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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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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

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In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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