Introducing full-stack Internet architecture technologies centered on Java
This article explains the concept of epochs in Redis Cluster, describing the two types—currentEpoch and configEpoch—their roles in versioning and conflict resolution, how they are updated and persisted, and provides example node listings and commands for inspection.
This article explains how Redis cluster nodes use a TCP-based gossip protocol and a dedicated cluster bus to discover each other, detect failures, synchronize configuration, and automatically redirect client commands to the correct node, illustrated with practical command‑line examples.
Redis cluster relies on two ports per node, a hash‑slot based sharding scheme, a master‑slave replication model, and provides eventual consistency, making these four fundamentals essential knowledge for developers and operators to.
This guide demonstrates how to horizontally scale a Redis cluster by adding nodes as masters or slaves, configuring them, using redis-cli commands to join or remove nodes, and handling special cases such as removing a failed node, all with practical code examples.
This article explains the immutable unique node IDs in a Redis cluster, the additional metadata each node maintains, provides a sample `cluster nodes` output, and details the meaning of every field in that output to help with monitoring and interview preparation.
This guide explains how to use Redis cluster key tags to align multiple keys to the same slot, enabling multi-key commands like MGET, and includes step‑by‑step examples of connecting, setting keys, checking slots, encountering CROSSSLOT errors, and resolving them with tagged keys.
This article explains Redis cluster hash slots, how they partition data across 16,384 slots, the CRC16-based slot calculation, slot allocation to nodes, and demonstrates dynamic scaling operations such as adding, reshaping, and removing nodes with practical command‑line examples.
This article provides a comprehensive guide to Redis Cluster, covering its background, overall architecture, deployment steps, configuration templates, cluster creation commands, basic key‑value operations, high‑availability testing, and how to manually assign master‑slave relationships for robust distributed caching.
This tutorial explains what Spring AI is, walks through creating a Spring Boot project with Maven, adding the necessary dependencies, writing a simple controller that forwards user messages to a local DeepSeek model, configuring the application, and testing the AI‑powered endpoint.
This guide explains how to install Ollama on a Windows machine, configure its environment, and use it to download and run the DeepSeek‑R1 1.5B large language model locally, enabling offline AI interactions without relying on remote servers.
