Observed Signal · Jul 2, 2026 · Technical Guide · Source: DEV Community · Impact: 2/5 · Sentiment: Neutral
Grafana + Loki + Promtail + Prometheus Monitoring Guide
A step-by-step technical guide (in Portuguese) demonstrating how to build an observability stack with Grafana, Loki, Promtail and Prometheus using Docker Compose. The article provides complete example configuration files (docker-compose.yml, loki-config.yaml, promtail-config.yaml, prometheus.yml), sample Prometheus scrape and Loki/Promtail log collection setups, Grafana data source URLs, example queries, panel configuration and alert rules, sizing recommendations, common troubleshooting tips, and suggested next steps for production readiness such as structured logs and service discovery.
Practical, actionable observability configuration for popular open-source APM tools; useful for engineering teams but not industry-shifting.
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Key Takeaways & Evidence Grounding
- The guide configures a full observability stack: Loki for logs, Promtail for log collection, Prometheus for metrics and Grafana for visualization.
- Provided docker-compose.yml uses images grafana/loki:2.9.0, grafana/promtail:2.9.0, grafana/grafana:10.0.0 and prom/prometheus.
- Loki config uses boltdb-shipper with schema v13 (from 2024-01-01) and a retention_period of 168h.
- Promtail is set to push logs to Loki at http://loki:3100/loki/api/v1/push and scrapes WildFly log files from host paths mapped into the container.
- Prometheus config sets a global scrape_interval of 15s and a job 'syndata' with metrics_path '/syndata-com/actuator/prometheus' targeting homologacao-j17.sistemalivre.com.br; the guide also provides Grafana queries, panel setup and an alert rule (avg_over_time(up{job="syndata"}[2m]) < 1 with FOR: 5m).
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