IMPLEMENTATION LOG MANAGEMENT SYSTEM OF COMPUTER NETWORK DEVICES INFRASTRUCTURES BASED ON ELK STACK

 Dec 2021 - Present

Dec 2021 - Present

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  Associated with City University (BD)

• Having good decision support is absolutely necessary nowadays because of the need to improve and gain value. For any organization, it is vital to obtain accurate knowledge of inventory level is key for staying in business and making it a profitable one. If inventory tracking is not efficient it could lead to major trouble in any business.

  
  

  For a business to thrive, it is essential to find the ideal level of inventory where it can sufficiently meet demand without under or overstocking value from anything it can. To understand the flow of any business it is essential to ensure the profitability of the product and the performing level. To make sense of what is happening and what has happened and to get important hints and directions. The impediment in the normal Inventory valuation reports is to obtain support as visualization to get a clear picture, in real time if possible and the solution used needs to be very malleable. To ease in managing data we chose to use Elastic Stack to manage organization data.

  
  

  The process of making sense of a plain database is based on three big steps: collect, process and use. In order to do so and to make sense of all of this, this project proposes to use an Elastic Stack solution, also known as ELK (Elasticsearch, Logstash, and Kibana), to easily and rapidly manage and to search and create the dashboard for better sense to extract valuable information to stand as decision support. In order to achieve that purpose and obtain valuable information from data all components are used to process data and analyze the result to offer support for decision making

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