Cloud infrastructure that won't hold you back when the business accelerates.
Built by senior platform engineers, focused on AWS, Kubernetes and multi-cloud - including AI, LLM and GPU workloads. Structured migrations, application modernization and day-2 operations with end-to-end observability, clear SLOs and architectures designed for 99.99% availability targets.
What we target in engagements of this type.
We don't publish client numbers. We publish the targets we work toward and the engineering behind them. Ranges reflect what we typically see in comparable environments - your context defines the actual result.
On-premise core banking to multi-region AWS
For the business — exit the data center without a dark window and with lower recurring cost.
Phased migration to multi-AZ EKS with cross-region replication, legacy relational database moved to managed PostgreSQL, and a cutover rehearsed before it counts. PCI-DSS requirements handled from the landing zone onward.
Self-service Kubernetes platform for product teams
For the business — product teams ship on their own, with guardrails, without queueing behind infrastructure.
Internal developer portal, versioned golden paths and end-to-end GitOps. The goal is a shorter path from commit to production and lower MTTR through observability standardized per service.
Reference architectures drawn from patterns we design and operate. Technical details and references can be discussed under NDA.
Three practices. Depth in each one.
We work as an extension of your platform team: we understand context and constraints before proposing scope, and we close out with runbooks, automation and an internal team able to operate.
Migration & modernization cloud · apps
For the business — leave legacy behind on a real timeline, with predictable cost and no downtime theater.
On-premise to cloud, cloud to cloud, and monoliths decomposed strangler-fig style. Discovery, wave planning, rehearsed cutovers with rollback - no 18-month rewrite.
- 6R assessment and TCO comparison
- Multi-account landing zone in IaC
- Containerization, Helm and GitOps
Kubernetes platform EKS · AKS · GKE
For the business — a platform your team operates, with governed cost and audit-ready controls.
Hardened clusters defined in code, multi-tenancy with a policy engine, KMS-backed secrets, tested DR and elastic capacity through Karpenter. Security is part of the platform, not an audit afterthought.
- Reproducible bootstrap and ephemeral environments
- Workload identity with no long-lived credentials
- Image signing, SBOM and runtime detection
SRE, FinOps & operations on-call
For the business — senior coverage while the internal team matures, with cost trending down under control.
Unified observability on OpenTelemetry, SLOs tied to error budgets, and continuous cost optimization with per-team showback. We typically aim for a 30-40% infrastructure cost reduction.
- Living runbooks, postmortems and GameDays
- CI/CD pipelines with a signed supply chain
- Right-sizing, savings plans and tag governance
Four phases. No PowerPoint theater.
You always know which phase you're in, what comes next, and who owns each side. Meetings stay short; the work lives in pull requests.
Discovery
Mapping of workloads, dependencies, cost and risk. Output: a technical report and a prioritized migration plan.
- Inventory and risk map
- TCO comparison
Foundation
Multi-account landing zone, federated identity, networking and guardrails - all reproducible in Terraform.
- IaC and guardrails
- SSO and least privilege
Migration / build
Wave by wave. For each workload: lift, refactor or rewrite - a technical decision, with a rollback plan.
- GitOps pipelines
- Rehearsed cutover
Operations & handover
Observability, SLOs, on-call and living documentation. We hand over the wheel - you don't stay dependent on us.
- Error budget policy
- Hands-on training
AI changes infrastructure, cost, code, deploys and risk - all at once.
For the business → adopt AI without blowing up the cloud bill, exposing sensitive data or locking into a single vendor.
We treat LLM and GPU workloads as platform engineering: capacity planning, cost per token, data isolation, guardrails and auditable deploys. Self-hosted, managed or hybrid - the decision comes from numbers, not hype.
Software born out of our own operations.
Alongside consulting, we build and run our own SaaS products on the same stack we recommend - AWS, Kubernetes, IaC and end-to-end observability.
Shine & Luster field ops · US market
For the business — the operating system for US cleaning companies, residential and commercial, in one app.
Replaces the patchwork of spreadsheets, texts and calendars: recurring scheduling, GPS-verified service, automated invoicing, supply tracking and audit-ready compliance.
Let's talk.
We prefer to listen before proposing. Share the context, constraints and goals - who answers on the other side is a senior engineer, not an SDR. Within one business day we schedule a 45-minute conversation to understand if it makes sense to work together.