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International Scientific Journal of Contemporary Research in

Engineering Science and Management

|ISSN Approved Journal | Impact factor: 7.521 | Follows UGC CARE Journal Norms and Guidelines|
|Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal|Impact
factor 7.521 (Calculated by Google Scholar and Semantic Scholar| AI-Powered Research Tool| Indexing)
in all Major Database & Metadata, Citation Generator

Abstract

Building A Soc Dashboard Using Splunk

K.SHWETHA, ARTHAM SANJANA, ADI NAVEEN, CHITTIPOLUSAINIKHIL, GANDAMALA RAVITEJA

Abstract

Log data is a definitive record of what's happening in every business, organization or agency and it’s often an untapped resource when it comes to troubleshooting and supporting broader business objectives. Splunk provides the industry-leading software to consolidate and index any log and machine data, including structured, unstructured and complex multi-line application logs. You can collect, store, index, search, correlate, visualize, analyze and report on any machine-generated data to identify and resolve operational and security issues in a faster, repeatable and more affordable way. It's an enterprise ready, fully integrated solution for log management data collection, storage and visualization. Ad hoc queries and reporting across historical data can also be accomplished without third-party reporting software. Splunk software supports log data enrichment by providing flexible access to relational databases, field delimited data in comma- separated value (.CSV) files or to

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