Docker Infrastructure Monitoring

Docker Container
Monitoring

Resource Limits, OOM Kills & Real-Time Container Lifecycles

Gain total visibility into your containerized apps. BigBell monitors Docker containers continuously, tracking CPU, memory limits, network I/O, and identifying crash loops instantly.

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Overview

What is Docker Container Monitoring?

Docker Container monitoring involves hooking directly into the Docker Daemon (dockerd) to track the runtime metrics of individual containers. It bypasses the host operating system to measure exactly how much CPU, memory, network bandwidth, and block I/O a specific container (e.g., a Redis or Node.js container) is consuming, alongside its lifecycle status (Running, Exited, Restarting).

Why Docker Container Monitoring Matters

Containers abstract the OS, which makes them highly portable but harder to debug with traditional tools. If a host has 16GB of RAM, but a Docker container is started with a `--memory=2g` hard limit, the application will be killed (OOMKilled) when it hits 2GB, even if the host has plenty of free RAM. Without container-specific monitoring, you only see a healthy host, while users experience an offline application due to constant container restarts.

✓Detect OOMKilled containers that are failing silently
✓Identify containers hogging host CPU via unlimited resource configs
✓Track network I/O to find chatty microservices
✓Monitor container uptime and auto-restart policies

Core Use Cases

Vital for DevOps engineers migrating legacy apps to Docker who need to establish baseline resource limits, and for sysadmins troubleshooting random application disconnects on shared Docker hosts.

Features

Complete Containers Monitoring Capabilities

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Resource Limits

Visualize actual container CPU/Memory usage plotted directly against the hard limits defined in Docker Compose.

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Restart Tracking

Alert when a container enters a crash loop (continually exiting with non-zero codes and restarting).

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Block I/O Monitoring

Track exactly how much data a specific container is reading from or writing to the host's physical disk.

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Exit Code Alerts

Get instantly notified when a critical container exits unexpectedly, complete with the specific Docker exit code (e.g., 137).

FAQ

Frequently Asked Questions

Exit Code 137 almost always means the container was killed by the Linux Out Of Memory (OOM) killer because it exceeded its allocated RAM limit.

BigBell's agent connects directly to the local Docker Daemon socket (/var/run/docker.sock) to stream metrics via the Docker Engine API with near-zero overhead.

Yes! BigBell automatically reads Docker labels, grouping metrics seamlessly by your Docker Compose project and service names.

Master Your Containers Metrics Today

Start monitoring containers performance in minutes. Prevent downtime before it happens.