Introducing Glommio, a thread-per-core crate for Rust and Linux | Datadog (opens in new tab)

Datadog has been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms. The announcement positions Datadog as a broad observability provider spanning infrastructure, applications, logs, security, digital experience, software delivery, service management, and AI. The supplied content contains mostly site navigation rather than the article’s supporting details or Gartner’s evaluation rationale.

Datadog’s Observability Scope

• Infrastructure monitoring, metrics, containers, Kubernetes, networks, serverless systems, cloud costs, GPUs, and storage.
• Application performance monitoring, service monitoring, profiling, dynamic instrumentation, and agent observability.
• Log management, sensitive-data scanning, audit trails, and observability pipelines.
• Database, data-streams, data-quality, and jobs monitoring.

Broader Platform Capabilities

• Security features including cloud security, SIEM, workload protection, code security, vulnerability management, and compliance.
• Digital-experience tools such as real-user monitoring, session replay, synthetic monitoring, error tracking, and product analytics.
• Software-delivery capabilities covering CI visibility, test optimization, continuous testing, code coverage, and feature flags.
• Service-management tools for incidents, events, SLOs, workflows, case management, and software catalogs.
• AI offerings including Bits AI agents, investigation tools, agent observability, GPU monitoring, and MCP integrations.

Overall, the announcement emphasizes Datadog’s unified and expansive observability platform. A complete assessment of Gartner’s specific strengths, cautions, and evaluation criteria would require the full blog post or linked Gartner report.