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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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Introducing Availability Monitoring
2014-12-15 · via Datadog | The Monitor blog

We just released a major extension to Datadog monitors in the Datadog Agent 5.1.0 called Availability Monitoring. Availability Monitoring introduces five new kinds of monitors on top of our existing metric-based ones:

  • Host monitors

  • Integration monitors

  • Network monitors

  • Process monitors

  • Custom monitors

Metric-based monitors let you monitor apps and services in a sophisticated way. However, sometimes you just want a simpler monitor to know when a host or a service is up or down. That is exactly what Availability Monitoring lets you do.

Monitors---Datadog

Like metric-based monitors, the new monitors are particularly well-suited for large-scale deployments thanks to their use of tags. With tags you can apply a host monitor on all hosts that belong to the same environment, are in the same data center, or run the same AWS AMI. There is no need to reconfigure anything if your infrastructure is elastic. Datadog monitors keep up with changes in real-time.

An example: Monitor Elasticsearch

At Datadog we use Elasticsearch extensively to power our correlation engine. Lets look at how you can monitor it effectively using the new monitors on top of the existing metric-based monitors.

In this example we will use two of the new monitors: host monitors and integration monitors, in addition to the existing metric monitors to get comprehensive coverage.

Monitor all Elasticsearch hosts at once

To monitor all Elasticsearch hosts at once you can use the new host monitor. In this example, all Elasticsearch hosts have a tag that lets you track the whole cluster: name:es-events-data. Datadog automatically tags AWS instances and converts Chef roles and Puppet facts into tags. In addition, you can use the infrastructure overview UI or our API to tag hosts. Youll never have to reconfigure the monitor as long as hosts are tagged properly.

Every minute Datadog will check whether it has received a heartbeat from all hosts with that tag and trigger an alert if any host is missing. Datadog can even tell the difference between a host that stopped reporting and one that was terminated on purpose on AWS.

Availability monitoring - Host monitor

The rest of the monitor definition is one you are already familiar with: say whats happening and decide who to notify in your team.

Monitor Elasticsearch cluster health with an integration monitor

Elasticsearch is a distributed data store: it can survive the loss of a number of its hosts so the host-based monitor is useful but coarse.

The Elasticsearch integration monitor understands the Elasticsearch cluster health API natively so you can easily alert on the health of the whole cluster, using tags if you have multiple clusters.

Availability monitoring

Monitor Elasticsearch metrics with a metric monitor

With the previous two monitors, you can track the health of the cluster and that of each individual node. Metric-based monitors give you a more granular view into Elasticsearch.

Relocating Elasticsearch shards may negatively affect runtime performance of the cluster so they are a good metric to keep an eye on. The metric elasticsearch.relocating_shards is monitored availability zone by availability zone and triggers if any shard relocates over a period of 5 minutes.

Availability monitoring -

Learn more about monitors

We have updated our API and documentation to describe Availability Monitoring in greater detail. We will follow up this introduction with more in-depth posts. Stay tuned.

If you’re new to Datadog and want the ability to be alerted based on the availability of your hosts and services, sign up for a 14 day free trial and check it out for yourself.