Datadog announced a new integration that monitors OpenAI API usage patterns, costs and performance for various OpenAI models, including GPT-4 and other completion models.
Datadog's observability capabilities simplify the process of data collection through tracing libraries so that customers can easily and quickly start monitoring their OpenAI usage.
As adoption of OpenAI's newest generative AI model scales and more teams within organizations experiment with ChatGPT, the ability to understand user interactions with GPT-powered applications is vital for identifying opportunities to fine-tune models and enhance user experiences. Monitoring usage of the API and token consumption is also essential in controlling spend and improving application performance. By providing actionable insights into the API's usage, latency and costs, organizations will be able to use AI models more effectively so that they can focus on what matters most—improving day-to-day operations and innovating on products and services.
Datadog's integration with OpenAI enables organizations to:
- Understand Usage: With an easy setup process, users can quickly realize comprehensive insights into overall OpenAI usage of APIs, token consumption and costs split by service, teams and API keys with Datadog's out-of-the-box dashboards. Preconfigured out-of-the-box alerts also help users stay on top of OpenAI API rate limits.
- Optimize Performance: By tracking API error rates, rate limits and response times, Datadog allows users to identify and isolate application performance issues from API performance issues. Furthermore, users can view their traces and logs containing prompt and completion examples to understand key application bottlenecks and user behaviors.
- Track Costs: Users can review token allocation and analyze the associated costs of OpenAI API calls. Datadog offers insights into token allocation by model, service and organization to help teams manage their expenses more effectively and avoid unexpected bills.
- Cover Multiple AI Models: In addition to covering the GPT family of large language models, Datadog's integration enables organizations to track performance, costs and usage for other OpenAI models, including Ada, Babbage, Curie and Davinci.
"ChatGPT has become a powerful tool for software development, content creation and more. As users continue to experiment with AI models, teams across an organization—from engineering and marketing to legal and finance—need the ability to understand how the models are performing and how much time, money and resources users are dedicating to OpenAI models," said Yrieix Garnier, VP of Product at Datadog. "Datadog's integration with ChatGPT provides out-of-the-box dashboards users can leverage to monitor for rate limits and track internal usage patterns, costs and API performance, so that they can get a clear picture of ChatGPT allocation and consumption throughout the organization."
The Latest
As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...
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 ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
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 ...
