Data Streaming
This item was not updated in last three versions of the Radar. Should it have appeared in one of the more recent editions, there is a good chance it remains pertinent. However, if the item dates back further, its relevance may have diminished and our current evaluation could vary. Regrettably, our capacity to consistently revisit items from past Radar editions is limited.
Adopt
We still consider this important but in order to reduce clutter we no longer feature it on our tech radar.
Stream processing is a useful technique for processing large volumes of data, and in combination with Event Processing and Streaming SQL, this also becomes a viable way for handling intra-service communication (pub/sub style). It should be preferred over direct intra-service API communication where possible.
Adopt
Stream processing is a useful technique for processing large volumes of data, and in combination with Event Processing and Streaming SQL, this also becomes a viable way for handling intra-service communication (pub/sub style). It should be preferred over direct intra-service API communication where possible.