Overview
Integrate New Relic with RudderStack and send data to New Relic automatically without writing any code. Once you’ve configured a source (choose from any of our native SDKs or your warehouse), add New Relic, and events will start flowing with the schedule you choose. No need to bother your engineering team with another integration request.
Add New Relic as a destination in RudderStack and:
- Skip all the manual instrumentation and get all your customer event data across multiple sources, e.g. websites, and mobile applications
- Leverage real-time customer events along with the relevant contextual information to understand the user experience and behavior
- Collect events and metrics related to your users and automatically send it to New Relic for actionable insights
New Relic is a popular cloud-based observability platform that allows companies and application owners to track the performance of their software (APM). It allows you to instrument, analyze, troubleshoot, and optimize your entire application stack through a single platform. With New Relic, you can also collect all your application’s telemetry data and apply AI-driven insights to deliver a scalable, reliable, and ready-to-market application. Implementing New Relic along with all of your other SDKs can take a lot of work (dealing with new relic agent, agent configuration, node.js agent, newrelic.js, environment variables, config files, npm, etc.), all to do performance monitoring. With RudderStack, you can automatically send data from your JavaSCript apps (including node.js applications) and all you need is a New Relic account and New Relic License Key—no custom instrumentation needed. RudderStack sends JSON payloads directly, so your team using New Relic can analyze data flowing directly to the New Relic UI. You can monitor application performance and send rich metadata (including application name or app_name, hostname, etc.) with events. RudderStack can also route a copy of the data to your warehouse (i.e., AWS Redshift, Snowflake, etc.) where you can use SQL or Python to perform even deeper analysis (all without painful data exports!).
