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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 systemd with Datadog
2019-12-16 · via Datadog | The Monitor blog

Systemd is an initialization program that manages processes on Linux systems. It was designed to improve the performance of its predecessors by creating a dependency tree of system components, initializing them only when needed, and using as much parallelization as possible. With systemd becoming ubiquitous in Linux distributions, it’s crucial that you monitor the health and performance of both systemd and the components that it manages. We’re pleased to announce that our new integration with systemd provides comprehensive visibility into system management within your Linux deployments.

oob-v2

It’s 10 p.m.—do you know where your units are?

Systemd constructs its dependency tree by assigning system components to logically connected units. Some units are services, which represent processes. Other units are sockets, which systemd initializes separately from the processes that rely on them. You can use Datadog to get fine-grain visibility into the units that systemd manages and find out if they are unhealthy.

Datadog’s systemd integration provides detailed metrics for the status of your units. You can track system-wide counts of active, activating, inactive, deactivating, and failed units over time (systemd.units_by_state), compare these counts to the total number of units, and see whether system processes have encountered issues.

You can also troubleshoot process initialization by using the unit tag to track the systemd.unit.active and systemd.unit.loaded metrics, letting you know how long specific units have spent in each state. Custom dashboards like the one below can help you investigate possible unit-level issues. In the “Active units” graph, for example, you can see that one service initialized but, soon after, stopped being active.

unit-status-dash

The integration includes an out-of-the-box dashboard for systemd that surveys per-unit metrics across your infrastructure, with a special focus on commonly used units like cron, SSH, and syslog. (You can customize the dashboard to show other units as well.)

Stay on top of unit health

If one of your units fails, you’ll want to know as soon as possible so you can take action. Datadog’s systemd integration runs a service check that returns the state of each systemd unit and reports a CRITICAL status if the unit is inactive, deactivating, or failed. You can view a summary of service checks to get an overview of unit-by-unit health.

service-checks

Our integration also uses service checks to detect if Datadog can no longer connect to systemd, as well as if systemd is unavailable. You can notify your team automatically if one of our service checks reports a CRITICAL status by setting alerts.

Keep your resources under control

You can prevent a single unit from hogging system resources by configuring systemd to impose memory and CPU limits. If a unit exceeds a resource limit, systemd will attempt to terminate its processes. You can use Datadog to visualize per-unit resource consumption over time, helping you understand typical usage levels and set reasonable limits.

systemd-resource-dash

See what runs and save what doesn’t

Now that Datadog integrates with systemd, you can get close-ups of health and performance on your Linux hosts, enabling you to diagnose issues with process management more easily. You can get even more visibility by using Datadog’s Live Process and Live Container views. And for insight into the applications systemd manages, you can use any of our 1,000 integrations. To start monitoring systemd and the rest of your infrastructure, sign up for a 14-day free trial.