Improve Helm install experience about riff HOT 9 CLOSED

One thing that might help is to pre pull the zookeeper image using:

eval $(minikube docker-env)
docker pull wurstmeister/zookeeper:3.4.6

That way the zookeeper image is already on the minikube and should start faster.

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Combined with tweaking the values for the probes #98, that's a start to a smoother install/demo experience

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I guess we could add an init-container for the Kafka pod that waits for ZK to be available.

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it's also the topic-gateway, topic-controller and zipkin needs zk/kafka, although if the zookeeper image is available I typically don't see pod restarts

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I have found the helm install not to be too painful (usually each pod that depends on zookeeper has 1 restart) on the cloud (kubo/GKE) with meaty VMs -- is it fair to say this is mainly a minikube issue? There are many tools for orchestrating deployments (logic like "deploy zookeeper, wait for the pod to be ready before deploying the rest"), but when I looked around it seemed like https://github.com/Azure/brigade was popular for this sort of use case.

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One pattern for this (also mentioned in #issuecomment-341781081) is to use an init container.
Another might be the readiness probe.

see https://kubernetes.io/docs/tasks/configure-pod-container/configure-pod-initialization/

I think it's worth investigating both of those to avoid situations like this

On slower network connections it make take longer to stabilize the system after pulling down all the images. Instead of waiting you can try to “purge” the riff components (without deleting the images from the cache) and then reinstall the chart as with the same command as before.

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looking at the readiness and liveness probes may be helpful as well.

jurgen is offended by repeated crashing on startup...

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We might look into adding init containers like this one:

      initContainers:
      - name: init-wait-mysql
        image: busybox
        command: ['sh', '-c', 'until nslookup test-mysql; do echo waiting for mysql; sleep 2; done;']

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This issue has gone stale, we're on Knative now! Please reopen if still relevant.

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