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Overview
If you aren’t already collecting logs with Datadog, see the Logs documentation to set up logs. Ensure that the source tag (specifying language) is properly configured. Datadog recommends setting up Agent-based log collection.
Setup
For languages such as Python, Java, and Ruby, no additional configuration is needed if the source tag in your logs is configured correctly. All required attributes are automatically tagged and sent to Datadog.
For backend languages such as C#, .NET, Go, and Node.js, the code examples in each section demonstrate how to properly configure an error log and attach the required stack trace in the log’s error.stack.
If you are already sending stack traces to Datadog but they are not in error.stack, you can set up a generic log remapper to remap the stack trace to the correct attribute in Datadog.
To configure inline code snippets in issues, set up the source code integration. Adding code snippets in Error Tracking for Logs does not require APM; the enrichment tags and linked repository is the same for both.
Attributes for Error Tracking
To enable Error Tracking, logs must include the following attributes:
- Either an
error.kind or error.stack field. Note: if using error.stack, it must be a valid stack trace. - A
Service attribute - A status level of
ERROR, CRITICAL, ALERT, or EMERGENCY.
The remaining attributes listed below are optional, but their presence improves error grouping.
Specific attributes have a dedicated UI display within Datadog. To enable these functionalities for Error Tracking, use the following attribute names:
| Attribute | Description |
|---|
error.stack | Actual stack trace |
error.message | Error message contained in the stack trace |
error.kind | The type or “kind” of an error (for example, “Exception”, or “OSError”) |
Note: By default, integration Pipelines attempt to remap default logging library parameters to those specific attributes and parse stack traces or traceback to automatically extract the error.message and error.kind.
For more information, see the complete source code attributes documentation.
C# and .NET
If you have not set up log collection for C#, see the C# Log Collection documentation.
To log a caught exception yourself, you may optionally use:
var log = new LoggerConfiguration()
.WriteTo.File(new JsonFormatter(renderMessage: true), "log.json")
.Enrich.WithExceptionDetails()
.CreateLogger();
try {
// …
} catch (Exception ex) {
// pass exception as first argument of log call
log.Error(ex, "an exception occurred");
}
If you have not set up log collection for C#, see the C# Log Collection documentation.
To log a caught exception yourself, you may optionally use:
private static Logger log = LogManager.GetCurrentClassLogger();
static void Main(string[] args)
{
try {
// …
} catch (Exception ex) {
// pass exception as second argument of log call
log.ErrorException("an exception occurred", ex);
}
}
If you have not set up log collection for C#, see the C# Log Collection documentation.
To log a caught exception yourself, you may optionally use:
class Program
{
private static ILog logger = LogManager.GetLogger(typeof(Program));
static void Main(string[] args)
{
try {
// …
} catch (Exception ex) {
// pass exception as second argument of log call
log.Error("an exception occurred", ex);
}
}
}
Go
Logrus
If you have not set up log collection for Go, see the Go Log Collection documentation.
To log a caught exception yourself, you may optionally use:
// for https://github.com/pkg/errors
type stackTracer interface {
StackTrace() errors.StackTrace
}
type errorField struct {
Kind string `json:"kind"`
Stack string `json:"stack"`
Message string `json:"message"`
}
func ErrorField(err error) errorField {
var stack string
if serr, ok := err.(stackTracer); ok {
st := serr.StackTrace()
stack = fmt.Sprintf("%+v", st)
if len(stack) > 0 && stack[0] == '\n' {
stack = stack[1:]
}
}
return errorField{
Kind: reflect.TypeOf(err).String(),
Stack: stack,
Message: err.Error(),
}
}
log.WithFields(log.Fields{
"error": ErrorField(err)
}).Error("an exception occurred")
Java (parsed)
If you have not set up log collection for Java, see the Java Log Collection documentation. Ensure your logs are tagged with source:java.
To log a caught exception yourself, you may optionally use:
Logger logger = LogManager.getLogger("HelloWorld");
try {
// …
} catch (Exception e) {
// pass exception as last argument of log call
logger.error("an exception occurred", e)
}
To log a caught exception yourself, you may optionally use:
Logger logger = LoggerFactory.getLogger(NameOfTheClass.class);
try {
// …
} catch (Exception e) {
// pass exception as last argument of log call
logger.error("an exception occurred", e)
}
Node.js
Winston (JSON)
If you have not set up log collection for Node.js, see the Node.js Log Collection documentation.
To log a caught exception yourself, you may optionally use:
try {
// …
} catch (e) {
logger.error("an exception occurred", {
error: {
message: e.message,
stack: e.stack
}
});
}
PHP
Monolog (JSON)
If you have not set up log collection for PHP, see the PHP Log Collection documentation.
To log a caught exception yourself, you may optionally use:
try {
// ...
} catch (\Exception $e) {
$logger->error('An error occurred', [
'error.message' => $e->getMessage(),
'error.kind' => get_class($e),
'error.stack' => $e->getTraceAsString(),
]);
}
Python
Logging
If you have not setup log collection for Python, see the Python Log Collection documentation. Ensure your logs are tagged with source:python.
To log a caught exception yourself, you may optionally use:
try:
// …
except:
logging.exception('an exception occurred')
Ruby on Rails
If you have not set up log collection for Ruby on Rails, see the Ruby on Rails Log Collection documentation.
To manually log an error, create a formatter using JSON and map the exception values to the correct fields:
require 'json'
require 'logger'
class JsonWithErrorFieldFormatter < ::Logger::Formatter
def call(severity, datetime, progname, message)
log = {
timestamp: "#{datetime.to_s}",
level: severity,
}
if message.is_a?(Hash)
log = log.merge(message)
elsif message.is_a?(Exception)
log['message'] = message.inspect
log['error'] = {
kind: message.class,
message: message.message,
stack: message.backtrace.join("\n"),
}
else
log['message'] = message.is_a?(String) ? message : message.inspect
end
JSON.dump(log) + "\n"
end
end
And use it in your logger:
logger = Logger.new(STDOUT)
logger.formatter = JsonWithErrorFieldFormatter.new
If you use Lograge, you can also set it up to send formatted error logs:
Rails.application.configure do
jsonLogger = Logger.new(STDOUT) # STDOUT or file depending on your agent configuration
jsonLogger.formatter = JsonWithErrorFieldFormatter.new
# Replacing Rails default TaggedLogging logger with a new one with the json formatter.
# TaggedLogging is incompatible with more complex json format messages
config.logger = jsonLogger
# Lograge config
config.lograge.enabled = true
config.lograge.formatter = Lograge::Formatters::Raw.new
# Disables log coloration
config.colorize_logging = false
# Configure logging of exceptions to the correct fields
config.lograge.custom_options = lambda do |event|
if event.payload[:exception_object]
return {
level: 'ERROR',
message: event.payload[:exception_object].inspect,
error: {
kind: event.payload[:exception_object].class,
message: event.payload[:exception_object].message,
stack: event.payload[:exception_object].backtrace.join("\n")
}
}
end
end
end
Further Reading
