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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 the Forrester Wave™: AIOps Platforms, Q2 2025
2025-04-15 · via Datadog | The Monitor blog
Yanbing Li

Yanbing Li

We are thrilled to announce that Datadog has been named a Leader in the Forrester Wave™: AIOps Platforms, Q2 2025. We believe this placement reflects Datadog’s commitment to offering an AI-driven platform that enables customers to observe and secure systems, orient teams, and take action in one place.

Datadog named a Leader in the Forrester Wave™: AIOps Platforms, Q2 2025

Datadog sits within your most critical workflows, processing trillions of telemetry data points every hour through your alerts, service maps, teams, on-call schedules, and more. We enrich this with your unstructured semantic data from chat conversations, call transcripts, documentation, code, and other sources for vital context into your systems.

Using generative AI and machine learning across all of this information, Datadog provides a comprehensive understanding of what’s happening in your systems, why it’s happening, and how your DevOps and business teams can solve problems together. Datadog helps you accelerate decision-making and operations to improve performance, reliability, and security through its:

  • Platform AI engine that automatically surfaces performance problems in your applications without any manual setup or configuration
  • Agentic AI that uses complex reasoning to connect the dots between data, context, and teams, helping you get from alert to root cause and fix within minutes, rather than hours
  • Event correlation that centralizes and groups third-party alerts, events, and changes, eliminating redundancy and intelligently correlating them to provide actionable insight contextualized with related telemetry so the right teams can focus on what matters most
  • Automation that allows you to take action on your systems immediately, from responding to minor disruptions before they turn into major incidents to building custom apps that enable teams to provision, manage, and scale best practices proactively

With Datadog’s unified monitoring and AIOps features powered by generative AI and automation capabilities, you benefit from a single platform for observability, security, and remediation. This enables organizations like Tecsys to reduce mean time to resolution, spend less time on normalization and centralization of third-party data, and consolidate tools with a single platform.

“With Datadog’s Event Management, we’ve fundamentally changed how we correlate alerts by cutting through the noise and reducing redundancy. Now, instead of grappling with multiple incidents from the same root cause, we get one consolidated incident in our incident management tool. This streamlined approach has transformed our operations by simplifying the work of our Site Reliability Engineers and reducing our alert incidents by 69 percent,” said Martin Côté, VP and Head of Infrastructure at Tecsys.

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

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Thank you!

The Forrester Wave™ Disclaimer: Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.