Skip to main content

Application deployment on CoreOS clusters using fleetd and Consul

This project has been archived.

The maintainers of this project have marked this project as archived. No new releases are expected.

Project description

Easy docker stack deployment to CoreOS clusters using Fleet and Consul.

Houston installs as a command-line application and is meant to be used for automated deployment of Dockerized application stacks.

Houston deployments allow for files to be placed onto the host OS, the deployment of dependency containers, confirmed startup of a container using Consul, and teardown of previous container versions in a single run.

Version Downloads Status Coverage License

Installation

Houston may be installed via the Python package index with the tool of your choice:

pip install houston

Documentation

Documentation is available on ReadTheDocs.

There is also an example configuration directory.

Usage Example

Example of deploying a full stack application:

houston -c config -e test-us-east-1 example 7b7d061b
INFO     Deploying example-file-deploy@11bede3c.service
INFO     Deploying example-memcached@1.4.24.service
INFO     Deploying example-nginx@35f9e1f3.service
INFO     Deploying example-consul-template-nginx@d3bac01d.service
INFO     Deploying example-pgbouncer@f20fb494.service
INFO     Deploying example-consul-template-pgbouncer@d3bac01d.service
INFO     Deploying example-datadog@ff444e66.service
INFO     Deploying example@7b7d061b.service
INFO     example@7b7d061b.service has started
INFO     Validated service is running with Consul
INFO     Destroying example@b67b4317.service
INFO     Deployment of example 7b7d061b and its dependencies successful.
INFO     Eagle, looking great. You're Go.

When executed, houston creates a tarball of files from the service’s file manifest and uploads it to Consul’s KV database. It then deploys a dynamically created systemd unit to fleet, which pulls the tarball from Consul and extracts the files to the CoreOS filesystem.

In thge next step, it iterates through the dependency containers specified in the manifest, submitting and starting each unit, waiting until a unit is listed as active in systemd for all nodes, and then moves on to the next.

One the dependency containers have started, it starts the example service, waiting for systemd to report it as active. It then queries Consul for the version of the service that has started, ensuring that it is running on all the expected nodes that fleet says it has deployed it to.

Once a deployment has been confirmed, it looks at all units submitted to fleet, checking to see if there are other versions of containers running than what it deployed. If so, it will destroy those other containers with fleet.

Finally it will check to see if any other file archive versions exist in Consu for the service, removing them if so.

One of the more interesting parts for managing stack deployment is the namespacing of the shared stack elements in fleet, so that updating one stack does not impact another. For example, in the configuration, a service may be referred to as only pgbouncer:f20fb494, but when deployed it will be prefixed and versioned appropriately as example-pgbouncer@f20fb494 if the service name is example.

Version History

Available at https://houston.readthedocs.org/en/latest/history.html

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

houston-0.1.0.tar.gz (9.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

houston-0.1.0-py2.py3-none-any.whl (13.0 kB view details)

Uploaded Python 2Python 3

File details

Details for the file houston-0.1.0.tar.gz.

File metadata

  • Download URL: houston-0.1.0.tar.gz
  • Upload date:
  • Size: 9.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for houston-0.1.0.tar.gz
Algorithm Hash digest
SHA256 832c75e507f8448e8c3c6d5fbd68215ce16835c0397d650071d2b125989a119a
MD5 2586b145a2092e047229e83d9cf6c06c
BLAKE2b-256 47a02815e2e46e49d292c124c837cdd01cfce31ab3ad63cfaa8b8a6943a7fbc9

See more details on using hashes here.

File details

Details for the file houston-0.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for houston-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ea7596198f7669ddfe0a7efe4a116bfffca612210b5c686668e1db7b8860f7ed
MD5 15f11bee06a28a6db6c672069b5f3abc
BLAKE2b-256 34a68e7a0d312e2baf15f4685fe9547977f1f80cce2299d9356242eec12e7cff

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page