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Difference between revisions of "Solum/ApiModel"

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=== Overview ===
 
The point of this design is to try and model the use cases to the API better.
 
The point of this design is to try and model the use cases to the API better.
  
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So we need to enable someone to use their source tree (git repo) as a tool for building images, running tests and deploying into a variety of environments.
 
So we need to enable someone to use their source tree (git repo) as a tool for building images, running tests and deploying into a variety of environments.
  
The main entities that the user needs to deal with is:
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The main user entities that the user needs to deal with is:
  
 
* their application source code
 
* their application source code
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* the deployment environment (how and where the application is run “dev”, “staging” & “production”)
 
* the deployment environment (how and where the application is run “dev”, “staging” & “production”)
  
 
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=== A usecase ===
An example:
 
  
 
* Given a git repo, whenever there is a commit pushed to the repo:
 
* Given a git repo, whenever there is a commit pushed to the repo:
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* deploy to the production environment
 
* deploy to the production environment
  
Qu: How does the image have the correct software installed?
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=== Definitions ===
 
+
I see 3 main entities:
Ans: we natively support heroku style applications and allow custom images via the language pack definition.
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* application
 
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: git url
Qu: What is an environment?
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: required runtime services
 
+
: extra config:
Ans: (still under discussion, but…) credentials, endpoints, location (region & AZ), compute type (VM, container) and scaling info.
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* environments (still under discussion)
 +
: how and where to deploy resources
 +
: e.g. credentils, endpoints, location (region & AZ), compute type (VM, container) and scaling info.
 +
* lifecycle
 +
: the jobs to get the application from a git commit to a deployed heat stack
  
Qu: How does the deployment have the correct runtime services?
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=== Example ===
 
 
Ans: we need somewhere to define the application’s service requirements (plan or similar)
 
  
 
  applications:
 
  applications:
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     environment: production
 
     environment: production
 
     template: {get_output: gen_template}
 
     template: {get_output: gen_template}
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=== Old stuff ===
  
 
For DSL, we can also look at Mistral, Taskflow, Murano.
 
For DSL, we can also look at Mistral, Taskflow, Murano.

Revision as of 08:56, 28 April 2014

Overview

The point of this design is to try and model the use cases to the API better.

From https://wiki.openstack.org/wiki/Solum: “An OpenStack Related Stackforge project designed to make cloud services easier to consume and integrate into your application development process. “

Our current API models a Plan to Deployment but does not cope well with intermediary steps that a development process requires (such as tests, image building and environments).

So we need to enable someone to use their source tree (git repo) as a tool for building images, running tests and deploying into a variety of environments.

The main user entities that the user needs to deal with is:

  • their application source code
  • the application requirements (both build and runtime)
  • the desired development steps (eg. build, test, deploy)
  • the deployment environment (how and where the application is run “dev”, “staging” & “production”)

A usecase

  • Given a git repo, whenever there is a commit pushed to the repo:

run local unit tests

  • build an image from the app (with any requirements pre-built)
  • deploy to a “staging” environment (where manual testing is done)
  • deploy to the production environment

Definitions

I see 3 main entities:

  • application
git url
required runtime services
extra config:
  • environments (still under discussion)
how and where to deploy resources
e.g. credentils, endpoints, location (region & AZ), compute type (VM, container) and scaling info.
  • lifecycle
the jobs to get the application from a git commit to a deployed heat stack

Example

applications:
 thingy:
   git_url: git://x.me/a.git 
   services: 
     - trove
       remote_logging
   config:
     custom_env: foo
environments:
 default:
   compute: docker
   trust_token: bla-bla
   region: SYD
   flavor: m1.small
 production:
   trust_token: foo-fee
   region: US1
   flavor: m1.large
lifecycle:
 check:
   type: repo_job
   cmd: tox
 gen_template:
   type: generate_template
   depends_on: check
   application: thingy
 build:
   type: repo_job
   depends_on: check
   cmd: “solum-build-app .”
 deploy:
   type: deploy_stack
   environment: production
   template: {get_output: gen_template}

Old stuff

For DSL, we can also look at Mistral, Taskflow, Murano. It will be great if more than one folks participate in the DSL discussions being proposed by Mistral guys (ref. Email on Openstack-dev list).

Builder subsystem/service:

  • Investigate Jenkins
  • Investigate Mistral

non-framed

Additional Issues:

  • Long running workflows would need Solum to use trusts (and renew tokens periodically).


Build jobs need to be run on disposable VM's to be secure.

non-framed