ELK Training

Innovians Technologies provides professional level for Elk Training based on current industry standards. Elk Stack, or more recently Elastic Stack, is a powerful collection of three open source tools: Elasticsearch, Logstash, and Kibana. The three different products are most commonly used together for performing log analysis in varying IT environments. ELK Stack allows users to perform centralized logging. This helps in identifying the problems with the web servers or applications by searching through all the logs at a single place and identifying the issues all throughout multiple servers by correlating their logs, all within a specific time frame.

Areas where Elk Stack is used:

With more and more IT infrastructures switching to the cloud platforms, the need for public cloud security tools and log analytics platforms is increasing everyday. Organizations generate a huge amount of data is on a daily basis, a considerable amount of which is composed of the company’s web server logs. Logs are one of the most important and often-neglected sources of information, as they contain invaluable pieces of information which are mostly unstructured. Without a careful and detailed analysis of this log data, an organization can remain unaware to both improvements as well as threats. This is where the log analysis tools come in handy. Elastic Stack is a capable log analysis solution which helps in deep searching, analyzing and visualizing the log generated from different machines.

Features and advantages of Elk Stack:

• Elastic stack is easy to scale and is very reliable as well. It is an important feature which helps to simplify the complex architectures and save time during the implementation of projects.
• It has an expansive, open source and Easy to use interface, with various APIs to use to ease the programmer’s load.
• Availability of a number of Tools, as well as a vast community which regularly updates and introduces new capablities to the stack. 

Who can get Benefits from this Training?

• Big data analytics engineers.
• Web/Business analysts.
• Web administrators.
• Technical managers.