Centralized Logging
Access all of your application logs from a single place across all applications and servers
Integrated Errors + Logs
Get the full context about errors that show up in your logs
Structured Logging
Make your logging smarter by logging objects and searchable properties
Going Beyond Logs: Correlating Logs, Errors & APM Data
Troubleshooting application problems is easy when you can correlate all of your data together!
Go from a Log Statement to Full Transaction Trace
Retrace integrates log management with its APM code profiling functionality.
- Get incredibly detailed transaction traces for your applications.
- The traces includes log statement, errors, SQL queries executed, external HTTP web service calls.
Get More Intelligence About the Errors in Your Logs
Get all the details you wish your logs had with no code changes. Retrace automatically collects the details you need to quickly troubleshoot application errors.
- Web request details
- Full stack trace
- Related log messages
Shipping Your Logs to Retrace is Easy
Retrace supports common logging frameworks for most programming languages. A simple configuration change is all that is needed.
- Programming language specific libraries
- Web server logs
- Syslog
- Windows Events
Logging libraries for many other languages are also supported in addition to our REST API.
Retrace supports Java logs via logback, log4j, or our Java SDK.
Example configuration for log4j:
<appender name="Stackify" class="com.stackify.log.log4j12.StackifyLogAppender"> <param name="apiKey" value="YOUR_ACTIVATION_KEY"/> </appender> <root> <appender-ref ref="Stackify" /> </root>
Retrace supports .NET logs via log4net, NLog, Serilog, or our .NET SDK.
Example configuration for log4net:
<log4net> <root> <level value="DEBUG" /> <appender-ref ref="StackifyAppender" /> </root> <appender name="StackifyAppender" type="StackifyLib.log4net.StackifyAppender, StackifyLib.log4net" /> </log4net>
Retrace supports PHP logs via Monolog, log4php and Syslog.
Retrace supports Node.js logs via Winston.
Retrace supports Ruby logs via the Rails logger.
Top Centralized Logging Features
Advanced Searching and Filtering
Full text searching is available for your log messages as well as filtering on any fields captured. Several quick filters are easily accessible for things like app name, environment, server name, log type, and log levels.
Enhanced Log Viewing
Perhaps the most low tech feature, but one of the most helpful.
- JSON viewer
- Colored log levels & #tags
- View related log messages
Real-time Log Tailing
Trying to troubleshoot something in production? Use Retrace to search and filter for exactly what you are looking for and then turn on tailing mode. The log viewer will automatically update with new logs.
Structured Logging
Go beyond saving a basic log message to separating out key data, in a structured way, that can be useful for searching and log analysis. It doesn’t really take any more time to do and can enable an amazing amount of functionality from your log data.
Log.Debug("Test model object", new {test=”Hello World”, testInt=100, testBool = true});
Use Tagging in Your Logs #awesomesauce
All you have to do is put a # in your logs and Retrace will take care of the rest.
- Highlighted in the log viewer
- Search by tags
- Organize your logs
View Where Your Logs Came from in Your Code
Some logging frameworks can track and report where the log messages originated from in your code. Being able to track where your logs come from can be very valuable for tracking down bugs.
Explore All of Your Logging Fields
Retrace has many built-in fields for basic server info, errors, web logs, and Windows events. The field explorer makes it easy to see all the fields that exist and add them to log viewer for display.
Get Analytics from Your Logs
For every field you can track every how often specific values are being logged. This is especially useful for a simple example like a type of error.
Monitor Your Logs
Search your logs for exactly what you are trying to find and save it within Retrace. You can then setup a monitor to run this query every few minutes and alert you if it finds a certain amount of results.
If your app logs a certain message that is really important for you to be aware of, this is an invaluable feature!
