"Centralized logging is crucial for understanding application behavior in Kubernetes, but the cost of storing those logs can quickly spiral out of control. ClickHouse is changing that narrative. It provides a high-performance, cost-effective alternative to traditional logging stacks, delivering lightning-fast query speeds that significantly reduces your infrastructure overhead. In this blog post, we're going to build a high-performance logging pipeline from the ground up."
"Let's look at how to: Deploy ClickHouse on Minikube for lightning-fast, cost-effective log storage Harness the power of Fluent Bit, the industry-standard, lightweight log processor designed to handle high-throughput Kubernetes telemetry with minimal CPU overhead Integrate Grafana to visualize your logs in real-time Why ClickHouse for Logs? Before we dive in, let's understand why ClickHouse is excellent for logging: Speed: Queries on billions of rows in seconds"
ClickHouse serves as a high-performance, cost-effective log storage engine capable of querying billions of rows in seconds and achieving 10–100× compression. A pipeline can deploy ClickHouse on Minikube for local, lightweight testing while using Fluent Bit as the low-overhead, high-throughput log forwarder from Kubernetes nodes. Grafana provides real-time visualization of logs and query results over the ClickHouse back end. The combination reduces infrastructure and storage costs, simplifies analysis through a familiar SQL interface, and supports scalable telemetry ingestion and fast ad hoc queries for operational troubleshooting and analytics.
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