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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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Monitor DynDNS with Datadog
Abril Loya McCloud · 2016-06-16 · via Datadog | The Monitor blog

DynDNS is an easily implemented DNS update client that allows you to keep your hostname IP addresses up to date as they change.

Monitor DynDNS

DynDNS allows you to delegate distinct subdomain sections within separate DNS zones for administration, making it highly flexible. Without a reliable updater, like DynDNS, your customer experience can suffer greatly and even take your app offline until the IP addresses and hostnames are adjusted properly. However, the flexibility of dynamic DNS systems can also make them difficult to monitor at scale.

Datadog provides an easy way to visualize and monitor changes across your zones as they are updated as well as analyze the Queries Per Second (QPS) made by zone or record type in a dashboard like the one below.

monitor dyndns image

By monitoring and analyzing these zones, you gain immediate insight into how your DNS is performing and how it could be impacting your infrastructure as a whole. When coupled with the ability to set specific, custom parameters for alerting, you can stay ahead of issues before they impact users.

Metrics

Datadog collects two main metrics from your DynDNS portal.

MetricDescription
dyn.changesThe number of DNS Zone note changes in a given period.
dyn.qpsThe number of DNS queries per second.

Keeping track of QPS changes can be helpful in getting ahead of critical issues; for example, an uncharacteristic spike in QPS can be indicative of a DDoS attack or of unusually high traffic volume while a QPS drop-off can be indicative of TTL changes.

Changes monitored through the dyn.changes metric give you a bird’s eye view of your DNS by visualizing changes made across your zones including Zone publishing, Zone notes, DNSSEC changes, HTTP redirect changes, and External Nameserver Service changes.

Set up

The first step to using DynDNS with Datadog is to create a read-only user within your DynDNS portal for Datadog to access your data. Once you’ve created this user, click on the DynDNS tile within the Datadog integrations page and add the credentials along with your organization (customer) name.

From there, it’s a matter of choosing which of your zones you would like to monitor.

monitor dyndns image

Get started

If you are already using DynDNS and are a Datadog customer, you can begin monitoring your DNS today. Otherwise, if you’d like to gain insight into your DNS performance and track changes as they occur, sign up for a Datadog trial.