wisswazz

I believe cars with autodrive etc often interpret surroundings by looking at objects moving relative to its surroundings. If an object is first seen by the car when stationary it is much harder for the software to filter it out from the “backdrop”

I really like http://tmrts.com/go-patterns/

Gotcha! So, things like adding Knative eventing which uses serving should be fine while using Cloud Run?

Does this mean that by using Cloud Run GKE I can also leverage the primitives provided by Istio and Knative Serving?

Sure. Agree totally, maybe I misread your previous comment a bit. What I meant is that run-of-the-mill business folks do not necessarily know how business value is created in terms of code and architecture.

Why should they care, or even be in the loop for such a decision? You don’t ask your real estate agent on advice for fixing you electrical system I guess?

Try searching for the contents in a body of an issue in GitLab…

Last week I did a test of Linkerd with Zipkin for k8s clusters. Works like a charm, buy still a bit more work to use Jaeger as Zipkin replacement, as they do not support the same protocols yet. I believe https://github.com/linkerd/linkerd-zipkin will fix that but haven't tested yet.