wurstmeister/docker-kibana — explained in plain English
Analysis updated 2026-07-25 · repo last pushed 2018-03-02
Centralize logs for a web app to search for errors and watch traffic patterns visually.
Spin up a local ELK stack quickly to explore log data without manually installing each service.
Build monitoring dashboards for a small team launching a new application.
| wurstmeister/docker-kibana | 123satyajeet123/bitnet-server | adeilsonrbrito/cross-model-consult | |
|---|---|---|---|
| Stars | — | 0 | 0 |
| Language | Shell | Shell | Shell |
| Last pushed | 2018-03-02 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | ops devops | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Docker installed and basic familiarity with the command line, the README provides minimal configuration guidance.
This project lets you run Kibana and its companion tools, Elasticsearch, Logstash, and Nginx, packaged together using Docker. The core benefit is that instead of manually installing and configuring each of these services on your machine or server, you can get the whole stack up and running with minimal effort. Kibana is a popular tool for visualizing data, especially logs and metrics. It works hand in hand with Elasticsearch (which stores and searches the data) and Logstash (which collects and processes it). Nginx typically acts as a web server or proxy in front of everything. Together, these tools form what people often call the "ELK stack," used to monitor applications, troubleshoot issues, and make sense of large volumes of data. Someone might use this setup if they want a quick way to explore log data or build dashboards without becoming a systems administrator first. For example, a small team launching a web app could use it to centralize their logs, search for errors, and watch traffic patterns visually. The project is written as a set of shell scripts, meaning it automates the setup process through straightforward command-line instructions. The README is extremely brief and doesn't go into detail on configuration options, supported versions, or how to customize the setup beyond the basics. It assumes you already have Docker installed and are familiar enough with the command line to get started. If you need guidance on tuning the individual services or connecting them to your own data sources, you would need to look elsewhere for that information.
Run Kibana, Elasticsearch, Logstash, and Nginx together using Docker. It automates the setup of the ELK stack so you can visualize logs and data without manually configuring each service.
Mainly Shell. The stack also includes Shell, Docker, Kibana.
Dormant — no commits in 2+ years (last push 2018-03-02).
No license is mentioned in the README, so usage rights are unclear.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.