Analytics

Webpages Are Getting Larger Every Year, and Here’s Why it Matters

By Jorge Orpinel in pingdom

November 15, 2018

Balancing a rich experience with page performance is a difficult tradeoff for many publishers. We gathered statistics from the top 1000 websites in the world to see how large their pages are. We’ll look at what’s driving this change and how you can track the size of your own company’s site.

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Get Better Azure Log Analytics with Loggly Insight

By Jennifer Marsh in loggly

August 30, 2018

For any organization running .NET applications, Azure is probably one of the easiest cloud providers to integrate into production deployment and set up staging environments for testing. Azure can be configured directly into Visual Studio, so developers just click a button to deploy updates without someone on the team doing traditional manual file migration. With each resource group you make in Azure, you have the option of creating log files to monitor activity.

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Errors on the world’s top 100 websites and how to avoid them

By Jennifer Marsh in Rollbar

June 12, 2018

Even the most popular sites in the world have errors hidden behind the scenes. If errors happen on these popular sites, it can happen on your company’s website too. We’ll show you the most common errors and how to avoid them.

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Top 10 errors from 1000+ Ruby on Rails projects (and how to avoid them)

By Phil Nash in Rollbar

April 18, 2018

To give back to our community of developers, we looked at our database of thousands of projects and found the top 10 errors in Ruby on Rails projects. We’re going to show you what causes them and how to prevent them from happening. If you avoid these “gotchas,” it’ll make you a better developer.

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Top 10 JavaScript errors from 1000+ projects (and how to avoid them)

By Jason Skowronski in Rollbar

January 24, 2018

To give back to our community of developers, we looked at our database of thousands of projects and found the top 10 errors in JavaScript. We’re going to show you what causes them and how to prevent them from happening. If you avoid these “gotchas,” it’ll make you a better developer.

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What 60,000 Customer Searches Taught Us about Logging in JSON

By Jason Skowronski in Loggly

September 21, 2016

JSON is the most popular log type used by Loggly customers because it makes it relatively easy for you to benefit from Loggly’s automated parsing and analytics; and selfishly, it makes sense as we handle JSON better than anyone else. JSON allows you to treat your logs as a structured database on which you can easily filter and report, even if there are millions of events. The chart below shows the JSON fields on which Loggly customers perform the highest number of searches based on a sample of over 60,000 searches.

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