Architecture & advisory
Cut risk before you commit: target architectures, dependency maps, and phased migrations that respect your runway.
ZenKube · consulting & build
We help you tighten architecture, ship reliable software, and run platforms you can explain to finance—not slide decks that age in a week.
Stacks we ship in often
Evidence-led
Metrics, logs, and cost before opinions.
Small teams
No bait-and-switch to a bench you never meet.
Plain language
Architecture notes your leads can actually read.
Capability
Pick one lane to start or combine a few—each block below is a slice of work we have led end-to-end for product and platform teams.
Cut risk before you commit: target architectures, dependency maps, and phased migrations that respect your runway.
Interfaces, APIs, and performance budgets—shipping to edge networks and real devices, not localhost fairy tales.
Baseline controls, pipeline secrets, and incident playbooks that fit teams without a 24/7 SOC.
Landing zones, identity, networking, and cost guardrails—documented so handover is not a cliff.
CI/CD, IaC, and release trains that make production boring—the good kind of boring.
Pipelines, warehouse patterns, and pragmatic ML features with evaluation and rollback in mind.
Studio
ZenKube is a boutique practice—not a volume agency. We take a handful of concurrent engagements so response times stay honest and context does not evaporate between meetings.
01
We bias to small batches, reversible changes, and documentation that survives employee turnover.
02
Senior engineers and architects who still write code and still carry pagers when the engagement requires it.
03
Time-and-materials or fixed phases with explicit exit criteria—no open-ended “transformation” retainers without milestones.
Remote-first
Workshops and reviews over secure video; on-site when it genuinely helps.
UTC± friendly
Overlap windows agreed up front—no surprise midnight calls.
Toolkit
Filters are a shorthand—not an exhaustive list. If your stack is adjacent, we have probably touched something close to it in production.
Component models, SSR/SSG hybrids, and API surfaces that stay coherent as teams grow.
Ship once, tune per platform where native behavior matters.
Kubernetes when it earns its keep; managed services when they do not.
Operational correctness first; analytics paths second.
Evaluation harnesses, retrieval patterns, and cost-aware inference.
Pipelines, policy-as-code, and telemetry that shortens incidents.
.NET services, Entra-shaped identity, and Azure DevOps workflows for regulated environments.
Contact
Share enough context that we can reply with substance—stack, constraints, and what “done” looks like on your side.
Email contact@zenkube.devWe aim to respond within two business days.