Services
Engineering work, not advisory decks
Service 01
Cloud architecture & landing zones
We stand up the account structure, network, and identity baseline that everything else sits on. This is the load-bearing layer: get it wrong and every later decision inherits the debt. We build it as code so it is reviewable, repeatable, and yours.
AWS services used
What's included
- Multi-account AWS Organizations layout with separated prod, non-prod, and shared services
- VPC design — subnets, routing, egress control, and private connectivity
- IAM baseline: permission boundaries, roles, and least-privilege access patterns
- Full infrastructure as Terraform, committed to your repositories
- A Well-Architected review against the six pillars before anything goes live
You walk away with: A production-ready AWS foundation your team owns and can extend without us.
Service 02
Migration & modernization
We assess what you run today, map dependencies, and move workloads to AWS on a schedule your business can absorb. Where it makes sense, we modernize on the way — but we never let a rewrite hold the migration hostage. Every cutover has a tested way back.
AWS services used
What's included
- Discovery and dependency mapping across servers, data stores, and integrations
- Rehost with AWS Application Migration Service (MGN); database moves with DMS
- Zero- or low-downtime cutover plans sequenced by dependency and business risk
- A documented rollback strategy validated before each production cutover
- Post-migration right-sizing and a decommissioning checklist for the old estate
You walk away with: Your workloads running on AWS, with a cutover record and a rollback plan you can audit.
Service 03
Applied AI & GenAI engineering
We build AI features that survive contact with real users and real data. That means retrieval you can trust, evaluation you can measure, and monitoring that tells you when quality drifts. We integrate Amazon Bedrock and Anthropic models into your product as engineered systems with guardrails, not one-off prototypes.
AWS services used
What's included
- RAG pipelines: ingestion, chunking, embeddings, and retrieval tuned to your data
- Amazon Bedrock and Anthropic model integration behind your own API surface
- Evaluation harnesses and offline test sets so quality is measured, not guessed
- Monitoring for latency, cost, and answer quality, with drift alerts
- Production hardening: prompt-injection defenses, rate limits, and cost controls
You walk away with: An AI feature in production with the evaluation and monitoring to keep trusting it.
Service 04
DevOps & platform automation
We build the delivery platform your team ships on: pipelines that test and deploy, container orchestration that scales, and observability that makes failures legible. The goal is a platform your engineers operate without waiting on us.
AWS services used
What's included
- CI/CD pipelines with automated tests, image builds, and gated deployments
- Containerization and orchestration on EKS or ECS, sized to your workload
- Observability stack: CloudWatch metrics and logs, plus Grafana and Prometheus
- Infrastructure and pipeline definitions as code in your repositories
- On-call runbooks and dashboards your team can act on during an incident
You walk away with: A delivery platform your engineers own, with the dashboards to run it.
Service 05
Security & compliance readiness
We harden your AWS environment and organize the evidence so an audit is a paperwork exercise, not a scramble. This is readiness work: we build audit-ready architecture and controls. We do not issue certifications — we prepare you to pass them.
AWS services used
What's included
- IAM hardening: permission boundaries, access reviews, and root-account lockdown
- Encryption at rest and in transit with KMS key management and rotation
- Edge protection with AWS WAF and network-level controls
- CloudTrail, GuardDuty, and Config for auditable logging and detection
- Control mapping and evidence structure for SOC 2 or ISO 27001 readiness
You walk away with: An environment you can put in front of an auditor or a security questionnaire.
Service 06
Cost & FinOps
We find where your AWS spend leaks, right-size what's oversized, and put commitments where the usage is stable. Then we leave guardrails so the savings hold instead of eroding the next quarter. Every recommendation names the trade-off it makes.
AWS services used
What's included
- A full spend audit by account, service, and workload with the waste ranked
- Right-sizing backed by Compute Optimizer and real utilization data
- Savings Plans and Reserved Instance strategy matched to committed usage
- A tagging and cost-allocation model so spend maps to teams and products
- Budgets, anomaly alerts, and guardrails to keep the savings from eroding
You walk away with: A lower, legible AWS bill with the tagging and alerts to keep it that way.
Not sure which of these you need?
Describe what you're building and we'll tell you where the foundation work actually is — often it's less than you'd expect.