sadikovi

#!/bin/bash

# Usage: ./gen.sh collected-stacks.txt

TMPSTACKS=/tmp/flamegraph-stacks-collapsed.txt
TMPPALETTE=/tmp/flamegraph-palette.map

./stackcollapse-jstack.pl $1 > $TMPSTACKS

# 1st run - hot: default

sadikovi

##Google Interview Questions: Product Marketing Manager

• Why do you want to join Google? -- Because I want to create tools for others to learn, for free. I didn't have a lot of money when growing up so I didn't get access to the same books, computers and resources that others had which caused money, I want to help ensure that others can learn on the same playing field regardless of their families wealth status or location.
• What do you know about Google’s product and technology? -- A lot actually, I am a beta tester for numerous products, I use most of the Google tools such as: Search, Gmaill, Drive, Reader, Calendar, G+, YouTube, Web Master Tools, Keyword tools, Analytics etc.
• If you are Product Manager for Google’s Adwords, how do you plan to market this?
• What would you say during an AdWords or AdSense product seminar?
• Who are Google’s competitors, and how does Google compete with them? -- Google competes on numerous fields: --- Search: Baidu, Bing, Duck Duck Go

sadikovi

Generating Flame Graphs for Apache Spark

Flame graphs are a nifty debugging tool to determine where CPU time is being spent. Using the Java Flight recorder, you can do this for Java processes without adding significant runtime overhead.

When are flame graphs useful?

Shivaram Venkataraman and I have found these flame recordings to be useful for diagnosing coarse-grained performance problems. We started using them at the suggestion of Josh Rosen, who quickly made one for the Spark scheduler when we were talking to him about why the scheduler caps out at a throughput of a few thousand tasks per second. Josh generated a graph similar to the one below, which illustrates that a significant amount of time is spent in serialization (if you click in the top right hand corner and search for "serialize", you can see that 78.6% of the sampled CPU time was spent in serialization). We used this insight to spee

sadikovi

//
// SVG — hasClass, addClass, removeClass, toggleClass
//  Source:
//   https://gist.github.com/branneman/8436956
//  Taken and adapted from:
//   http://toddmotto.com/hacking-svg-traversing-with-ease-addclass-removeclass-toggleclass-functions/
//

if (SVGElement && SVGElement.prototype) {