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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - 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Datadog named a Leader in first ever 2024 Gartner® Magic Quadrant™ for Digital Experience Monitoring
2024-10-24 · via Datadog | The Monitor blog
Yanbing Li

Yanbing Li

We are thrilled to announce that Datadog has been named a Leader in the first ever 2024 Gartner® Magic Quadrant™ for Digital Experience Monitoring. Datadog was positioned the highest in its Ability to Execute. We believe this placement reflects our commitment to being an end-to-end observability platform that brings together all signals from across your tech stack into a unified ecosystem.

Gartner, Magic Quadrant for Digital Experience Monitoring, Padraig Byrne, Matt Crossley, DB Cummings, Martin Caren, Pankaj Prasad, October 2024
Datadog named a Leader in the Magic Quadrant report
Gartner, Magic Quadrant for Digital Experience Monitoring, Padraig Byrne, Matt Crossley, DB Cummings, Martin Caren, Pankaj Prasad, October 2024

Datadog’s unified observability and security platform breaks down organizational silos and enables frontend, business, DevOps, SRE, and security teams to understand, observe, and optimize critical user journeys. With deep visibility into user interactions and application performance, you can ensure high-quality digital experiences across all touchpoints.

  • Real User Monitoring (RUM) and Session Replay capture user interactions and performance data across web and mobile, providing session recreations for seamless, end-to-end troubleshooting from frontend to backend.
  • Synthetic Testing & Monitoring offers no-code tests of user interactions across web and mobile applications, while API and other tests proactively detect issues in key workflows and endpoints before they affect your users.
  • Continuous Testing integrates synthetic tests directly into your CI pipelines to catch issues early, ensuring your applications are issue-free before reaching end users.
  • Error Tracking automatically groups and surfaces critical errors to enable rapid issue resolution across your entire technology stack for more efficient troubleshooting.
  • Watchdog, Datadog’s AI engine, provides automated alerts, insights, and root cause analyses that draw from observability data across the entire Datadog platform for faster resolution and improved user experiences.
  • Product Analytics helps prioritize product development decisions with quantitative insights into user experiences and behavior.
  • Application Performance Monitoring (APM) and Service Catalog integrate seamlessly with RUM to provide a comprehensive view of your application, enhancing collaboration, incident management, and real-time insights with end-to-end service ownership.

Datadog’s Digital Experience Monitoring tools provide actionable insights into user experience, enabling organizations like QAD Redzone, which uses Datadog Synthetic Monitoring, to ensure seamless and reliable digital performance.

“We can create tests without writing any code, easily debug issues with step-by-step screenshots for each test run, and have all of our end-to-end testing in one place, which makes it easy to bring more people into the testing process,” said Ronald Davis, SVP of Product Engineering at QAD Redzone.

We believe that customer feedback is a core aspect of analyst reports, and we feel that our recognition reflects the value that Datadog delivers to our users today along with our future investments across the platform. We are providing deeper insights and proactive issue resolution through innovations such as AI-driven impact analysis in RUM, a curated Product Analytics experience to remove silos between observability and business data, and advanced native support for an increasingly mobile-first world.

This is just the start, and we’re excited to push the boundaries of digital experience monitoring, fueled by the feedback and support of our incredible customers.

Complete the form to read a complimentary copy of the report.

Thank you!

If you are a Datadog customer and would like to share your experience, you can share your review on Gartner Peer Insights™ here.

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