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Browsing posts tagged with: application performance

Internet Slowdown Day: Too Painful to be Real?
September 11, 2014 by

Industry Insights

Yesterday was Go Slow Day on the Internet. As lawmakers consider the latest arguments on how much control ISPs should be allowed to exert over the networks that support the wider internet, websites like Reddit, Etsy, and Vimeo are staging a protest. Yesterday, they committed to slowing down their main sites, giving users a glimpse
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Down for Everybody? Wednesday’s Fantasy Football Draft
August 29, 2014 by

Performance Monitoring

Here at AppNeta we have a tradition of creating a Fantasy Football league every year.  Each year we decide who the commissioner is and then we start the grueling process of selecting draft order, league rules, team names, date of draft and most importantly selecting the platform to draft on.  Our league consists of members
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Full Stack Load Testing in Boston
August 28, 2014 by

Performance Monitoring

We had a great turn-out last night at the Boston Web Performance Meetup, where we talked about full stack load testing. Performance testing is funny, because unlike a lot of correctness testing, it frequently relies on having a full replica of production, with production level data, servers, and more. The inspiration for this talk was
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S3 PUT Slowdown and Internal Timeouts
August 20, 2014 by

Performance Monitoring

Last night, the TraceView processing timeline experienced a minor disruption, resulting in slightly slower processing times for some customers. By and large, this issue wasn’t noticeable in any of the dashboards, and no data was lost. The incident did, however, give us an interesting look into how Amazon handles S3 load issues from a performance
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Measuring Your Web App Performance with Apache Bench
August 4, 2014 by

Performance Monitoring

When you are being tasked to find and fix those pesky slow pages in your web app, you might have hard time finding where to start. Identifying top performance bottlenecks is always difficult, since there are many factors that lead to slow server response time : slow application logic, poorly indexed database queries, a myriad
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Announcing the node.js Beta. Free Monitoring!
August 1, 2014 by

Performance Monitoring

Looking to get insight into the performance and scalability of node.js-based applications? TraceView is introducing node.js support with an early access beta program, and you’re invited to sign up! The beta is invitation-based, so you’ll need to fill out our beta questionnaire to get involved. When selected, we’ll give you free monitoring in exchange for
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How Do You Monitor a SaaS Application like Salesforce?
June 24, 2014 by

Performance Monitoring

Only two years ago, the average company adopting SaaS applications was a 50-person company, mainly because smaller companies were inclined to not invest in on-premise solutions. Since then, there’s been a shift and SaaS has become the standard for any company implementing business applications or services. Even the largest companies in the world are now
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PSR-3: Why Drupal’s Doggone Watchdog Is Gone
June 9, 2014 by

Performance Monitoring

watchdog() provides Drupal’s out-of-the-box logging capabilities. Despite a reputation for a “learning cliff”, it’s much simpler to deal with logs in Drupal than in many other systems. Instead of dealing with confusing log files, site builders can visit the system log page in the GUI and look at neatly formatted table of error types, severities, and
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The Many Faces of eCommerce: A Comparison
April 10, 2014 by

Performance Monitoring

As software continues to eat the world, ecommerce is starting to reflect the diversity of, well, commerce. But this growing market is also growing more competitive, so there’s a lot of interest in technologies that can help push businesses past razor-thin margins and into profitability. It’s great that “faster sites convert better” has become common
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Getting Started with .NET Framework Profiling
March 27, 2014 by

Performance Monitoring

Usually when developers talk about profiling, they mean running code they wrote in some sort of development environment to get better understanding of its performance. That’s the valid use case, but what happens when code is released in the wild? Your customers will run it in configurations you wouldn’t imagine, the data can be differently
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