#eventstreamprocessing — Public Fediverse posts

#Confluent introduces a new approach in #ApacheKafka that moves schema IDs from message payloads to record headers.

✅ Simplify schema governance & evolution.
✅ Improve compatibility across serialization formats
✅ Reduce coupling between data & metadata in event-driven architectures

Read the deep dive on #InfoQ ⇨ https://bit.ly/4tF7Fot

#ML #EventStreamProcessing #ProtocolBuffers #DataPipelines #DataAnalytics

#Confluent introduces a new approach in #ApacheKafka that moves schema IDs from message payloads to record headers.

✅ Simplify schema governance & evolution.
✅ Improve compatibility across serialization formats
✅ Reduce coupling between data & metadata in event-driven architectures

Read the deep dive on #InfoQ ⇨ https://bit.ly/4tF7Fot

#ML #EventStreamProcessing #ProtocolBuffers #DataPipelines #DataAnalytics

#Confluent introduces a new approach in #ApacheKafka that moves schema IDs from message payloads to record headers.

✅ Simplify schema governance & evolution.
✅ Improve compatibility across serialization formats
✅ Reduce coupling between data & metadata in event-driven architectures

Read the deep dive on #InfoQ ⇨ https://bit.ly/4tF7Fot

#ML #EventStreamProcessing #ProtocolBuffers #DataPipelines #DataAnalytics

#Confluent introduces a new approach in #ApacheKafka that moves schema IDs from message payloads to record headers.

✅ Simplify schema governance & evolution.
✅ Improve compatibility across serialization formats
✅ Reduce coupling between data & metadata in event-driven architectures

Read the deep dive on #InfoQ ⇨ https://bit.ly/4tF7Fot

#ML #EventStreamProcessing #ProtocolBuffers #DataPipelines #DataAnalytics

#Confluent introduces a new approach in #ApacheKafka that moves schema IDs from message payloads to record headers.

✅ Simplify schema governance & evolution.
✅ Improve compatibility across serialization formats
✅ Reduce coupling between data & metadata in event-driven architectures

Read the deep dive on #InfoQ ⇨ https://bit.ly/4tF7Fot

#ML #EventStreamProcessing #ProtocolBuffers #DataPipelines #DataAnalytics

https://www.europesays.com/ie/248751/ Building Streaming Infrastructure That Scales: Because Viewers Won’t Wait Until Tomorrow #AmazonWebServices #Architecture #Arts #ArtsAndDesign #ArtsAndDesign #ArtsDesign #Cloud #Design #Development #Éire #Entertainment #EventDrivenArchitecture #EventStreamProcessing #EvolutionBackendStreamingApplication #IE #InfoQDevSummit #InfoQDevSummitMunich2025 #Ireland #Microservices #QConSoftwareDevelopmentConference #Streaming

#Uber introduces a new tiered storage feature in #ApacheKafka!

Added in version 3.6.0 (and currently in early access), this feature aims to solve the scalability and efficiency challenges faced by organizations running large Kafka clusters.

Details on #InfoQ 👉 https://bit.ly/4dssQ5P

#DevOps #DistributedSystems #EventStreamProcessing #SoftwareArchitecture

#Uber introduces a new tiered storage feature in #ApacheKafka!

Added in version 3.6.0 (and currently in early access), this feature aims to solve the scalability and efficiency challenges faced by organizations running large Kafka clusters.

Details on #InfoQ 👉 https://bit.ly/4dssQ5P

#DevOps #DistributedSystems #EventStreamProcessing #SoftwareArchitecture

#Uber introduces a new tiered storage feature in #ApacheKafka!

Added in version 3.6.0 (and currently in early access), this feature aims to solve the scalability and efficiency challenges faced by organizations running large Kafka clusters.

Details on #InfoQ 👉 https://bit.ly/4dssQ5P

#DevOps #DistributedSystems #EventStreamProcessing #SoftwareArchitecture

#Uber introduces a new tiered storage feature in #ApacheKafka!

Added in version 3.6.0 (and currently in early access), this feature aims to solve the scalability and efficiency challenges faced by organizations running large Kafka clusters.

Details on #InfoQ 👉 https://bit.ly/4dssQ5P

#DevOps #DistributedSystems #EventStreamProcessing #SoftwareArchitecture

#Uber introduces a new tiered storage feature in #ApacheKafka!

Added in version 3.6.0 (and currently in early access), this feature aims to solve the scalability and efficiency challenges faced by organizations running large Kafka clusters.

Details on #InfoQ 👉 https://bit.ly/4dssQ5P

#DevOps #DistributedSystems #EventStreamProcessing #SoftwareArchitecture

#CaseStudy - How does HubSpot avoid the build-up in the consumer group lag & prioritize the processing of real-time traffic?

By using multiple #Kafka topics called 'swimlanes': https://bit.ly/3RaA4Bc

Insights on #InfoQ!

#RealTimeData #SOA #SoftwareArchitecture #EventStreamProcessing #ApacheKafka

#CaseStudy - How does HubSpot avoid the build-up in the consumer group lag & prioritize the processing of real-time traffic?

By using multiple #Kafka topics called 'swimlanes': https://bit.ly/3RaA4Bc

Insights on #InfoQ!

#RealTimeData #SOA #SoftwareArchitecture #EventStreamProcessing #ApacheKafka

#CaseStudy - How does HubSpot avoid the build-up in the consumer group lag & prioritize the processing of real-time traffic?

By using multiple #Kafka topics called 'swimlanes': https://bit.ly/3RaA4Bc

Insights on #InfoQ!

#RealTimeData #SOA #SoftwareArchitecture #EventStreamProcessing #ApacheKafka

#CaseStudy - How does HubSpot avoid the build-up in the consumer group lag & prioritize the processing of real-time traffic?

By using multiple #Kafka topics called 'swimlanes': https://bit.ly/3RaA4Bc

Insights on #InfoQ!

#RealTimeData #SOA #SoftwareArchitecture #EventStreamProcessing #ApacheKafka

#CaseStudy - How does HubSpot avoid the build-up in the consumer group lag & prioritize the processing of real-time traffic?

By using multiple #Kafka topics called 'swimlanes': https://bit.ly/3RaA4Bc

Insights on #InfoQ!

#RealTimeData #SOA #SoftwareArchitecture #EventStreamProcessing #ApacheKafka