Why use statsd when graphite’s Carbon aggregator can do the same job?

StatsD operates over UDP, which removes the risk of carbon-aggregator.py being slow to respond and introducing latency in your application. In other words, loose coupling. StatsD supports sampling of inbound metrics, which is useful when you don’t want your aggregator to take 100% of all data points to compute descriptive statistics. For high-volume code sections, … Read more

Calculate code metrics [closed]

On my latest project I used SourceMonitor. It’s a nice free tool for code metrics analysis. Here is an excerpt from SourceMonitor official site: Collects metrics in a fast, single pass through source files. Measures metrics for source code written in C++, C, C#, VB.NET, Java, Delphi, Visual Basic (VB6) or HTML. Includes method and … Read more

What is the mAP metric and how is it calculated? [closed]

Quotes are from the above mentioned Zisserman paper – 4.2 Evaluation of Results (Page 11): First an “overlap criterion” is defined as an intersection-over-union greater than 0.5. (e.g. if a predicted box satisfies this criterion with respect to a ground-truth box, it is considered a detection). Then a matching is made between the GT boxes … Read more

What are the best Haskell libraries to operationalize a program? [closed]

This is a great question! Here’s a first cut. Be able to log at multiple levels (ex: debug, warning, etc.). hslogger is easily the most popular logging framework. Be able to collect and share metrics/statistics about the types of work the program is doing and how long that work is taking. Ideally, the collected metrics … Read more

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