Chapter 4. At Scale
Scale invites complexity. Complexity breeds confusion. Confusion, in turn, increases the likelihood of error. Even more mistakes are made under pressure resulting from deadlines, the time-critical nature of the business, or high external visibility. Timely response to production issues becomes more difficult at scale.
Some amount of complexity is unavoidable, so striving for simplicity, while a good thing in itself, is not the same as achieving it. Likewise, working under pressure is not something that will go away anytime soon. When is the right time to expand the team? Then again, the more people on the team, the harder it is to maintain consistency.
Increasing a system’s manageability is a sure way to counter these factors. Rich instrumentation is a necessary yet not sufficient condition. If your system is expanding, this chapter might help you in planning an alerting configuration that scales along with it. If you have already reached the critical mass and monitoring is starting to become increasingly more complicated, this chapter will help you get back on track. It describes best practices for developing managed alerting configurations.
Implications of Scale
Large-scale information systems consist of numerous groups of interconnected computers. Their numbers start in the region of hundreds and go beyond tens of thousands. To improve resilience, availability, and access times, the systems may be distributed in diverse locations across the world. The computers ...
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