Module to create a basic Pino LoggerConfig to support Google Cloud structured logging
npm install @google-cloud/pino-logging-gcp-configThis library contains the code to generate a Pino configuration which outputs
JSON structured logs for Google Cloud Logging.
This can be used with any Google Cloud service that captures logs written to
stdout (such as Cloud Run, Cloud Run Functions and Google Kubernetes Engine
workloads), so that the logging is formatted correctly in
Google Cloud Logging. This then alllows
filtering by log level, the ability to include structured data in the logs, and
reporting of errors with stack traces to
Google Cloud Error Reporting
- Converts Pino log levels to Google Cloud Logging log levels.
- Uses message instead of msg for the message key.
- Adds a millisecond-granularity timestamp in a
format recognised by Google Cloud Logging,
eg: "timestamp":{"seconds":1445470140,"nanos":123000000}.
- Adds a sequential
insertId
to ensure log messages with identical timestamps are ordered correctly.
- Logs including an Error object have the
stack_trace property
set so that the error is forwarded to Google Cloud Error Reporting.
- Includes a
ServiceContext
object in the logs for Google Cloud Error Reporting.
- Maps the OpenTelemetry properties span_id, trace_id, trace_flags to the
equivalent
Google Cloud Logging fields.
- User-defined formatters.log is always executed as-is, before GCP formatting.
``bash`
npm install --save pino @google-cloud/pino-logging-gcp-config
Using Typescript / ES Modules:
`typescript`
import as pino from 'pino';
import {createGcpLoggingPinoConfig} from '@google-cloud/pino-logging-gcp-config';
Using Javascript / CommonJS:
`javascript`
const pino = require('pino');
const {createGcpLoggingPinoConfig} = require('@google-cloud/pino-logging-gcp-config');
The
ServiceContext
(used by
Cloud Error Reporting)
can either be specified manually, along with any Pino logging options such as
the default log level:
`javascript`
const logger = pino.pino(
createGcpLoggingPinoConfig(
{
serviceContext: {
service: 'my-service',
version: '1.2.3',
},
},
{
// set Pino log level to 'debug'
level: 'debug',
}
)
);
Or using the defaults, the service name is auto-detected from the GCP
environment:
`javascript`
const logger = pino.pino(createGcpLoggingPinoConfig());
`javascript
// Simple log message:
logger.info('hello world');
// Logging an exception:
const err = new Error('some exception');
logger.error(err, 'Caught an exception: %s', err);
// Logging with some additional properties, which can be used as searchable
// values in Cloud Logging:
logger.debug(
{
someProperties: 'some value',
},
'logging with extra properties'
);
`
Each log message will be output as a single line of JSON text. The output below
has been reformatted to multiple lines for clarity.
`json``
{
"severity": "INFO",
"level": 30,
"timestamp": {
"seconds": 1730802506,
"nanos": 375000000
},
"pid": 601658,
"hostname": "myHostName",
"logging.googleapis.com/insertId": "..........40FL7.zwt0uNYGdcmFiUn_",
"serviceContext": {
"service": "my-service",
"version": "1.2.3"
},
"message": "hello world"
}
{
"severity": "ERROR",
"level": 50,
"timestamp": {
"seconds": 1730802506,
"nanos": 377000000
},
"pid": 601658,
"hostname": "myHostName",
"err": {
"type": "Error",
"message": "some exception",
"stack": "Error: some exception\n at Object.
},
"logging.googleapis.com/insertId": "..........80FL7.zwt0uNYGdcmFiUn_",
"serviceContext": {
"service": "my-service",
"version": "1.2.3"
},
"stack_trace": "Error: some exception\n at Object.
"message": "Caught an exception: Error: some exception"
}
{
"severity": "DEBUG",
"level": 20,
"timestamp": {
"seconds": 1730802506,
"nanos": 378000000
},
"pid": 601658,
"hostname": "myHostName",
"someProperties": "some value",
"logging.googleapis.com/insertId": "..........C0FL7.zwt0uNYGdcmFiUn_",
"serviceContext": {
"service": "my-service",
"version": "1.2.3"
},
"message": "logging with extra properties"
}
This output will show up in Cloud Logging as in this screenshot (the second and
third log messages have been expanded to show the stack trace and the additional
log properties)
!Screenshot from Cloud Logging
The Error with the stack trace will also show up in Cloud Error Reporting, with
the Service name and version specified in the ServiceContext.