{"repo":"daviaraujocc/lgtm-stack","free":true,"listed":false,"github":"https://github.com/daviaraujocc/lgtm-stack","clone":"git clone https://github.com/daviaraujocc/lgtm-stack.git","description":"A step-by-step to install LGTM Stack + Opentelemetry Collector","language":"Makefile","stars":99,"topics":["gcp","grafana","helm","kubernetes","lgtm","mimir","opentelemetry","tempo"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"🇺🇸 English 🇧🇷 Português (Brasil) 🔍 LGTM Stack for Kubernetes Introduction The LGTM stack, by Grafana Labs, combines best-in-class open-source tools to provide comprehensive system visibility, consisting of: - Loki : Log aggregation system https://grafana.com/oss/loki/ - Grafana : Interface & Dashboards https://grafana.com/oss/grafana/ - Tempo : Distributed tracing storage and management https://grafana.com/oss/tempo/ - Mimir : Long-term metrics storage for Prometheus https://grafana.com/oss/mimir/ With this stack, we have a complete observability solution that covers logs, metrics, and traces, with support for high availability and scalability, plus all data will be present in a single location (grafana), making it easier to analyze and correlate events, and by using object storage as a backend, the solution becomes much more economical compared to others that require dedicated databases or persistent disks. Table of Contents Click to expand - Architecture - Hardware Requirements - Getting Started - Prerequisites - Installation - Option 1: Makefile - Option 2: Manual Installation - Setup - Choose Your Environment - Local - GCP Production Setup - Install Dependencies - Testing - Access Grafana - Sending Data - Loki (Logs) - Tempo (Traces) - Mimir (Metrics) - OpenTelemetry - OpenTelemetry Collector - Flask App Integration - Testing the Integration - Extra Configuration - Loki Labels Customization - Uninstall Architecture The architecture of the LGTM stack in a Kubernetes e","default_branch":null,"files":null,"tree":[],"storefront":"/r/daviaraujocc","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/daviaraujocc/lgtm-stack/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}