Datadog has announced that it has reached 1,000 integrations on its unified observability platform.
The company stated that this milestone marks extensive observability coverage across infrastructure, cloud services, security platforms, SaaS applications, and AI technologies. Recent integrations have included monitoring for NVIDIA GPUs, as well as AI tools for vendors such as OpenAI and Anthropic.
The scale of Datadog's integrations ecosystem enables customers to observe mission-critical data and processes from a single platform. According to Datadog, the platform's reach now encompasses a broad spectrum of emerging technologies in addition to established systems.
Yanbing Li, Chief Product Officer at Datadog, highlighted the company's work with its partners and its investment in research and development.
"Reaching this milestone of 1,000 integrations exemplifies Datadog's commitment to meeting our customers wherever their cloud journeys take them," said Yanbing Li. "It also highlights the diversity of today's technology ecosystem, and reflects the strength of our continued investment in R&D and our partner community to bring even more value to our customers."
Datadog noted that, in the past year, it had launched a variety of integrations, spanning AI infrastructure and tooling. This includes enhancements for NVIDIA GPU monitoring, vector database systems such as Weaviate, and providers supporting large language models including OpenAI and Anthropic. The company indicated that these integrations are designed to provide customers with visibility, security, and optimisation for AI workloads within the broader context of their technology environments.
Forbes is among the organisations using Datadog's platform. Sameer Patwardhan, Senior Vice President of Technology at Forbes, commented on the importance of integration breadth for operational needs.
"Datadog's breadth of integrations ensures we have end-to-end visibility as we adopt new platforms, from cloud services to AI-driven applications," said Sameer Patwardhan. "That visibility helps us deliver reliable and secure digital experiences to our global audience."
The integration ecosystem is supported by technology partners, who contribute connectors that extend compatibility to new and emerging software and infrastructure. Datadog said that this approach allows customers to monitor a range of technologies, both established and emerging, through unified observability and security.
Ritika Suri, Managing Director for AI & Data Partnerships at Google Cloud, commented on the relationship between Datadog and Google Cloud customers:
"Partnering with Datadog ensures Google Cloud customers maintain complete visibility across their environments, even as they adopt new services," said Ritika Suri. "We're excited to continue working with Datadog to provide customers with the observability they need as they expand into areas like AI and beyond."
Datadog said that its integrations support a wide range of organisations, aiming to give them the tools to monitor and secure different elements of their digital infrastructure. As new integrations are added, the company expects its platform to support further cloud adoption and AI-driven projects among its customer base.
