Redisson VS Apache ZooKeeper

In the final verdict, Reliable Queue is the more durable and feature-rich option. Standard Valkey/Redis streams will suffice for smaller applications, but Reliable Queue provides the enterprise-grade reliability that businesses depend on. To learn more, visit the Redisson PRO website today.

Redis Official Documentation Redisson GitHub Repository

Local caches, like Caffeine, provide extremely fast data retrieval because they operate in memory and are close to the application. These are ideal for reducing response times for frequently accessed data. On the other hand, distributed caches, such as those powered by Redisson with Redis, offer scalability and consistency across multiple instances of an application. Distributed caches ensure all nodes in a distributed system access the same up-to-date data, which is crucial in multi-node environments.

Source code you can find in the GitHub repository. he main idea of this project is the implementation of microservice using Kotlin, Spring WebFlux, PostgresSQL, and Redis with metrics and monitoring and deploying it to k8s. For interacting with PostgresSQL we will use reactive Spring Data R2DBC and for Redis caching using Redisson.

I came up empty handed in search of an alternative to Quartz for scheduling Crons in a clustered/distributed environment. Redisson has a scheduler, but it came with its own issues: - https://github.com/redisson/redisson/issues/4020 - https://github.com/redisson/redisson/issues/3991 - https://github.com/redisson/redisson/issues/4321

4. We use the open-source library Redisson to connect to Redis instance and use Redis as Hibernate 2nd level cache. Please see their Github repo for more information.

Next, Kafka requires Zookeeper and a broker. Instead of installing them manually, we use Docker Compose with this YAML file.

ZooKeeper (classic choice for strongly consistent registries). Examples: Pinterest, Linkedin

Zookeeper is a distributed coordination service used in older versions of Kafka to manage cluster metadata, leader election, and configuration. It ensures consistency and synchronization across Kafka brokers.

Using a service discovery mechanism: A service discovery mechanism, such as etcd or ZooKeeper, can help to manage the complexity of microservices by providing a centralized registry of available services and their instances.

Apache ZooKeeper: A centralized service to generate unique IDs and prevent race conditions between instances.

Apache ZooKeeper — a distributed coordination, synchronization, and configuration service (written in Java);

To use Kafka, we also need to deploy a service that keeps configuration informations such as Zookeeper.

Failure Detection and Recovery It’s not enough to have backup systems. It’s also crucial to detect failures quickly. Modern systems employ monitoring tools and rely on distributed coordination systems such as Zookeeper or etcd to identify faults in real-time: once detected, recovery mechanisms are triggered to restore the service.

zookeeper: is (was?) used for secrets management. it was also used as a basic health check, but has been since been replaced.