Kafka Lambda architecture with mirroring
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This document outlines a master plan for a lambda architecture that involves mirroring data from multiple Kafka clusters into a Hadoop cluster for batch processing and analytics, as well as real-time processing using Storm/Spark on the mirrored data in the Kafka clusters, with data from various sources integrated into the Kafka clusters with the topic name "Data".
Kafka Lambda architecture with mirroring
- 1. Hadoop Cluster Hadoop Cluster Speed Layer Storm/Spark (Real time processing) Batch Layer Analytics ELT Kafka Cluster (Mirror) Mirroring Kafka Cluster Hadoop Client for Camus Hive/Pig DWH HBase Master Plan (Lambda Architecture) Variety Sources REST/IS
- 2. Kafka Cluster A REST/IS REST/IS Kafka Cluster B Mirroring Kafka Cluster C Kafka Cluster D Topic : “Data” Topic : “Data” Kafka (Mirroring) Configuration Integration of all the sources coming to cluster A and B with topic Name “Data” Integration of all the sources coming to cluster A and B with topic Name “Data” Host Configuration -Quad-Core AMD Opteron(TM) Processor -8GB RAM -320Gb Batch Layer (Writing the data into hadoop cluster) Speed Layer (Feeding data from Kafka to Storm )