Editing Category:INFOSYS DGRAM ELK (section)

==Training on INFOSYS DGRAM ELK  KT Part 2. Dated 05 June 2026 - Tetra Support Staff - Prashant==

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'''Video summary:''' Part 2 of a KT session on the ELK-based observability platform built for the Infosys DGRAM project. Explains the basic data flow taught by analogy to Prometheus+Grafana: an Elastic Agent installed on each monitored server collects logs/metrics and ships them to Elasticsearch, which Kibana then queries to render dashboards (Logstash sits optionally in between as a filtering/transform pipeline, but isn't heavily used here since Elastic Agent already does most of that collection work natively). Describes the two clusters built for this client: a smaller "search cluster" (8 nodes: 3 combined master+data Elasticsearch nodes, 1 machine-learning-role node, 2 Kibana, 2 Logstash) and a much larger 19-node "observability cluster" (11 Elasticsearch nodes including warm-tier nodes plus 3 machine-learning-role nodes, 2 Kibana, 2 Fleet servers, 2 APM nodes, 2 Logstash). Also introduces Fleet, Elastic's centralized agent-management service, which lets them configure and monitor every Elastic Agent across the fleet from one place (a handful of commands to enroll a new agent) rather than configuring each server's agent by hand.