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Manage logs

with a single click.

Fast, trouble-free troubleshooting.

Explore millions of log messages with just a click. Forget manual queries and hours looking for that needle in a haystack and instantly detect patterns and outliers in your log data using machine learning. Then easily create custom queries, alerts and dashboards for deeper analysis.


Scale up. Keep cost rates down.

New Relic log management automatically scales to the volume you use. Data and user cost rates won’t increase. So you’ll always know exactly what the price will be.

Simple to set up, easy to use.

Easily ingest any text-based data from anywhere. Simply use the New Relic log forwarder that's best for your environment, including the New Relic infrastructure agent, New Relic API, AWS and Azure integrations, and open source tools like Fluentd, Fluent Bit, and Logstash. Or go agentless by forwarding syslog data to our TCP endpoint.


Instant visibility at any volume.

With all your data on one platform, get search responses in seconds. Then use data partitioning to segment data any way you want. Search, filter, or pivot to areas of interest, save searches, and create custom dashboards and alerts to find and fix issues fast.

See why customers love New Relic log management.

Look who
has us open.

Start New Relic log management fast, and for free.

Get complete, contextualized visibility into all your logs with 100GB/month ingest free, forever. Then it’s only $0.30 per GB ingested after that.

Have questions about log monitoring? We have answers.

Log management covers all of the processes for handling log data. By sending all of your log data to a centralized tool, you’ll have a successful log management process that can make it much easier to understand and identify problems in an application network.

New Relic’s logging best practices include:

                       • Anticipate common scenarios

                       • Log meaningful messages for valuable context  

                       • Keep logs simple and concise to capture only the most critical information

                       • Don’t forget to timestamp 

                       • Use a log format with consistent structure for meaningful parsing 


You should consider shifting from your ELK stack when your software engineering teams need to share insights with less-technical business and customer-facing teams. Also, when you want easier-to-learn tools for your growing developer team. Read more about Simple Business’s shift from ELK to New Relic.

Distributed tracing, also called distributed request tracing, monitors how fast applications follow the course of a request or transaction.