Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Java EE 8 High Performance

You're reading from   Java EE 8 High Performance Master techniques such as memory optimization, caching, concurrency, and multithreading to achieve maximum performance from your enterprise applications.

Arrow left icon
Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788473064
Length 350 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Romain Manni-Bucau Romain Manni-Bucau
Author Profile Icon Romain Manni-Bucau
Romain Manni-Bucau
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. Money – The Quote Manager Application FREE CHAPTER 2. Looking Under the Cover – What is This EE Thing? 3. Monitor Your Application 4. Application Optimization – Memory Management and Server Configuration 5. Scale Up – Threading and Implications 6. Be Lazy; Cache Your Data 7. Be Fault-Tolerant 8. Loggers and Performances – A Trade-Off 9. Benchmarking Your Application 10. Continuous Performance Evaluation 1. Another Book You May Enjoy Index

Benchmark iterations


In the previous section, we prepared all we needed to start a benchmark in an efficient way. Now we need to see how we will work during the benchmark.

The first important thing is to establish that we only deal with optimization iterations here and not evaluation ones, which are straightforward—you run the scenarios and gather the reports.

Iterating

It is probably natural, but you will iterate with your optimizations. This means that you will run the same test again and again to measure the result of a change—for instance, increasing the pool size.

The direct implication of such a work structure is that you need to prepare yourself to store lots of reports in an organized way. There are many solutions for that and it mainly depends on the tools you are used to relying on. But at a very high level, you need to, at least, store:

  • The benchmark report.
  • The benchmark date (to be able to sort them, it is often useful to replay the iterations done afterwards).
  • The benchmark configuration...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime
Visually different images