In spite of their limitations, some of which were discussed in an earlier blog entry , rule-based bromides for automating computer performance analysis endure. A core problem that the rule-based approach attempts to address is that, with all the sources of performance data that are available, we are simply awash in esoteric data that very few people understand or know how to interpret properly. At a bare minimum, we need expert advice on how to navigate through this morass of data, separating the wheat from the chaff, and transforming the raw data into useful information to aid IT decision-making. Performance rules that filter the data, with additional suggestions about which measurements are potentially important, can be quite helpful. A good, current example is the Performance Analysis of Logs (PAL) tool , a free Windows counter analysis tool developed by Clint Huffman, a performance analyst of the first rank who works in Microsoft’s Premier Field Engineering team. PAL serves the n...
A blog devoted to Windows performance, application responsiveness and scalability, software performance engineering (SPE), and related topics in computer performance.