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Androger is file logger, that shows logged files in GUI interface. Has got support for watching multiple files, and filtering their content.
It's suppose to be fast, simple & robust. Just run it and chose log file to be watched.
This application requires Java 7 or greater to be installed (https://www.java.com/en/download/).
...Also generated results can be validated within the application. Results can be saved to a text file format. It can batch process folders as well. This tool requires Java Run-time Environment 7 or higher to use.
Insight, the analysis TechTool for developers is a platform independent tool for viewing & analying run time meta data of applications. It aids in trouble shooting problems, and aids the developer in every day work through very advanced log analysis.
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Now you don't need to rack your brains with making a regexp to extract necessary rows from log files. Just run that tool and you'll get the right Regular Expression. Image how to extract rows with the time amoung your log?
SAWS is a Secure Audit Service that cryptographically protects all log messages. It can run as either a standalone web service called SAWS (Secure Audit Web Service) or as a Java Secure Audit Trail Service (JSATS) that is called via a Java API.
Cricket Cage automatically creates JUnit TestCases for repeatable bugs and test scenarios. Include Cricket Cage's AspectJ code to install a code generator, then run the program to generate the TestCase. Finally, add the test case to your build.xml.
Log4j is great, but when you run your application over a cluster of machines and transactions have to be merged over mutliple files the mess begins. This log4j-Modules shall solve it by providing an "on demand" cluster consolidation.