1-844-696-6465 (US)        +91 77600 44484        help@dezyre.com

Real time log processing using streaming architecture 2

In this hackerday, we will be performing a real time processing of log entries from applications, using Kafka for the streaming architecture in a microservice sense.

Users who bought this project also bought

What will you learn

  • Re-state the case for real-time processing of log files
  • Run through our application and real-time log collection using Flume Log4J appenders
  • Flume Kafka Integration (Channels or Sink)
  • Kafka Stream
  • Kafka Connect
  • Extending our architecture in a microservice world

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.


  • Cloudera QuickStart VM

Project Description

In our last hackerday session, we built on a previous topic of log processing by using the speed layer of the lambda architecture. We performed a real time processing of log entries from application using Spark Streaming, storing the final data in a hbase table.

In this hackerday session, we will repeat the same objectives using another set of real time technologies. The idea is to compare both approaches of doing real time data processing which will soon become mainstream in various industries.

We will be using Kafka for the streaming architecture in a microservice sense.

One highlight of this hackerday will be students having to compare the spark streaming approach vs the Kafka-only approach. This is a great session for developers, analyst as much as architects.

Note: It is worthy of note that the Cloudera QuickStart VM does not have Kafka. We intend to work around that. So come prepare to do Kafka Installation in Cloudera quickstart vm.



Big Data & Enterprise Software Engineer

I am passionate about software development, databases, data analysis and the android platform. My native language is java but no one has stopped me so far from learning and using angular and node.js. Data and data analysis is thrilling and so are my experiences with SQL on Oracle, Microsoft SQL Server, Postgres and MyS see more...