m3ngyang/flocker — explained in plain English
Analysis updated 2026-07-06 · repo last pushed 2016-01-11
Run a database inside a container and move it between servers without losing its data.
Relocate stateful services during server maintenance with data automatically following the container.
Manage data volumes independently of containers if you handle your containers through other tools.
Migrate containers away from crowded servers without manually copying data.
| m3ngyang/flocker | 0xhassaan/nn-from-scratch | a-little-hoof/dsr | |
|---|---|---|---|
| Stars | — | 0 | 0 |
| Language | Python | Python | Python |
| Last pushed | 2016-01-11 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | hard | moderate | hard |
| Complexity | 4/5 | 4/5 | 5/5 |
| Audience | ops devops | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires a multi-server cluster setup and separate documentation installation guides not included in the README.
Flocker solves a specific headache for teams running applications in containers: what happens to your data when a container moves to a different server. Normally, if you're running something like a database inside a container, the data it stores stays stuck on that one server. If the container gets moved elsewhere, the data doesn't follow. This tool makes that data portable, so your storage travels with your container wherever it goes. The way it works is by creating what it calls "datasets" instead of standard storage volumes. When you use it to manage your applications, the dataset and the container are handled together as a pair. So if a container needs to move from one server to another in your cluster, the associated data volume moves with it automatically. You can also use it just to manage data volumes on their own if you prefer to handle your containers through other means. This is mainly aimed at operations teams who need to run stateful services like databases in production. For example, if you're running a database that needs to be relocated because a server is getting crowded or needs maintenance, normally that's a painful process of manually copying data around. With this tool, the data just follows the container, making those migrations much simpler. The project was built by ClusterHQ, a small team of engineers with deep experience in distributed systems. It's written in Python and was under active development, with version 1.0 released in June 2015. The README doesn't go into much detail about the specific technical architecture or setup process, pointing instead to separate documentation for installation guides and tutorials.
Flocker makes container data portable so that when a container moves between servers, its stored data automatically moves with it. This solves the problem of running databases and other data-heavy services inside containers.
Mainly Python. The stack also includes Python.
Dormant — no commits in 2+ years (last push 2016-01-11).
The license is not mentioned in the README, refer to the repository for licensing details.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.