Using Prometheus, Loki, and Grafana to monitor QuestDB in Kubernetes
Blog post from QuestDB
QuestDB is an open-source time-series database designed for high-demand workloads, offering ultra-low latency and high ingestion throughput along with native support for Parquet and SQL to maintain data portability and readiness for AI applications. A tutorial by a QuestDB cloud engineer, Steve Sklar, explores how to utilize popular tools within the Kubernetes ecosystem to build an effective monitoring infrastructure for QuestDB instances. The tutorial outlines steps to deploy a QuestDB instance on a Kubernetes cluster, integrating it with centralized metrics and logging systems using tools such as Prometheus, Loki, Promtail, and Grafana. These tools facilitate real-time analytics, anomaly detection, and debugging to enhance incident recovery and prevention. The process involves configuring Kubernetes and Helm, setting up Prometheus for metrics collection, integrating Loki for log management, and using Grafana to create comprehensive dashboards. This setup aims to provide a scalable, reliable, and efficient monitoring solution for QuestDB deployments in containerized environments.