Saved Charts

By Andre Bullet_white Posted in Features Bullet_white Comments Comments

We heard your feedback. You can now save charts in any configuration, and return to saved charts easier. It’s simple:

What can you use saved charts for? Just a few ideas:

You can create any number of saved charts. This feature is available for all account levels.

As always, let us know if you have feedback or suggestions!

 

Is your Rails app under-provisioned?

By Derek Bullet_white Posted in HowTo Bullet_white Comments Comments

You maintain a growing Rails application and you’re seeing something peculiar. Sometimes when you use the application, it feels like the performance deteriorates significantly. However, all of your performance data shows no issues – requests in the Rails log file look speedy, CPU utilization is fine, database performance is solid, etc.

At first, you wave it off as a fluke. But then a customer reports the same issue. Now you’re concerned.

Read More →

 

Monitoring Apache Request Processing Time

By Derek Bullet_white Posted in Plugins Bullet_white Comments Comments

With a little help from the excellent Request Log Analyzer gem, created by those smart folks at RailsDoctors, the Apache Log Analyzer plugin now tracks the duration of Apache requests.

Upgrading & Install

If you already have the Apache Log Analyzer plugin installed, you’ll need to upgrade to the latest version. Just click the “Update Code” button when viewing the plugin code at scoutapp.com to grab the latest.

If you’re new to Scout, signup for our free 30-day trial and simply point-and-click to install the plugin.

Wait! One more thing…

By default, the Apache access log does not contain the request duration. It’s straight-forward process to add duration tracking – follow our help entry.

 

Monitoring a Log File

By Derek Bullet_white Posted in Plugins Bullet_white Comments Comments

A log file is a lot like a neglected board game covered in dust. I don’t play board games that often, but when I do, I always say “we should do this more often”. The log files we have for Scout collect lots of great information, but we only reference them when investigating an incident. They often aren’t a part of our daily lives (but they should be).

Yaroslav Lazor of Railsware, an agile Ruby on Rails development firm, has created a Scout plugin that makes it easy to extract basic information from a log file on a regular basis. His Log Watcher plugin, brilliant in its simplicity, counts the number of occurrences of a given pattern in a file, reporting the data to Scout.

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Memcached Monitoring

By Andre Bullet_white Posted in Plugins Bullet_white Comments Comments

Jesse Newland of Rails Machine has created a Memcached monitor plugin to track all the key stats from your Memcached instance, including gets/ sets/ hits/ misses/ evictions/ per second, uptime, memory used, KB read per second, KB written per second, and more.

Install the Memcached plugin from our directory, and enjoy! Let us know if you have any feedback.

 

Why web developers have more to learn from Wall Street than Steve Jobs

By Derek Bullet_white Posted in Business Bullet_white Comments Comments

In 2006, the biggest risk-taker on Wall Street looked like John Paulson. This certainly wasn’t based on Paulson’s past behavior. Paulson managed a middle-of-the pack hedge fund. He made careful, boring deals. He rode the bus and liked to ride his bicycle. In other words, he was the anti-Gordon Gekko.

The risk Paulson was taking? He was betting against the mortgage market using credit default swaps. Insuring $1 million in high-risk mortgages was dirt cheap – around $10,000. If all of the homeowners made their payments, Paulson would be out $10,000. If all of the homeowners defaulted, he would make the entire value of the bundle – $1 million.

For Paulson to make money, these high-risk borrowers needed to default. At the time, most analysts thought that a perfect storm of rising unemployment rates, higher interest rates, and poor local economic health was needed to trigger widespread defaults. However, Paulson’s extensive modeling showed widespread defaults required just one trigger: flatlining home prices. With home appreciation rising at 5 times the rate seen from 1975-2000, there was plenty of room to fall back.

Read More →

 

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