Thinking Methodically about Performance

Author:

Gregg Brendan1

Affiliation:

1. Joyent

Abstract

Performance issues can be complex and mysterious, providing little or no clue to their origin. In the absence of a starting point, performance issues are often analyzed randomly: guessing where the problem may be and then changing things until it goes away. While this can deliver results it can also be time-consuming, disruptive, and may ultimately overlook certain issues. This article describes system-performance issues and the methodologies in use today for analyzing them, and it proposes a new methodology for approaching and solving a class of issues.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference18 articles.

1. Allspaw J. 2008. The Art of Capacity Planning. O'Reilly. Allspaw J. 2008. The Art of Capacity Planning. O'Reilly.

2. Cockcroft A. 1995. Sun Performance and Tuning. Prentice Hall. Cockcroft A. 1995. Sun Performance and Tuning. Prentice Hall.

3. Function block diagram; http://en.wikipedia.org/wiki/Function_block_diagram. Function block diagram; http://en.wikipedia.org/wiki/Function_block_diagram.

4. Gregg B. 2009. 7410 hardware update and analyzing the HyperTransport; http://dtrace.org/blogs/brendan/2009/09/22/7410-hardware-update-and-analyzing-thehypertransport/. Gregg B. 2009. 7410 hardware update and analyzing the HyperTransport; http://dtrace.org/blogs/brendan/2009/09/22/7410-hardware-update-and-analyzing-thehypertransport/.

5. Gregg B. 2012. The USE method: Linux performance checklist; http://dtrace.org/blogs/brendan/2012/03/07/the-use-method-linux-performance-checklist/. Gregg B. 2012. The USE method: Linux performance checklist; http://dtrace.org/blogs/brendan/2012/03/07/the-use-method-linux-performance-checklist/.

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