{"id":439,"date":"2026-10-14T10:01:30","date_gmt":"2026-10-14T10:01:30","guid":{"rendered":"http:\/\/www.scmgalaxy.com\/tutorials\/2015\/10\/08\/useful-web-development-toolkit\/"},"modified":"2026-10-14T10:01:30","modified_gmt":"2026-10-14T10:01:30","slug":"useful-web-development-toolkit","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/useful-web-development-toolkit\/","title":{"rendered":"Web Development Toolkit for DevOps Teams: Visualization, UI, Realtime, and Monitoring Tools"},"content":{"rendered":"\n

This guide curates the original \u201cUseful Web Development ToolKit\u201d into a practical reference for web and DevOps engineers. You will get a categorized tool directory, a decision workflow for choosing the right tool, and setup examples for tools that usually require local installation or server configuration.<\/p>\n\n\n\n

Originally published on 2015-10-08; fully revised and updated.<\/em><\/p>\n\n\n

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\"Useful<\/figure>\n<\/div>\n\n\n

At a glance: what these tools are best for<\/h2>\n\n\n\n

The original post mixed many different tool types. The table below groups representative options by primary use so teams can shortlist faster.<\/p>\n\n\n\n

Tool<\/th>Category<\/th>Primary use<\/th>Typical DevOps fit<\/th><\/tr><\/thead>
Bokeh<\/a><\/td>Data visualization<\/td>Interactive Python plots in the browser<\/td>Internal dashboards, data app prototypes<\/td><\/tr>
Jupyter Notebook<\/a><\/td>Notebook environment<\/td>Live code, visualizations, and documentation<\/td>Experimentation, reproducible analysis, runbooks<\/td><\/tr>
bqplot<\/a><\/td>Notebook plotting<\/td>Interactive plotting for IPython\/Jupyter<\/td>Data exploration inside notebook workflows<\/td><\/tr>
Bootstrap<\/a><\/td>Frontend framework<\/td>Responsive, mobile-first UI foundation<\/td>Fast admin UI and internal portal delivery<\/td><\/tr>
Uptime Robot<\/a><\/td>Monitoring<\/td>External uptime and availability checks<\/td>Website endpoint monitoring and alerting<\/td><\/tr>
Monit<\/a><\/td>Server process monitoring<\/td>Local process checks and auto-restart actions<\/td>Host-level service supervision<\/td><\/tr>
Converse<\/a><\/td>Chat integration<\/td>Browser-based chat features<\/td>Embedding chat in web apps and portals<\/td><\/tr>
HumHub<\/a><\/td>Collaboration platform<\/td>Self-hosted social networking\/community features<\/td>Internal communities and team collaboration<\/td><\/tr>
Onsen UI<\/td>Mobile\/web UI<\/td>UI components for hybrid\/mobile-oriented apps<\/td>Cross-device app frontends<\/td><\/tr>
Cylon JS<\/a><\/td>IoT\/robotics integration<\/td>JavaScript robotics and connected-device APIs<\/td>Prototype integrations with connected devices<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Tool selection workflow for web projects<\/h2>\n\n\n\n

Use this lightweight workflow to pick tools by project objective before committing to implementation.<\/p>\n\n\n\n

\nflowchart TD\n    A[Define project need] --> B{Primary goal}\n    B -->|Data visuals| C[Bokeh or bqplot with Jupyter]\n    B -->|Frontend UI| D[Bootstrap or Onsen UI]\n    B -->|Chat or community| E[Converse or HumHub]\n    B -->|Monitoring and ops| F[Uptime Robot or Monit]\n    C --> G[Build proof of concept]\n    D --> G\n    E --> G\n    F --> G\n    G --> H[Security and maintenance review]\n    H --> I[Adopt and document]\n<\/pre>\n\n\n\n
Quick-start setup examples<\/h2>\n\n\n\n
These examples are intentionally minimal and are meant as starting points for local development or proof-of-concept environments.<\/p>\n\n\n\n
Bokeh + Jupyter environment<\/h3>\n\n\n
python3 -m venv .venv\nsource .venv\/bin\/activate\npip install bokeh jupyterlab bqplot\njupyter lab<\/code><\/span><\/pre>\n\n
from<\/span> bokeh.plotting import<\/span> figure, show\n\np = figure(title=\"Build monitor latency\"<\/span>)\np.line([1<\/span>, 2<\/span>, 3<\/span>, 4<\/span>], [120<\/span>, 95<\/span>, 110<\/span>, 80<\/span>], line_width=2<\/span>)\nshow(p)<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Bootstrap via npm<\/h3>\n\n\n
mkdir web-ui && cd web-ui\nnpm init -y\nnpm install bootstrap<\/code><\/span><\/pre>\n\n
<link<\/span> rel<\/span>=\"stylesheet\"<\/span> href<\/span>=\"node_modules\/bootstrap\/dist\/css\/bootstrap.min.css\"<\/span>><\/span>\n<div<\/span> class<\/span>=\"container py-4\"<\/span>><\/span>\n  <button<\/span> class<\/span>=\"btn btn-primary\"<\/span>><\/span>Deploy<\/button<\/span>><\/span>\n<\/div<\/span>><\/span><\/code><\/span>Code language:<\/span> HTML, XML<\/span> (<\/span>xml<\/span>)<\/span><\/small><\/pre>\n\n\n
Monit service check example<\/h3>\n\n\n
check process nginx with<\/span> pidfile \/run\/nginx.pid\n  start program = \"\/usr\/bin\/systemctl start nginx\"<\/span>\n  stop program  = \"\/usr\/bin\/systemctl stop nginx\"<\/span>\n  if<\/span> failed port 80<\/span> protocol http then restart<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n
sudo monit -t\nsudo systemctl restart monit\nsudo monit status<\/code><\/span><\/pre>\n\n\n
Categorized directory of tools from the original post<\/h2>\n\n\n\n
Links below are retained from the original article wherever provided.<\/p>\n\n\n\n
Data visualization and notebooks<\/h3>\n\n\n\n