![sumo timeslice sumo timeslice](https://image.slidesharecdn.com/sumologicquickstarttrainingfeb2016-160211211406/95/sumo-logic-quick-start-feb-2016-32-638.jpg)
Apache response time can be analyzed by adding a D directive to a custom log format. The frustrated queries are everything not captured by these two counters, so count as total_logs gives us everything else we need, assuming our log source only contains access logs. Initializing Apache Access Logs to Collect Response Time. This simply creates a counter for satisfied and tolerating using nested if functions with the matches operator.
#SUMO TIMESLICE CODE#
We use structured logging, so our logs are JSON formatted, but you could do this just as easily via a regex capture on apache style access logs to extract the status code and response time. | ((satisfied +tolerating / 2) /total_logs) as apdex This causes an issue where some sumo logic searches will find and return double (or more) than what is expected due to finding more than one message within the.
#SUMO TIMESLICE UPDATE#
I have logs being pushed to sumo logic once every day, but other co-workers have the ability to force a push to update statistics. Timeslice also supports creating a fixed-target number of buckets, for example, 150 buckets over the last 60 minutes.
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| count as total_logs, sum(satisfied_counter) as satisfied, sum(tolerating_counter) as tolerating by _timeslice Restrict Sumo Logic search to one timeslice bucket. The timeslice operator segregates data by time period, so you can create bucketed results based on a fixed interval (for example, five-minute buckets). Timeslice plots make it easy to see if areas of high activity came to form recognisable patterns. Post processing of the captured GPR data was carried out to identify areas of high activity and the results were presented in a plan format known as timeslice plots. | if(statusCode matches "2*", if(responseTime, 1, 0), 0) as tolerating_counter only include timeslices where the count of 404s is greater than 0 or no results is there is no violation to your where clause. SUMO Geophysics was tasked with completing a High Density GPR Survey. So how can we build this measure in SumoLogic? Let's take a look | json auto field =raw_log The timeslice operator segregates data by time period. 2xx or 3xx status codes.Ī tolerating request is successful in more than T, and less than 4T.įrustrated requests exceed 4T or fail, e.g. A quick reference for Sumo Logic to stick on your desk and a good way to learn the basics about. It divides all served requests into three categories: satisfied, tolerating, and frustrated.Ī user's request is said to be satisfied when it occurs within some T value, such as 400ms, and is successful, e.g.
#SUMO TIMESLICE WINDOWS#
on Windows the lenght of a processor time slice is about 14 ms. Application Performance Index (Apdex) is a standardised method for calculating the perceived satisfaction of a user accessing your service. On most operating systems, you will probably not be able to view the simulation normally ie.