SERVICE — 004 / CLOUD & INFRASTRUCTURE
Cloud & Infrastructure
Databases, caching, and pub/sub wired into observable, auto-scaling deployments — built by someone who has carried a pager. The unglamorous layer that decides whether your AI survives real traffic.
// WHAT YOU ACTUALLY GET
The layer that keeps everything else alive.
Data
Postgres & schema design
Redis caching
Object storage
Migrations & backups
Messaging
Pub/Sub & queues
Async job workers
Event-driven flows
Retries & dead-letters
Delivery
Docker & Kubernetes
CI/CD pipelines
Infra as code
Blue/green & rollbacks
Reliability
Tracing & metrics
Alerting & on-call
Autoscaling
Cost monitoring
// ANATOMY OF A DEPLOYMENT
From a commit to observable, scaling production.
Reviewed, branch-protected
Unit, integration, evals
Reproducible artifacts
Blue/green, instant rollback
Dashboards, alerts, SLOs
Handles real traffic
PLATFORM
Postgres
system of record
Redis
cache & sessions
Pub/Sub
async & events
Kubernetes
orchestration
Observability
traces, alerts, SLOs
// THE ENGAGEMENT
From first call to shipped system.
01
Map the system
We start with architecture, not prompts. Where data lives, what has to be reliable, and what "done" actually means.
02
Build the stack
API, retrieval, models, and infrastructure assembled as one coherent system — not a notebook glued to a UI.
03
Harden & evaluate
Evals, observability, and failure modes. Reliability engineering applied to non-deterministic systems.
04
Ship & operate
CI/CD, monitoring, and a real maintenance path. The system goes live — and stays live.
START SMALL
Not sure it's even an agent problem yet?
Begin with a fixed-scope discovery sprint. You walk away with a real architecture, a build plan, and an honest read on feasibility — yours to keep, whether or not we build it together.
Let's build something that actually ships.
Tell us what you're trying to build. We'll tell you straight whether — and how — agentic systems get you there.
Start a conversation