Kafka Business Use Case
It is deployed successfully in mission critical deployments at scale at silicon valley tech giants startups and traditional enterprises.
Kafka business use case. Most companies in the gaming industry use event streaming with kafka at the heart of their business. Use cases and examples for event streaming with apache kafka exist in every industry. Originally started by linkedin later open sourced apache in 2011.
Metrics apache kafka is often used for operational monitoring data. However connecting to the outside world i e other departments partners 3rd party services. Use cases for event streaming with apache kafka apache kafka is an event streaming platform.
While kafka can be used as more of a storage system for data logs users typically deploy kafka for data processing needs within a larger cloud environment to ensure scalable storage as data storage isn t a common use case for kafka. Also as the apache kafka is an open source platform companies can modify the set of operations as per the convenience. It provides messaging persistence data integration and data processing capabilities.
Messaging kafka works well as a replacement for a more traditional message broker. Kafka storm pipeline kafka can b. For an overview of a number of these areas in action see this blog post.
Kafka is used for building real time data pipelines and streaming apps. It would give us a better idea about the advantages usefulness and the need for this service platform if we go through the use of cases of apache kafka in detail. For these use cases however kafka can be paired with a different transactional or nosql database.
Apache kafka use cases website activity tracking website activity page views searches or other actions users may take is published to central topics and becomes available for real time processing dashboards and offline analytics in data warehouses like google s bigquery. Messaging in comparison to most messaging systems kafka has better throughput built in partitioning replication and fault tolerance which makes it a good solution for large scale message processing applications. In our last kafka tutorial we discussed kafka pros and cons today in this kafka article we will discuss apache kafka use cases and kafka applications.