Part III presents many practical examples of how PDQ can be applied. Part II provides the basics of queueing theory in a highly intelligible style for the non-mathematician little more than high-school algebra being required. Part I contains the foundational concepts, as well as a new first chapter that explains the central role of queues in successful performance analysis. Queues are ubiquitous in every computing environment as buffers, and since any application architecture can be represented as a circuit of queueing delays, PDQ is a natural fit for analyzing system performance.īuilding on the success of the first edition, this considerably expanded second edition now comprises four parts. PDQ is an open-source performance analyzer based on the paradigm of queues. That's what PDQ (Pretty Damn Quick) provides. You need tools that enable performance analysis of application workflow across the entire enterprise. To solve performance problems in modern computing infrastructures, often comprising thousands of servers running hundreds of applications, spanning multiple tiers, you need tools that go beyond mere reporting.
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