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@datadog/browser-logs
Advanced tools
Send logs to Datadog from web browser pages with the browser logs SDK.
Send logs to Datadog from web browser pages with the browser logs SDK.
See the dedicated datadog documentation for more details.
After adding @datadog/browser-logs to your package.json file, initialize it with:
import { datadogLogs } from '@datadog/browser-logs'
datadogLogs.init({
clientToken: '<DATADOG_CLIENT_TOKEN>',
site: '<DATADOG_SITE>',
forwardErrorsToLogs: true,
sessionSampleRate: 100,
})
After the Datadog browser logs SDK is initialized, send custom log entries directly to Datadog:
import { datadogLogs } from '@datadog/browser-logs'
datadogLogs.logger.info('Button clicked', { name: 'buttonName', id: 123 })
try {
...
throw new Error('Wrong behavior')
...
} catch (ex) {
datadogLogs.logger.error('Error occurred', { team: 'myTeam' }, ex)
}
LogRocket is a front-end logging and session replay tool that helps you understand issues affecting your users. It provides similar logging capabilities as @datadog/browser-logs but also includes session replay, which allows you to see exactly what the user did leading up to an issue.
Loggly is a cloud-based log management service. The `loggly-jslogger` package allows you to send logs from your web applications to Loggly. It provides similar logging capabilities as @datadog/browser-logs but integrates with Loggly's log management and analysis platform.
FAQs
Send logs to Datadog from web browser pages with the browser logs SDK.
The npm package @datadog/browser-logs receives a total of 1,658,955 weekly downloads. As such, @datadog/browser-logs popularity was classified as popular.
We found that @datadog/browser-logs demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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