Redis specialists for your dedicated team.
Redis is an in-memory data store used as a cache, a session store, a rate limiter, a lock and a lightweight queue. Its speed comes from holding data in memory, which is also the source of its main design constraint: memory is finite, and eviction behaviour has to be chosen deliberately.
Where Redis fits in a long-term product team.
Redis is easy to add and easy to become quietly dependent on. A cache introduced to relieve the database becomes load-bearing once traffic grows around it, and at that point losing Redis is no longer a performance event, it is an outage. Knowing which of the two a deployment is, a true cache or a de facto primary store, is the question to answer early.
The recurring production issues are predictable. An eviction policy left at the default surprises people when memory fills, keys written without a TTL pile up until it does, and cache invalidation logic grows until the meaning of a given key is unclear. None of these are hard problems; they all come from decisions that were never made explicitly.
What your dedicated team does with Redis.
Caching correctness is one of the areas where continuity pays most visibly. Knowing which keys are safe to evict, and what stale data means for a given screen, is knowledge about the product more than about Redis, and it does not transfer through a handover document.
That knowledge building up in the same people is the case for a long-term team. What that commitment costs and how it is agreed is set out in how the monthly fee is built.
Common Redis use cases.
- Taking read load off the primary database Caching the expensive queries with deliberate TTLs and an invalidation path that is written down.
- Distributed locks and rate limiting Coordinating work across several instances without inventing a coordination mechanism in application code.
- Sessions that survive a deploy Session state outside the application process, so a rolling restart does not sign everybody out.
Adding Redis skills to your team.
Redis work is assigned inside the discipline that owns the service using it. When the data layer itself is the constraint, that sits with a dedicated data engineering team.
You can add Redis capacity as one dedicated specialist or as part of a wider remote team, managed by a service delivery manager from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.
Tell us what your roadmap needs Redis for.
A service delivery manager will reply with the specialists we'd suggest, the monthly capacity and what the first month looks like.
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