Why You Should Not Rely on StatsD for Monitoring or Optimizing Response Time
In my blog post last week, I outlined the difficulties and importance of accurately measuring and reporting response times, as they are critical for ensuring customer happiness. This week, I will be taking a look (and a rant) at StatsD, a commonly used tool for systems monitoring. As a brief refresher, measuring and collecting response times can result in a huge number of metrics. A system that sees 70k RPS (requests per second) generates over 4 million response time measurements every hour. Statistical analysis is required to visualize or summarize these measurements, which inherently introduces a measure of subjectivity. Depending […]