New Relic's AI monitoring is designed to provide comprehensive visibility across the AI stack, which includes applications built with DeepSeek. This capability can indeed help in identifying bottlenecks in DeepSeek applications by offering several key features:
1. Full AI Stack Visibility: New Relic provides a holistic view across the application, infrastructure, and the AI layer. This includes metrics such as response times, token usage, and error rates, which are crucial for identifying performance bottlenecks in AI applications like those built with DeepSeek[1][4].
2. Deep Trace Insights: The platform offers detailed tracing capabilities that allow developers to track the lifecycle of complex AI responses. This feature is particularly useful for troubleshooting performance issues in DeepSeek models by analyzing how inputs are processed and outputs are generated[7].
3. Real-Time Insights: New Relic's AI monitoring offers real-time insights across the AI stack, spanning services, infrastructure, and the AI layer. This ensures efficient, reliable, and cost-effective operations by providing comprehensive metrics on throughput, latency, and costs[2][6].
4. Model Comparison: The platform allows for model comparison, enabling developers to assess the performance impacts when switching between AI models. This feature is beneficial for optimizing DeepSeek applications by selecting the most efficient models based on performance and cost metrics[5][9].
5. Enhanced Data Security: New Relic's monitoring includes features like drop filters that allow selective exclusion of sensitive data types, ensuring compliance and protecting user privacy. This is important for maintaining trust in AI applications while troubleshooting bottlenecks[1].
6. Reliability Assurance and Quality: By providing full visibility into DeepSeek-powered AI application performance, New Relic helps businesses quickly identify and resolve issues. This reliability assurance is critical for maintaining high-quality AI services and addressing bottlenecks promptly[2][6].
Overall, New Relic's AI monitoring is well-equipped to help identify and address bottlenecks in DeepSeek applications by offering a comprehensive set of tools for performance optimization, model selection, and real-time monitoring.
Citations:
[1] https://docs.newrelic.com/whats-new/2024/03/whats-new-03-28-aimonitoringga/
[2] https://theexchangeasia.com/new-relic-unveils-first-ever-ai-observability-for-deepseek/
[3] https://newrelic.com/blog/how-to-relic/deploy-deepseek-models-locally-and-monitor-with-new-relic-ai-monitoring
[4] https://newrelic.com/blog/how-to-relic/ai-in-observability
[5] https://newrelic.com/press-release/20250203
[6] https://ecommercenews.com.au/story/new-relic-unveils-ai-monitoring-for-deepseek-applications
[7] https://newrelic.com/blog/nerdlog/ai-monitoring-ga
[8] https://www.computerweekly.com/news/366618774/New-Relic-extends-observability-to-DeepSeek
[9] https://newrelic.com/platform/ai-monitoring
