Streamlining Log Processing and Analysis using Hadoop

Top Quote IT operations are getting massive with addition of different operating systems, security devices like firewalls, routers and other applications. End Quote
  • Johnstown, PA (1888PressRelease) September 30, 2012 - Logs generated by all these are adding the challenge of 'Logs Management' which precisely is storage, processing, analysis and security. The data volume is huge and formats lack uniformity. So, what happens to an IT team in such scenario?

    It simply leads to huge operational overheads coupled with resource wastage. Lack of accurate information and insights is sure to affect decision making& resource projections. Volume of log files can result in unmanageable data leading to manipulation. Adding a new log cluster to such system can get difficult and slog system performance.

    Using Hadoop and Pentaho effective log management solution can be architected. While Hadoop is a powerful cloudera based Big Data solution, Pentaho is a data integration and business intelligence solution based on Open Source platform. In this framework, logs can be fetched from all applications to process them simultaneously on cluster of machines. This processed data can be exported to MySQL to generate reports using Pentaho.

    Experienced Hadoop consulting service provider must be consulted before deployment. Prior experience of vendor in Pentaho & Hadoop implementation will ensure to address existing challenges and requirements while providing log management solution. A skillful Hadoop consulting provider will consider 360-degree view into employee usage patterns allowing them to easily relocate resources effectively to meet the requirements. While considering the framework, vendor must ensure scalability to easily accommodate any number of new log sources to the existing solution. The proposed solution offers cost advantage through non dependence on high end storage networks.

    CIGNEX Datamatics pioneering in providing Open Source solution used Apache Flume with HDFS (Hadoop Distributed File System) to architect log management solution. Map Reduce analyzed the logs and generated summary files for every log cluster in this set-up. The summary stored in HDFS exported to MySQL using Sqoop. Now, this data is ready for generating reports using Pentaho. The solution has rich user interface with accessibility through mobile devices and tablets enabling the uninterrupted 24*7 support. To know more about Log processing and analysis solution, visit

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