Instant Observability Machine learning ops Machine learning ops Categories All Amazon Web Services Application monitoring Azure Browser & mobile Generative AI/LLM Google Cloud Platform Infrastructure & OS Kubernetes & containers Logging Machine learning ops Notifications Open source monitoring Prometheus Security Simulate traffic Categories All Amazon Web Services Application monitoring Azure Browser & mobile Generative AI/LLM Google Cloud Platform Infrastructure & OS Kubernetes & containers Logging Machine learning ops Notifications Open source monitoring Prometheus Security Simulate traffic First Step Guided Install Install an agent with a single command and start monitoring your logs and infrastructure data in real time. Install Now Image Aporia Aporia’s integration with New Relic enables data scientists and ML engineers to receive a combination of custom and smart alerts integrated cross-platform, providing a broader picture of the ML infrastructure and an easier, quicker way to resolve issues. Image Build your own ML Integration Bring your own data from any kind of ML stack with this flexible integration framework to keep your data-science projects on track. Image Comet Together, Comet and New Relic extend infrastructure observability to include your machine learning models in production, so you can build better models faster. Image DagsHub Integrating DagsHub and New Relic enables you to analyze and monitor machine learning training metrics in real-time. You can visualize your metrics in a New Relic dashboard, create custom metrics and set alerts to notify you of events and incidents happening during your training runs. Image Google JAX Use New Relic quickstart to monitor and analyze your Google JAX models. Image Keras Boost the performance of your Keras models by integrating with New Relic, providing comprehensive monitoring and optimization for the entire inference process. Image LightGBM Use New Relic quickstart to monitor and analyze your LightGBM models. Image Mona Labs Mona’s integration with New Relic provides next-level monitoring capabilities under a unified production AI environment. Image PyTorch Use New Relic quickstart to monitor and analyze your PyTorch models. Image Ray Identify and optimize Ray performance with New Relic Ray monitoring. Image scikit-learn Use the New Relic scikit-learn quickstart to improve the performance of your scikit-learn. Image TensorFlow Use New Relic quickstart to monitor and analyze your TensorFlow models. Image Truera Monitoring TruEra with New Relic provides real-time insights into model performance, enabling proactive optimization and ensuring the reliability and accuracy of AI models, ultimately enhancing business outcomes and customer satisfaction. Image XGBoost Use New Relic quickstart to monitor and analyze your XGBoost models.
