MedAnd

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@ismaelhamed - nice! PS. I am hoping the "back-end implementation" as used by the App Insights and Azure Monitor platforms will be open sourced 🙂

Any plans to support System.Threading.Channels & IAsyncEnumerable?

Some initial feedback... 1. High, especially if Trill supported distributed (multi-node) clusters like Apache Flink, Google Dataflow etc 2. Able to replace an in-house Service Fabric hosted processing engine with...

A further discussion stimulator... [Batch as a Special Case of Streaming](https://flink.apache.org/news/2019/02/13/unified-batch-streaming-blink.html)

I would use either implementation in a large stream processing application if available today ☺️ I think the functionality offered by Azure Stream Analytics (ASA) is compelling, however on the...

Thoughts on support for Azure Functions? cc @jeffhollan

Wondering if this could be expanded & implemented as [Labels and Selectors](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/) _Labels enable users to map their own organizational structures onto system objects in a loosely coupled fashion, without...

@brentschmaltz - any update on this feature?

@brentschmaltz - more of related topic but hope this will also include guidance on how to configure for multi-issuer scenarios as I could not find in existing docs? For example...