Service — Cloud & infrastructure
Infrastructure your team can actually operate.
Infrastructure nobody understands is a liability regardless of how modern it is. We build environments that are reproducible, observable, and boring to run — which is the highest compliment infrastructure can be paid.
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Cloud environments & IaC
Infrastructure you cannot recreate from code is a disaster waiting for the person who built it to leave.
Reproducible cloud infrastructure defined in code, with automated drift detection and multi-region resilience.
- Declarative infrastructure as code (IaC) reviewed and versioned like software
- Identical environments from local developer staging through production
- Automated capacity scaling and cloud cost attribution mapped to business units
AWS & OpenTofu Multi-Region
Immutable infrastructure defined strictly in code with multi-region VPC peering, global Aurora databases, and automated DynamoDB state locking.
02 / 3
CI/CD & release pipelines
A release pipeline is only as trustworthy as its ability to safely roll back in under 60 seconds.
Deployment pipelines that make releasing boring and routine, backed by battle-tested rollback mechanics.
- Continuous integration running automated test gates and security scans on every PR
- Ephemeral preview environments spun up and torn down per pull request
- Zero-downtime rolling and canary deployments with automated rollback triggers
Progressive Canary Rollout
Automated canary deployments where new code serves 10% of real production traffic while Prometheus monitors p99 latency and error budgets.
03 / 3
Observability & telemetry
During a 2am outage you do not get to add logging. You only get what you already instrumented.
Structured logging, distributed tracing, and real-time metrics arranged around the questions asked during an incident.
- OpenTelemetry instrumentation crossing all service and database boundaries
- Distributed trace correlation linking user requests directly to database queries
- Alerts tied to actual customer impact rather than noisy resource graphs
OpenTelemetry Distributed Trace
End-to-end request tracing that links user browser clicks through edge CDNs, API gateways, microservices, and database query executions.
Practical Stack Architecture
Tools chosen for the problem, not for the résumé.
We work across a deliberately practical set of technologies — mature enough to support real production scale, current enough to keep a product moving fast without architectural debt.
OpenTofu / Terraform
CORE // IACDeclarative infrastructure as code with multi-region state locking and automated drift reconciliation.
Kubernetes (EKS & GKE)
CORE // RUNTIMEProduction container orchestration utilizing Karpenter for sub-minute horizontal compute auto-scaling.
AWS & Google Cloud
CORE // TOPOLOGYMulti-region redundant VPC networks, peering fabrics, and hardened cross-cloud transit gateways.
Docker & OCI Containers
STANDARD // OCIHermetic container packaging with Cosign cryptographic signatures and minimal Alpine/Distroless bases.
Cloudflare & Fastly
STANDARD // EDGEGlobal edge reverse proxy, programmable WAF protection, and tag-based CDN cache invalidation.
LocalStack Sandbox
VERIFIED // LOCALSelf-contained local AWS emulation enabling developers to validate cloud topologies before merging.
Engineering Principles
Three things we hold to.
How we approach every engagement — the non-negotiables that keep systems maintainable, compliant, and buildable.
Reproducible by default
If it cannot be rebuilt from code, it is a risk waiting for the person who set it up to leave.
Designed for the bad day
Recovery paths, alerting, and runbooks decided before they are needed rather than during.
Right-sized
The simplest infrastructure that meets the requirement, not the most impressive one.
Engagement Outcomes
Production deliverables you own from day one.
Every engagement produces tangible codebases, automated pipelines, and operational specs your internal team actually runs.
Declarative Infrastructure as Code
100% codified cloud topology with reproducible environments, drift detection, and modular architecture.
- Modular Terraform/OpenTofu blueprints
- Strict state locking & isolation
- Multi-cloud migration ready layout
Distributed Telemetry & Alerts
Distributed tracing, centralized log aggregation, and real-time metric dashboards with automated anomaly alerting.
- OpenTelemetry distributed tracing setup
- SLO & error budget alert thresholds
- Real-time APM performance dashboards
High-Availability Architecture
Automated multi-AZ failover, regular backup verification, and rapid recovery time objectives (RTO < 15m).
- Automated point-in-time snapshot recovery
- Chaos engineering game day scripts
- Graceful network degradation fallbacks
FinOps & Team Transfer
Cloud cost attribution models, egress optimization policies, and thorough infrastructure handover guides.
- Per-service unit cost breakdown
- Automated resource autoscaling rules
- Architecture maintenance walkthrough
Tell us what you are trying to build.
Bring the constraint that worries you most. That is usually the fastest way to work out whether this is the right service for the job.