The Latest in Performance Monitoring and End-User Experience


Browsing posts written by: Dan Riti

PyPI deployment with Travis CI
February 18, 2016 by

Performance Monitoring

The TraceView team has added the ability to delete applications to our Application Management API, so now users are enabled to programmatically delete and clean up applications in TraceView that are no longer in use. Along with this helpful addition, I’ve just released an updated version of the python-traceview client library, to support this new
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PyCon 2015 Wrap Up
April 15, 2015 by

Industry Insights, Performance Monitoring

The AppNeta team has just returned from a fantastically fun, edifying, and exhausting weekend at PyCon 2015. PyCon was held in Montreal this year, giving team members the opportunity to brush up on their French, binge on poutine, and absorb the many fabulous talks given by this year’s speakers (including our very own development manager,
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Slow Your Role: ChatOps Access Control
August 20, 2014 by

Performance Monitoring

ChatOps is a growing trend in the DevOps world, where one can monitor and control infrastructure and operations from the convenience of a chat room. From building Jenkins jobs to executing Fabric tasks, the possibilities are endless thanks to Hubot and it’s constantly growing script ecosystem. One of the controversial tenets of ChatOps is the
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Faking the Funk: Mocking External Services in Python Tests
July 25, 2014 by

Performance Monitoring

In this day and age, it’s difficult to build an application that does not rely on some type of external service. Whether the service is handling user identity, analyzing interesting data, or hurling RESTful insults, you have to accept the fact that you now have a dependency on something you do not control. One place
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python-traceview: A Library for the TraceView API
June 18, 2014 by

Performance Monitoring

Not too long ago, we introduced the TraceView Data API, which exposes high level metrics and performance data related to your TraceView account via a RESTful API. For the unfamiliar, this means you can access server latency timeseries, application error rates, and even browsers used by end users. In an effort to make accessing the
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Heroku Deployment Hook
February 27, 2014 by

Performance Monitoring

To help understand the correlation between system events and performance trends, TraceView provides the ability to log arbitrary events using it’s Annotations API. In this tutorial, we will demonstrate how we can leverage Heroku’s Deploy Hooks add-on to automatically log deployment annotations in TraceView every time you push new code to Heroku.

Pageguide x Bower
January 22, 2014 by

Performance Monitoring

What happens when you take Pageguide, our open source interactive visual guide to elements on web pages and combine it with Bower, a package manager for the web? Oh yeah! For the unfamiliar, Bower is a package manager for client-side libraries, assets, and frameworks. Bower isn’t just for JavaScript libraries, but you can also find
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TraceView Beta on Heroku
January 8, 2014 by

Company News

AppNeta is proud to announce that TraceView is now available as a Beta add-on for the Heroku platform! You can now get TraceView’s distributed application tracing and full stack performance insight with your Ruby applications on Heroku. Setting up your application to use the TraceView add-on is easy. Just check out the instructions on the
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Hold the Line: Line Profiling in Python
January 6, 2014 by

Performance Monitoring

If you’ve ever profiled code in Python, you’ve probably used the cProfile module. While the cProfile module is quite powerful, I find it involves a lot of boilerplate code to get it setup and configured before you can get useful information out of it. Being a fan of the KISS principle, I want an easy
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The Right Stuff: Breaking the PageSpeed Barrier with Bootstrap
November 18, 2013 by

Performance Monitoring

I recently had the pleasure to listen to Ilya Grigorik give a talk at Velocity in NYC on Breaking the 1000ms Mobile Barrier. During the talk, Ilya used PageSpeed Insights to demonstrate that several high profile websites had overlooked some very simple and common optimizations and resulted in poor PageSpeed scores. For the unfamiliar, Pagespeed
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