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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

DASHBOARD APPLICATION FOR LOG AND DATA ANALYTICS

K. Lahari A. Vipinchandra R. Sindhuja I. Gowtham

A. Sarala Devi

Department of CSE (Data Science) ACE Engineering College Hyderabad Telangana India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

A dashboard application for log and data analytics provides a place to collect, process and visualize large amounts of system data. This application lets users monitor logs away find patterns and get useful insights through charts, graphs and key performance indicators. It combines data from servers, applications and databases. Turns log data into meaningful information. The system helps users filter, search and group logs quickly to find problems and performance issues. The application has advanced features like access control, alerts and customizable dashboards to make it easy and secure to use. It also handles data preparation and storage to ensure it can handle a lot of data and perform well. By using technology the application provides an easy-to-use interface that makes complex data analysis simple. A dashboard application, like this is helpful for organizations to make their systems more reliable improve performance and make decisions based on data. Overall it is a tool that turns log data into valuable insights to help manage IT infrastructure effectively.

How to Cite this Paper

Lahari, K., Vipinchandra, A., Sindhuja, R. & Gowtham, I. (2026). Dashboard Application for Log and Data Analytics. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.193

Lahari, K., et al.. "Dashboard Application for Log and Data Analytics." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.193.

Lahari, K.,A. Vipinchandra,R. Sindhuja, and I. Gowtham. "Dashboard Application for Log and Data Analytics." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.193.

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References

[1] Elastic NV has a lot of information about Kibana on their website at https://www.elastic.co/kibana.

[2] Grafana Labs also has a website with documentation about Grafana at https://grafana.com/docs.

[3] If you want to learn about Splunk Enterprise you can find the documentation on the Splunk Inc. Website at https://docs.splunk.com.

[4] Microsoft has a lot of information about Azure Monitor Logs on their website at https://learn.microsoft.com.

[5] I also came across the work of Scott Murray, who does Interactive things. I did not find a specific website for this.

 

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 10 2026
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