Redisson VS Grafana

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.

Once data flows through the collector, the Grafana LGTM stack lets you explore:

Power Live Dashboards and Proactive Alerts: Feed continuously updated KPIs from RisingWave into your BI tools like Grafana or Superset. Create alerts for critical business events, such as a high-value deal becoming at-risk or a sudden drop in MQLs from a key channel.

Performance Dashboards: Track workflow performance — latency, uptime, number of errors — with tools like Grafana.

Grafana Labs | Remote-first (and-only) | Senior / Staff Software Engineer | Full-time

I am looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences.

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; I am looking for someone who is excited about this sort of work.

For more details, look at the JD and at: https://github.com/grafana/grafana/blob/main/contribute/arch...

We are hiring only in: USA, Canada, Germany, UK, Spain, Sweden.

Tools like Prometheus for metric collection and Grafana for visualization and alerting form the backbone of modern observability stacks, providing the raw data that AI/ML models can then process for predictive insights.

Grafana - Metrics visualization and dashboards

Official Website: Grafana

Tools like Kibana and Grafana make it easy to filter by region, environment, and service. A good dashboard helps you answer questions like:

https://github.com/grafana/grafana/blob/v12.0.1/LICENSE being AGPLv3 likely is a non-trivial part of that

Monitoring and Logging: Tools like Prometheus and Grafana provide instant observability.