Last updated at Mon, 06 Nov 2017 21:05:25 GMT
July Walkthrough Webinar was broadcasted & recorded on July 14th 2016. This broadcast included a Logentries demonstration and live Q&A.
Below is a sample of some of the questions asked by the audience following the demonstration. To try out the features mentioned below sign up for a Logentries free trial.
- “Is there a way to aggregate or process numerical data found in the logs?”
The Logentries Query Language (LEQL) has many analytic functions, such as: Median, Min, Max, Count, Unique, Sum, Average, Percentile() and many others! To learn more about this robust and easy to use query language see the video below:
- “Can I filter the log data on a specific key I send in my logs?”
Yes! LEQL allows you to specify a key or keys and search for values associated with those keys. Beyond a standard
=operator, you can also use comparison operators such as
!=The brief demo below shows a basic search using a key value pair.
You can also simply search for the desired value, as shown below.
For more information see our search documentation.
- “When I am using multiple log sources, how can I see them all at the same time?”
It is easy to view multiple (or even all) of your logs in a single view in Logentries. The logs viewed in aggregate can include logs from different sources and be structured in different formats. Use the log selector located on the left side of the screen to check the boxes next to the logs you would like to add to your view. When multiple logs are selected you can determine the source of a log be viewing the declaration at the end of each event. See the video below.
- “What is the suggested format for log data?”
Logentries can visualize, search and alert on log data in any text format. Sending log data in a format supported by Logentries automated log parsing will allow you to take advantage of additional features such as query autocomplete, JSON expansion and table view. Logentries automatically parses JSON data and other key value pair data. As well as data sent from Apache, NGINX, and syslog. For more information about structuring your log data, see the webinar recording below.
- “We’re interested in using the REST Query API for analyzing our log data. Could you talk about that in a nutshell?”
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