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New Relic Announces Observability Integration with DeepSeek

New Relic announced an observability solution for monitoring DeepSeek to help customers reduce the complexity and costs of developing, deploying, and monitoring generative AI (GenAI) applications. 

New Relic supports DeepSeek and DeepSeek on Microsoft Azure AI Foundry. Now, customers can use New Relic AI monitoring to gain broad visibility across the AI stack for applications built with DeepSeek, all with a simplified setup and enhanced data security. This complements the cost efficiency and improved reasoning ability of DeepSeek’s open-source models, which make AI more accessible and accelerate AI innovation. Together, New Relic integrated with DeepSeek can help customers adopt AI faster and achieve quicker ROI.

New Relic offers an expansive, real-time view of the AI application stack—across services, infrastructure, and the AI layer—to ensure efficient, reliable, and cost-effective operations.

“There are a steady release of new models like DeepSeek, Alibaba’s Qwen2.5-Max, and more, and organizations cannot afford to make the wrong AI implementation decisions in today’s hyper-competitive market,” said New Relic CEO Ashan Willy. “Observability solves this challenge by providing visibility across the AI stack. We are pioneering AI observability and extending our platform to include AI apps built with DeepSeek so enterprises can make the right decisions on which AI models to deploy and where to use them. Combining DeepSeek’s cost-effective AI models with our expertise in observability and APM gives enterprises a competitive edge in the AI race."

New Relic AI monitoring provides a broad view of the AI stack, along with key metrics on throughput, latency, and costs while supporting customers’ data privacy needs. It also traces the request flows across services and models to understand the inner workings of AI apps. New Relic AI Monitoring offers comprehensive monitoring for DeepSeek models, creating a powerful ecosystem that simplifies AI integration and addresses the growing challenge businesses face in selecting and optimizing AI models for their applications, particularly as the market becomes increasingly saturated and cost-prohibitive. By combining New Relic's advanced monitoring capabilities with DeepSeek's high-performance, cost-effective models, we are pushing the boundaries of AI innovation. This solution empowers businesses of all sizes to confidently adopt and optimize AI technologies, driving growth and maintaining a competitive edge in an increasingly AI-driven marketplace.

Benefits include:

  • Reliability assurance and quality: Gain full visibility into DeepSeek-powered AI app performance with New Relic to quickly identify and resolve issues.
  • Optimize AI Costs: Leverage New Relic and cost-effective DeepSeek to reduce AI development costs with insights into the token usage.
  • Switch models with confidence: With New Relic’s unique model comparison features, clearly see the impact on app performance and token usage when switching between models.
  • Accelerate Innovation: Use New Relic's AI monitoring and DeepSeek's open models to drive faster innovation and AI deployments. 

This integration follows New Relic AI monitoring’s recent integrations with Nvidia NIM and Amazon Bedrock. New Relic offers the most expansive observability solution with 60+ AI integrations including OpenAI, Claude, Langchain, and Pinecone.

New Relic AI monitoring is available as part of its all-in-one observability platform and offered via its usage-based pricing model.

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New Relic Announces Observability Integration with DeepSeek

New Relic announced an observability solution for monitoring DeepSeek to help customers reduce the complexity and costs of developing, deploying, and monitoring generative AI (GenAI) applications. 

New Relic supports DeepSeek and DeepSeek on Microsoft Azure AI Foundry. Now, customers can use New Relic AI monitoring to gain broad visibility across the AI stack for applications built with DeepSeek, all with a simplified setup and enhanced data security. This complements the cost efficiency and improved reasoning ability of DeepSeek’s open-source models, which make AI more accessible and accelerate AI innovation. Together, New Relic integrated with DeepSeek can help customers adopt AI faster and achieve quicker ROI.

New Relic offers an expansive, real-time view of the AI application stack—across services, infrastructure, and the AI layer—to ensure efficient, reliable, and cost-effective operations.

“There are a steady release of new models like DeepSeek, Alibaba’s Qwen2.5-Max, and more, and organizations cannot afford to make the wrong AI implementation decisions in today’s hyper-competitive market,” said New Relic CEO Ashan Willy. “Observability solves this challenge by providing visibility across the AI stack. We are pioneering AI observability and extending our platform to include AI apps built with DeepSeek so enterprises can make the right decisions on which AI models to deploy and where to use them. Combining DeepSeek’s cost-effective AI models with our expertise in observability and APM gives enterprises a competitive edge in the AI race."

New Relic AI monitoring provides a broad view of the AI stack, along with key metrics on throughput, latency, and costs while supporting customers’ data privacy needs. It also traces the request flows across services and models to understand the inner workings of AI apps. New Relic AI Monitoring offers comprehensive monitoring for DeepSeek models, creating a powerful ecosystem that simplifies AI integration and addresses the growing challenge businesses face in selecting and optimizing AI models for their applications, particularly as the market becomes increasingly saturated and cost-prohibitive. By combining New Relic's advanced monitoring capabilities with DeepSeek's high-performance, cost-effective models, we are pushing the boundaries of AI innovation. This solution empowers businesses of all sizes to confidently adopt and optimize AI technologies, driving growth and maintaining a competitive edge in an increasingly AI-driven marketplace.

Benefits include:

  • Reliability assurance and quality: Gain full visibility into DeepSeek-powered AI app performance with New Relic to quickly identify and resolve issues.
  • Optimize AI Costs: Leverage New Relic and cost-effective DeepSeek to reduce AI development costs with insights into the token usage.
  • Switch models with confidence: With New Relic’s unique model comparison features, clearly see the impact on app performance and token usage when switching between models.
  • Accelerate Innovation: Use New Relic's AI monitoring and DeepSeek's open models to drive faster innovation and AI deployments. 

This integration follows New Relic AI monitoring’s recent integrations with Nvidia NIM and Amazon Bedrock. New Relic offers the most expansive observability solution with 60+ AI integrations including OpenAI, Claude, Langchain, and Pinecone.

New Relic AI monitoring is available as part of its all-in-one observability platform and offered via its usage-based pricing model.

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One of the most misunderstood culprits of poor application performance is packet loss. Even minimal packet loss can cripple the throughput of a high-speed connection, making enterprise applications sluggish and frustrating for remote employee ... So, what's going wrong? And why does adding more bandwidth fail to fix the issue? ...

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Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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