## About the changes
client-metrics-schema is less strict than proxy-metrics-schema because
the former allows empty `instanceId` and also supports dates as
timestamps as well as date-formatted strings.
Using the same schema makes sense to reduce maintainability costs and
it's less error-prone if we need to modify the schema because underlying
the schema they both use the same code.
The reasoning is that proxy metrics should align with our client
metrics. Alternatively, we have new endpoints for edge metrics that will
aggregate and bucket by client.
![image](https://user-images.githubusercontent.com/455064/222738911-4c443e02-3072-4042-bfde-327da8dd46fe.png)
## Discussion points
Will we ever want to evolve proxy-metrics differently than
client-metrics? I'm under the assumption that the answer is no
* This PR adds a configurable maxAge header to the CORS middleware. This
allows the preflight request to be cached so that we can reduce the
request load on our end for the frontend clients starting to utilise the
frontend api.
Signed-off-by: andreas-unleash <andreas@getunleash.ai>
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This PR implements the `all` endpoint of unleash-proxy, by adding an
experimental flag that can control the behaviour
## About the changes
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Signed-off-by: andreas-unleash <andreas@getunleash.ai>
* feat: use unleash flags for embedded proxy
* feat: add a separate flag for the proxy frontend
* fix: setup unleash in dev
* fix: check flagResolver on each request
* fix: remove unleash client setup
* refactor: update frontend routes snapshot
* refactor: make batchMetrics flag dynamic
* fix: always check dynamic CORS origins config
* fix: make conditionalMiddleware work with the OpenAPI schema generation
Co-authored-by: olav <mail@olav.io>
* refactor: remove unused API definition routes
* feat: add support for proxy keys
* feat: support listening for any event
* feat: embed proxy endpoints
* refactor: add an experimental flag for the embedded proxy