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Monitor OpenAI GPT application usage in New Relic

Monitor requests, tokens, and costs of GPT-3 and GPT-3.5 applications with New Relic to improve the performance of OpenAI ML models.

3 min read

Dan Holloran

Screenshot of a New Relic dashboard showing model performance metrics, data metrics, and feature distributions.

What is MLOps?

Learn about MLOps, a set of practices to increase the quality and simplify the management process of machine learning in large-scale production environments.

6 min read

Franz Knupfer

Data aggregation settings in New Relic

Sliding window aggregation: Refined control over alert monitoring

Learn how to use a new method for aggregating and alerting on erratic or infrequent signals including latency, traffic, errors, and saturation.

2 min read

Kai Rostcheck

New Relic FutureStack 2022 All-in-one observability platform for all

FutureStack 2022: Recapping our latest announcements

Learn about the product announcements unveiled at FutureStack 2022, our ultimate customer conference for software engineers and developers.

19 min read

Anna Alfano

Data lines

A recap of major product updates from the second half of 2021

Read about New Relic’s transformative innovations to troubleshoot and optimize any application and embed observability throughout the entire development lifecycle.

12 min read

Dayna Lord

New Relic Instant Observability additional quickstart integration partners December 2021

Partners in Instant Observability: Integrations for machine learning, Kubernetes, CI/CD

Learn about the latest partners contributing integrations to make observability a daily habit for engineers in CI/CD, Kubernetes testing, and MLOps platforms.

5 min read

Louis Leung

Blue interconnected lines

Extend full-stack observability to machine learning with model performance monitoring

New Relic is extending monitoring experience to AI and ML teams by providing data science and DevOps teams one place to visualize critical signals alongside apps and infrastructure

4 min read

Guy Fighel

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Monitor your ML models with New Relic and Amazon SageMaker

Use New Relic's integration with Amazon Sagemaker to make it easier to develop, test, and monitor ML models in production.

2 min read

Guy Fighel

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Optimize your machine learning model performance with New Relic and TruEra

New Relic has partnered with TruEra to help you easily track and troubleshoot machine learning model performance.

1 min read

Guy Fighel

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AIOps for all

AI-assisted incident response is now included for all full platform users at no additional cost. Take advantage of New Relic One's enhanced incidence response experience now.

2 min read

Guy Fighel

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Build machine learning models faster with New Relic One and Comet

Build machine learning models with the New Relic-Comet Integration.

3 min read

Guy Fighel

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Extend your machine-learning model observability with New Relic One and Mona

Gain complete visibility into your machine-learning models with New Relic's integration with Mona.

1 min read

Guy Fighel

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Automate machine-learning model monitoring with New Relic One and DAGsHub

Seamlessly combine experiment tracking and ML flow with visibility into model performance using New Relic One's integration with DAGsHub.

3 min read

Guy Fighel

bar chart

Gain model observability at scale with New Relic One and Superwise

Correlate machine-learning model and infrastructure alerts and investigate model performance with New Relic's Superwise integration.

4 min read

Guy Fighel

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Get full visibility into your machine-learning models with New Relic One and Aporia

Develop, test, and monitor your machine-learning models with New Relic One's new Aporia integration.

3 min read

Guy Fighel

Developer working on computer

Monitor the security of your AWS environment with GuardDuty, CloudTrail, and New Relic One

Learn how to send notifications from AWS GuardDuty to New Relic in just a few minutes.

5 min read

Daniel Fitzgerald

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How We Created a Heartbeat Test for Monitoring Incident Intelligence

Learn how New Relic engineers created a heartbeat test using New Relic One to internally monitor New Relic's Incident Intelligence product.

3 min read

Shy Peleg

monitoring_api

Expand Your Alert Coverage With Recommended Conditions

Use machine learning (ML) recommendations to easily set up alerts in your production applications. The recommendations will make suggestions both on alert conditions and on thresho

5 min read

Aya Bellicha

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Next Gen AIOps: Expanded Anomaly Detection, Issue Maps, and More

Learn about new AIOps features announced at FutureStack, including expanded anomaly detection, easier alerting, issue maps, and AI-recommended dashboards.

5 min read

Annette Sheppard

Detect, Diagnose, and Mitigate Issues Faster With Next Gen AIOps

Nerdlog Roundup: Detect, Diagnose, and Mitigate Issues Faster with Next-Gen AIOps

Get a quick recap of a FutureStack 2021 product announcement on Next-Gen AIOps.

2 min read

Dayna Lord

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