Docker

The Hidden Costs of Oversized Images Many teams overlook image size during the early stages of containerization. A Spring Boot image often weighs 800MB–1.2GB, and even a Go application image can easily exceed 700MB. The problems caused by oversized images go far beyond “wasting a little disk space”: Slow pulls and deployment latency: In CI/CD pipelines or elastic scaling scenarios, nodes must pull the image before starting the container. A 1GB image takes over 80 seconds to download on a 100 Mbps internal network, while a 50MB image takes just 4 seconds....

Architecture Exporter → Prometheus (storage) → Grafana (visualization) ↓ Alertmanager (alert routing) Docker Compose Deployment version: '3.8' services: prometheus: image: prom/prometheus:v2.52.0 ports: ["9090:9090"] volumes: - ./prometheus.yml:/etc/prometheus/prometheus.yml - ./rules:/etc/prometheus/rules - prom_data:/prometheus command: - '--storage.tsdb.retention.time=30d' restart: unless-stopped grafana: image: grafana/grafana:10.4.2 ports: ["3000:3000"] volumes: [grafana_data:/var/lib/grafana] restart: unless-stopped alertmanager: image: prom/alertmanager:v0.27.0 ports: ["9093:9093"] volumes: [./alertmanager.yml:/etc/alertmanager/config.yml] restart: unless-stopped node-exporter: image: prom/node-exporter:v1.8.1 ports: ["9100:9100"] restart: unless-stopped volumes: prom_data: grafana_data: Core Configuration # prometheus.yml global: scrape_interval: 15s evaluation_interval: 15s rule_files: - "rules/*....

Overview Many teams perceive Docker Compose as merely a “local development orchestration tool.” In reality, for small to medium production scenarios (single node or a handful of nodes), Compose remains a highly cost-effective solution. Its syntax is simple, the learning curve is low, and it doesn’t require a full K8s cluster operations team—yet it handles multi-service orchestration, dependency management, health checks, and resource limits effectively. This article skips basic Compose syntax and focuses on real production pain points: how to manage service dependencies without cascading startup failures, how to write reliable health checks, how to avoid hardcoding secrets in compose files, how to prevent logs from filling up disk space, and when to migrate from Compose to K8s....