"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 Compression: 10-100x compression ratios Cost-Effective: Lower storage and compute costs SQL Interface: No need to learn new query languages"
ClickHouse serves as a high-performance, cost-effective storage engine for centralized Kubernetes logs, offering lightning-fast queries across billions of rows and substantial compression. Fluent Bit functions as a lightweight, industry-standard log processor that handles high-throughput Kubernetes telemetry with minimal CPU overhead. Grafana provides real-time visualization of stored logs. Deploying ClickHouse on Minikube enables local testing of a production-like logging pipeline. The combination reduces storage and compute costs while maintaining SQL-based querying, avoiding new query languages. This stack addresses the scalability and cost challenges of traditional logging architectures in containerized environments.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]