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Infrastructure & Cloud

Production Systems Built to Operate Reliably

We modernize cloud infrastructure to eliminate downtime, slash compute bills, and deliver sub-50ms latency for global users using modern edge runtimes and distributed data systems.

THE SITUATION

Every millisecond of latency has a revenue consequence. Every unnecessary server is a cost you carry indefinitely. Infrastructure is not overhead — it's the foundation your product is built on.

Global Edge Infrastructure PatternSystem Architecture
+-------------------------------------------------------------------------------+ | GLOBAL EDGE NETWORK | | [ User in Tokyo ] [ User in London ] [ User in San Francisco ] | | │ │ │ | | ▼ ▼ ▼ | | [ Tokyo Edge Worker ] [ London Edge Worker ] [ SF Edge Worker ] | | - Read Cache (Sub-10ms) - Read Cache (Sub-10ms) - Read Cache (Sub-10ms) | +------------------------------------+------------------------------------------+ │ Transactional Writes & Sync v +-------------------------------------------------------------------------------+ | TRANSACTIONAL PERSISTENCE TIER | | [ Primary PostgreSQL Cluster (ACID) ] <---> [ Replicated Edge Storage / D1 ] | +-------------------------------------------------------------------------------+

Distributed Edge Runtime with Centralized Transactional Safety

High cloud bills, cross-continental latency, and operational fragility

As software products grow, traditional container and virtual machine clusters often become expensive and difficult to maintain. Over-provisioned servers sit idle, users outside your primary region experience slow page loads, and releases require nervous manual oversight.

Typical Symptoms We Diagnose

  • Ballooning monthly cloud bills on idle compute and unoptimized egress bandwidth
  • P95 latency exceeding 300–500ms for international users due to single-region databases
  • Occasional downtime or broken sessions during database schema migrations
  • Missing operational observability and relying on user complaints to detect downtime

Engineering Outcomes

Edge-First Global Performance

Edge-native architecture designed for global low-latency performance.

Infrastructure Cost Reduction

Eliminate idle compute through serverless edge runtimes and optimized data topologies.

Zero-Downtime Deployments

Continuous deployment pipelines with automatic database migrations and instant rollback capabilities.

What We Own & Deliver

End-to-end technical responsibility, not partial hand-offs.

Edge Compute & Serverless Runtimes

Deploying high-performance API endpoints and frontend runtimes onto global edge networks (Cloudflare Workers, Pages, AWS Lambda).

Concrete Deliverables

Edge Function TopologiesWAF & DDoS RulesCustom Routing RulesGeo-Distributed Caching

Distributed Database Architecture

Designing hybrid persistence models that pair primary transactional PostgreSQL with edge-colocated SQLite/D1 read replicas.

Concrete Deliverables

Replication PipelinesConnection Pool ConfigurationRead Cache InvalidationBackup Strategies

Automated Release & Migration Pipelines

Building reproducible CI/CD pipelines with ephemeral preview environments and automated zero-downtime schema migrations.

Concrete Deliverables

GitHub Actions CI/CDPreview Environment WorkflowsMigration ScriptsRollback Runbooks

Observability & Operational Telemetry

Setting up comprehensive OpenTelemetry tracing, structured error logging, latency dashboards, and proactive incident alerts.

Concrete Deliverables

Sentry / OpenTelemetry SetupGrafana / Datadog DashboardsAlert Routing RulesSLA Monitoring

How The Engagement Runs

Disciplined async execution designed to minimize meetings and sustain high engineering velocity.

Stage 01

Topology & Cost Audit

Benchmark baseline P95 latency, analyze compute/egress billing, and identify optimization opportunities.

Stage 02

Infrastructure as Code

Define reproducible infrastructure configurations, environment secrets management, and automated CI pipelines.

Stage 03

Edge Routing & Data Split

Configure edge cache rules, deploy worker runtimes, and establish distributed database replication streams.

Stage 04

Live Cutover & Monitoring

Execute zero-downtime DNS cutover with dual-write validation, verified latency drops, and automated health alerts.

Frequently Asked Questions

Do we need to migrate away from AWS or our current cloud provider?

Not necessarily. We often deploy hybrid architectures that pair existing AWS/GCP databases with Cloudflare edge compute for global performance gains, or fully migrate when cost savings and simplicity justify it.

How do you handle database migrations without downtime?

We use backward-compatible schema changes (expand and contract pattern) and dual-write proxy mechanisms, ensuring existing application instances continue operating seamlessly during schema updates.

What platforms do you specialize in?

Our core infrastructure stack centers on Cloudflare Workers/Pages, Cloudflare D1/KV, PostgreSQL (Supabase, Neon, AWS RDS), Docker, and GitHub Actions CI/CD.

Send us the engineering problem.

Tell us about your architecture, timeline, and current bottlenecks. We'll assess whether Stonewasp is a fit.