Edge & CDN
Globally deployed edge functions, CDN-cached routes, regional failover. Sub-50ms responses worldwide instead of one slow round-trip to a single region.
Vercel · Cloudflare · FastlyEdge-deployed APIs, managed databases, vector pipelines, queues, and the observability layer that keeps everything alive at real traffic. The boring parts done right.
Six capabilities we ship into production systems, each picked up end-to-end from architecture through deployment and on-call.
Globally deployed edge functions, CDN-cached routes, regional failover. Sub-50ms responses worldwide instead of one slow round-trip to a single region.
Vercel · Cloudflare · FastlyPostgres, Redis, pgvector, MongoDB, BigQuery. Provisioned, monitored, backed up, and tuned to your access patterns and growth curve.
Postgres · Redis · pgvectorReal-time embeddings, semantic search infrastructure, event streams, and pub-sub. The data plumbing modern AI products need to actually work.
Kafka · pgvector · Pub/SubOAuth, SSO, magic links, multi-tenant isolation, session management, RBAC. The boring security primitives done right the first time.
OAuth · SSO · RBACPreview environments per pull request, blue-green deploys, automated rollback, infrastructure as code. Ship safely, ship often, sleep at night.
GitHub Actions · Terraform · IaCLogs, metrics, traces, alerts, SLOs. Plus monthly cost reviews so the cloud bill doesn't surprise you and unused capacity gets reclaimed.
Datadog · Sentry · GrafanaThe same pipeline we run on every serious infrastructure build, refined across a decade of shipping systems that didn't need a rewrite at scale.
We map the workload before we touch infrastructure. Read paths, write paths, peak traffic, compliance, latency budget. The actual shape of the system you're trying to scale.
Picking the right primitives. Managed vs self-hosted. Single-region vs multi-region. Edge vs origin. Decisions made for the next two years, not the next demo.
The boring building blocks set up properly so nothing breaks at midnight. Backups, encryption-at-rest, secret rotation, IAM scoped tight from day one.
CI/CD with preview environments per PR, infrastructure as code, blue-green deploys, automated rollback. The deploy story before the launch is on the calendar.
Load testing against real traffic patterns, query tuning, caching layers, autoscaling policies. Plus a cost audit so the bill matches what you're actually using.
Dashboards, alerts, SLOs, runbooks. The infra knows it's broken before users tell you, and whoever is on-call has the playbook in their hand.
Vector databases, GPU inference, prompt + model versioning, evaluation pipelines. The infra layer LLM products live or die on.
Multi-tenant isolation, billing, usage metering, customer-facing dashboards. Single platform, thousands of customers, predictable cost.
Compliance-aware infrastructure. Audit logs, encryption-at-rest, region isolation, PCI-friendly deploy paths. Built for auditors as much as users.
HIPAA-ready deploys, audit trails, role-based access for sensitive workflows. Infrastructure that satisfies legal and operations, not just engineering.
WebSockets, server-sent events, presence, low-latency state sync. Chat, dashboards, collaboration, anything that has to feel instant.
Stream processing, async workers, durable queues. Systems that hit millions of events a day and don't drop messages under load.
Free 30 minute call. We talk through the workload, the realistic constraints, and whether the architecture you have today will hold at 10× traffic. No pitch.