now!
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.
CHALLENGES : Virtualization and increasingly complex agile computing environments are creating difficulties for IT financial...
Overview : The DevOps methodology embodies two core philosophies: decreasing the lead time of software deployment and the...
Tech has had a tremendous impact on the way today’s businesses seek continued growth and improvement. No matter what business they are in,...
Capacity management, considered by top analyst firms to be an essential process in any large IT organization, is often so complex that in today’s...
In this guide, John Miecielica of Metavante, provides a step-by-step example showing...
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.
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.