blog
floo team
database vs cache vs queue vs object storage
Choose where application state belongs by durability, payload shape, access pattern, staleness, retention, transactional coupling, and delivery semantics.
floo team
what should deployment infrastructure return to a software agent?
Agent-native infrastructure returns stable identity, explicit state, scoped diagnostics, provenance, safe retries, and clear authority boundaries.
floo team
floo vs Neon for software factories
Neon is building a branchable backend stack for apps and agents. floo is building the complete cloud where agents deploy and operate applications with human control.
floo team
floo vs Railway for teams shipping with agents
Railway and floo both support full-stack applications and agent workflows. The difference is whether the platform is a flexible cloud canvas or a controlled production loop.
floo team
floo vs Supabase for applications built with agents
Supabase gives agents a Postgres-centered backend platform. floo gives them the cloud to deploy, preview, operate, and govern the complete application.
floo team
floo vs Vercel for full-stack software factories
Vercel now supports multi-service full-stack applications and production agents. floo differs by making production-shaped state and human-agent control the core operating model.
floo team
when should an agent need human approval to ship software?
Human approval should follow consequence, not authorship. Agents should move through isolated work and stop at launch, access, spend, and data-risk boundaries.
floo team
what infrastructure does a production application need?
A production application needs the smallest correct combination of compute, durable state, routing, configuration, environments, and operations for its actual workload.
floo team
Postgres vs Redis: when do you need each?
Start with Postgres for durable relational state. Add Redis when a measured workload needs shared low-latency coordination, caching, rate limits, streams, or queue semantics.
floo team
what is a production-shaped preview environment for ai agents?
A production-shaped preview preserves an app's real topology, routing, policy, migrations, and managed services while isolating mutable state.
floo team
why should deployment configuration remain reviewable in git?
Auditable application shape needs one durable source of truth. Git makes infrastructure changes reviewable, attributable, reproducible, and safe for agents to propose.
floo team
why does shared staging break when software agents work in parallel?
Shared staging makes concurrent agent changes interfere through services, data, queues, migrations, and configuration. Branch-scoped previews restore attribution.
floo team
how should agents test database migrations without touching production?
Agents should test migrations against isolated, representative state through the real deployment lifecycle, then prove application compatibility before release.
floo team
web service vs worker vs cron job
Use a web service for request-response work, a worker for asynchronous or continuous work, and cron to trigger work because of time. Design retries and idempotency separately.