By Samir Bhatt
A sensible educational to benefit the easiest practices for development excessive appearing Liferay-based solutions.
• research most sensible practices for architecting excessive appearing Liferay- established solutions;
• Practices for configuring a load balancer and cluster of Liferay portal;
• locate outKnow the right way to practice load checking out and function tuning job for Liferay- dependent solutions.
Liferay portal is the top horizontal portal product in the market. It used to be named chief in Gartner's Magic Quadrant for Horizontal Portals.
Because of the flexibleness provided via Liferay portal for customizations, it really is changing into a popular most suitable choice for portal implementations. Many influential websites were carried out with or have switched to the Liferay portal. progressively more Liferay builders and designers are wanted within the IT industry.
Liferay Portal functionality top Practices will advisor you to tips to construct excessive acting Liferay-based options. The publication publications you to how to find the structure of Liferay-based ideas to fulfill functionality expectations.
You will how to fine-tune the Liferay portal utilizing configuration alterations or employing definitely the right caching technique. by the point you end this e-book, you are going to observe that you just understand the entire crucial top practices to enhance the functionality of the Liferay portal solution.
The booklet includes of Liferay portal functionality most sensible practices concerning numerous features. It starts off with the structure and layout top practices and ends with functionality tuning and cargo trying out most sensible practices.
The publication follows the logical flow.
In the 1st bankruptcy it talks approximately a variety of architectural techniques and most sensible practices. It additionally talks in regards to the outcomes of assorted architectural strategies. It talks approximately covers tips on how to configure the Liferay portal to paintings in a clustered setting. It discusses many of the thoughts to be had in a cluster configuration.
The ebook extra talks approximately numerous configuration techniques of other parts which are on hand for making improvements to functionality. The booklet additionally talks approximately a variety of improvement top practices. It concludes with top practices concerning load checking out and a functionality tuning exercise.
Liferay Portal functionality most sensible Practices explains functionality top practices with actual examples and samples. by way of the tip of this booklet, the reader can have realized every little thing s/he/she must find out about Liferay portal functionality most sensible practices.
What you'll examine from this book
• Make correct architectural judgements to satisfy functionality requirement;
• enforce software program load balancer utilizing Apache internet Server;
• Configure Liferay portal Cluster;
• Configure Cache Replication utilizing various options;
• enhance functionality through Apache net server configurations;
• Tomcat server configuration most sensible practices to enhance performance;
• track Liferay portal utilizing a variety of configurations settings;
• EHCache dependent cache configurations;
• Terracotta dependent cache implementation;
• examine portal improvement top practices;
• practice load checking out and function tuning workout for Liferay- dependent solutions.
A step by step instructional on enforcing Liferay- established portals to benefit functionality most sensible practices
Read or Download Liferay Portal Performance Best Practices PDF
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Additional resources for Liferay Portal Performance Best Practices
Input to the reduce function is in the same format—a tab-separated key-value pair—passed over standard input. The reduce function reads lines from standard input, which the framework guarantees are sorted by key, and writes its results to standard output. Let’s illustrate this by rewriting our MapReduce program for finding maximum temperatures by year in Streaming. Ruby The map function can be expressed in Ruby as shown in Example 2-8. Example 2-8. = "+9999" && q =~ //) end The program iterates over lines from standard input by executing a block for each line from STDIN (a global constant of type IO).
Running on a 910-node cluster, Hadoop sorted one terabyte in 209 seconds (just under 3½ minutes), beating the previous year’s winner of 297 seconds (described in detail in “TeraByte Sort on Apache Hadoop” on page 461). § As this book was going to press (May 2009), it was announced that a team at Yahoo! used Hadoop to sort one terabyte in 62 seconds. html. † “Yahoo! html. com/2007/11/01/self-service-prorated-super-computing-fun/. html. 10 | Chapter 1: Meet Hadoop Hadoop at Yahoo! Building Internet-scale search engines requires huge amounts of data and therefore large numbers of machines to process it.
Hive A distributed data warehouse. Hive manages data stored in HDFS and provides a query language based on SQL (and which is translated by the runtime engine to MapReduce jobs) for querying the data. Chukwa A distributed data collection and analysis system. Chukwa runs collectors that store data in HDFS, and it uses MapReduce to produce reports. ) Figure 1-1. Hadoop subprojects The Apache Hadoop Project | 13 CHAPTER 2 MapReduce MapReduce is a programming model for data processing. The model is simple, yet not too simple to express useful programs in.
Liferay Portal Performance Best Practices by Samir Bhatt