01
Scope and fit
We decide where Redis earns its place in your system, and where a simpler tool wins. No resume-driven architecture.
★ RedisTechnologies & Infrastructure8-week engagement
REDIS · CACHE + QUEUESRedis for the fast path.
In-memory caching, rate limiting, sessions, and lightweight queues. Redis takes pressure off your database and shaves latency where it counts.
RedisPostgreSQL
Cycle
8 weeks · fixed price
Stack
Redis
Output
Production code + eval suite
Handoff
Full source ownership
[THE SHORT VERSION]
The right tool in front of the database.
Redis is not your primary store, it is the fast layer in front of it: cache hot reads, hold sessions, enforce rate limits, and run simple job queues. Used with discipline (clear TTLs, sane invalidation) it is a big, cheap win.
When it fits
- Caching expensive or hot reads
- Rate limiting and session storage
- Lightweight background job queues
[HOW WE BUILD IT]
How we build with Redis.
02
Build on a tested foundation
We integrate Redis against a foundation we trust: typed code, CI, and observability from the first commit. Boring infrastructure, modern surface.
03
Eval before launch
An eval suite proves the build behaves before it reaches a user. We measure, then ship.
04
Handoff with ownership
Your team gets the code, the tests, and a runbook. No lock-in to us or to a vendor framework.
[WHAT YOU GET]
What the engagement leaves behind.
8 wks
Problem to production
100%
Source ownership at handoff
Eval-first
Tested before it ships
0
Framework lock-in
APPLIED K-FRAMEWORKBring the problem.
Bring the problem.
We’ll bring the build.
Eight weeks, fixed price, eval suite at handoff. Senior engineers, full source ownership, no framework lock-in.