Stupid is as stupid does.
This article walks through setting up ClickHouse 24.8‑alpine, explains the MergeTree storage model, demonstrates data import and ADS queries, and then directly compares ClickHouse’s performance and semantics with Apache Doris on an identical orders CSV dataset, offering practical selection guidance and troubleshooting tips.
This tutorial explains how Apache Iceberg adds snapshot metadata to files on HDFS or object storage, enabling atomic writes, time‑travel queries, and schema evolution, and walks through a Docker‑based setup with a REST catalog, Spark 3.5.3, and hands‑on examples including table creation, data insertion, version queries, and troubleshooting tips.
This guide walks through configuring a local Docker/Compose environment that provides accessible Harbor, GitLab (with a shared Runner), and Jenkins, demonstrates a push/pull test on Harbor, runs a minimal GitLab CI pipeline, and validates a simple Jenkins pipeline, while covering prerequisites, host configuration, installation steps, verification, troubleshooting, and cleanup.
This article explains the fundamental concepts of CI/CD, clarifies the distinction between Continuous Integration, Continuous Delivery and Continuous Deployment, describes pipeline components such as stages and jobs, outlines common triggers, artifacts, caches and secrets, and shows how tools like GitLab, Jenkins and Harbor fit together in a complete delivery workflow.
This article introduces a runnable microservices learning project built with three independent Spring Boot applications (gateway, order, stock) and middleware such as Nacos, MySQL, Redis, RocketMQ, and Seata, guiding readers through cloning the repository, starting the environment with Docker Compose, and verifying the end‑to‑end product‑order‑stock flow.
This guide shows how to extend an existing Prometheus‑Grafana‑Loki stack with SkyWalking to capture full request traces in Spring Boot, explaining trace fundamentals, automatic instrumentation, manual spans, log‑trace correlation, cross‑service topology, and production considerations.
The article explains how reusable Skill packages encapsulate domain knowledge, standard workflows, and output formats to enable AI agents to act professionally in specific contexts, addressing token efficiency, team conventions, and seamless integration with Loop, Harness, Context, Tool Use, and MCP.
The article explains how the Harness framework acts as an operating system for LLM‑driven programming agents, enforcing permissions, step limits, state management, and human‑in‑the‑loop controls to make AI agents reliable, auditable, and safely interruptible.
The article explains that AI-powered code writing relies on an Agent Loop—Plan, Act, Observe, Reflect—rather than a single question‑answer exchange, detailing each phase, termination rules, common pitfalls, and practical guidelines for building reliable iterative agents.
This article walks through adding a POST /v1/chat/stream endpoint that uses Server‑Sent Events (SSE) to stream structured events—including status, tool calls, token deltas, and completion—into a static web page, enabling a multi‑turn, typewriter‑style chat UI while preserving the original synchronous /v1/chat API for backward compatibility.
