Redisson
Redisson - Easy Redis Java client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache ... (by redisson)
helm-charts
Prometheus community Helm charts (by prometheus-community)
Our great sponsors
| Redisson | helm-charts | |
|---|---|---|
| 3 | 98 | |
| 22,744 | 4,647 | |
| 1.4% | 2.8% | |
| 9.9 | 9.7 | |
| about 12 hours ago | 3 days ago | |
| Java | Mustache | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Redisson
Posts with mentions or reviews of Redisson.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-17.
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Kotlin Spring WebFlux, R2DBC and Redisson microservice in k8s 👋✨💫
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.
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Am I overlooking any potential issues that could arise from my implementation?
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
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Implement Hibernate 2nd level Cache with Redis, Spring Boot, and Spring Data JPA
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.
helm-charts
Posts with mentions or reviews of helm-charts.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-24.
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You get what you Measure: Understanding your applications health with Grafana, Loki and Prometheus
Prometheus can be deployed using the Prometheus Helm Chart. This helm chart contains a lot of features such as the already mentioned Push Gateway, Alert Manager and so on. For simplicity reasons of this tutorial I will not show all the Helm chart configuration but you can see a real example used by me here.
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Multi-Cluster Prometheus: Scaling Metrics Across Kubernetes Clusters
Building upon Bartłomiej Płotka's insightful blog on Prometheus and its passthrough agent mode, this post dives into implementing multi-cluster Prometheus support. Notably, the official inclusion of support in the widely-used kube-prometheus-stack came with the release in July 2023, making it easier to extend Prometheus monitoring across clusters.
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Hands On: Pull metrics into Kubernetes from anywhere and treat them generically with the Keptn Metrics Server
The first thing you'll need, of course, is at least one backend to store metrics. So install Prometheus now:
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Kubernetes Ingress Visibility
For the request following, something like jeager https://www.jaegertracing.io/, because you are talking more about tracing than necessarily logging. For just monitoring, https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack would be the starting point, then it depends. Nginx gives metrics out of the box, then you can pull in the dashboard like https://grafana.com/grafana/dashboards/14314-kubernetes-nginx-ingress-controller-nextgen-devops-nirvana/ , or full metal with something like service mesh monitoring which would provably fulfil most of the requirements
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Smart-Cash project -Adding monitoring to EKS using Prometheus operator
kube-prometheus-stack is a Helm chart that contains several components to monitor the Kubernetes cluster, along with Grafana dashboards Grafana Dashboards to visualize the data. This option will be used in this article.
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K8s Monitoring Per Namespace
This one I highly recommend: https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack
- Is Prometheus the right tool for my use case here?
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Do we have any Prometheus metric to get the kubernetes cluster-level CPU/Memory requests/limits?
We use kube-prometheus-stack for metrics and have added the K8s views dashboards from grafana-dashboards-kubernetes. You should check out the k8s-views-global dashboard. I believe it's just what you are looking for.
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Alertmanager SMTP configuration
You should take a look at "kube-prometheus-stack". It not only includes prometheus, node-exporter and Grafana but also a ton of preconfigured alerts and dashboards. Will save you a lot of work!
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How do I find / edit Prometheus configuration after deploying it on Kubernetes ?
Since their are different ways to install what exactly did you install? Vanilla charts , stack, operator? https://github.com/prometheus-community/helm-charts/tree/main/charts
What are some alternatives?
When comparing Redisson and helm-charts you can also consider the following projects:
Jedis - Redis Java client
tanka - Flexible, reusable and concise configuration for Kubernetes
Hazelcast - Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
kube-thanos - Kubernetes specific configuration for deploying Thanos.
Ehcache - Ehcache 3.x line
kube-prometheus - Use Prometheus to monitor Kubernetes and applications running on Kubernetes
Chronicle Map - Replicate your Key Value Store across your network, with consistency, persistance and performance.
kustomize - Customization of kubernetes YAML configurations
MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
pihole-kubernetes - PiHole on kubernetes
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
pack - CLI for building apps using Cloud Native Buildpacks