sohutv/cachecloud
搜狐视频(sohu tv)Redis私有云平台 ：支持Redis多种架构(Standalone、Sentinel、Cluster)高效管理、有效降低大规模redis运维成本，提升资源管控能力和利用率。平台提供快速搭建/迁移，运维管理，弹性伸缩，统计监控，客户端整合接入等功能。(CacheCloud is a Redis cloud management platform. It supports Standalone, Sentinel, and Cluster architectures for Redis, effectively reducing large-scale Redis operation and maintenance costs, and improving resource management and utilization. The platform provides rapid construction/migration, operation and maintenance management, elastic scaling, statistical monitoring, client integration and access and other functions) observed · 2026-08-28
Health v2 · maintenance only
78/100
- Activity 86
- Release rhythm 55
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3872
- days_rel: 86
- days_push: 86
- n_releases_24m: 1
Adoption not part of the score
9034 stars · 2041 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
CacheCloud is a self-hosted Redis cloud management platform from Sohu TV that supports Standalone, Sentinel, and Cluster Redis architectures. It provides rapid provisioning and migration, operations management, elastic scaling, statistical monitoring, and client integration to reduce large-scale Redis maintenance costs.
Use cases
- manage a fleet of redis instances from a web console
- provision redis sentinel or cluster setups quickly
- monitor redis instance metrics and slow queries
- migrate existing redis instances into a managed platform
- scale redis capacity elastically
- onboard applications to redis with client integration
When to choose
- you operate many redis instances across standalone, sentinel, and cluster topologies
- you want a self-hosted alternative to managed redis cloud services
- you need centralized redis monitoring, alerting, and ops workflows
- your stack is Java/JVM and uses Jedis or Lettuce clients
When to avoid
- you run only one or two small redis instances where a console adds overhead
- you need a managed cloud service rather than self-hosted infrastructure
- your stack is not Java-based and you only need client libraries
Facets
service · maturity active
caching monitoring deployment configuration-management self-hosted databases self-hosted monitoring jvm self-hosted redis redis-cluster redis-sentinel cache-management ops-platform jedis lettuce devops linux web-server
2 sources
- readme: https://github.com/sohutv/cachecloud · fetched 2026-08-28 · 109f9954998f
- homepage: http://cachecloud.github.io/ · fetched 2026-08-29 · b29cf71ed5af
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sohutv/cachecloud | main | 78 |
For agents
markdown · JSON · MCP: product_card(name="sohutv/cachecloud")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem