Editing Technical Training Serssions 2021 Linux Team (section)

==Session Harsh for Team about Infosys-ITD ELK Deployment . Dated 26th Mar 2021 ==

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'''Video summary:''' [PARTIAL TRANSCRIPT QUALITY - heavily garbled Hindi ASR with technical terms frequently mis-transcribed; summary reflects only confidently identifiable content] "ELK Training By Harsh" -- an internal training session on the ELK (Elasticsearch, Logstash, Kibana) stack plus Kafka, using the Income Tax Department of India as a real client example of the architecture. Explains the general log-pipeline pattern: Filebeat-type lightweight shipper agents run on each source device/server to pick up and forward logs; Kafka sits in between as a message broker/buffer so many source devices' logs can be collected without overwhelming the pipeline; Logstash parses and transforms the incoming log data; and Elasticsearch indexes and stores it for fast search. Kibana then provides the graphical dashboard/visualization and search layer on top, including building different reports/visualizations per log type when there are many source servers to monitor. Frames the use cases in relatable terms: comparing it to how large platforms (Facebook, Google) use similar log/event-analytics platforms to detect and moderate problematic content at scale, and describing security/infrastructure use cases like traffic monitoring, alerting, and correlating activity across many devices in an organization's environment. Given the heavy transcription noise throughout, exact configuration steps and commands could not be reliably captured -- this summary reflects only the architecture and concepts that came through clearly.