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Why caching matters Every request that reaches the database consumes CPU, memory, and disk I/O. When traffic spikes, the database becomes the first bottleneck. A cache layer—placed between the application and the datastore—absorbs the majority of read requests, reduces latency, and acts as a circuit-breaker when the primary store is unavailable ...

Redis Lock Vulnearbility Analysis Asynchronous replication creates critical vulnerabilities during failover scenarios: Timeline: 1. Client A acquires lock on master (SET resource_id unique_val NX EX 30) 2. Lock replication to replica delayed (ms to hundreds of ms) 3. Master fails, sentinel triggers failover (3-10 seconds) 4. Replica becomes new ...

Concept Overview Redis Publish/Subscribe (Pub/Sub) implements a messaging paradigm where senders (publishers) transmit messages to channels, and receivers (subscribers) listen for messages on those channels. A single Redis client can subscribe to multiple channels simultaneously. When a message is published to a channel, all active subscribers ...

Understanding the Exception When integrating Java applications with Redis via the Jedis client, developers may encounter the following runtime exception: redis.clients.jedis.exceptions.JedisDataException: ERR Client sent AUTH, but no password is set This error indicates a mismatch in security expectations between the client and the server. Spe ...

Redis (REmote Dicsionary Service) is an open-source, in-memory data structure store used as a database, cache, and message broker. Unlike traditional databases, Redis stores data primarily in memory, enabling extremely high throughput (often exceeding 100,000 operations per second) and low latency access. While it is commonly recognized for its ...

Delayed tasks are common in real-world applications, such as canceling orders after payment timeout or automatically confirming deliveries. This article analyzes 11 different ways to implement delayed tasks, from implementation to underlying principles. Each approach has its own strengths and suits different scenarios. DelayQueue DelayQueue is ...

Stateless Authentication with RedisIn a distributed architecture, relying on Tomcat's local sessions for user state leads to inconsistencies across instances. Redis serves as a centralized session store to solve this. When a user logs in via SMS, a unique token is generated and stored in Redis as the key, with the serialized user DTO as the val ...

Implemanting Backend CAPTCHA Validation with ASP.NET Core and Vue.js While client-side CAPTCHA logic can be implemented, it often presents security concerns. A more robust approach involves generating and validating CAPTCHA codes on the server side. This method is essential for applications deployed in intranet environments where third-party se ...

In the previous article, we explored Spring Boot integration with Redis. This article focuses on implementing Redis caching in MyBatis operations. We'll examine four key annotations: @CachePut, @Cacheable, @CacheEvict, and @CacheConfig. Fundamentals @Cacheable The @Cacheable annotation configures method-level caching, storing results based on m ...

Deploying the Zabbix Monitoring Agent Establish the required directory hierarchy within the Salt base environment to separate system initialization tasks from application-specific configurations. mkdir -p /srv/salt/base/{init/zabbix_epel,zabbix_agent/templates} Configure the EPEL repository to ensure dependency resolution works correctly. Dow ...