BucketAPI
BucketAPI is an intelligent API gateway. Bundled Redis caching, AI-driven rate limiting, real-time analytics, all behind one proxy. Think of it as the Heroku for APIs: sane defaults, one-click safety nets, the kind of infrastructure that earns its monthly cost back.
- Outcome
- $200/mo avg savings per team
- Outcome
- +32% cache hit rate via auto-tuning
- Outcome
- < 5 min setup
The problem
Teams running APIs at scale hit the same three problems separately. Cache infrastructure (expensive AWS add-ons). Rate limiting (fragile WAF rules). Observability (after-the-fact log analysis). Each vendor sells one slice. Nobody bundles them.
Smaller teams either over-pay for AWS API Gateway and stitch the rest together, or they under-build and pay for it later when traffic shifts.
Approach
BucketAPI is a managed proxy that ships with caching, rate limiting, and analytics built in. The defaults tune themselves via an AI ops layer that watches traffic and re-tunes TTLs and limits without human babysitting.
Region locking (EU-only routing, for example) is a single toggle for compliance-sensitive customers. Documentation is generated from observed traffic, so the docs stay current because they're derived rather than authored.
- FastAPI core, Redis cache plane, PostgreSQL control plane
- AI-driven auto-tuning of cache TTLs and rate limits
- Region locking for GDPR and data sovereignty
- Real-time analytics with anomaly alerts
- Auto-generated service catalog from live traffic
Results
Customers cut their API infrastructure cost noticeably and dropped anomaly-to-fix time from hours to minutes.
- $200/mo average savings per team on cache spend
- +32% cache hit rate after AI auto-tuning kicks in
- Sub-5-minute setup vs 30+ minutes on AWS
- <120s anomaly triage time via real-time alerts
What I learned
Bundling is undervalued. The AWS-style 'one tool per concern' model usually costs teams more in integration than in licenses. The bundle itself is the product, not a packaging trick.
The auto-tuning layer was the highest-leverage feature. It turned BucketAPI from 'another gateway' into 'the gateway that pays for itself.' Naming the layer 'AI Ops Engineer' helped that land with buyers.