You might find something interesting here ^_^
This article walks through collecting, storing, and querying distributed tracing data with OpenTelemetry, ClickHouse, and Grafana, covering schema design, OTEL Collector configuration, materialized views, query patterns, visualization techniques, performance benchmarks, and future optimization directions.
This article walks through a complete, reproducible setup for collecting, storing, querying, and visualizing Kubernetes logs with ClickHouse and Grafana, covering architecture choices, agent configurations (OpenTelemetry Collector, Vector, Fluent Bit), schema design, compression results, query examples, performance tuning, and dashboard integration.
This guide walks through installing, configuring, and using Apache Superset 4.x—including Kubernetes and Docker Compose deployment, database connections, Celery async queries, security settings, and creating your first dashboard—while providing a fully LLM‑translated Chinese documentation site.
This FAQ explains how Superset handles massive datasets, required compute specs, joining tables, creating custom visualizations, CSV uploads, query timeout settings, map visibility, dashboard refresh control, schema changes, supported database backends, OAuth configuration, color overrides, API usage, telemetry, and asset recovery.
This guide walks through deploying Apache Superset 4.x on a Kubernetes cluster with the official Helm chart, covering prerequisites, adding the Helm repository, customizing values.yaml, installing required dependencies, configuring security, OAuth, alerts, Celery workers, and loading sample data and dashboards.
This article provides a step‑by‑step tutorial for configuring Apache Superset to connect to a wide range of databases, covering driver installation, Docker image customization, exact SQLAlchemy connection strings for each engine, UI‑based setup, advanced options such as SSL, external password stores, and the experimental meta‑database feature.
This guide walks through provisioning two Alibaba Cloud ECS instances, installing Docker, launching Citus 12.1 coordinator and worker containers, configuring the cluster, and verifying data distribution using a sample microservice backend.
This tutorial walks through setting up a PostgreSQL 16.1 + Citus 12.1 cluster with Docker, creating separate schemas and roles for user, time, and ping microservices, distributing them via schema‑based sharding, and demonstrating CRUD operations and verification of data placement across three worker nodes.
This guide explains what a sharded PostgreSQL cluster is, how StackGres implements it with Citus and Patroni, and provides step‑by‑step YAML manifests and scripts to create both a basic and a custom production‑grade high‑availability sharded cluster on Kubernetes.
This guide walks through identifying master and replica pods, performing graceful switchover, triggering automated failover, and reinitializing replicas in a StackGres 1.6 cluster using kubectl and patronictl commands, with practical notes and safety warnings.
