Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.
Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
Try Retool free
Find Hidden Risks in Windows Task Scheduler
Free diagnostic script reveals configuration issues, error patterns, and security risks. Instant HTML report.
Windows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
LOG4PLSQL is a PLSQL framework for logging in all PLSQL code
this project was born from the log4J spirit (and use it). You have the possibility to log apart from transaction and use all LOG4J feature.
At an early stage of development. Application/middleware usage monitoring/reporting. Focus on business transactions/use cases to help communicate with users. Small footprint, easy to use GUI and a level of statistical analysis to summarise the data.
A log player for "The Fourth Coming" ("T4C", http://www.the4thcoming.com).
Given a log-file, this tool will replay a T4C game you've played before.
It will have built-in functionnalities like : merging log files
together, searching and cleaning
My work as a system administrator and developer includes debugging software. I scan and filter logfiles many times a day. This tool can help you to color and filter your logfiles. So you can concentrate on the interesting things to do!
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.
The ProM Import Framework allows to extract process enactment event logs from a set of information systems. These can be exported in the MXML format, which is the standard event log data format for Process Mining analysis techniques.
The Genalyze log analyzer, a simple yet highly extensible framework for parsing log files, was designed for parsing T-Server log files generated by Genesys contact center software platform, yet is generic and easy enough to adapt for other log formats.
Like Unix-Tail BUT:
- Runs with or without GUI
- Suspend and resume tailing at runtime
- Can monitor a set of Files
- Print output to a textfield, stdout or file
- Runs in "Grep" mode, too (Read files once)
- (Almost) the same options as Unix-Tail
Gruppenarbeit für Unterrichtsfach VSYS (ADV-Böblingen) Ziel dieses Projekts war ein Java RMI-Programm, welches es einem Client ermöglicht Methoden auf einem "entfernten" Server aufzurufen (Projekt allerdings nur local getestet und nicht vollständig
This javaproject goal is to parse text log files of custom types, and send its log events to a syslog server. it use a xml based configuration file. it support user defined severity and facility using java regex. It can be installed as a Windows service
Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
An adaptable, platform-agnostic application incident reporting infrastructure ranging from logging libs and webservice-based reporting to a J2EE logging server to a pluggable connection to issuemanagers.
Peepo is a tool for remote analysis of Apache weblogs in real time. It consists of a server that broadcasts Apache logs via UDP and a desktop application that receives, filters and plots them.
This project provides a couple of Log4j appenders to log into Domino databases from various contexts like servlets, Java clients and, of course Domino Java agents.
Log4Janalyzer is a Log4J socket listener GUI that makes application log tracking simple. It has an intuitive JavaSwing user interface and is designed for Log4j users. It offers some statistics (quite a few, any suggestions?).
Jave logging api for clustered applications. Provides logging at a trasaction level - logging all information or nothing. Please visit http://logbag.com for the project homepage.
A javaSwing application allowing easy reading of log4j like log files via a table GUI.
Provides facilities to ease consolidation of multiple log files (multiple tier for example), and filtering
LogView4J is a JavaSwing Log4J socket listener GUI that makes application debugging simple. It has an intuitive user interface and is designed from the ground up for use of use, speed and stability, with features specifically tailored for Java developer
Tool to convert Common Log Format files to a mysql query. Inverse of mls2clf, which can be found at SF too. The people from http://www.gentoo-forum.nl are running this project, as it was used at first for their site.
This project maintains a Log4j appender to log information into databases via JDBC. It supplies additional features compared to Log4j 1.2 JDBCAppender and Log4j 1.3 DBAppender.
COMPAS J2EE is a non-intrusive performance instrumentation and monitoring toolkit for J2EE.
It uses adaptive monitoring to automatically adjust the target coverage. COMPAS is completely portable across J2EE application servers and OSs.
Lumbermill is a visual log processing and distribution center for Log4j and (in 2.0) java.util.logging (JSR47). It is a Swing/GUI standalone application that supports viewing and archiving of log events.
Have you ever wondered which database indexes you should create for your JDBC-based application ? This Swing-based SQL profiler tries to offer a tool to monitor which tables and columns are accessed the most in SQL queries to recommend index creation