k8sfoams 1.3.0

K8s pod foamtree visualizer

k8s-pod-foamtree

It's web server which uses ~/.kube/config file for presenting resource request set for pods. It uses foamtree package for visualization. Dashboard has two option for visualization:

• cpu
• memory

Foamtree view is refreshed automaticaly every 60 seconds by default. Refresh frequency might be change by range slider.

Node is represented by square shape box. Foams are pods. If pod contains more than one container pod foam is splited into sub-foams. Empty foam represents unused (free) resources avaiable on node.

Memory unit

Below memory units are avaiable for displaing:

• KB
• MB
• GB
• TB

Context

Context combobox allows for switching current k8s context. Context is changed only in k8s-pod-foamtree web server not in ~/.kube/config file.

Installation

Prerequisites

Install uv package manager:

curl -LsSf https://astral.sh/uv/install.sh | sh

Install from source

# Install dependencies and the package in development mode
make restore_dev

# Or install without dev dependencies
make restore

Install via PyPi

pip install k8sfoams
# or with uv
uv pip install k8sfoams

Run k8s-pod-foamtree

After installation, run the application:

# Using make
make run

# Or directly
k8sfoams

# Or with uv run
uv run k8sfoams

Command lines arguments

• host: host IP address on which server listen, default is 127.0.0.1
• port: port number on which server listen, default is 8080
• d: turn on debug mode when server starts

Example:

k8sfoams --host 0.0.0.0 --port 8080 -d

Development

Running tests

# Run all tests (type checking, linting, security, unit tests)
make tests

# Run individual test suites
make unit_tests
make static_code_analysis
make check_types
make bandit

CI/CD targets

For CI/CD environments (GitHub Actions, etc.), use these targets that work with system Python:

make restore_ci   # Install dependencies with --system flag
make tests_ci     # Run all tests without uv run prefix

Building the package

make build

Clean build artifacts

make clean