Following OpenTelemetry’s CNCF graduation, Datadog is expanding its support for OTel-native observability by enabling vendor-neutral data ingestion via standard OTLP exporters and …
Datadog’s Bits Chat Cloud Cost skill introduces a conversational interface that allows FinOps and engineering teams to manage cloud, AI, and SaaS expenditures using plain language.…
Datadog engineers have developed a specialized set of security tools for the Model Context Protocol (MCP) Server to help AI agents assist with complex Cloud SIEM tasks, such as sig…
Datadog has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms, marking its sixth consecutive year of recognition and ranking highest in "Ability …
Datadog’s Google Cloud Apigee X integration unifies API management metrics, such as proxy latency and security posture, with broader Google Cloud infrastructure telemetry to stream…
This article examines how compounding token costs in agentic AI systems are driven by large tool schemas, accumulating session histories, and redundant retrieval loops. To mitigate…
Datadog has launched an official .NET MAUI SDK to provide a supported, reliable solution for monitoring cross-platform mobile applications. The SDK automates essential features lik…
Datadog AI Guard now features a plugin for AWS Strands Agents that provides real-time security by evaluating prompts, responses, and tool interactions within the agent loop. This i…
Datadog’s DASH 2026 event in New York City brought together thousands of technology professionals to explore the future of observability, security, and AI-driven operations. The co…
Datadog is enhancing its Static Code Analysis tool with "agentic evaluation" and "Bits Memories" to reduce the high volume of false positives common in traditional SAST tools. Agen…
Datadog RUM has expanded its support to include Apple’s watchOS and visionOS, providing developers with much-needed observability for these growing platforms. By leveraging the exi…
The article argues that successful experimentation requires understanding the "effect distribution"—the true underlying impact of all product changes—rather than relying solely on …