Datadog, Inc.

London, UK — 16 July 2026 — Datadog, Inc. (NASDAQ: DDOG), the leading AI-powered observability and security platform for cloud applications, announced it has launched its products and services on the Amazon Web Services (AWS) Europe (London) Region.This gives Datadog’s customers and partners additional options to store observability and security data within the UK, with lower latency and streamlined incident response for greater operational resilience. It also supports customers as they navigate evolving data governance and compliance considerations, while maintaining unified visibility across cloud, hybrid, and AI environments.

NEW YORK – Datadog, Inc. (NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced it has been named a Leader in the Gartner Magic Quadrant for Observability Platforms, 2026. This is the sixth consecutive year Gartner has positioned Datadog as a Leader in the Magic Quadrant.Datadog was positioned highest in Ability to Execute in the 2026 Gartner® Magic Quadrant™ for Observability Platforms.“We believe being recognized as a Leader for the sixth consecutive year reflects the depth of investment Datadog has made in helping teams navigate the complexity of building AI- and LLM-powered applications,” said Yanbing Li, Chief Product Officer at Datadog. “Datadog invests more than $1 billion in R&D (non-GAAP) annually — from contributions to OpenTelemetry and OpenLineage to the capabilities we ship every day — because our customers need answers, not more complexity.”

NEW YORK – Datadog, Inc. (NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced it has acquired Adaptive ML, a frontier AI startup developing the world’s first Reinforcement Learning Operations (RLOps) platform, enabling enterprises to build, own, and deploy their own specialized agents and models.Adaptive ML will join Datadog AI Research, accelerating Datadog’s investment and research efforts around world models and agentic LLM post-training for observability. Datadog AI Research focuses on fundamental technical problems and collaborates with Datadog’s product and engineering teams to translate research advances into products.

NEW YORK – Datadog, Inc., (NASDAQ: DDOG), the leading AI-powered observability and security platform, today unveiled its latest capabilities and technologies at DASH, the company’s annual event where it launches new features and rolls out key integrations focused on driving autonomy and reducing complexity in an industry facing rapid AI-driven transformation.“AI has created new operational challenges where code development has outpaced human-scale management and malicious actors now use AI to attack critical systems. But AI didn’t create this complexity — it accelerated what was already there. The companies that win on AI won’t just build better models, they’ll build operational control around them,” said Olivier Pomel, co-founder and CEO at Datadog.

NEW YORK – Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced it has achieved FedRAMP (Federal Risk and Authorization Management Program) High certification, which signifies Datadog’s ability to meet one of the federal government’s most stringent cloud security and compliance standards.FedRAMP High certification is the top security baseline offered by FedRAMP, designed to protect some of the most sensitive and controlled unclassified information (CUI) government data in cloud environments. It enforces strict security controls to ensure the confidentiality, integrity and availability of critical information. A significant number of federal agencies require FedRAMP High certification for systems handling sensitive data with a high impact in case of a security breach. This level is essential for agencies managing critical information, such as law enforcement and emergency services.

NEW YORK – Datadog, Inc., (NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced that GPU Monitoring is available to customers everywhere. The new product addresses one of the most prevalent issues facing organizations today as they look for a scalable and effective way to manage expanding AI costs.“GPU instances account for 14 percent of compute costs—which is a huge issue as companies are struggling to build AI-first technology in scalable and smart ways. While these companies can see their costs climbing, they can’t chargeback GPU spend across business units, see workload context or identify clear next steps for improvement. As a result, it is very challenging to budget and plan in thoughtful ways,” said Yanbing Li, Chief Product Officer at Datadog.

NEW YORK — As AI adoption accelerates, operational complexity – not model intelligence – is becoming the primary barrier to reliable AI at scale, according to new data from Datadog, Inc. (NASDAQ: DDOG), the AI-powered observability and security platform.Datadog’s State of AI Engineering 2026 report, based on real-world data from thousands of organizations running AI in production, highlights a compounding complexity challenge as AI systems scale. Nearly seven in ten companies (69%) now use three or more models alongside increasingly complex agent workflows. Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits – leading to slowdowns, errors, and broken experiences in AI-powered applications.

NEW YORK — Datadog, Inc. (NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced that Datadog Experiments is available to customers everywhere. The new product enables teams to design, launch, and measure product experiments and A/B tests directly within the Datadog platform—giving teams the data and insights they need to understand how every change affects user behavior, application performance and business outcomes.Modern product teams rely on experimentation to validate new features and optimize user experiences. However, today’s tools are disconnected from business data systems, forcing teams to stitch together multiple solutions—such as a product analytics vendor, a standalone experimentation platform and a monitoring tool—creating fragmented workflows and blind spots between product changes and application performance. This gap becomes even more pronounced as AI accelerates feature development and release velocity.

NEW YORK – Datadog, Inc. (NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced that Bits AI Security Analyst is available to customers everywhere. As part of Datadog’s Cloud SIEM, the AI agent reduces investigations that can take analysts hours down to as little as 30 seconds.Security Operations Center (SOC) analysts are already struggling to keep pace with investigations and agentic-powered attacks have compounded the problem, further straining security teams. These factors have made it impossible for humans alone to reliably investigate, triage and remediate all security threats.

London, UK – Datadog, Inc., (NASDAQ: DDOG), the AI-powered observability and security platform for cloud applications, today announced plans for a new UK data centre presence. The move will support UK organisations as cloud adoption accelerates across regulated industries and as data governance and security requirements continue to evolve. The launch adds to Datadog’s existing service locations in North America, Asia and Europe.The new UK data centre presence expands Datadog’s ability to support its customers and partners that require local storage of operational data in the UK. By keeping data in-region, organisations can also reduce latency and use Datadog’s full observability and security platform from a single UK-resident environment. This capability is crucial for companies operating in regulated environments such as government, banking, healthcare and higher education.