Introducing the Nerdlog: Because software releases should be fun

We know you’re working hard. You don’t have time to sift through marketing announcements to understand the latest features and changes. In addition to What’s New, we wanted another way to ensure you and your teams stay informed about the newest and most essential New Relic One changes and features. Thus, the Nerdlog was born.

Every Thursday at noon PT (8 p.m. UTC) on Twitch you can learn about the latest New Relic observability features from the people who built them, get resources and step-by-step instructions, and engage directly with New Relic product managers and engineers to provide feedback and ask questions. Missed last week’s Nerdlog episode? Read the recap below.

Reduce noise with linked incidents via the new ServiceNow integration

Senior Product Manager Shachar Brenner explored how you can keep your correlated issues in sync with their linked incidents in ServiceNow to reduce noise and increase context.

Using ServiceNow as a destination to push violation data into new ServiceNow incident tickets, Shachar showcased how you can respond to incidents faster and reduce the toil of managing incidents across multiple systems and tools.

To get started sending data to ServiceNow, follow these instructions to configure Incident Intelligence or go directly to New Relic One to add a destination.

Optimize speed, security, and costs with the New Relic Snowflake integration

Next, Senior Solutions Consultant Daniel Fitzgerald joined us to chat about how the New Relic Snowflake integration can help your teams optimize their Snowflake performance, security, and costs—whether that’s expensive queries, users running many queries, or warehouses that contribute the most to your bill.

Using New Relic Alerts and NRQL queries, Daniel showed us how you can use New Relic to monitor and alert on custom Snowflake data in real time to optimize costs and help detect and resolve warehouse performance issues and potential security issues.

To set up the Snowflake integration, follow the instructions on GitHub. If you don’t have an existing New Relic account, sign up for free today.

Use k6 load testing to manage performance in production

Finally, Solutions Architect Gary Spencer showed us how to make a load test successful, run load testing in production, find performance bottlenecks before going live, and interpret dashboards to accurately analyze load testing data.

Using k6 to send telemetry data to New Relic through the New Relic StatsD integration, Gary showcased how you can visualize and share k6 performance data, alongside your real user data and server-side performance data, in New Relic dashboards. You can also compare load impact with system performance and alert on metrics.

For more resources about k6 load testing and instructions on how to get started, check out the GitHub repo. You can also watch this 5-minute video. Interested in more performance management? See how we managed infrastructure projects and metrics with ZenHub.