Apache Kafka and Elastic Stack: Key Big Data Use Cases Explained

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A new technical series on DEV Community explores how Apache Kafka and the Elastic Stack (ELK/ECK) function as foundational tools in modern Big Data architectures. Kafka serves as a distributed streaming platform, decoupling data producers from consumers to handle high-throughput workloads such as activity tracking, microservice event sourcing, real-time ETL, and change data capture. Elasticsearch complements Kafka by providing fast, scalable indexing and search capabilities, enabling use cases like log management, security event monitoring, and application performance tracking. Together, the two technologies allow organizations to ingest, process, and analyze massive data volumes in near real time. The article is the first in a planned series covering search and streaming technologies in data-driven environments.

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