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Merge pull request #3645 from bgrant0607/config 

CLI/config roadmap
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Tim Hockin 2015-01-22 13:43:25 -08:00
parent 124915417c 1ed9597975
commit 5c3fd0c3ef
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# Kubernetes CLI/Configuration Roadmap
See also issues with the following labels:
* [area/config-deployment](https://github.com/GoogleCloudPlatform/kubernetes/labels/area%2Fconfig-deployment)
* [component/CLI](https://github.com/GoogleCloudPlatform/kubernetes/labels/component%2FCLI)
* [component/client](https://github.com/GoogleCloudPlatform/kubernetes/labels/component%2Fclient)
At least the first three issues should block 1.0.
1. stop command in kubectl [#2144](https://github.com/GoogleCloudPlatform/kubernetes/issues/2144): Gracefully terminate any object(s), to the extent currently possible. We also eventually want first-class support in the API for graceful termination. [#1535](https://github.com/GoogleCloudPlatform/kubernetes/issues/1535)
1. Kind-based filtering on object streams -- only operate on the kinds of objects specified. This would make directory-based kubectl operations much more useful. Users should be able to instantiate the example applications using `kubectl create -f <example-dir> ...`
1. Create services before other objects, or at least before objects that depend upon them. Namespace-relative DNS mitigates this some, but most users are still using service environment variables. [#1768](https://github.com/GoogleCloudPlatform/kubernetes/issues/1768)
1. Pretty printing of endpoints
1. Service address/port lookup command(s)
1. Multiple objects on command line [#3050](https://github.com/GoogleCloudPlatform/kubernetes/issues/3050)
1. Finish rolling update [#1353](https://github.com/GoogleCloudPlatform/kubernetes/issues/1353)
1. Friendly to auto-scaling [#2863](https://github.com/GoogleCloudPlatform/kubernetes/pull/2863#issuecomment-69701562)
1. Rollback (make rollingupdate reversible, and complete an in-progress rolling update by taking 2 replication controller names rather than always taking a file)
1. Rollover (replace multiple replication controllers with one, such as to clean up an aborted partial rollout)
1. Write a ReplicationController generator to derive the new ReplicationController from an old one (e.g., `--image-version=newversion`, which would apply a name suffix, update a label value, and apply an image tag)
1. Use readiness [#620](https://github.com/GoogleCloudPlatform/kubernetes/issues/620)
1. Perhaps factor this in a way that it can be shared with [Openshift’s deployment controller](https://github.com/GoogleCloudPlatform/kubernetes/issues/1743)
1. Rolling update service as a plugin
1. List supported API versions
1. List supported resources
1. Swagger lookups [#3060](https://github.com/GoogleCloudPlatform/kubernetes/issues/3060)
1. --name, --name-suffix applied during creation and updates
1. --labels and opinionated label injection: --app=foo, --tier={fe,cache,be,db}, --uservice=redis, --env={dev,test,prod}, --stage={canary,final}, --track={hourly,daily,weekly}, --release=0.4.3c2. Exact ones TBD. We could allow arbitrary values -- the keys are important. The actual label keys would be (optionally?) namespaced with kubectl.kubernetes.io/, or perhaps the user’s namespace.
1. --annotations and opinionated annotation injection: --description, --revision
1. Bulk updates (similar to get, create, delete)
1. Imperative updates. We'll want to optionally make these safe(r) by supporting preconditions based on the current value and resourceVersion.
1. label updates: addlabel, rmlabel, changelabel
1. annotation updates: addannotation, rmannotation, changeannotation
1. more user-friendly on-command-line json for patch
1. We also want to support the following flavors of more general updates:
1. whichever we don’t support:
1. safe update: update the full resource, guarded by resourceVersion precondition (and perhaps selected value-based preconditions)
1. forced update: update the full resource, blowing away the previous Spec without preconditions; delete and re-create if necessary
1. diff/dryrun: Compare new config with current Spec
1. submit/apply/reconcile/ensure/merge: Merge user-provided fields with current Spec. Keep track of user-provided fields using an annotation -- see [#1702](https://github.com/GoogleCloudPlatform/kubernetes/issues/1702). Delete all objects with deployment-specific labels.
1. --dry-run for all commands
1. Support full label selection syntax, including support for namespaces.
1. Wait on conditions [#1899](https://github.com/GoogleCloudPlatform/kubernetes/issues/1899)
1. Make kubectl scriptable: make output and exit code behavior consistent and useful for wrapping in workflows and piping back into kubectl and/or xargs (e.g., dump full URLs?, distinguish permanent and retry-able failure, identify objects that should be retried)
1. Here's [an example](http://techoverflow.net/blog/2013/10/22/docker-remove-all-images-and-containers/) where multiple objects on the command line and an option to dump object names only (`-q`) would be useful in combination.
1. Easy generation of clean configuration files from existing objects (including containers -- podex) -- remove readonly fields, status
1. Export from one namespace, import into another is an important use case
1. Derive objects from other objects
1. pod clone
1. rc from pod
1. --labels-from (services from pods or rcs)
1. Kind discovery (i.e., operate on objects of all kinds) [#3233](https://github.com/GoogleCloudPlatform/kubernetes/pull/3233)
1. A fairly general-purpose way to specify fields on the command line during creation and update, not just from a config file
1. Extensible API-based generator framework (i.e. invoke generators via an API/URL rather than building them into kubectl), so that complex client libraries don’t need to be rewritten in multiple languages, and so that the abstractions are available through all interfaces: API, CLI, UI, logs, ...
1. Need schema registry, and some way to invoke generator (e.g., using a container)
1. Convert run-container to API-based generator
1. Transformation framework
1. More intelligent defaulting of fields (e.g., [#2643](https://github.com/GoogleCloudPlatform/kubernetes/issues/2643))
1. Update preconditions based on the values of arbitrary object fields.
1. Deployment manager compatibility on GCP: [#3685](https://github.com/GoogleCloudPlatform/kubernetes/issues/3685)
TODO:
* watch
* ssh [#1513](https://github.com/GoogleCloudPlatform/kubernetes/issues/1513)
* attach [#1521](https://github.com/GoogleCloudPlatform/kubernetes/issues/1521)
* image/registry commands
* do any other server paths make sense? validate? generic curl functionality?
* template parameterization
* dynamic/runtime configuration
Server-side support:
Only finishing v1beta3 is a requirement for 1.0. The others are strong nice-to-haves.
1. Finish v1beta3
1. Default selectors from labels [#1698](https://github.com/GoogleCloudPlatform/kubernetes/issues/1698#issuecomment-71048278)
1. List supported resources [#2057](https://github.com/GoogleCloudPlatform/kubernetes/issues/2057)
1. Stop [#1535](https://github.com/GoogleCloudPlatform/kubernetes/issues/1535)
1. Deleted objects [#2789](https://github.com/GoogleCloudPlatform/kubernetes/issues/2789)
1. Clone [#170](https://github.com/GoogleCloudPlatform/kubernetes/issues/170)
1. Resize [#1629](https://github.com/GoogleCloudPlatform/kubernetes/issues/1629)
1. Useful /operations API: wait for finalization/reification
1. Readiness [#620](https://github.com/GoogleCloudPlatform/kubernetes/issues/620)
1. Reverse label lookup [#1348](https://github.com/GoogleCloudPlatform/kubernetes/issues/1348)
1. Field selection [#1362](https://github.com/GoogleCloudPlatform/kubernetes/issues/1362)
1. Field filtering [#1459](https://github.com/GoogleCloudPlatform/kubernetes/issues/1459)
1. Operate on uids

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3. OS + kernel + Docker
### Workload deployment and management
1. Kubectl fully replaces kubecfg [#2144](https://github.com/GoogleCloudPlatform/kubernetes/issues/2144)
1. Graceful termination. [#1535](https://github.com/GoogleCloudPlatform/kubernetes/issues/1535)
2. Resize. [#1629](https://github.com/GoogleCloudPlatform/kubernetes/issues/1629)
3. Config generators integrated into kubectl.
4. Rolling updates. [#1353](https://github.com/GoogleCloudPlatform/kubernetes/issues/1353)
2. Kubectl can perform bulk operations (e.g., delete) on streams of API objects [#1905](https://github.com/GoogleCloudPlatform/kubernetes/issues/1905)
See the [CLI/configuration roadmap](cli-roadmap.md) for details.
## Productionization
1. Scalability