Kafka Streams has an edge over Service Fabric ?

Compared against the .NET/Azure offerings, the level of abstraction enabled by Kafka Streams for event processing while exploiting underlying Kafka message-topic-queue patterns is pretty neat. 
 
Did come across an interesting framework that used C# libraries over Kafka Streams by @tonysneed in GitHub too here : https://wp.me/pWU98-1v2
 
Hope Service Fabric Mesh Reliable Actor or similar offerings from Azure catches up with Kafka Streams in terms of seamless integration for distributed event processing.
 
For a start, assuring messages are processed 'exactly-once' is a basic requirement for most distributed systems. Yet to come across native frameworks in the .NET world that use Azure/Akka.NET streams/Service Fabric Mesh or the likes that enable essential distributed capabilities like 'exactly-once' and others with minimal developer effort :!

#azure #kafka #confluent #kafkastreams #eventsourcing #akka #distributedcomputing #cloudarchitecture

Software Engineering lost in the cloud?

It would seem the cloud is making you a lazy software engineer. Engineers these days are now have a ready answer for most of the architectural and design concerns - "its taken care at the cloud". This perception is scary and appears to makes any tom-dick-harry engineer with minimal to zero computer/software knowledge "become" "master" software-engineer overnight. This halo is bothering. Whatever happened to clean code / patterns essential to designing your software during the days of distributed computing setup in local clusters ? Perhaps none today cares about minimizing traffic across nodes and syncing time across nodes nor time sharing and optimizing resources during your minimal time at the node. Not sure the solution for this until you are choked to become yet another Harry. hashtag