Repeatedly reading or computing the same information can burden an application’s main database. A Redis cache keeps reusable results in memory so the application can retrieve them again, subject to expiration and eviction rules. This historical redis-cache chart was designed around a pure in-memory cache and is retired. Before choosing a replacement, establish that the stored data really is disposable and that rebuilding an empty cache will not overwhelm the authoritative service behind it.
Current guidance
The archived chart metadata identifies Redis 4.0.12 with redis-sentinel-micro and describes a pure in-memory cache. That retired package is distinct from the general Redis resource and from a currently supported Redis or Valkey deployment. The original page’s broad BSD-license description also cannot be applied to every newer Redis release.
Decide whether the data is genuinely disposable before selecting a replacement. A cache needs an eviction policy, TTL strategy and a controlled way to refill from its authoritative source. Sessions, rate-limit counters and job state may have different loss consequences even when an application calls them a cache. Replicas can improve availability but do not turn ephemeral state into a validated backup.
For migration, inventory key types, expiration behavior, memory limits, client discovery and authentication. Test cold-start load, eviction and failover with a bounded dataset, and plan a gradual traffic switch so a cache flush does not overwhelm the backing database. If durability is required, select and test an explicit persistence/recovery design rather than preserving this chart’s in-memory assumptions.
Historical upstream link check · 2026-10-09
The recorded upstream address responded successfully (HTTP 200) on 2026-10-09. Link availability does not certify the historical installation instructions or current security support.
Website availability is separate from project, chart and image support. Use the current guidance and primary sources on this page to assess the distribution.
Historical Kubedex content
Preserved for context. Commands, versions, prices and results below reflect the original research.
What is Redis?
According to Redis homepage, Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker.
It supports various data structures such as Strings, Hashes, Lists, Sets etc.
What is Caching?
Caching is the process of storing some data in Cache. Cache is a temporary storage component area where the data is stored so that in future, Data can be served faster.
Why use Redis?
- It is blazingly fast! After all, it has been written in C.
- It’s a NoSql Database. That’s Amazingly amazing!
- Currently, it is being used by tech-giants like GitHub, Weibo, Pinterest, Snapchat, Craigslist, Digg, StackOverflow, Flickr.
- In order to save your cloud database calls and eventually saving some dollars out there, you can, of course, opt for caching so the Redis.
- It is Developer friendly and by that I mean to say that Redis is being supported in most of the languages (Perks of using Open Source Technology). Languages like JavaScript, Java, Go, C, C++, C#, Python, Objective-C, PHP and almost every famous language out there has support for this.
So that was just the introductory part of what you can do with Redis. Redis is extremely powerful and even I am also using on daily basis for the faster performance of data being transmitted between the applications.
Sources & further reading
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