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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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Forrester’s new Wave report and the consolidation of monitoring
Michael Yamnitsky · 2019-04-26 · via Datadog | The Monitor blog
Michael Yamnitsky

Michael Yamnitsky

We’re thrilled to share that Datadog has been recognized by Forrester Research as a Leader in its report, The Forrester Wave™: Intelligent Application And Service Monitoring, Q2 2019.

Unlike previous industry analyst reports, which focused specifically on application performance or IT operations, this report gives a nod to the changing landscape, where customers want to have a unified view across all components of their software for faster problem detection and diagnosis. According to the report:

Previous generations of monitoring tools often focused on specific silos within the application or infrastructure environment… To meet rising customer expectations, operations leaders need new monitoring technologies that can provide a unified view of all components of a service, from application code to infrastructure.

In Datadog’s vendor profile, Rich Lane, Senior Analyst at Forrester Research and author of the report, wrote:

A unified dashboard keeps the practitioner in-context when troubleshooting performance issues… Customers noted that the solution (Datadog) gives them far greater visibility than previously deployed tools, allowing staff members, armed with precise troubleshooting data, to react faster.

The next wave of unified monitoring

The IASM Wave validates for us what we see in the field—a rising tide of consolidation in monitoring. As enterprises become more digital and agile, there is an acute focus on detecting and solving application issues quickly. To meet these new requirements, development and operations teams are at various stages of integrating or retiring single-purpose monitoring tools in favor of unified platforms.

For this report, Forrester evaluated 13 Intelligent Application and Service Monitoring (IASM) vendors across three main categories: current offering, strategy, and market presence. Datadog scored highest among all vendors in the strategy category. And in the time since the Forrester evaluation back in the fall of 2018, we have been hard at work delivering on our strategic goals. For example, this year we released Synthetics API Tests and Browser Tests to address our customers’ needs for monitoring user experiences. Looking forward, you can expect us to continue to push significant advances in this area.

Looking ahead

We are grateful to our customers who participated in this study and gave us their vote of confidence. We are committed to building a unified experience for our customers, and will continue to expand our service offerings to cover many adjacent areas that are important to them.

Upwards and onwards!