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Event streaming as the source of truth

Last updated : May 15, 2018
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
May 2018
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

As event streaming platforms, such as Apache Kafka, rise in popularity, many consider them as an advanced form of message queuing, used solely to transmit events. Even when used in this way, event streaming has its benefits over traditional message queuing. However, we're more interested in how people use event streaming as the source of truth with platforms (Kafka in particular) as the primary store for data as immutable events. A service with an Event Sourcing design, for example, can use Kafka as its event store; those events are then available for other services to consume. This technique has the potential to reduce duplicating efforts between local persistence and integration.

Nov 2017
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

As event streaming platforms, such as Apache Kafka, rise in popularity, many consider them as an advanced form of message queuing, used solely to transmit events. Even when used in this way, event streaming has its benefits over traditional message queuing. However, we're more interested in how people use event streaming as the source of truth with platforms (Kafka in particular) as the primary store for data as immutable events. A service with an Event Sourcing design, for example, can use Kafka as its event store; those events are then available for other services to consume. This technique has the potential to reduce duplicating efforts between local persistence and integration.

已发布 : Nov 30, 2017
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