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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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Host Maps just got better
2016-01-28 · via Datadog | The Monitor blog

Host Maps let you see all of your hosts together in one place, giving you a bird’s-eye view of your entire infrastructure. From that perch you can drill down into any segment of your infrastructure, with arbitrary aggregation and filtering. The best part about Host Maps is they help you understand your infrastructure at any scale, whether you have 10 hosts or 10,000.

An entire Availability Zone of hosts, colored by CPU utilization
Large host map
An entire Availability Zone of hosts, colored by CPU utilization

Since we released Host Maps last year, our engineering teams have added numerous enhancements to make Host Maps even more powerful and versatile. Here we’ll highlight four new features: a dashboard widget, three new color schemes, custom fill and size by metrics, and saved Host Maps.

To find the root cause of a performance issue, you’ll often need to look at the problem from multiple angles.

Now with the new dashboard widget, you can place Host Maps alongside the rest of your metrics, on any timeboard or screenboard.

Dashboard widgets

You can even combine custom fill metrics and filters to produce an embeddable Host Map of any slice of your infrastructure. In the screenshot above, the Backend Current Sessions Host Map widget displays: all HAProxy backends, aggregated by availability zone, colored by CPU load, and sized by current number of sessions.

Custom color schemes

Customizable color schemes

Colors have their own implied meanings when they are used to represent data. For example, green conveys good and red conveys bad much more than light blue and dark blue do, respectively. We’ve expanded our palette of color choices so you can choose the representation that makes the most sense for your data.

The new patterns are also color-blind friendly, specifically the Yellow/Green, Warm, and Cool patterns.

Fill and size by any metric

Arbitrary fill metrics

By default, the color of each host is set to represent the percentage of CPU usage on that host. Now you can configure your Host Maps to color by any metric you collect, whether it’s an out-of-the box metric from one of our integrations or a custom metric reported by one of your applications.

Want to see your busiest HAProxy backends? Just select haproxy.backend.session.current in the “Fill by” or “Size by” menu. You can even mix and match, using one metric for the fill and another for the size, like in the screenshot below.

Fill by and size by together
Fill by and size by together

In the above screenshot, each hexagon represents an HAProxy backend. For each host, a darker color represents higher CPU usage, and a larger hexagon indicates more sessions.

Saved Host Maps

Save host maps

Similar to Datadog screenboards, we’ve made it easy to save customized Host Maps so you can share specific views with the rest of your organization. It’s never been easier to get your team on the same page.

For example, you may want to share a view of CPU load across all production Redis servers. Instead of manually filtering each and every time, now you can save your filtered Host Maps for later.

Slice and dice any way you like

As always, with Datadog Host Maps you can use tags and filters to slice and dice your data into any representation you like. Want to see all Redis slaves in the US-East-1 availability zone, so you can see at a glance which hosts have high latency? No problem! Our flexible interface supports advanced aggregation.

Try it today

New to Host Maps? Check out our guide on how to get the most out of this powerful tool.

Datadog customers can access all the new features by navigating to the Host Map under the Infrastructure tab. If you don’t have a Datadog account, try Host Maps out today by signing up for a free 14-day trial of Datadog.