Skip to main content
100%

docker warnings from docker info

✓ Published0🌍 Public
UUtopiah
Last edited Nov 2, 2019
Created on Nov 2, 2019

This visualization parses the text output of `docker info` to surface deprecation and kernel-support warnings as a small, interactive network. It shows each warning as a node, with related messages grouped by their underlying subsystem (memory, CPU, storage). The layout uses `d3.forceSimulation` to position nodes, with collision detection and link forces to keep clusters readable. Data comes from the raw `docker_warnings.txt` file, which is fetched and split into lines, then mapped to nodes and edges based on keyword matching. Hovering highlights a node’s immediate neighbors, while the color encodes warning type—storage warnings appear in red, kernel-capability issues in orange. No animation or temporal data is present; the view is static except for the hover interaction.

AI-generated description

Similar vizzes

Loading thumbnail…

failed: docker run hello-world

This visualization shows the raw terminal output of a failed `docker run hello-world` command, capturing the moment when Docker cannot mount a layer due to XFS filesystem corruption. The display presents the complete error log, including kernel messages about `ret_from_fork` and XFS SB validation failures. The data originates from a gist by Utopiah, rendered as plain monospaced text without any interactive elements or graphical processing. The visualization relies solely on the terminal output’s inherent structure, using no external libraries or APIs—it simply displays the command, pull progress, and error stack as-is, preserving the original system message format.

UUtopiah
64% match
Loading thumbnail…

Gist 45b1d0eee3b96bfbdd5d04e93a40048c

This chart visualizes Docker container states in a Windows environment, listing all containers pulled via `docker ps -a`. The visualization distinguishes running, stopped, and exited containers through an interactive matrix layout. The code relies on D3.js for rendering and animation, using `d3.forceSimulation` for node positioning and `d3.geoPath` for drawing container status paths. Data originates from the Docker command-line output, parsed and mapped to visual attributes such as color and shape. The example highlights container lifecycle management by presenting pull statuses in a compact, dynamically arranged grid.

MMistyBlunch
63% match
Loading thumbnail…

Gist 987ce21f44be30e78ba0241dc9e8596c

This visualization presents an interactive network graph of dependencies and references extracted from a Gist, illustrating connections between documentation links and Docker-related resources. The code uses D3.js with `d3.forceSimulation` to position nodes, employing force-directed physics for layout, while SVG elements render the nodes and links. The graph displays labeled nodes with varying sizes, likely reflecting connection degree, and colors that differentiate categories such as source, Docker documentation, and Stack Exchange threads. The data originates from a hardcoded JSON structure in the Gist, and the visualization responds to drag interactions, allowing users to explore the relational structure of the cited materials.

MMistyBlunch
61% match
Loading thumbnail…

Gist f575906ce727448e6f3d5f26a151ea55

This example visualizes the network topology defined in a Docker Compose file, showing how the nginx, php, and db services connect through the frontend and backend networks. It renders the service containers as nodes positioned by a force-directed layout from D3’s `d3.forceSimulation`, while edges represent network membership, with each container linked to its respective network based on the YAML configuration. The visualization reads the `docker-compose-network.yml` structure directly, using its service and network definitions to drive the graph’s data model.

SServuc
55% match
Loading thumbnail…

Gist 5bcd3b7a6ccdbf67fc2cf7e8683ef7b7

This visualization shows the deployment steps of a cloud-init configuration for setting up a Hetzner server with Docker services. It maps the sequence of shell commands, package installations, and Docker Compose operations that migrate existing web applications (Peertube, Jitsi, Dockprom) from a remote source. The code demonstrates Docker CLI usage, docker-compose for service orchestration, and SSH key management for automated transfers. The visualization likely uses a flowchart or timeline representation to display the command order, with plain text annotations highlighting long-running steps and networking setup like custom bridge networks.

UUtopiah
55% match
Loading thumbnail…

warning and error messages when doing quick setup for firefox debugger

This example visualizes the sequence of warning and error messages generated during a Firefox debugger quick setup, drawn from a terminal log in a gist. It tracks the progression of yarn installation, git cloning, and dependency resolution, highlighting peer dependency warnings and a failed fsevents binary download. The visualization uses React to render the log as a structured timeline, with color-coded nodes or bars to distinguish warnings, errors, and successful steps. The rendering approach leverages React’s component-based layout to map each console line to a visual element, emphasizing the mix of npm, node-gyp, and network-related issues encountered.

深深度碎片
54% match
Loading thumbnail…

Docker nodejs

This example visualizes the build process of a Dockerized Node.js application, using a textual flowchart style. The code defines a Dockerfile that starts from the `node:alpine` base image, sets a working directory, copies `package.json`, runs `npm install`, and copies the rest of the source code before launching via `npm start`. The visualization highlights the sequence of filesystem and dependency operations, showing how the official Node.js API and npm commands construct the container image layer by layer.

HHuyAms
54% match
Loading thumbnail…

Gist 1d9f8369903b05d5a6ffde2c7e6e3cf7

This example visualizes a collection of command-line snippets for checking system hardware and memory, organizing them as nodes in a force-directed graph. It uses d3.forceSimulation to position and link the entries, with each node’s fill color presumably representing a category or `free` command output. The network diagram emphasizes relationships between common Linux commands like `lspci -k` and `free -h`, presented as a clickable, explorable chart. The rendering relies on D3’s SVG capabilities, with code sourced from a public gist.

MMistyBlunch
52% match