pimg src=”http://farm4.static.flickr.com/3635/4557352055_ebe25952e0_o.jpg” alt=”" align=”RIGHT” /Imagine a single search request coursing through Google’s massive infrastructure. A single request can run across thousands of machines and involve hundreds of different subsystems. And oh by the way, you are processing more requests per second than any other system in the world. How do you debug such a system? How do you figure out where the problems are? How do you determine if programmers are coding correctly? How do you keep sensitive data secret and safe? How do ensure products don’t use more resources than they are assigned? How do you store all the data? How do you make use of it?/p
pThat’s where Dapper comes in. Dapper is Google’s tracing system and it was originally created to understand the system behaviour from a search request. Now Google’s production clusters stronggenerate more than 1 terabyte of sampled trace data per day/strong. So how does Dapper do what Dapper does?/p
pa href=”http://feedads.g.doubleclick.net/~a/lJzD9hPMpefbskUj3vrG5OeMKt0/0/da”img src=”http://feedads.g.doubleclick.net/~a/lJzD9hPMpefbskUj3vrG5OeMKt0/0/di” border=”0″ ismap=”true”/img/abr/
a href=”http://feedads.g.doubleclick.net/~a/lJzD9hPMpefbskUj3vrG5OeMKt0/1/da”img src=”http://feedads.g.doubleclick.net/~a/lJzD9hPMpefbskUj3vrG5OeMKt0/1/di” border=”0″ ismap=”true”/img/a/pdiv class=”feedflare”
a href=”http://feeds.feedburner.com/~ff/HighScalability?a=cfYK-JUmu3Q:JZmb0Sie1C4:yIl2AUoC8zA”img src=”http://feeds.feedburner.com/~ff/HighScalability?d=yIl2AUoC8zA” border=”0″/img/a a href=”http://feeds.feedburner.com/~ff/HighScalability?a=cfYK-JUmu3Q:JZmb0Sie1C4:ZMKU6pOd71k”img src=”http://feeds.feedburner.com/~ff/HighScalability?d=ZMKU6pOd71k” border=”0″/img/a
/divimg src=”http://feeds.feedburner.com/~r/HighScalability/~4/cfYK-JUmu3Q” height=”1″ width=”1″/