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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 Lighttpd web server metrics with Datadog
Abril Loya McCloud · 2016-07-28 · via Datadog | The Monitor blog

Lighttpd is an open source web server known for its flexibility and speed. It has a relatively low memory footprint as well as small CPU load in comparison to other web servers while remaining secure and compliant with web standards. Lighttpd also provides support for CGI applications written in any language.

Monitoring Lighttpd’s performance presents many of the same challenges presented by other web servers. However, features like Lighttpd’s small CPU load make it easy to establish baselines to help you ensure your web server is performing optimally. Datadog integrates with Lighttpd to help you keep an eye not only on Lighttpd’s CPU load, but other key metrics like memory usage and uptime, which you can analyze and correlate with performance metrics from the rest of your infrastructure.

Shedding light on Lighttpd

With Datadog’s Lighttpd integration you can visualize and alert on metrics from your web server and be notified of issues before they affect your users. Monitoring your web server over time is key to minimizing both lag and downtime, as well as troubleshooting when these issues occur. Once you’ve configured the Lighttpd integration, the Datadog Agent will automatically begin to collect your metrics and display them in a screenboard like the one below.

lighttpd web server metrics

All your metrics in one place

Monitoring general metrics like uptime and memory usage can give you a good idea of Lighttpd’s health, at a glance. The out-of-the-box dashboard also features other useful metrics like number of requests, network traffic, and the difference between hits/s and requests/s. These two metrics in particular can be helpful in identifying performance issues in your web applications.

lighttpd web server metrics

In the graph above, you can see significant spikes in the graph displaying the difference between hit/s (total number of requests) and requests/s (number of fulfilled requests). These spikes show that response times for requests are lagging, an issue that you can quickly troubleshoot by correlating your Lighttpd metrics with underlying system metrics or other data from your infrastructure.

The Datadog Agent collects the following metrics from your Lighttpd servers:

Metric nameDescription
lighttpd.performance.busy_serversNumber of active worker threads per server.
lighttpd.performance.idle_serversNumber of idle worker threads per server.
lighttpd.performance.uptimeThe amount of time the server has been up and running in seconds.
lighttpd.net.bytesTotal number of read and written bytes since start.
lighttpd.net.bytes_per_sNumber of read and written bytes/s.
lighttpd.net.hitsTotal number of requests received since start.
lighttpd.net.request_per_sNumber of fulfilled requests per second.

In addition to visualizing your metrics, you can also set up custom alerts to notify you in case of unexpected increases or decreases in Lighttpd’s memory usage, hits, requests, and more.

Let there be Light-tpd!

If you’re already a Datadog customer, setting up the Lighttpd integration only takes a few minutes. Once you’ve configured the integration, the Agent will automatically begin collecting your metrics. If you’re new to Datadog, you can sign up for a 14-day trial to begin monitoring your Lighttpd servers along with metrics from the rest of your infrastructure.