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Processing
Introducing the Confluent Parallel Consumer
Consuming messages in parallel is what Apache Kafka® is all about, so you may well wonder, why would we want anything else? It turns out that, in practice, there are […]
Multi-Threaded Message Consumption with the Apache Kafka Consumer
Multithreading is “the ability of a central processing unit (CPU) (or a single core in a multi-core processor) to provide multiple threads of execution concurrently, supported by the operating system.” […]
The Curious Incident of the State Store in Recovery in ksqlDB
When operating cloud infrastructure, “time is money” is more than a cliché—it is interpreted literally as every processing second stacks up on the monthly bill. ksqlDB strives to reduce these […]
Stream Processing with IoT Data: Challenges, Best Practices, and Techniques
The rise of IoT devices means that we have to collect, process, and analyze orders of magnitude more data than ever before. As sensors and devices become ever more ubiquitous, […]
Streams and Tables in Apache Kafka: Elasticity, Fault Tolerance, and Other Advanced Concepts
Now that we’ve learned about the processing layer of Apache Kafka® by looking at streams and tables, as well as the architecture of distributed processing with the Kafka Streams API […]
Streams and Tables in Apache Kafka: Processing Fundamentals with Kafka Streams and ksqlDB
Part 2 of this series discussed in detail the storage layer of Apache Kafka: topics, partitions, and brokers, along with storage formats and event partitioning. Now that we have this […]