Individual skill
setting-up-log-aggregation
Execute use when setting up log aggregation solutions using ELK, Loki, or Splunk. Trigger with phrases like "setup log aggregation", "deploy ELK stack", "configure Loki", or "install Splunk". Generates production-ready configurations for data ingestion, processing, storage, and visualization with proper security and scalability.
skills/.curated/setting-up-log-aggregation/SKILL.md
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SKILL.mdcore · 4,599 bytesassets/README.mddoc · 593 bytesassets/dashboard_elk.jsonasset · 4,980 bytesassets/dashboard_loki.jsonasset · 6,968 bytesassets/dashboard_splunk.jsonasset · 4,011 bytesassets/example_log_data.jsonasset · 3,235 bytesassets/loki_config_template.yamlasset · 3,783 bytesassets/splunk_config_template.confasset · 4,508 bytesreferences/README.mddoc · 64 bytesscripts/README.mddoc · 720 bytesscripts/setup_elk.pyruns · 2,623 bytesscripts/setup_loki.pyruns · 2,523 bytesscripts/setup_splunk.pyruns · 2,527 bytes
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# Setting Up Log Aggregation
## Overview
Deploy centralized log aggregation platforms (ELK Stack, Grafana Loki, Splunk) with ingestion pipelines, structured parsing, retention policies, visualization dashboards, and alerting. Configure log shippers (Filebeat, Promtail, Fluentd) to collect from applications, containers, and system logs with proper security and scalability.
## Prerequisites
- Target infrastructure identified: Kubernetes, Docker Compose, or VMs
- Storage requirements calculated: estimate daily log volume and multiply by retention period
- Network connectivity between log sources and aggregation platform (typically ports 9200, 3100, 8088)
- Authentication mechanism defined (LDAP, OAuth, API tokens, or basic auth)
- Resource allocation planned: Elasticsearch needs significant heap memory (minimum 4GB per node)
## Instructions