Scaling real-time file monitoring with eBPF: How we filtered billions of kernel events per minute | Datadog

Datadog was named a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms. The announcement positions Datadog as a provider of broad, integrated monitoring across infrastructure, applications, logs, security, digital experiences, software delivery, and AI. The supplied content does not include Gartner’s evaluation details or the blog post’s supporting arguments.

Recognition and Positioning

• Datadog highlights its designation as a Leader in the Gartner Magic Quadrant for Observability Platforms.
• The announcement emphasizes Datadog’s unified observability platform rather than a single monitoring product.

Breadth of the Platform

• Infrastructure: infrastructure, container, network, serverless, GPU, storage, and cloud-cost monitoring.
• Applications and data: APM, database monitoring, continuous profiling, data-stream monitoring, and job monitoring.
• Logs and observability operations: log management, sensitive-data scanning, audit trails, and observability pipelines.
• Security: cloud security, SIEM, workload protection, code security, vulnerability management, and application/API protection.
• Digital experience: browser and mobile RUM, session replay, synthetic monitoring, product analytics, and error tracking.
• Software delivery and service management: CI visibility, testing, feature flags, incident response, SLOs, workflow automation, and case management.
• AI capabilities: agent observability, GPU monitoring, AI integrations, Bits AI agents, and investigation tools.

Overall, the available material presents Datadog’s Gartner Leader recognition and extensive product coverage, but it does not provide enough article text to summarize the specific reasoning behind the designation.