This post deconstructs Endeca application scripts and reconstructs them in Java, revealing their inner workings and familiarizing developers with Endeca CAS, RecordStore and EAC API’s. These solutions may be useful to Endeca application developers who need more flexibility and control than that available by default scripts, and those who prefer to work in Java over BeanShell and shell scripts.

Proper care and feeding of your Content Acquisition System generational record store will go a long way towards ensuring satisfactory uptake of your ATG product data into Endeca. This post tells you how to update your CAS record store retention times, change the default maxIdleTime and to safeguard the baseline_Update process. These tips apply to Endeca releases prior to 11.0.

The whitepaper Three Patterns for Integrating WebCenter Sites with Oracle Commerce v 1.1, is now available for download.

Having clean log files are critical. Many modern software solutions are complex, and as that complexity increases, understanding nuances of every integration point and code interaction starts to become impossible. This post discusses the importance of having clean startup logs that are error free. Whether you are running performance tests, regression tests or are a developer working on a new feature the address errors. They matter.

ATG Dust is a Java unit testing framework based on JUnit meant for use with Oracle ATG Commerce. This post explains how ATG Dust works and best practices for using it. By running unit tests through the Dust framework, you are actually starting an instance of Nucleus, and executing your test cases against a running instance of Oracle ATG Commerce.

An overview of TCP/IP tuning. This post lists and describes the common TCP parameters and explains key factors that will affect your buffer needs, and how using jumbo frames can enhance performance. We show you how to set TCP parameters on Windows, Solaris, AIX, Linux and HP-UX, and lists the common parameters on each system.

A large project is defined as having 200,000 assets or more. There are several ways to speed up deployment, i.e. disabling the option to purge deployment data automatically. Note that DAF deployment process data must then be purged manually after this process completes.

Is it possible to insert quality checks into the baseline update procedure? The short answer is yes. This blog will demonstrate a technique using the Endeca CAS API that allows customers to validate data in a Record Store to ensure its quantity/quality before performing a baseline update. This technique holds value for ATG customers who, for example, find incomplete or incorrect catalog data in their MDEX. With a few simple validation rules, you can avoid late detection of issues.

Oracle Commerce Cloud, or OCC, features a robust content management system that is ideal for publishing images and text for enterprise websites. Users can upload images, create and/or import content components for use in promotional items, create widgets and attributes to manage and deploy various digital assets more effectively.

Warming the cache is when we want to preemptively fetch repository items from the database in anticipation of future use. This article address how to warm the cache for optimal web page performance, explaining the following: determining whether warming is really necessary, fixing root cause of latency, limiting warming to active items, item size reduction, avoiding warming items that result in excessive startup delay, among other techniques.