Jaeger preserves the trace data of router healthz endpoints
which is not so helpful for monitoring function metrics and
consumes storage to store such trace data.
This PR uses `GetStartOptions` to examine the request's path and
check if it's a request to healthz endpoint. If yes, skip and not
to trace it.
To follow 12-factor app rules, make jaeger collector endpoint
as an environment variable instead of CLI args. It's easier to
replace the value in different deployments. Also, we can utilize
valueFrom to get value from the configmap.
The helm pre-upgrade check failed due to the program tries to
check whether a multierr is a nil pointer instead of errors it contains.
This PR changes the way the program checks multierr in order not to block the upgrade.
Helm treats the single line "extraCoreComponentPodConfig" in
values.yaml as a key value pair config.
```
extraCoreComponentPodConfig:
```
And when a user tries to install helm with providing config
like following, it failed.
```
extraCoreComponentPodConfig:
nodeSelector:
serverless: fission
```
The root cause is that helm treats config in default values.yaml
and providing config as two different types of config, which is
key-value vs. value table. And so it's unable for helm to merge these
two configs even with the same key name.
This PR comments out the single line config in default values.yaml
to prevent the issue.
Before this PR, CLI functions fatal out when encountering error
instead of returning it. Such behavior makes it hard to reuse
the functions nor writing unit tests. This PR aims to make functions
return errors instead of error out.
Istio sidecar proxy blocks all requests sent through the reverse proxy
to the target service if the request.Host is not properly set to the
internal target service host. This PR sets the target service hosts
before establishing the proxy for the client in order to pass the
Istio sidecar proxy check.
Tensorflow Serving supports three kinds of API: predict, classify, regress. In order to fully support possible API types, this PR adds code to split the entry point with separator ":" to get model name and the API type separately. And append the API type to proxy URL when receiving the requests.
$ fission fn create --name t1 --pkg <pkg name> \
--env tensorflow --entrypoint "half_plus_two:regress"
The utility function GetMetadata uses wrong flag text to get the resource namespace and could cause the wrong results returned from the API server. This PR changes the function signature that allows users to pass in the flag text in order to get the correct value.
