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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
Introducing JMX custom tagging
Matt Williams · 2014-12-17 · via Datadog | The Monitor blog

With the release of the Datadog Agent 5.1.0, we have introduced new options for tagging metrics collected by the JMX integration. In addition to automatically tagging metrics by their JMX object name, we now support assigning custom tags to each metric. The benefit here is that you are no longer limited to the tags assigned by the MBean developer, e.g. MBean domain. You can also use tags that are more descriptive such as an internal application name.

JMX custom tags

You can read more about configuring the JMX integration in the Datadog documentation. To achieve something like the example shown above, add the following line to the yaml file for the specific attribute:

tag: frontendweb

To take advantage of JMX custom tagging, upgrade to Datadog Agent 5.1 by following the instructions here. If you’re not currently a Datadog customer, sign up for a 14 day free trial and check out all of the latest enhancements, including JMX custom tagging, for yourself.

This feature came to us as a pull request from one of our customers, Keen.io. Cory Watson, a Principal Infrastructure Engineer at Keen IO was working with an older version of Cassandra. They had a need to enumerate each column’s family’s metrics as a separate JMX query. Unfortunately, the resulting tags were messy. Cory went ahead and created an update to jmxfetch and submitted a GitHub pull request. After a little back and forth, we were able to deploy it as part of the Datadog Agent 5.1.

Thanks so much to Cory and Keen IO for helping us deliver better support for JMX in Datadog.