Fading Coder

One Final Commit for the Last Sprint

Caching Implementation with Spring Cache in Microservices

1. Configuration Setup Import the required dependency in your pom.xml: <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-cache</artifactId> </dependency> Configure cache settings in application.yml: spring: cache: type: redis...

Redis Data Structures and Objects

Redis provides three specialized data structures optimized for specific use cases: Structure Use Case Bitmaps Space-efficient storage for binary state tracking (daily/monthly user check-ins) HyperLogLog Approximate cardinality estimation for massive datasets (UV counting) GEO Geospatial data storage...

Exposing a Local Redis Instance to the Public Internet via TCP Tunneling

1. Compile and Install Redis from Source Navigate to the target directory and retrieve the source archive. This example uses /opt for third-party sofwtare management. cd /opt sudo curl -L https://github.com/redis/redis/archive/refs/tags/7.2.5.tar.gz -o redis-src.tar.gz sudo tar -xzf redis-src.tar.gz...

Implementing Scalable Online Status Tracking for Billions of Users with Redis

For large-scale systems handling user online status, UUIDs are often used as unique identifiers. To manage this data efficiently with Redis, consider the following architectural approaches. 1. Using Redis Hashes (Hashes) Using full UUID strings as direct keys can be inefficient. A better method is t...

Implementing SMS One-Time Password Verification in Java with Redis Integration

Folllowing the establishment of the Redis connection pool and population of preliminary test records, the development cycle shifts toward automating credential management. An initialization routine automatically retrieves stored usernames and passwords to pre-fill authentication fields, eliminating...

Running Redis with Sentinel for High Availability on Linux

Launching Redis with Sentinel on Linux Redis is a popular in‑memory data store used for caching and improving application performance. To maintain uptime and automatically handle failures, the Sentinel system provides monitoring, notification, and automatic failover for Redis instances. This article...

Redis Data Types and Their Practical Application Scenarios

Redis offers a rich set of data types, each designed for specific use cases. Understanding when to применять each type is crucial for building efficient applications. This comprehensive guide explores the practical scenarios where each Redis data type shines, from basic string operations to advanced...

Redis List Data Structure Operations

Redis List Data Structure Redis lists are string-based collections that maintain insertion order. Elements can be added to either the head (left) or tail (right) of a list. A Redis list can hold up to 2^32 - 1 elements, enabling storage of more than 4 billion items per list. Getting Help for List Co...

Managing Redis Cache Issues and Monitoring Key Metrics

Overview of Four Common Redis Cache Problems Problem Symptom Mitigation Approach Remarks Cache Warm-Up Service crashes shortly after launch Load hot entries first; accelerate loading; sync master-slave data Requires routine hot-entry analysis Cache Avalanche Mass expiration of keys → DB overload Mul...

Redis Connection Pooling and Cache Operations in .NET

This example demonstrates a production-ready Redis integration in C# using connection pooling and generic cache operations. The implementation separates concerns across three core components: connection management, cache abstraction, and application usage. Application Entry Point namespace RedisDemo...