Тэги:
#confluent #apache_kafka #streams #logs #hadoop #open_source #streaming #platform #applications #apps #real-time #processing #data #Multi-Datacenter #monitoring #developers #operations #ops #java #.net #messaging_queue #distributed #fault-tolerant #publish #subscribe #pipelines #kafka_tutorial #kafka_introduction #kafka_introduction_for_beginners #kafka_introduction_tutorial #apache_kafka_tutorial #apache_kafka_tutorial_for_beginners #apache_kafka_explained #kafka #data_in_motion #event_streaming #softwareКомментарии:
i am new to the cloud platform. I have schema file as .pb file. Now i wanted to convert the .pb file into json. Can you help me to change the file into json? The reason is, i am migrating the google IOT dataflow into Azure IOT hub.
ОтветитьBad explanation
ОтветитьConfluent it not stable n shoddy product..wasted lot of my time on it..avro is top of the list..
ОтветитьKafka is problably more important than kubernetes when talking about modern systems.... don't hate me k8ers, i know how k8s is awesome too.
ОтветитьI keep seeing Simon Pegg
ОтветитьThis series isn't very intuitive. Use of diagrams would have been great.
ОтветитьHey Tim! I'm wondering if wouldn't make sense in the near future having AsyncAPI included (in some way) into schema registry. Bad idea ? Why not centralize specification and service documentation regarding our asynchronous microservices connected to kafka in a central spot, which is inherently coupled to producers and consumers (and maybe providing html doc for human as well). Thoughts?
ОтветитьI love this guy! Thank you!
ОтветитьGreat Presentation Tim !!!! I always get affected by your passion for Kafka !!!
ОтветитьQusetion In real life , what would be best practice to deploy a new schema changes , would you stop cosumer and producer during that time you doing schema changes ?
Ответить