• Juily A. Kulkarni
• Shivani S. Joshi
• Shriya S. Bapat
• Ketaki V. Jambhali

Log data is an important and valuable resource for understanding system status and performance issues. System logs record system states and significant events at various critical points to help debug performance issues and failures, and perform root cause analysis. The log format is the standard log format which contains timestamp, process name, message, log type, id etc. These logs are analyzed to detect any sequence of events which provide us with the patterns necessary for further implementation. From these patterns future critical situations like memory issues, network failure, machine shutdown etc. are found. After detecting these critical situations auto remediation is done by sending alert messages or notifications stating the error which can occur and remedial measures like system restart, code re-execution etc. are carried out by the system which will help in avoiding these future critical situations and help protect the system.

Machine logs, Logstash, Elasticsearch, Anomalies, LSTM, Apriori algorithm, Auto-remediation

"Analysis of Machine Logs to Detect Patterns and Perform Auto-remediation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.139-140, May-2019, Available :http://www.jetir.org/papers/JETIR1905A23.pdf

"Analysis of Machine Logs to Detect Patterns and Perform Auto-remediation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp139-140, May-2019, Available at : http://www.jetir.org/papers/JETIR1905A23.pdf