Kafka customers element real-time knowledge advantages

Kafka customers element real-time knowledge advantages

Kafka occasion streaming know-how helps automakers produce quick automobiles and bikes.

On the Kafka Summit Europe digital convention on Could 12, a number of main firms outlined how they’re utilizing Kafka, as new choices emerge to make it simpler to function and deploy Kafka.

The open supply Apache Kafka know-how gives knowledge streaming capabilities that helps organizations use real-time knowledge.

On the Kafka Summit, Confluent, one of many main contributors to the Kafka undertaking, launched new industrial providers, together with a Kafka for Kubernetes providing that may allow customers to run the know-how on premises and in cloud-native environments.

Among the many customers who spoke about how they use Kafka in manufacturing environments was a consultant from automaker BMW Group.

In a keynote session, Felix Bohm, product supervisor IoT plant options and knowledge streaming, talked about how Kafka helps the automaker enhance operations. 

Bohm defined that BMW Group wanted to supply knowledge to all of its purposes, from completely different sources throughout its manufacturing course of. BMW additionally needed to decouple knowledge from being tethered to a particular piece of {hardware} or system, to allow extra flexibility. BMW additionally needed to have higher insights into the place knowledge was coming from.

BMW is utilizing Kafka in its operations to stream knowledge and supply perception into the place knowledge is coming from, making it potential to raised perceive real-time occasions. The higher visibility into real-time knowledge may also help guarantee stability, which is critically necessary for the automaker, Bohm stated.

“Stability is de facto key in manufacturing, as a couple of seconds outage or a couple of minutes outage can value you fairly some huge cash when the crops are shut down and other people need to go dwelling,” Bohm stated.

Rushing forward with Kafka at Porsche

BMW Group is not the one car producer that has embraced Kafka. In a consumer session, Sridhar Mamella, knowledge streaming supervisor at Porsche AG, defined how the high-end automobile maker is utilizing real-time knowledge with Kafka.

“At Porsche, it is all about pace and quick automobiles equals quick knowledge,” Mamella stated. “Porsche is on path to turning into a real-time firm.”

Mamella stated Porsche has deployed Kafka on such purposes as delivering notifications to completely different areas of the manufacturing course of.

In one other consumer session, Naresh Yegireddi, lead knowledge engineer for the Sony PlayStation system, defined how the gaming platform vendor is benefiting from real-time knowledge streaming with Kafka.

Taking part in forward with Kafka in actual time 

Yegireddi stated Sony PlayStation makes use of Kafka to stream knowledge from completely different sources into operational knowledge shops the place the information may be analyzed. One software through which Tegireddi’s crew is utilizing Kafka is to deal with worth comparisons throughout completely different gaming publishers and distributors. Within the interactive gaming business, shoppers have many selections and plenty of on-line marketplaces the place they purchase video games, and pricing is ultra-competitive.

“There may be all the time a risk that if we are able to get to know concerning the insights of what our opponents worth matrix seems like, that can be tremendous helpful for our pricing crew to give you methods to be aggressive on a regular basis,”  Yegireddi stated.

Kafka going cloud native for real-time knowledge

Through the opening keynote, Confluent co-founder and CEO Jay Kreps launched a sequence of recent providers designed to additional popularize Kafka.

Kreps is likely one of the creators of Kafka, which was developed whereas he was working at LinkedIn.

Kreps famous that managing the information related to real-time streaming generally is a problem from a knowledge governance perspective. To that finish, Confluent now has knowledge governance providers for its Confluent Cloud platform accessible in early entry for patrons. Kreps stated the service integrates knowledge high quality, knowledge catalog and knowledge lineage performance.

“This actually expands using knowledge throughout an organization in a means that is frictionless and proper,” Kreps stated. “It begins to maneuver up the stack into getting high-quality knowledge and never simply bytes, to all of the individuals who want it.”

Kreps additionally revealed the overall availability of the Confluent for Kubernetes service, which is meant for personal cloud and on-premises deployments. With Confluent for Kubernetes, organizations can deploy a commercially supported occasion of Kafka into an current container deployment that’s operating Kubernetes.

“This is not a completely managed providing; it is one thing that that you simply run your self in in a personal cloud atmosphere,” Kreps stated. “We may also help corporations do that of their on-premises environments and this could join up into our cloud atmosphere and hyperlink transparently, to essentially act as one cloth for knowledge streams.”

 

 

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