New Relic

New Relic allows to you monitor, diagnose and tune web applications whether they're written in Ruby, Java, .NET, PHP or Python. This provides you with immediate insight from the end user's behavior, through servers, and down to the line of code.

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Widget Functionality

Our New Relic widget allows you to display:

  • Apdex - Display your current Apdex score. Apdex is a measurement of the customer satisfaction of people hitting your site/app, with a value between 0 and 1. Errors and poor performance lower the score.
  • Application Busy - Display how often your app is busy processing compared to the elapsed time (as a percentage).
  • CPU - Display the percentage of time spent in User space by the CPU as an average of reporting apps (agents).
  • Memory - In MB, display the memory usage by your app.
  • Errors - Display the number of errors per minute (EPM) for your app.
  • Response Time - Display the overall response-time in MS on average across your whole application at the app server layer (not including any browser data).
  • Throughput - Display the total of all activity (in requests per min) across all web transactions of your app.
  • DB - Display the time spent in the database as a percent of the time.
  • Browser Load Time - Display a linechart of browser load time.
  • Highcharts - Embed Highcharts from your New Relic dashboard on Geckoboard.
  • Line Chart - Display all New Relic metrics including types such as ActiveMerchant, ActiveRecord, Agent, Apdex, CPU, Database, Controller, HTTPDispatcher, Instance, Memory, Errors, External service, Remote, Supportability, Elastic Search, Encoder, MemCache, View, End User and Custom metrics as a line chart over time, with an optional comparison with the previous period.
  • Trend Chart - Display all New Relic metrics including type such as ActiveMerchant, ActiveRecord, Agent, Apdex, CPU, Database, Controller, HTTPDispatcher, Instance, Memory, Errors, External service, Remote, Supportability, Elastic Search, Encoder, MemCache, View, End User and Custom metrics as a trend chart over time, with an optional comparison with the previous period.
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Useful Links

Knowledge Base Article 

Screenshots