peay

I am also hitting this. I would argue that the expected behaviour should be ```tf ~ set { name = "resources.requests.memory" ~ value = "xxxMi" -> "yyyMi" } ``` instead...

@andrewsouthard1 I considered this, but it leads to filtering happening directly in the Datadog cloud, and I am interested in reducing traffic to that to start with. Other SDKs (e.g.,...

Thanks for the thoughts @gbbr, that makes sense. Selectively creating spans is definitely an option, although if you're using one of the integrations (e.g., to trace HTTP requests of a...

> This basically means that no APM stats nor APM Analytics events will be generated for these. They will be completely disregarded as if having never existed. Is this outcome...

Is there similar support for Beam's Dataflow runner? (edit: nevermind, just found `DataflowProfilingOptions`)

A use case I have for this is to check that another state that a workspace depends on via Terraform remote state has the right version. With an assertion and...

I have in mind to run this from Jupyter notebooks, to achieve a kind of 'REPL' workflow: edit the dashboard definition in a notebook, periodically preview the result in a...

I would also be interested in this, in the context of reading Avro from DynamoDB instead. Is there a way to mix input sources such as Kafka/DynamoDB/etc. with `spark-avro`? This...

@databus23 any news on this?

@imatiach-msft is this still being pursued?