About Log Analytics – Log data has never been more critical to your business than it is today, but there are many challenges facing the effective exploitation of log data in your business. Logs reside in many different business systems with many different formats, which makes aggregating the log data a costly and time intensive exercise. Many analytical tools require that data be fed to them in specific formats, which do not always end up being the same format that your logs are stored in. Regardless of the hurdles that log data presents, it is still something that needs to be harnessed to your business’ advantage.
Logs can reveal what your applications are doing and how they are being used, so that your business can have a better idea of what opportunities are available to it. Valuable insights are embedded within log data, that can help your business make better decisions and stay agile, regardless of the business size.
Using the right set of tools, analytics can be performed over log data to reveal how your users use your applications and how the applications are performing.
At the core of our log analytics solution is Elasticsearch, a powerful search engine that is designed to search and analyze data in real time. The engine is built on top of the Apache Lucene information retrieval library, which provides it with the robust features and high performance required to bring exceptional speed and intelligence to a log analytics solution.
Combined with Logstash, our solution is able to collect, enrich and transport data to uncover the insights locked inside your log files. Logstash enables the centralization of data processing, using a robust library of plugins to connect to a variety of sources to a central analytics system. Logstash has no problems in normalizing varying schemas, parsing data from many different business system data formats.
For more information on our log analytics solution, fill in the form below or contact our team via our Contact Us page.
Knowledge Focus – Pretoria, Gauteng, South Africa