<section class="section" id="scenarios__section_qbw_jnf_qmb"><h2 class="doc-tairway">Log Collection</h2> <p class="p">The unique architecture of Kafka provides low latency processing, distributed data processing, and multiple data sources processing, which is highly consistent with the requirements of log collection. Generally, website data has the characteristics of long duration, large data quantity, complexity, and redundancy. Kafka supports the following operations:</p> <ul class="ul" id="scenarios__ul_vzt_mkx_1mb"> <li class="li">Processes logs simply and sends critical information to the cluster.</li> <li class="li">Asynchronously sends logs of multiple applications to the cluster.</li> <li class="li">Submits and compresses messages in batches, with almost no additional performance costs for producers.</li> <li class="li">Allows consumers to use other analysis systems to analyze logs.</li> </ul> </section> <section class="section" id="scenarios__section_gd1_mnf_qmb"><h2 class="doc-tairway">Data Monitoring</h2> <p class="p">Kafka sends the website data to the cluster for real-time monitoring and data analysis. The website data involves many user operations. The unique architecture of Kafka can address high-throughput data processing requirements.</p> </section> <section class="section" id="scenarios__section_t34_mnf_qmb"><h2 class="doc-tairway">Streaming Data Processing</h2> <p class="p">With the unique distribution mechanism, disk storage space allocation mechanism, and message processing mechanism, Kafka excels in fields that require real-time massive data processing, such as typhoon forecast data analysis, stock data analysis, and AI data processing.</p> </section>