Releasing czlib and zstd Go bindings | Datadog

Datadog announces that it has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms. The surrounding content presents Datadog as a broad platform spanning infrastructure, applications, data, logs, security, digital experience, software delivery, service management, and AI. The provided excerpt does not include Gartner’s detailed evaluation or the reasoning behind the placement.

Gartner Recognition

• Datadog highlights its designation as a Leader in the Gartner Magic Quadrant for Observability Platforms.
• The announcement links to a Gartner-related resource for additional details.

Broad Observability Platform

• Infrastructure: Infrastructure and container monitoring, metrics, Kubernetes autoscaling, network monitoring, serverless, cloud costs, storage, GPUs, and Cloudcraft.
• Applications: Application Performance Monitoring, service monitoring, continuous profiling, dynamic instrumentation, and agent observability.
• Data and logs: Database and data-stream monitoring, data quality, jobs monitoring, log management, sensitive-data scanning, audit trails, and observability pipelines.
• Security: Code, cloud, workload, application, API, vulnerability, compliance, SIEM, and secret-scanning capabilities.
• Digital experience: Browser and mobile RUM, product analytics, session replay, synthetic monitoring, mobile testing, and error tracking.
• Software delivery and service management: CI visibility, test optimization, code coverage, feature flags, internal developer portals, incident response, SLOs, workflow automation, and case management.
• AI: GPU monitoring, AI integrations, agent observability, AI-powered investigation and chat, agent builders, MCP support, and related developer tools.

Platform Capabilities

• Datadog also emphasizes shared platform features such as dashboards, notebooks, alerts, Watchdog, access control, governance, fleet automation, and mobile access.
• The product organization suggests an integrated approach to monitoring systems, applications, user experiences, security, delivery pipelines, and AI workloads.

Datadog’s positioning is that observability increasingly requires a unified platform rather than isolated monitoring tools. Readers seeking the specific strengths, limitations, and evaluation criteria behind the Gartner designation would need to consult the linked Gartner resource.