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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 NGINX Plus Load Balancing Metrics
2014-04-28 · via Datadog | The Monitor blog

In a short 5 years, NGINX has gone from powering 0 to powering 1 in every 6 of the busiest websites on the Internet. Datadog uses NGINX and chances are, you do too. Datadog is pleased to announce the expansion of our current NGINX monitoring to support the additional features offered through NGINX Plus.

Launched in 2013, NGINX Plus is a fully supported, commercial version of NGINX that offers basic open source modules and additional enterprise-class features. In particular, the premium version provides:

Monitor NGINX Plus metrics in Datadog

Datadog expands the existing NGINX community version plugin to support the new advanced activity monitoring in NGINX Plus. Datadog now collects all metrics exposed by the NGINX Plus status module, including:

  • Connections accepted, dropped, active, idle
  • Bytes sent and received by server zone
  • Number of health checks failed
  • Response counts by status code and upstream server

Find a sample of all NGINX Plus metric names and their tagging structure here.

NGINX connections and upstreams

Tags are the linchpin of monitoring with Datadog. They are used everywhere to navigate data, define graphs, and create alerts easily whether you have 5 or 5,000 servers. With tags you can slice and dice metrics, graphs, alerts and get an inventory of servers to quickly pinpoint the servers you wish to look into.

The new NGINX integration tags all NGINX metrics for you with the correct upstream server and server zone so that you can very easily see how traffic gets distributed between NGINX servers, zones, and individual upstream servers.

For example, in the graph below we are showing active connections per minute, split by upstream server.

NGINX Monitoring

Aggregate, alert on, and graph NGINX Plus metrics

Datadog automatically creates a metric for every combination of upstream pool, upstream server, and server zone. These metrics can be aggregated in order to monitor an entire upstream pool or cluster of upstream pools. Furthermore, metrics from multiple NGINX servers can be aggregated into a single, high-level metric for the entire web service served via NGINX.

You can graph any of these metrics on Datadog dashboards or receive alerts on them via email, PagerDuty, HipChat, Slack or webhooks. Conducting a drilled-down analysis for an event that happened over the last year is a snap, using Datadog’s high-resolution historical data.

Monitor NGINX Plus

Correlate events from other systems with NGINX Plus metrics

You can overlay events from the other + Datadog integrations on top of the NGINX Plus metrics. With a side-by-side view of events and related dashboards of metrics, you can drastically cut the time you spend investigating and correlating events and metrics coming from different parts of your infrastructure.

Monitor NGINX Plus

If you would like to get visibility into your HTTP load balancing as described in this article, first sign up for a NGINX Plus Free Trial. Then try a 14-day free trial of Datadog to instantly gain insight and monitor NGINX Plus metrics. Visit our Datadog NGINX Integration page to learn more about the Datadog NGINX integration.