This article compares Thanos and VictoriaMetrics as long‑term storage solutions for Prometheus, evaluating their architecture, write and read paths, reliability, consistency, performance, scalability, high‑availability, and hosting costs to help you choose the most suitable option for your monitoring stack.
This article provides a detailed analysis of Thanos' architecture, explaining each core component—Query, Sidecar, Store Gateway, Ruler, Compact, and the upcoming Receiver—how they enable global view, high availability, and long‑term storage for distributed Prometheus deployments, and discusses design trade‑offs and optimization strategies.
This guide explains the background, key features, architecture, and step‑by‑step deployment of Thanos—including Sidecar, Store, Query, Compact, Bucket, Rule, and Check components—to provide a unified, high‑availability Prometheus monitoring view with unlimited historical data storage using object storage.
This article explains why Kafka can be used for permanent data retention, outlines practical use cases such as event logging, cache rebuilding, stream recomputation, and database change capture, and clarifies why Kafka is a stream‑processing platform rather than a traditional message queue or database.
