Maximizing Observability with New Relic Logs

Maximizing Observability with New Relic Logs

This workshop is a comprehensive introduction to understanding and working with Logs in New Relic. Get hands-on with your data. Practice importing logs and then parsing, filtering, dropping, and alerting on log data in New Relic One.

About this workshop

Log management provides a way to connect your log data with the rest of your application and infrastructure data, allowing you to get to the root cause of problems quickly, without losing context switching between tools.

This workshop is a comprehensive introduction to understanding and working with Logs in New Relic. Get hands-on with your data. Practice importing logs and then parsing, filtering, dropping, and alerting on log data in New Relic One. Using a sandbox environment, you’ll get to create and test several log configurations and the muting rules, parsing, and querying within New Relic One. Search by time, filter to focus on areas of interest, pivot to show surrounding logs, save searches and more.

New Relic One weaves all your logs and events data into a single, comprehensive view to empower you to easily correlate log data with APM, Infrastructure and error data. Leverage logs in Context where a trace and span ID is automatically applied to Full Stack Observability content ensuring faster mean time to resolution with more granular visibility into the underlying correlated logs. 

At the end of this workshop, we hope you’ll be prepared to tailor New Relic’s log management solutions for your specific needs. With this hands-on practice, you’ll be able to spot interesting patterns in your logs, explore and share your data with charts, and setup alert conditions for problems you want to prevent.

Agenda and Labs:

  • Brief context about Log shipping and New Relic One
  • Log shipping and parsing. Several ways to bring your log data into New Relic One.
    • Lab: Importing data with the New Relic Infrastructure agent
    • Lab: Send the Infrastructure agent's verbose logs to New Relic
    • Lab: Changing FluentD configuration to output to New Relic
    • Extra Lab: Kubernetes log integration
  • Create custom charts, dashboards, and alerts from log data
    • Lab: Visualize your log data directly from the Logs UI
    • Lab: Creating custom rules to filter or drop log data
  • Lucene query syntax, filtering, and faceting in New Relic One
    • Lab: Query practice 
  • Configuring logs in Context with an APM agent
    • Lab: Troubleshooting an application with context 
  • Knowledge Check and Takeaways

 

Maximizing Observability with New Relic Logs

Event Date Spaces left
Maximizing Observability with New Relic Logs 112
Maximizing Observability with New Relic Logs 137

About this workshop

Log management provides a way to connect your log data with the rest of your application and infrastructure data, allowing you to get to the root cause of problems quickly, without losing context switching between tools.

This workshop is a comprehensive introduction to understanding and working with Logs in New Relic. Get hands-on with your data. Practice importing logs and then parsing, filtering, dropping, and alerting on log data in New Relic One. Using a sandbox environment, you’ll get to create and test several log configurations and the muting rules, parsing, and querying within New Relic One. Search by time, filter to focus on areas of interest, pivot to show surrounding logs, save searches and more.

New Relic One weaves all your logs and events data into a single, comprehensive view to empower you to easily correlate log data with APM, Infrastructure and error data. Leverage logs in Context where a trace and span ID is automatically applied to Full Stack Observability content ensuring faster mean time to resolution with more granular visibility into the underlying correlated logs. 

At the end of this workshop, we hope you’ll be prepared to tailor New Relic’s log management solutions for your specific needs. With this hands-on practice, you’ll be able to spot interesting patterns in your logs, explore and share your data with charts, and setup alert conditions for problems you want to prevent.

Agenda and Labs:

  • Brief context about Log shipping and New Relic One
  • Log shipping and parsing. Several ways to bring your log data into New Relic One.
    • Lab: Importing data with the New Relic Infrastructure agent
    • Lab: Send the Infrastructure agent's verbose logs to New Relic
    • Lab: Changing FluentD configuration to output to New Relic
    • Extra Lab: Kubernetes log integration
  • Create custom charts, dashboards, and alerts from log data
    • Lab: Visualize your log data directly from the Logs UI
    • Lab: Creating custom rules to filter or drop log data
  • Lucene query syntax, filtering, and faceting in New Relic One
    • Lab: Query practice 
  • Configuring logs in Context with an APM agent
    • Lab: Troubleshooting an application with context 
  • Knowledge Check and Takeaways

 

Live events

Maximizing Observability with New Relic Logs

Event Date Spaces left
Maximizing Observability with New Relic Logs 112
Maximizing Observability with New Relic Logs 137