Go Beyond Logs With Integrated Errors & APM Data

Get more insights with integrated logging & code profiling. Troubleshooting application problems is easy when you can correlate all of your data together.

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Go Beyond Logs With Integrated Errors & APM Data

Get more insights with integrated logging & code profiling. Troubleshooting application problems is easy when you can correlate all of your data together.

Start Free Trial

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

Prefix Is Your New Favorite Local Log Viewer

Stackify’s powerful code profiling is the heart of Retrace and Prefix. Our goal is to make it easy for to improve your code’s performance.

Stop sorting through messy log files. Bring all of your logs together to effortlessly locate issues. Explore the context of suspicious logs directly within the request, and jump directly from a log into a trace for effortless debugging.

Structured logging
View logs by request
Web request details
SQL queries
HTTP calls

Explore Prefix

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.

Java

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>

.NET

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>

PHP

Retrace supports PHP logs via Monolog, log4php and Syslog.

View PHP logging documentation

Node.js

Retrace supports Node.js logs via Winston.

View Node.js logging documentation

Ruby

Retrace supports Ruby logs via the Rails logger.

View Ruby logging documentation

Python

View Python Logging documentation.

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

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

What our customers are saying

Retrace’s APM lets us monitor this and focus our development efforts where it matters most.

With redundant monitoring of Azure and Stackify and the really granular early alerts we’ve set up in Stackify, I feel much more confident about finding critical issues before they turn into fires.

Aaron Elder

Co-Founder I Crelate

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 them within Retrace. You can then set up 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.

Works with your stack

Stackify works out of the box with popular programming languages, as well as common frameworks, such as Syslog, Web Server Logs, Windows Events, and more. View our complete list of supported integrations.