This comparison evaluates eight distinct logging solutions ranging from low-level debug utilities to full-featured logging frameworks and specialized HTTP middleware. debug serves as a lightweight toggle for development traces, while morgan focuses exclusively on HTTP request logging in Node.js servers. loglevel offers a minimal, framework-agnostic wrapper for the console. On the enterprise side, winston and log4js provide highly configurable, transport-rich ecosystems for complex applications. pino and bunyan specialize in high-performance, structured JSON logging optimized for production observability pipelines. Finally, loggly-jslogger acts as a dedicated client for shipping logs directly to the Loggly cloud service. Understanding the trade-offs between performance, structure, and configurability is critical for selecting the right tool for your architecture.
Logging is often treated as an afterthought until production issues arise. In reality, your logging strategy defines your observability ceiling. The JavaScript ecosystem offers a wide spectrum of tools, from simple console wrappers to high-performance JSON engines. This analysis breaks down eight prominent packagesโbunyan, debug, log4js, loggly-jslogger, loglevel, morgan, pino, and winstonโto help you make an informed architectural decision.
The biggest divide in modern logging is between human-readable text and machine-parseable JSON. Production systems increasingly demand structured logs (JSON) so aggregators like Splunk, Datadog, or ELK can index fields automatically.
pino and bunyan are built from the ground up for structured JSON logging. They enforce a schema where every log line is a valid JSON object.
// pino: Fast, structured JSON by default
const pino = require('pino');
const logger = pino();
logger.info({ userId: 123, action: 'login' }, 'User logged in');
// Output: {"level":30,"time":1678888888888,"pid":1234,"hostname":"local","userId":123,"action":"login","msg":"User logged in"}
// bunyan: Structured JSON with explicit stream setup
const bunyan = require('bunyan');
const logger = bunyan.createLogger({ name: 'my-app' });
logger.info({ userId: 123, action: 'login' }, 'User logged in');
// Output: {"name":"my-app","hostname":"local","pid":1234,"level":30,"msg":"User logged in","time":"2023-03-15T12:00:00.000Z","v":0}
winston and log4js offer hybrid approaches. They can output text for development and JSON for production, depending on how you configure their "formats" or "layouts."
// winston: Configurable format (text or JSON)
const winston = require('winston');
const logger = winston.createLogger({
format: winston.format.json(),
transports: [new winston.transports.Console()]
});
logger.info('User logged in', { userId: 123, action: 'login' });
// Output: {"level":"info","message":"User logged in","userId":123,"action":"login"}
// log4js: Configurable layout via patterns or JSON
const log4js = require('log4js');
log4js.configure({
appenders: { out: { type: 'stdout', layout: { type: 'json' } } },
categories: { default: { appenders: ['out'], level: 'info' } }
});
const logger = log4js.getLogger();
logger.info('User logged in', { userId: 123, action: 'login' });
// Output: {"startTime":"...","category":"default","level":"INFO","data":["User logged in",{"userId":123,"action":"login"}]}
debug and loglevel prioritize human readability and developer experience over structure. They output plain text to the console.
// debug: Simple namespaced text output
const debug = require('debug')('app:auth');
debug('User %s logged in', 'alice');
// Output: app:auth User alice logged in
// loglevel: Standard console methods with level control
const log = require('loglevel');
log.setLevel('info');
log.info('User logged in', { userId: 123 });
// Output: INFO User logged in { userId: 123 } (Browser console styling applied)
morgan is specialized for HTTP access logs, typically outputting text strings based on tokens, though it can be customized.
// morgan: HTTP request logging string format
const morgan = require('morgan');
// Logs: "GET /api/users 200 15.432 ms"
app.use(morgan('combined'));
loggly-jslogger sends data directly to a cloud service, abstracting the output format until it reaches the dashboard.
// loggly-jslogger: Direct cloud submission
const Loggly = require('loggly-jslogger');
const logger = Loggly.createLogger({ token: 'YOUR_TOKEN' });
logger.report('User logged in', { userId: 123 });
// No local output; data sent to Loggly servers
In high-traffic Node.js services, logging can become a bottleneck. Synchronous operations or heavy string formatting can block the event loop.
pino is architected for extreme speed. It minimizes object copying and uses a dedicated worker thread (in newer versions) or highly optimized synchronous JSON serialization to avoid blocking the main thread.
// pino: Optimized for low latency
const pino = require('pino');
const logger = pino({ level: 'info' });
// Designed to be the fastest JSON logger in Node.js
logger.info('Fast operation complete');
bunyan is performant but generally slower than pino due to older architectural decisions regarding stream handling and safety checks.
// bunyan: Solid performance but heavier than pino
const bunyan = require('bunyan');
const logger = bunyan.createLogger({ name: 'service' });
logger.info('Operation complete');
winston and log4js carry more overhead due to their flexibility. They often perform multiple string interpolations and format transformations before writing.
// winston: Flexible but higher overhead due to format chaining
const winston = require('winston');
const logger = winston.createLogger({
format: winston.format.combine(
winston.format.timestamp(),
winston.format.json()
),
transports: [new winston.transports.File({ filename: 'app.log' })]
});
logger.info('Operation complete');
// log4js: Moderate overhead with category filtering
const log4js = require('log4js');
const logger = log4js.getLogger('cheese');
logger.info('Operation complete');
debug and loglevel have negligible overhead when disabled (they simply return a no-op function), making them safe to leave in production code if controlled by environment variables.
// debug: Zero cost when disabled
const debug = require('debug')('app:trace');
// If DEBUG env var doesn't match, this function is empty
debug('Heavy computation details');
// loglevel: Minimal wrapper around console
const log = require('loglevel');
log.disableAll(); // Completely silences output with almost no cost
morgan is highly optimized for HTTP streams and rarely causes bottlenecks unless writing to slow synchronous file streams.
// morgan: Efficient streaming for HTTP
app.use(morgan('dev', { skip: (req, res) => res.statusCode < 400 }));
Where do your logs go? Files, consoles, databases, or cloud services? This is where "frameworks" differ from "utilities."
winston is the king of transports. It has a massive ecosystem of plugins to send logs to almost anywhere (AWS CloudWatch, Kafka, Slack, Email).
// winston: Multiple transports simultaneously
const winston = require('winston');
const logger = winston.createLogger({
transports: [
new winston.transports.Console(),
new winston.transports.File({ filename: 'error.log', level: 'error' }),
new winston.transports.Http({ host: 'log-collector', path: '/logs' })
]
});
logger.error('System failure');
log4js uses "appenders" which function similarly to transports, supporting files, consoles, and network sockets.
// log4js: Multiple appenders
const log4js = require('log4js');
log4js.configure({
appenders: {
file: { type: 'file', filename: 'app.log' },
console: { type: 'stdout' }
},
categories: { default: { appenders: ['file', 'console'], level: 'info' } }
});
pino and bunyan typically write to stdout (standard output). They rely on external tools (like Docker drivers, Fluentd, or PM2) to handle the actual transport to files or clouds. This follows the "Unix philosophy" of doing one thing well.
// pino: Writes to stdout, external tools handle transport
const pino = require('pino');
const logger = pino(); // Defaults to process.stdout
logger.info('Send me to a file via shell redirection');
// bunyan: Stream-based configuration
const bunyan = require('bunyan');
const logger = bunyan.createLogger({
name: 'app',
streams: [{ stream: process.stdout }]
});
loggly-jslogger is a single-purpose transport. It cannot write to files or consoles easily; its sole job is sending data to Loggly.
// loggly-jslogger: Single destination
const Loggly = require('loggly-jslogger');
const logger = Loggly.createLogger({ token: 'TOKEN' });
logger.report('Critical error');
debug, loglevel, and morgan do not support pluggable transports. They output to stderr/stdout or the browser console only.
// morgan: Custom stream example (only way to redirect)
const morgan = require('morgan');
const fs = require('fs');
const accessLogStream = fs.createWriteStream('access.log', { flags: 'a' });
app.use(morgan('combined', { stream: accessLogStream }));
How easy is it to change log levels, add metadata, or filter sensitive data?
winston and log4js offer deep configuration. You can define complex hierarchies, custom levels, and filters.
// winston: Custom levels and filters
const winston = require('winston');
const logger = winston.createLogger({
levels: { error: 0, warn: 1, info: 2, verbose: 3 },
format: winston.format.printf(({ level, message, timestamp }) => {
return `${timestamp} [${level.toUpperCase()}]: ${message}`;
})
});
// log4js: Category-based filtering
const log4js = require('log4js');
log4js.configure({
categories: {
db: { appenders: ['db-file'], level: 'debug' },
api: { appenders: ['api-file'], level: 'warn' }
}
});
const dbLogger = log4js.getLogger('db');
const apiLogger = log4js.getLogger('api');
pino and bunyan use child loggers to attach contextual metadata (like request IDs) without passing objects every time.
// pino: Child loggers for context
const pino = require('pino');
const logger = pino();
const reqLogger = logger.child({ reqId: 'abc-123' });
reqLogger.info('Processing request'); // Automatically includes reqId
// bunyan: Similar child logger pattern
const bunyan = require('bunyan');
const logger = bunyan.createLogger({ name: 'service' });
const child = logger.child({ component: 'auth' });
child.info('Auth started');
debug relies entirely on environment variables for configuration, offering no runtime API to change levels.
// debug: Controlled via ENV var 'DEBUG=app:*'
const debug = require('debug')('app:start');
// Cannot change level programmatically
It is vital to note the maintenance status of these packages. bunyan is effectively in maintenance mode; while stable, it receives few updates compared to active projects. loggly-jslogger is tightly coupled to a specific vendor and sees infrequent updates. For new greenfield projects, pino is generally preferred over bunyan for performance, and winston is preferred over loggly-jslogger for flexibility.
// Recommendation: Avoid loggly-jslogger for new generic projects
// Instead, use winston with a winston-loggly transport
const winston = require('winston');
// require('winston-loggly'); // Hypothetical transport usage
| Feature | pino / bunyan | winston / log4js | debug / loglevel | morgan | loggly-jslogger |
|---|---|---|---|---|---|
| Primary Output | Structured JSON | Configurable (Text/JSON) | Plain Text | HTTP Access Strings | Cloud Payload |
| Performance | Extremely High | Moderate | Negligible (if disabled) | High | Network Dependent |
| Transports | External (Stdout) | Built-in Plugin Ecosystem | None (Console only) | File/Stream | Loggly Only |
| Best Use Case | Microservices, High Scale | Enterprise Apps, Complex Needs | Dev Debugging, Frontend | Express/Connect Servers | Loggly Users |
Choosing a logger is about matching the tool to your operational maturity.
If you are building frontend applications or lightweight scripts, loglevel gives you control without the bloat. Use debug inside your libraries to let users toggle verbosity.
For Node.js servers, morgan is non-negotiable for HTTP access logs, but pair it with a general-purpose logger.
If you need maximum performance and run in a containerized environment where logs are collected by an agent (like FluentBit), choose pino. It is the modern standard for cloud-native apps.
If you need complex routing, multiple destinations, or legacy compatibility, winston remains the most versatile workhorse. log4js is a solid alternative if you prefer its specific configuration style.
Avoid loggly-jslogger unless you are fully committed to the Loggly ecosystem, and treat bunyan as a stable legacy choice rather than a cutting-edge one. By aligning your logging strategy with these realities, you ensure your system remains observable and maintainable as it scales.
Choose bunyan if you need stable, structured JSON logging with a strong emphasis on readability via its companion CLI tool. It is ideal for legacy enterprise systems that rely on its specific stream configuration model, though be aware that development has slowed significantly compared to newer alternatives like pino.
Choose debug when you need a zero-overhead way to toggle verbose output during development without cluttering production logs. It is perfect for library authors and developers who want to expose internal state via environment variables (e.g., DEBUG=app:*) without building a full logging infrastructure.
Choose log4js if your team comes from a Java background and desires familiar concepts like appenders, layouts, and categories. It is suitable for applications requiring complex file rotation, multi-process support, or strict adherence to traditional logging hierarchies.
Choose loggly-jslogger only if your infrastructure is strictly tied to the Loggly SaaS platform and you need a direct, dedicated transporter. For most other cases, prefer a general-purpose logger like winston or pino with a Loggly transport plugin to avoid vendor lock-in.
Choose loglevel for frontend applications or lightweight Node.js scripts where bundle size and simplicity are paramount. It is the best choice when you simply need to silence or enable console logs across different environments without managing complex configurations.
Choose morgan specifically for logging HTTP requests in Express or Connect-based Node.js servers. It is not a general-purpose logger; use it alongside another logger to capture access patterns, response times, and status codes in a standardized format.
Choose pino for high-throughput production systems where performance is critical. It offers the fastest JSON logging in the ecosystem with low overhead, making it the modern standard for microservices and serverless functions that emit logs to stdout for collection by agents.
Choose winston when you need maximum flexibility with transports, formats, and community support. It is the go-to solution for applications that must ship logs to multiple destinations (files, databases, cloud services) simultaneously with custom formatting rules.
Bunyan is a simple and fast JSON logging library for node.js services:
var bunyan = require('bunyan');
var log = bunyan.createLogger({name: "myapp"});
log.info("hi");
and a bunyan CLI tool for nicely viewing those logs:

Manifesto: Server logs should be structured. JSON's a good format. Let's do
that. A log record is one line of JSON.stringify'd output. Let's also
specify some common names for the requisite and common fields for a log
record (see below).
Solid core functionality is there. Joyent is using this for a number of production services. Bunyan supports node 0.10 and greater. Follow @trentmick for updates to Bunyan.
There is an email discussion list bunyan-logging@googlegroups.com, also as a forum in the browser.
npm install bunyan
Tip: The bunyan CLI tool is written to be compatible (within reason) with
all versions of Bunyan logs. Therefore you might want to npm install -g bunyan
to get the bunyan CLI on your PATH, then use local bunyan installs for
node.js library usage of bunyan in your apps.
Tip: Installing without optional dependencies can dramatically reduce
bunyan's install size. dtrace-provider is used for dtrace features,
mv is used for RotatingFileStream, and moment is used for local time.
If you don't need these features, consider installing with the
--no-optional flag.
bunyan CLI for pretty-printing and filtering of Bunyan logssrc: truelog.childLike most logging libraries you create a Logger instance and call methods named after the logging levels:
// hi.js
var bunyan = require('bunyan');
var log = bunyan.createLogger({name: 'myapp'});
log.info('hi');
log.warn({lang: 'fr'}, 'au revoir');
All loggers must provide a "name". This is somewhat akin to the log4j logger "name", but Bunyan doesn't do hierarchical logger names.
Bunyan log records are JSON. A few fields are added automatically: "pid", "hostname", "time" and "v".
$ node hi.js
{"name":"myapp","hostname":"banana.local","pid":40161,"level":30,"msg":"hi","time":"2013-01-04T18:46:23.851Z","v":0}
{"name":"myapp","hostname":"banana.local","pid":40161,"level":40,"lang":"fr","msg":"au revoir","time":"2013-01-04T18:46:23.853Z","v":0}
var bunyan = require('bunyan');
var log = bunyan.createLogger({
name: <string>, // Required
level: <level name or number>, // Optional, see "Levels" section
stream: <node.js stream>, // Optional, see "Streams" section
streams: [<bunyan streams>, ...], // Optional, see "Streams" section
serializers: <serializers mapping>, // Optional, see "Serializers" section
src: <boolean>, // Optional, see "src" section
// Any other fields are added to all log records as is.
foo: 'bar',
...
});
The example above shows two different ways to call log.info(...). The
full API is:
log.info(); // Returns a boolean: is the "info" level enabled?
// This is equivalent to `log.isInfoEnabled()` or
// `log.isEnabledFor(INFO)` in log4j.
log.info('hi'); // Log a simple string message (or number).
log.info('hi %s', bob, anotherVar); // Uses `util.format` for msg formatting.
log.info({foo: 'bar'}, 'hi');
// The first field can optionally be a "fields" object, which
// is merged into the log record.
log.info(err); // Special case to log an `Error` instance to the record.
// This adds an "err" field with exception details
// (including the stack) and sets "msg" to the exception
// message.
log.info(err, 'more on this: %s', more);
// ... or you can specify the "msg".
log.info({foo: 'bar', err: err}, 'some msg about this error');
// To pass in an Error *and* other fields, use the `err`
// field name for the Error instance.
Note that this implies you cannot blindly pass any object as the first
argument to log it because that object might include fields that collide with
Bunyan's core record fields. In other words,
log.info(mywidget) may not yield what you expect. Instead of a string
representation of mywidget that other logging libraries may give you, Bunyan
will try to JSON-ify your object. It is a Bunyan best practice to always give a
field name to included objects, e.g.:
log.info({widget: mywidget}, ...)
This will dove-tail with Bunyan serializer support, discussed later.
The same goes for all of Bunyan's log levels: log.trace, log.debug,
log.info, log.warn, log.error, and log.fatal. See the levels
section below for details and suggestions.
Bunyan log output is a stream of JSON objects. This is great for processing,
but not for reading directly. A bunyan tool is provided for
pretty-printing bunyan logs and for filtering (e.g.
| bunyan -c 'this.foo == "bar"'). Using our example above:
$ node hi.js | ./node_modules/.bin/bunyan
[2013-01-04T19:01:18.241Z] INFO: myapp/40208 on banana.local: hi
[2013-01-04T19:01:18.242Z] WARN: myapp/40208 on banana.local: au revoir (lang=fr)
See the screenshot above for an example of the default coloring of rendered
log output. That example also shows the nice formatting automatically done for
some well-known log record fields (e.g. req is formatted like an HTTP request,
res like an HTTP response, err like an error stack trace).
One interesting feature is filtering of log content, which can be useful for digging through large log files or for analysis. We can filter only records above a certain level:
$ node hi.js | bunyan -l warn
[2013-01-04T19:08:37.182Z] WARN: myapp/40353 on banana.local: au revoir (lang=fr)
Or filter on the JSON fields in the records (e.g. only showing the French records in our contrived example):
$ node hi.js | bunyan -c 'this.lang == "fr"'
[2013-01-04T19:08:26.411Z] WARN: myapp/40342 on banana.local: au revoir (lang=fr)
See bunyan --help for other facilities.
By default, log output is to stdout and at the "info" level. Explicitly that looks like:
var log = bunyan.createLogger({
name: 'myapp',
stream: process.stdout,
level: 'info'
});
That is an abbreviated form for a single stream. You can define multiple streams at different levels.
var log = bunyan.createLogger({
name: 'myapp',
streams: [
{
level: 'info',
stream: process.stdout // log INFO and above to stdout
},
{
level: 'error',
path: '/var/tmp/myapp-error.log' // log ERROR and above to a file
}
]
});
More on streams in the Streams section below.
Bunyan has a concept of a child logger to specialize a logger for a
sub-component of your application, i.e. to create a new logger with
additional bound fields that will be included in its log records. A child
logger is created with log.child(...).
In the following example, logging on a "Wuzzle" instance's this.log will
be exactly as on the parent logger with the addition of the widget_type
field:
var bunyan = require('bunyan');
var log = bunyan.createLogger({name: 'myapp'});
function Wuzzle(options) {
this.log = options.log.child({widget_type: 'wuzzle'});
this.log.info('creating a wuzzle')
}
Wuzzle.prototype.woos = function () {
this.log.warn('This wuzzle is woosey.')
}
log.info('start');
var wuzzle = new Wuzzle({log: log});
wuzzle.woos();
log.info('done');
Running that looks like (raw):
$ node myapp.js
{"name":"myapp","hostname":"myhost","pid":34572,"level":30,"msg":"start","time":"2013-01-04T07:47:25.814Z","v":0}
{"name":"myapp","hostname":"myhost","pid":34572,"widget_type":"wuzzle","level":30,"msg":"creating a wuzzle","time":"2013-01-04T07:47:25.815Z","v":0}
{"name":"myapp","hostname":"myhost","pid":34572,"widget_type":"wuzzle","level":40,"msg":"This wuzzle is woosey.","time":"2013-01-04T07:47:25.815Z","v":0}
{"name":"myapp","hostname":"myhost","pid":34572,"level":30,"msg":"done","time":"2013-01-04T07:47:25.816Z","v":0}
And with the bunyan CLI (using the "short" output mode):
$ node myapp.js | bunyan -o short
07:46:42.707Z INFO myapp: start
07:46:42.709Z INFO myapp: creating a wuzzle (widget_type=wuzzle)
07:46:42.709Z WARN myapp: This wuzzle is woosey. (widget_type=wuzzle)
07:46:42.709Z INFO myapp: done
A more practical example is in the
node-restify web framework.
Restify uses Bunyan for its logging. One feature of its integration, is that
if server.use(restify.requestLogger()) is used, each restify request handler
includes a req.log logger that is:
log.child({req_id: <unique request id>}, true)
Apps using restify can then use req.log and have all such log records
include the unique request id (as "req_id"). Handy.
Bunyan has a concept of "serializer" functions to produce a JSON-able object from a JavaScript object, so you can easily do the following:
log.info({req: <request object>}, 'something about handling this request');
and have the req entry in the log record be just a reasonable subset of
<request object> fields (or computed data about those fields).
A logger instance can have a serializers mapping of log record field name
("req" in this example) to a serializer function. When creating the log
record, Bunyan will call the serializer function for fields of that name.
An example:
function reqSerializer(req) {
return {
method: req.method,
url: req.url,
headers: req.headers
};
}
var log = bunyan.createLogger({
name: 'myapp',
serializers: {
req: reqSerializer
}
});
Typically serializers are added to a logger at creation time via
bunyan.createLogger({..., serializers: <serializers>}). However, serializers
can be added after creation via <logger>.addSerializers(...), e.g.:
var log = bunyan.createLogger({name: 'myapp'});
log.addSerializers({req: reqSerializer});
A serializer function is passed unprotected objects that are passed to the
log.info, log.debug, etc. call. This means a poorly written serializer
function can cause side-effects. Logging shouldn't do that. Here are a few
rules and best practices for serializer functions:
A serializer function should never throw. The bunyan library does protect somewhat from this: if the serializer throws an error, then bunyan will (a) write an ugly message on stderr (along with the traceback), and (b) the field in the log record will be replaced with a short error message. For example:
bunyan: ERROR: Exception thrown from the "foo" Bunyan serializer. This should never happen. This is a bug in that serializer function.
TypeError: Cannot read property 'not' of undefined
at Object.fooSerializer [as foo] (/Users/trentm/tm/node-bunyan/bar.js:8:26)
at /Users/trentm/tm/node-bunyan/lib/bunyan.js:873:50
at Array.forEach (native)
at Logger._applySerializers (/Users/trentm/tm/node-bunyan/lib/bunyan.js:865:35)
at mkRecord (/Users/trentm/tm/node-bunyan/lib/bunyan.js:978:17)
at Logger.info (/Users/trentm/tm/node-bunyan/lib/bunyan.js:1044:19)
at Object.<anonymous> (/Users/trentm/tm/node-bunyan/bar.js:13:5)
at Module._compile (module.js:409:26)
at Object.Module._extensions..js (module.js:416:10)
at Module.load (module.js:343:32)
{"name":"bar","hostname":"danger0.local","pid":47411,"level":30,"foo":"(Error in Bunyan log \"foo\" serializer broke field. See stderr for details.)","msg":"one","time":"2017-03-08T02:53:51.173Z","v":0}
A serializer function should never mutate the given object. Doing so will change the object in your application.
A serializer function should be defensive. In my experience, it is common to set a serializer in an app, say for field name "foo", and then accidentally have a log line that passes a "foo" that is undefined, or null, or of some unexpected type. A good start at defensiveness is to start with this:
function fooSerializer(foo) {
// Guard against foo be null/undefined. Check that expected fields
// are defined.
if (!foo || !foo.bar)
return foo;
var obj = {
// Create the object to be logged.
bar: foo.bar
}
return obj;
};
Bunyan includes a small set of "standard serializers", exported as
bunyan.stdSerializers. Their use is completely optional. An example using
all of them:
var log = bunyan.createLogger({
name: 'myapp',
serializers: bunyan.stdSerializers
});
or particular ones:
var log = bunyan.createLogger({
name: 'myapp',
serializers: {err: bunyan.stdSerializers.err}
});
Standard serializers are:
| Field | Description |
|---|---|
| err | Used for serializing JavaScript error objects, including traversing an error's cause chain for error objects with a .cause() -- e.g. as from verror. |
| req | Common fields from a node.js HTTP request object. |
| res | Common fields from a node.js HTTP response object. |
Note that the req and res serializers intentionally do not include the
request/response body, as that can be prohibitively large. If helpful, the
restify framework's audit logger plugin
has its own req/res serializers that include more information (optionally
including the body).
The source file, line and function of the log call site can be added to
log records by using the src: true config option:
var log = bunyan.createLogger({src: true, ...});
This adds the call source info with the 'src' field, like this:
{
"name": "src-example",
"hostname": "banana.local",
"pid": 123,
"component": "wuzzle",
"level": 4,
"msg": "This wuzzle is woosey.",
"time": "2012-02-06T04:19:35.605Z",
"src": {
"file": "/Users/trentm/tm/node-bunyan/examples/src.js",
"line": 20,
"func": "Wuzzle.woos"
},
"v": 0
}
WARNING: Determining the call source info is slow. Never use this option in production.
The log levels in bunyan are as follows. The level descriptions are best practice opinions of the author.
Setting a logger instance (or one of its streams) to a particular level implies that all log records at that level and above are logged. E.g. a logger set to level "info" will log records at level info and above (warn, error, fatal).
While using log level names is preferred, the actual level values are integers
internally (10 for "trace", ..., 60 for "fatal"). Constants are defined for
the levels: bunyan.TRACE ... bunyan.FATAL. The lowercase level names are
aliases supported in the API, e.g. log.level("info"). There is one exception:
DTrace integration uses the level names. The fired DTrace probes are named
'bunyan-$levelName'.
Here is the API for querying and changing levels on an existing logger. Recall that a logger instance has an array of output "streams":
log.level() -> INFO // gets current level (lowest level of all streams)
log.level(INFO) // set all streams to level INFO
log.level("info") // set all streams to level INFO
log.levels() -> [DEBUG, INFO] // get array of levels of all streams
log.levels(0) -> DEBUG // get level of stream at index 0
log.levels("foo") // get level of stream with name "foo"
log.levels(0, INFO) // set level of stream 0 to INFO
log.levels(0, "info") // can use "info" et al aliases
log.levels("foo", WARN) // set stream named "foo" to WARN
Trent's biased suggestions for server apps: Use "debug" sparingly. Information that will be useful to debug errors post mortem should usually be included in "info" messages if it's generally relevant or else with the corresponding "error" event. Don't rely on spewing mostly irrelevant debug messages all the time and sifting through them when an error occurs.
Trent's biased suggestions for node.js libraries: IMHO, libraries should only
ever log at trace-level. Fine control over log output should be up to the
app using a library. Having a library that spews log output at higher levels
gets in the way of a clear story in the app logs.
This section will describe rules for the Bunyan log format: field names,
field meanings, required fields, etc. However, a Bunyan library doesn't
strictly enforce all these rules while records are being emitted. For example,
Bunyan will add a time field with the correct format to your log records,
but you can specify your own. It is the caller's responsibility to specify
the appropriate format.
The reason for the above leniency is because IMO logging a message should
never break your app. This leads to this rule of logging: a thrown
exception from log.info(...) or equivalent (other than for calling with the
incorrect signature) is always a bug in Bunyan.
A typical Bunyan log record looks like this:
{"name":"myserver","hostname":"banana.local","pid":123,"req":{"method":"GET","url":"/path?q=1#anchor","headers":{"x-hi":"Mom","connection":"close"}},"level":3,"msg":"start request","time":"2012-02-03T19:02:46.178Z","v":0}
Pretty-printed:
{
"name": "myserver",
"hostname": "banana.local",
"pid": 123,
"req": {
"method": "GET",
"url": "/path?q=1#anchor",
"headers": {
"x-hi": "Mom",
"connection": "close"
},
"remoteAddress": "120.0.0.1",
"remotePort": 51244
},
"level": 3,
"msg": "start request",
"time": "2012-02-03T19:02:57.534Z",
"v": 0
}
v: Required. Integer. Added by Bunyan. Cannot be overridden.
This is the Bunyan log format version (require('bunyan').LOG_VERSION).
The log version is a single integer. 0 is until I release a version
"1.0.0" of node-bunyan. Thereafter, starting with 1, this will be
incremented if there is any backward incompatible change to the log record
format. Details will be in "CHANGES.md" (the change log).level: Required. Integer. Added by Bunyan. Cannot be overridden.
See the "Levels" section.name: Required. String. Provided at Logger creation.
You must specify a name for your logger when creating it. Typically this
is the name of the service/app using Bunyan for logging.hostname: Required. String. Provided or determined at Logger creation.
You can specify your hostname at Logger creation or it will be retrieved
via os.hostname().pid: Required. Integer. Filled in automatically at Logger creation.time: Required. String. Added by Bunyan. Can be overridden.
The date and time of the event in ISO 8601
Extended Format format and in UTC,
as from
Date.toISOString().msg: Required. String.
Every log.debug(...) et al call must provide a log message.src: Optional. Object giving log call source info. This is added
automatically by Bunyan if the "src: true" config option is given to the
Logger. Never use in production as this is really slow.Go ahead and add more fields, and nested ones are fine (and recommended) as well. This is why we're using JSON. Some suggestions and best practices follow (feedback from actual users welcome).
err: Object. A caught JS exception. Log that thing with log.info(err)
to get:
...
"err": {
"message": "boom",
"name": "TypeError",
"stack": "TypeError: boom\n at Object.<anonymous> ..."
},
"msg": "boom",
...
Or use the bunyan.stdSerializers.err serializer in your Logger and
do this log.error({err: err}, "oops"). See "examples/err.js".
req_id: String. A request identifier. Including this field in all logging
tied to handling a particular request to your server is strongly suggested.
This allows post analysis of logs to easily collate all related logging
for a request. This really shines when you have a SOA with multiple services
and you carry a single request ID from the top API down through all APIs
(as node-restify facilitates
with its 'Request-Id' header).
req: An HTTP server request. Bunyan provides bunyan.stdSerializers.req
to serialize a request with a suggested set of keys. Example:
{
"method": "GET",
"url": "/path?q=1#anchor",
"headers": {
"x-hi": "Mom",
"connection": "close"
},
"remoteAddress": "120.0.0.1",
"remotePort": 51244
}
res: An HTTP server response. Bunyan provides bunyan.stdSerializers.res
to serialize a response with a suggested set of keys. Example:
{
"statusCode": 200,
"header": "HTTP/1.1 200 OK\r\nContent-Type: text/plain\r\nConnection: keep-alive\r\nTransfer-Encoding: chunked\r\n\r\n"
}
req.username: Authenticated user (or for a 401, the user attempting to
auth).latency custom field would be fine.req.body: If you know that request bodies are small (common in APIs,
for example), then logging the request body is good.A "stream" is Bunyan's name for where it outputs log messages (the equivalent to a log4j Appender). Ultimately Bunyan uses a Writable Stream interface, but there are some additional attributes used to create and manage the stream. A Bunyan Logger instance has one or more streams. In general streams are specified with the "streams" option:
var bunyan = require('bunyan');
var log = bunyan.createLogger({
name: "foo",
streams: [
{
stream: process.stderr,
level: "debug"
},
...
]
});
For convenience, if there is only one stream, it can be specified with the
"stream" and "level" options (internally converted to a Logger.streams).
var log = bunyan.createLogger({
name: "foo",
stream: process.stderr,
level: "debug"
});
Note that "file" streams do not support this shortcut (partly for historical reasons and partly to not make it difficult to add a literal "path" field on log records).
If neither "streams" nor "stream" are specified, the default is a stream of
type "stream" emitting to process.stdout at the "info" level.
After a bunyan instance has been initialized, you may add additional streams by
calling the addStream function.
var bunyan = require('bunyan');
var log = bunyan.createLogger('myLogger');
log.addStream({
name: "myNewStream",
stream: process.stderr,
level: "debug"
});
A Bunyan logger instance can be made to re-emit "error" events from its
streams. Bunyan does so by default for type === "file"
streams, so you can do this:
var log = bunyan.createLogger({name: 'mylog', streams: [{path: LOG_PATH}]});
log.on('error', function (err, stream) {
// Handle stream write or create error here.
});
As of bunyan@1.7.0, the reemitErrorEvents field can be used when adding a
stream to control whether "error" events are re-emitted on the Logger. For
example:
var EventEmitter = require('events').EventEmitter;
var util = require('util');
function MyFlakyStream() {}
util.inherits(MyFlakyStream, EventEmitter);
MyFlakyStream.prototype.write = function (rec) {
this.emit('error', new Error('boom'));
}
var log = bunyan.createLogger({
name: 'this-is-flaky',
streams: [
{
type: 'raw',
stream: new MyFlakyStream(),
reemitErrorEvents: true
}
]
});
log.info('hi there');
The behaviour is as follows:
reemitErrorEvents not specified: file streams will re-emit error events
on the Logger instance.reemitErrorEvents: true: error events will be re-emitted on the Logger
for any stream with a .on() function -- which includes file streams,
process.stdout/stderr, and any object that inherits from EventEmitter.reemitErrorEvents: false: error events will not be re-emitted for any
streams.Note: "error" events are not related to log records at the "error" level
as produced by log.error(...). See the node.js docs on error
events for details.
streamA type === 'stream' is a plain ol' node.js Writable
Stream. A
"stream" (the writable stream) field is required. E.g.: process.stdout,
process.stderr.
var log = bunyan.createLogger({
name: 'foo',
streams: [{
stream: process.stderr
// `type: 'stream'` is implied
}]
});
| Field | Required? | Default | Description |
|---|---|---|---|
| stream | Yes | - | A "Writable Stream", e.g. a std handle or an open file write stream. |
| type | No | n/a | `type == 'stream'` is implied if the `stream` field is given. |
| level | No | info | The level to which logging to this stream is enabled. If not specified it defaults to "info". If specified this can be one of the level strings ("trace", "debug", ...) or constants (`bunyan.TRACE`, `bunyan.DEBUG`, ...). This serves as a severity threshold for that stream so logs of greater severity will also pass through (i.e. If level="warn", error and fatal will also pass through this stream). |
| name | No | - | A name for this stream. This may be useful for usage of `log.level(NAME, LEVEL)`. See the [Levels section](https://www.npmjs.com/package/bunyan#levels) for details. A stream "name" isn't used for anything else. |
fileA type === 'file' stream requires a "path" field. Bunyan will open this
file for appending. E.g.:
var log = bunyan.createLogger({
name: 'foo',
streams: [{
path: '/var/log/foo.log',
// `type: 'file'` is implied
}]
});
| Field | Required? | Default | Description |
|---|---|---|---|
| path | Yes | - | A file path to which to log. |
| type | No | n/a | `type == 'file'` is implied if the `path` field is given. |
| level | No | info | The level to which logging to this stream is enabled. If not specified it defaults to "info". If specified this can be one of the level strings ("trace", "debug", ...) or constants (`bunyan.TRACE`, `bunyan.DEBUG`, ...). This serves as a severity threshold for that stream so logs of greater severity will also pass through (i.e. If level="warn", error and fatal will also pass through this stream). |
| name | No | - | A name for this stream. This may be useful for usage of `log.level(NAME, LEVEL)`. See the [Levels section](https://www.npmjs.com/package/bunyan#levels) for details. A stream "name" isn't used for anything else. |
rotating-fileWARNING on node 0.8 usage: Users of Bunyan's rotating-file should (a) be
using at least bunyan 0.23.1 (with the fix for this
issue), and (b) should use at
least node 0.10 (node 0.8 does not support the unref() method on
setTimeout(...) needed for the mentioned fix). The symptom is that process
termination will hang for up to a full rotation period.
WARNING on cluster
usage: Using Bunyan's rotating-file stream with node.js's "cluster" module
can result in unexpected file rotation. You must not have multiple processes
in the cluster logging to the same file path. In other words, you must have
a separate log file path for the master and each worker in the cluster.
Alternatively, consider using a system file rotation facility such as
logrotate on Linux or logadm on SmartOS/Illumos. See
this comment on issue #117
for details.
A type === 'rotating-file' is a file stream that handles file automatic
rotation.
var log = bunyan.createLogger({
name: 'foo',
streams: [{
type: 'rotating-file',
path: '/var/log/foo.log',
period: '1d', // daily rotation
count: 3 // keep 3 back copies
}]
});
This will rotate '/var/log/foo.log' every day (at midnight) to:
/var/log/foo.log.0 # yesterday
/var/log/foo.log.1 # 1 day ago
/var/log/foo.log.2 # 2 days ago
Currently, there is no support for providing a template for the rotated files, or for rotating when the log reaches a threshold size.
| Field | Required? | Default | Description |
|---|---|---|---|
| type | Yes | - | "rotating-file" |
| path | Yes | - | A file path to which to log. Rotated files will be "$path.0", "$path.1", ... |
| period | No | 1d | The period at which to rotate. This is a string of the format "$number$scope" where "$scope" is one of "ms" (milliseconds -- only useful for testing), "h" (hours), "d" (days), "w" (weeks), "m" (months), "y" (years). Or one of the following names can be used "hourly" (means 1h), "daily" (1d), "weekly" (1w), "monthly" (1m), "yearly" (1y). Rotation is done at the start of the scope: top of the hour (h), midnight (d), start of Sunday (w), start of the 1st of the month (m), start of Jan 1st (y). |
| count | No | 10 | The number of rotated files to keep. |
| level | No | info | The level at which logging to this stream is enabled. If not specified it defaults to "info". If specified this can be one of the level strings ("trace", "debug", ...) or constants (`bunyan.TRACE`, `bunyan.DEBUG`, ...). |
| name | No | - | A name for this stream. This may be useful for usage of `log.level(NAME, LEVEL)`. See the [Levels section](https://www.npmjs.com/package/bunyan#levels) for details. A stream "name" isn't used for anything else. |
Note on log rotation: Often you may be using external log rotation utilities
like logrotate on Linux or logadm on SmartOS/Illumos. In those cases, unless
you are ensuring "copy and truncate" semantics (via copytruncate with
logrotate or -c with logadm) then the fd for your 'file' stream will change.
You can tell bunyan to reopen the file stream with code like this in your
app:
var log = bunyan.createLogger(...);
...
process.on('SIGUSR2', function () {
log.reopenFileStreams();
});
where you'd configure your log rotation to send SIGUSR2 (or some other signal)
to your process. Any other mechanism to signal your app to run
log.reopenFileStreams() would work as well.
rawraw: Similar to a "stream" writable stream, except that the write method
is given raw log record Objects instead of a JSON-stringified string.
This can be useful for hooking on further processing to all Bunyan logging:
pushing to an external service, a RingBuffer (see below), etc.raw + RingBuffer StreamBunyan comes with a special stream called a RingBuffer which keeps the last N records in memory and does not write the data anywhere else. One common strategy is to log 'info' and higher to a normal log file but log all records (including 'trace') to a ringbuffer that you can access via a debugger, or your own HTTP interface, or a post-mortem facility like MDB or node-panic.
To use a RingBuffer:
/* Create a ring buffer that stores the last 100 records. */
var bunyan = require('bunyan');
var ringbuffer = new bunyan.RingBuffer({ limit: 100 });
var log = bunyan.createLogger({
name: 'foo',
streams: [
{
level: 'info',
stream: process.stdout
},
{
level: 'trace',
type: 'raw', // use 'raw' to get raw log record objects
stream: ringbuffer
}
]
});
log.info('hello world');
console.log(ringbuffer.records);
This example emits:
[ { name: 'foo',
hostname: '912d2b29',
pid: 50346,
level: 30,
msg: 'hello world',
time: '2012-06-19T21:34:19.906Z',
v: 0 } ]
See the user-maintained list in the Bunyan wiki.
On systems that support DTrace (e.g., illumos derivatives like SmartOS and
OmniOS, FreeBSD, Mac), Bunyan will create a DTrace provider (bunyan) that
makes available the following probes:
log-trace
log-debug
log-info
log-warn
log-error
log-fatal
Each of these probes has a single argument: the string that would be written to the log. Note that when a probe is enabled, it will fire whenever the corresponding function is called, even if the level of the log message is less than that of any stream.
Trace all log messages coming from any Bunyan module on the system.
(The -x strsize=4k is to raise dtrace's default 256 byte buffer size
because log messages are longer than typical dtrace probes.)
dtrace -x strsize=4k -qn 'bunyan*:::log-*{printf("%d: %s: %s", pid, probefunc, copyinstr(arg0))}'
Trace all log messages coming from the "wuzzle" component:
dtrace -x strsize=4k -qn 'bunyan*:::log-*/strstr(this->str = copyinstr(arg0), "\"component\":\"wuzzle\"") != NULL/{printf("%s", this->str)}'
Aggregate debug messages from process 1234, by message:
dtrace -x strsize=4k -n 'bunyan1234:::log-debug{@[copyinstr(arg0)] = count()}'
Have the bunyan CLI pretty-print the traced logs:
dtrace -x strsize=4k -qn 'bunyan1234:::log-*{printf("%s", copyinstr(arg0))}' | bunyan
A convenience handle has been made for this:
bunyan -p 1234
On systems that support the
jstack action
via a node.js helper, get a stack backtrace for any debug message that
includes the string "danger!":
dtrace -x strsize=4k -qn 'log-debug/strstr(copyinstr(arg0), "danger!") != NULL/{printf("\n%s", copyinstr(arg0)); jstack()}'
Output of the above might be:
{"name":"foo","hostname":"763bf293-d65c-42d5-872b-4abe25d5c4c7.local","pid":12747,"level":20,"msg":"danger!","time":"2012-10-30T18:28:57.115Z","v":0}
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<< adaptor >>
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Node-bunyan supports running in a few runtime environments:
Support for other runtime environments is welcome. If you have suggestions, fixes, or mentions that node-bunyan already works in some other JavaScript runtime, please open an issue or a pull request.
The primary target is Node.js. It is the only environment in which I regularly test. If you have suggestions for how to automate testing for other environments, I'd appreciate feedback on this automated testing issue.
As the Browserify site says it "lets you
require('modules') in the browser by bundling up all of your dependencies."
It is a build tool to run on your node.js script to bundle up your script and
all its node.js dependencies into a single file that is runnable in the
browser via:
<script src="play.browser.js"></script>
As of version 1.1.0, node-bunyan supports being run via Browserify. The
default stream when running in the browser is one that emits
raw log records to console.log/info/warn/error.
Here is a quick example showing you how you can get this working for your script.
Get browserify and bunyan installed in your module:
$ npm install browserify bunyan
An example script using Bunyan, "play.js":
var bunyan = require('bunyan');
var log = bunyan.createLogger({name: 'play', level: 'debug'});
log.trace('this one does not emit');
log.debug('hi on debug'); // console.log
log.info('hi on info'); // console.info
log.warn('hi on warn'); // console.warn
log.error('hi on error'); // console.error
Build this into a bundle to run in the browser, "play.browser.js":
$ ./node_modules/.bin/browserify play.js -o play.browser.js
Put that into an HTML file, "play.html":
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<script src="play.browser.js"></script>
</head>
<body>
<div>hi</div>
</body>
</html>
Open that in your browser and open your browser console:
$ open play.html
Here is what it looks like in Firefox's console: 
For some, the raw log records might not be desired. To have a rendered log line you'll want to add your own stream, starting with something like this:
var bunyan = require('./lib/bunyan');
function MyRawStream() {}
MyRawStream.prototype.write = function (rec) {
console.log('[%s] %s: %s',
rec.time.toISOString(),
bunyan.nameFromLevel[rec.level],
rec.msg);
}
var log = bunyan.createLogger({
name: 'play',
streams: [
{
level: 'info',
stream: new MyRawStream(),
type: 'raw'
}
]
});
log.info('hi on info');
To include bunyan in your webpack bundle you need to tell webpack to ignore the optional dependencies that are unavailable in browser environments.
Mark the following dependencies as externals in your webpack configuration file to exclude them from the bundle:
module: {
externals: ['dtrace-provider', 'fs', 'mv', 'os', 'source-map-support']
}
All versions are <major>.<minor>.<patch> which will be incremented for
breaking backward compat and major reworks, new features without breaking
change, and bug fixes, respectively. tl;dr: Semantic
versioning.
MIT.
See the user-maintained list of Bunyan-related software in the Bunyan wiki.