Practical questions, direct answers

A focused assessment runs two to four weeks. We review your accounts, workloads, pipelines, incident history, security posture, and spend, and we interview the engineers who operate the system day to day. You receive risk-ranked findings with remediation options and effort estimates, plus a sequenced roadmap tied to your business milestones. It is designed to be useful even if you never engage us further.

We deliver production work primarily on AWS and Azure, and we work with Google Cloud for organizations already committed to it. Our platform patterns — landing zones, infrastructure as code, runtime standards, observability schemas — are deliberately provider-portable, and we will tell you honestly when a multi-cloud strategy adds cost without adding resilience.

No. Kubernetes is the right answer when you have many services, shared runtime needs, and a team willing to operate it. For smaller estates or simpler workloads, managed compute services, container platforms like ECS or Cloud Run, or well-structured virtual machines can be more dependable at lower cost. We recommend the runtime that matches your team and workload, not the one that looks best on a slide.

Security is built into the platform rather than inspected in afterward. We implement policy as code, hardened landing zones, identity-first access design, and continuous evidence collection for frameworks like SOC 2, HIPAA, and PCI DSS. Simone Harper leads this practice, and she has worked on both sides of the audit table — our controls are designed to produce evidence on demand, not to scramble before a review.

Three: a focused assessment (2–4 weeks, fixed scope, produces a baseline and roadmap), an embedded delivery pod (3–9 months, a small senior pod builds the platform inside your team), and managed platform improvement (ongoing, quarter by quarter, operating and improving the platform against agreed metrics). Most clients start with an assessment or a pod and decide from there.

Week one is discovery: access provisioning, architecture walkthroughs, and agreement on the metrics we will move. Week two we start working in your repositories and channels alongside your engineers. There is no lengthy mobilization phase, no knowledge-gathering period billed at full rate — the pod arrives with a working agreement and starts delivering immediately.

Every engagement produces documentation your team can maintain: architecture decision records with rationale, runbooks for the operations your on-call team will actually face, golden path guides that reflect what the platform supports, and handover material written continuously rather than in a final-week scramble. Documentation quality is part of our definition of done.

Clients on managed platform improvement get defined severity levels with response windows: Critical within one hour around the clock, High within four business hours, Normal within one business day. The full severity definitions, intake guidance, and escalation path are published on our Support page. Engagements outside the managed model can add support coverage at any time.

Cost governance is a platform feature, not a finance exercise. We implement tagging standards enforced at deploy time, budgets with anomaly detection, and per-team allocation reporting so each team sees its own spend. The goal is attribution and accountability — teams that can see their costs make better decisions without anyone policing them.

You do — completely, and by design. We build in your accounts, your repositories, and your tooling, pairing with your engineers throughout. There is no proprietary agent, no licensed component, and no operational lock-in. Our engagements are measured partly by how comfortably your team runs the platform after we leave.

Assessments run two to four weeks. Embedded delivery pods typically run three to nine months depending on scope — a landing zone and runtime platform is often three to four months, while a regulated standardization program across many teams runs longer. Managed improvement is ongoing with quarterly review points, and most clients plan an exit to full internal ownership within two to four quarters.

Inside them. Our pod joins your channels, attends your standups, opens pull requests your engineers review, and pairs on anything complex. We deliberately avoid a separate "consultant stream" of work — every deliverable passes through your team’s own review process so the knowledge transfers as it is created.

Almost always, yes. We start from your existing estate rather than proposing a rip-and-replace. Where a tool genuinely blocks an outcome, we present the trade-offs and cost of change and let you decide. Migrations happen only when the evidence supports them, and they are sequenced so your team keeps shipping throughout.

A technical sponsor who can grant access and make architecture decisions, roughly two to four hours per week of your engineers’ time for pairing and reviews, and a clear statement of the outcomes you care about. We handle the rest of the mobilization, including access provisioning, repository setup, and baseline metric collection.