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Docker network monitoring
Docker network monitoring










  1. Docker network monitoring install#
  2. Docker network monitoring license#
  3. Docker network monitoring series#

Docker network monitoring install#

This allows the agent to connect to the Engine API via the Docker daemon socket to collect the host's container data.įor next steps after install is completed, see What's next? Inventory collected v "/var/run/docker.sock:/var/run/docker.sock"īind mounts the host's Docker daemon socket to the container. This allows the agent to gather data about processes running on the host. This read-only access to the host's root allows the agent to collect process and storage metrics as well as Inventory data from the host.Īdds the Linux capability to trace system processes. This allows the agent to collect the network metrics about the host.īind mounts the host's root volume to the container. Sets the container's network namespace to the host's network namespace. For config option explanations, see configuration settings.

Docker network monitoring license#

Docker CLIĬreate the newrelic-infra.yml agent config file with your New Relic license key. Do not provide secrets using environment variables with Docker. Once your image is built, you can easily spin up a container without having to provide more launch time configurations. Recommendation: Extend the newrelic/infrastructure image, and use your own newrelic-infra.yml agent config file. This allows you to deploy the infrastructure agent as a container that can monitor its underlying host. The following are basic instructions for creating a custom Docker image on Linux. We recommend installing the agent on the underlying host which provides all capabilities. The log forwarder is not included with the containerized agent. The container image is available and supported on AMD64 and ARM64 architectures. The container must run any of the Linux distributions and versions supported by our agent. The containerized version of the infrastructure agent requires Docker 1.12 or higher. A host can only run one instance of the agent at a time, whether that's the containerized agent or the non-containerized version. Using the custom (recommended) or basic setup allows the infrastructure agent to run inside a container environment. This can monitor metrics for the container itself, as well as the underlying host. If you're running a container OS or have restrictions that require deploying the agent as a container, you can run a containerized version of our infrastructure monitoring agent. # Override the global default and scrape targets from this job every 5 seconds.The infrastructure monitoring agent for Linux supports Docker environments by default. # The job name is added as a label `job=` to any timeseries scraped from this config. # A scrape configuration containing exactly one endpoint to scrape: # Load and evaluate rules in this file every 'evaluation_interval' seconds. # external systems (federation, remote storage, Alertmanager).

Docker network monitoring series#

# Attach these labels to any time series or alerts when communicating with # scrape_timeout is set to the global default (10s). Scrape_interval: 120s # By default, scrape targets every 15 seconds.Įvaluation_interval: 120s # By default, scrape targets every 15 seconds. '-config.file=/etc/prometheus/prometheus.yml' Install with docker-compose.yml docker-compose.yml prometheus: My dashboard work with this configuration. I use the docker-compose to set my monitoring.

  • Remaining memory for each container (if men_limit defined in docker-compose.yml).
  • The second parts of the dashboard is Docker metric, more detailed using mostly graph. The first lines represents the system metric with gauge and text/graph (easy to visualize and minimalist).Īlerts are set on disk usage, memory usage and load usage to warn when the metric are critics. This dashboard display Docker and system metric, the aim it's to have all the metric on one dashboard. Dashboard compatible with Grafana 4 System metric












    Docker network monitoring