Service

Data and backend architecture that stays fast as you scale

Caching, pipelines, and analytics-ready infrastructure that stays fast and correct as you scale.

KeenCraft designs caching, pipelines, and analytics-ready backends so products stay fast and trustworthy under load. That includes Postgres plus Redis caching tiers, vector search with Pinecone or pgvector, and latency-hardening and accuracy-improvement audits on existing systems.

Data & Backend Architecture

Multi-tier caching, pipelines, and analytics-ready backends, built so products stay fast under load and the data users see stays trustworthy.

Best fit for

Teams whose product works but slows down, breaks, or gets expensive the moment it scales.

Talk Through This

What's included

  • Postgres + Redis caching tiers for high-traffic applications
  • Vector search & retrieval infrastructure (Pinecone, pgvector) for AI features
  • Latency-hardening and accuracy-improvement audits on existing systems
  • Technical documentation: architecture overviews, API references, SOWs

Questions about this service

When do you need data and backend architecture work?+

When a product works in staging but slows down, breaks, or gets expensive the moment real traffic or real data shows up.

What infrastructure does KeenCraft typically use?+

PostgreSQL, Redis, Pinecone, pgvector, and documented API and architecture deliverables so your team is not dependent on one person's memory.

Can you audit an existing system instead of rebuilding it?+

Yes. Latency-hardening and accuracy-improvement audits are in scope, including caching tiers, pipeline work, and vector-search infrastructure on live systems.

Is this sold as a huge platform rebuild?+

Not by default. The proposal is sized to the problem. Sometimes a caching tier or a single pipeline is the right engagement.

Ready to build something that saves you money from day one?

Book a free 30-minute call. Tell me what you're trying to build or fix, and I'll tell you honestly whether KeenCraft is the right fit and what it would take.