30 min listen
Episode 13. Optimizing for Performance
FromJava Pub House
ratings:
Length:
44 minutes
Released:
Jan 15, 2012
Format:
Podcast episode
Description
We all love speed, code speed that is! In this podcast we delve into code optimizations, and what does it mean to optimize for speed. We go over what is the mind-state that you need as you optimize code and offer sneaky shortcuts that allows 10-fold improvement with very little code change (Caching, or pregenerating, or timed-updates). More importantly we go over the process on defining when you have "arrived" at a good optimization point, and hopefully help you optimize what is really important (measuring for performance). If you need to scale up/out and around, listen to this episode!
If you feel you would like to share your optimization experience, go to https://groups.google.com/group/javapubhouse, and post!
Questions, feedback or comments! comments@javapubhouse.com
Subscribe to our podcast! (http://javapubhouse.libsyn.com/rss) ITunes link (http://itunes.apple.com/us/podcast/java-pub-house/id467641329) Java 7 Recipes book! (http://www.amazon.com/Java-7-Recipes-Problem-Solution-Approach/dp/1430240563)
If you feel you would like to share your optimization experience, go to https://groups.google.com/group/javapubhouse, and post!
Questions, feedback or comments! comments@javapubhouse.com
Subscribe to our podcast! (http://javapubhouse.libsyn.com/rss) ITunes link (http://itunes.apple.com/us/podcast/java-pub-house/id467641329) Java 7 Recipes book! (http://www.amazon.com/Java-7-Recipes-Problem-Solution-Approach/dp/1430240563)
Released:
Jan 15, 2012
Format:
Podcast episode
Titles in the series (100)
Episode 3. Memory leaks, memory references and garbage collections!: This episode goes deep into memory in Java, understanding how memory leaks happen (and how to solve them!), also how to design to avoid memory leaks, weak and soft references, and how the Garbage collector works (Eden, Tenured, Perm). This podcast... by Java Pub House