Prometheus vs Zabbix
Pull-based metrics and PromQL built for cloud-native services against agent-based monitoring with an SQL backend, templates and SLA reports for servers and networks. Covers licensing, LTS support and which fits mixed estates.

Comparisons anchored on Prometheus, the Apache-2.0 metrics and alerting system.
Pull-based metrics and PromQL built for cloud-native services against agent-based monitoring with an SQL backend, templates and SLA reports for servers and networks. Covers licensing, LTS support and which fits mixed estates.
Two ways to give Prometheus long-term, highly available storage in object storage: Thanos components added beside existing Prometheus servers (sidecar or Receive) against Mimir's multi-tenant remote-write cluster. Covers Apache-2.0 versus AGPL-3.0, downsampling, multi-tenancy, Mimir 3's Kafka-based ingest path, operating effort and what moving Thanos blocks into Mimir loses.
Long-term Prometheus storage on block storage against object storage: VictoriaMetrics single-node or cluster fed by remote write versus Thanos sidecars or Receive with buckets. Covers data-loss windows, query languages (MetricsQL versus PromQL), ingestion protocols, which features VictoriaMetrics keeps for Enterprise, moving parts and the skills each needs.
Two horizontally scalable Prometheus-compatible metrics stores for large or multi-tenant estates: Apache-2.0 VictoriaMetrics with its single-node option and Enterprise tier against AGPL-3.0 Grafana Mimir with object storage and a Kafka-based ingest path from version 3. Covers dependencies, licensing, query language, scaling claims and day-two operations.
The three-way shortlist for scaling Prometheus beyond one server: Thanos added beside existing Prometheus, Grafana Mimir as a multi-tenant remote-write cluster, and VictoriaMetrics as a single binary or cluster on block storage. Compares licenses (Apache-2.0, AGPL-3.0, Apache-2.0 with an Enterprise tier), storage model, downsampling, multi-tenancy and which suits a small platform team.
Prometheus against VictoriaMetrics as a long-term metrics store or drop-in replacement: PromQL versus MetricsQL, single-node and cluster versions, ingestion protocols, which features VictoriaMetrics keeps for Enterprise, and storage and memory trade-offs.
Clears up a common confusion: Prometheus collects and stores metrics while Grafana visualizes data from Prometheus and many other sources. Explains what each does, how they fit together, their licenses and when you need both.
A metrics database and scraper against a vendor-neutral standard and collector for metrics, traces and logs. Explains where they overlap, how OpenTelemetry data reaches Prometheus, and how to design instrumentation that avoids lock-in.
Three generations of open-source monitoring compared: pull-based metrics, agent-based infrastructure monitoring and plugin-based checks. Covers licenses, architecture, alerting, configuration effort and fit for cloud-native versus traditional estates.

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