Monitor your server, CPU, memory, and network usage in real-time across all your deployments for full visibility.
Prevent disruption by setting up a monitoring dashboard and custom alerts.
Spot CPU saturation early so you can scale, tune, or fix hot paths before performance drops.
Prevent out-of-memory crashes by watching RAM pressure and acting before the system starts killing processes.
Avoid failed writes and broken deployments by recognizing low disk space before your used storage space hits 100%.
Detect bandwidth congestion or unexpected traffic spikes early to prevent slowdowns and outages before they impact your services.
Set thresholds, receive notifications where you work, and stay in control of your infrastructure at all times.
Set the CPU or memory usage percentage limit that you want to trigger an alert.
Receive notifications on the communication platforms you use.
Disable alerts by just setting your limits to zero.
Use Dokploy's container monitoring dashboard as soon as you've completed the server deployment setup.
Remote servers → Select your server → Setup Server
If all your checkmarks are green, you're good to go!
Choose a deployment option that suits your business—on your infrastructure or ours.
Set up your Dokploy dashboard to suit your needs with different configuration options.
Determine how frequently server and container metrics are collected—the default is every 20 seconds.
Decide on your retention period and an automated cron job will clean old metrics. Choose which port the Dokploy metrics server listens on—the default is 4500.
Choose the services you want to monitor, whether that's all services, specific compose services, applications, or something else.
Secure metrics access with an authentication token. Use the auto-generated metrics token or generate a new one.
Effective container monitoring gives you end-to-end visibility across multiple containers and containerized applications—something that's hard to achieve with conventional monitoring built for static hosts. It helps you correlate logs and metrics to spot abnormal container behavior, reduce error rates, and pinpoint root causes when container issues like restarts or a container shutdown event occur. Container monitoring also supports cost optimization by showing real resource consumption, improving resource allocation, and right-sizing resource limits to control monitoring costs and infrastructure spend.
Container monitoring software automatically discovers running containers, collects container data from the container runtime and other data sources, and turns it into dashboards, alerts, and observability data. In cloud-native environments, it typically unifies collected metrics, log data, and sometimes traces into a single-pane view so you can monitor Docker containers and Kubernetes workloads side-by-side.
Most container monitoring tools run an agent or exporter that can collect data from individual containers and nodes, capturing performance metrics like CPU usage, memory usage, network, and events such as container restarts. They ingest container logs and other telemetry, store it as historical data, and let you view data in charts and alerts while you correlate metrics and events across services.
The best server monitoring software depends on what you need to monitor and whether you want open-source control or a managed SaaS. If you're using Dokploy, you get real-time server monitoring as part of your solution on all plans—with no additional setup required once your server is deployed.
Take advantage of Dokploy's comprehensive container and server monitoring software alongside the rest of the platform.
Get real-time visibility into your servers and containers with Dokploy's built-in monitoring.