How has a recent deployment affected end users? Find out quickly with Pulse filters

Raygun is happy to announce Pulse filters, an enhanced filtering option for Real User Monitoring. You can now add a selection of filters to your Raygun Pulse data so you can surface the most pertinent information. Sort through data faster and be reassured you are addressing problems affecting your end users as quickly as possible.

Raygun Pulse collects a lot of data about how your application is performing for end users and presents it in your Raygun Pulse Dashboard. Our latest feature, Pulse filters, helps to sort through this data to answer questions like:

• Did the most recent deployment affect our customers in a good way, or in a bad way?
• How is our target audience experiencing our application, and do our enterprise customers consistently have a great experience?
• Why is our user satisfaction score in Raygun Pulse low – could it just be an easy fix?
• Do we have consistent performance across devices?
• I want to give my enterprise customers the best experience possible, but I don’t know which customers are important and which are just noise in my analytics platform. How do I ignore traffic from hackers and bots so I can allocate resources to where they will make the biggest impact to my bottom line?

Take the following example.

You are concerned a recent deployment may have slowed down your website and had a negative impact on end users. Most of your most important customers are based in the USA, and you’d like to make sure your North American customers haven’t been affected negatively.

Head to your Pulse Dashboard and start the filtering process as so.

1. Add the filter for USA and Canada:

The filter has excluded every country other than the USA and Canada inside the Geo tab:

Next, head to the performance tab. In the screenshot below, data has populated the tab and shows the most requested pages:

But we only want to see real users, so next filter out all anonymous users. Filtering anonymous users will show a more accurate data set containing only registered users.

2. Filter anonymous users by selecting the following logic:

3. Isolate the problem page

The Performance tab will populate with the filtered data you need. You were correct – your most recent deployment has had a negative effect on your store page’s <a href="/blog/high number of views, yet has the slowest load time:

4. Drill down into the problem page

Click on the store page to drill down into the performance of the page. The deployment has affected the load time of  the page’s child requests. Now you can allocate developer resources to optimize this page with confidence. Benchmark this number, and see how it improves your overall page load time after the fix:

Need more information on Pulse filters?

Raygun Pulse filters can give you many insights into your customers and how they are using your application.

If you have any questions on the best way to set filters, get in touch with a friendly team member.

Now read:

Raygun’s dashboard feature: how to spot performance problems using data visualization 

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