At small scale any log store works; at scale the invoice decides, not the feature list. The four dominant logging backends make fundamentally different storage bets that fix their cost-per-GB and what queries are even fast. A deep dive on the index-everything camp versus the cheap-storage camp, and the ingest discipline that beats all of them.
Loki
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Modern Logging Architecture: Loki, Splunk, Elasticsearch, ClickHouse, and the Cost-Per-GB That Decides Everything -
Alloy: The OpenTelemetry Collector from Grafana Grafana Alloy replaces Grafana Agent, Grafana Agent Flow, and promtail with a single programmable OpenTelemetry collector. Here's how it works, how to deploy it, and how to build real pipelines with it.
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Loki for Log Aggregation: Ship, Query, and Correlate Your Logs A complete technical guide to Grafana Loki — covering architecture, log shipping with Promtail and Alloy, LogQL queries, Grafana integration, alerting rules, and label strategy for homelabbers and DevOps engineers adding logs to their observability stack.
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Monitoring and Observability: From the Golden Signals to a Complete Self-Hosted Stack What to measure and why — RED, USE, the Four Golden Signals, percentiles, and error budgets — then a production-grade, self-hosted stack built on Prometheus, Grafana, Loki, and Alertmanager. Full Docker Compose, configs, alert rules, dashboards, and integration tips for any VPS or homelab.
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Effective Log Management Strategies Logs are cheap to produce and expensive to keep, and most teams get the economics backwards. A practical guide to log management as a discipline: structured logging, log levels that mean something, the cost-and-cardinality model, what to sample or drop before ingest, retention and tiering, PII redaction, and how logs fit alongside metrics and traces.