Syoncloud Logs processes log files from various applications and many servers. It can capture business relevant information from everyday log files generated by Web servers, business applications, and back office applications. It uses Flume sinks that run on the machines that produce log files. This data is filtered and relevant events channeled to HBase. The HBase NoSQL database is used for actual data analysis. The number of HBase nodes depends on the amount of processed log files. Syoncloud Logs has an easy to use installer that includes all necessary components such as Hadoop, Flume, Hbase, and Zookeeper.
OtrosLogViewer (OLV) is software for analyzing an application's logs and stack traces. It loads logs from remote servers using ftp, sftp, ssh, samba and other supported filesystems, listening on a socket, or connection to a Log4j SocketHubAppender. Logs can be gzipped, and OLV will decompress them on the fly. Many log formats are supported (JDK logging, Log4j XML, and custom patterns). OLV allows log highlighting. Automatic log highlighting is based on string matches, regular expressions, or custom Java code. Notes can be added to log events. Display of message details can be customized by message formatters and a colorizer (i.e., formating SOAP request and highlighting XML syntax). OLV can be extended by plugins (filters, log parsers, log event markers, message detail formatters, and colorizers).
Many times, developers (or even, normal users) run into an issue of searching for a resource that is inside a zip. Worse, sometime the resource is inside a zip that is itself inside another zip (i.e. a nested archive). zfind solves this problem. It is very fast and works on most common archive/compress files. It support full name search as well as regular expression search. Apart from command line usage, it also provides API support that lets you use it in your Java code as a 3rd party library.
RMI WebSocket provides a library for remote method invocations between a browser and a Jetty Web Server using the HTML5 WebSocket. The idea is to enable tight method-level integration between the user interface and the server so that patterns such as MVP (Model-View-Presenter) can be applied in a Web environment. The method-level communications between the browser code and the server code allows the developer to think about the Web page and server-side components as objects in a UML world. Details such as the over-the-wire protocols in WebSockets are abstracted away in the process.
BitNami OSClass Stack is an easy-to-install distribution of the OSClass application. It includes pre-configured, ready-to-run versions of Apache, MySQL, PHP, and phpMyAdmin so users can get a OSClass installation up and running in minutes after answering a few questions. Windows, Linux, Linux 64, Mac OS X, and Unix operating systems are supported. OSClass allows you to easily create a classifieds site without any technical knowledge. It provides support for presenting general ads or specialized ads through modules (cars, jobs, real estate, dating, etc), offers many customization options, and is extensible and multilingual.
BitNami Apache Solr Stack is an easy-to-install environment for developing and deploying Java applications. It includes pre-configured, ready-to-run versions of Apache and Java so users can get the environment up and running in minutes after answering a few questions. Windows, Linux, Linux 64, and Mac OS X operating systems are supported. It includes Apache Solr, a fast enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search.
RegressionSuite is a software test suite that incorporates measurements of startup lag and accurate execution times, generating execution statistics, customized input distributions, and processable regression specific details as part of the regular unit tests. It provides a framework around which the individual unit regressors are invoked (and details and statistics collected). Unit regressors are grouped into named regressor sets (or modules), and regressors are created by implementing specific regressor interfaces. These two features make regressors particularly amenable to testing analytics (and other similarly state-light) modules.