Datadog surpasses 1,000 integrations, boosting AI observability
Datadog has announced that it has surpassed 1,000 integrations on its unified observability and security platform.
This development highlights Datadog's expanding coverage across a diverse technology landscape, encompassing cloud services, software as a service (SaaS), security tools, and artificial intelligence (AI) infrastructure including NVIDIA GPU monitoring, vector databases, and large language models such as those offered by OpenAI and Anthropic.
The milestone establishes Datadog among a select group of platforms that provide comprehensive, end-to-end visibility across technology stacks, including emerging and fast-evolving AI workloads. Customers such as Forbes and partners including Google Cloud are reported to utilise Datadog's integration capabilities in order to ensure reliability and transparency as new services and advanced AI deployments are introduced.
Platform growth
According to Datadog, reaching the milestone of 1,000 integrations is indicative of its ongoing expansion and the ability of its platform to facilitate observation and analysis across a broad spectrum of technologies and infrastructures.
"Reaching this milestone of 1,000 integrations exemplifies Datadog's commitment to meeting our customers wherever their cloud journeys take them," said Yanbing Li, Chief Product Officer at Datadog. "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."
Over the past year, Datadog has introduced numerous integrations supporting AI infrastructure and tools. These include monitoring for NVIDIA GPUs, integration with vector databases such as Weaviate, and connectivity to large language model providers including OpenAI and Anthropic. The company states these integrations enable users to monitor, secure, and optimise AI workloads with the same depth and accuracy as the rest of their IT estate.
Customer perspective
Organisations report that the breadth of Datadog's integrations supports implementation of contemporary platforms and services. Customers indicate that such capabilities are important for maintaining robust, reliable, and secure technological environments amidst continual change in infrastructure and service requirements.
"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, Senior VP of Technology at Forbes. "That visibility helps us deliver reliable and secure digital experiences to our global audience."
Technology partners are also contributing to the integrations ecosystem, expanding its utility and helping customers observe both established and newly introduced technologies within a consistent workflow. The single pane of glass approach supports a consolidated view for observability and security operations.
Partner collaboration
Datadog collaborates with cloud infrastructure and technology partners to offer integrations that enable customers to monitor and manage new technology environments as they are adopted.
"Partnering with Datadog ensures Google Cloud customers maintain complete visibility across their environments, even as they adopt new services," said Ritika Suri, Managing Director, AI & Data Partnerships at Google Cloud. "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."
The integration count includes categories spanning traditional infrastructure, public cloud, platform as a service (PaaS), SaaS, security services, and emerging AI platforms, reflecting Datadog's position within the observability and security sector.
Datadog's platform seeks to support organisations as they undertake digital transformation initiatives, migrate to the cloud, and deploy AI-based processes by offering unified security and observability across various technological domains.
