About me
Hi, I’m Vladislav Supalov.
I help technical founders build a clear engineering foundation before the team starts losing momentum to avoidable friction.
I work around the practical foundations that make a growing engineering team faster and less dependent on founder memory: infrastructure as code, config as code, containers, CI/CD, deployment workflows, developer tooling, and the repo context that helps both humans and AI coding tools make useful changes.
I like boring infrastructure when boring is what buys you time.
Not boring as in neglected. Boring as in understandable, repeatable, documented where it matters, and unlikely to surprise the next person who has to touch it.
The moment I care about
The moment I am most useful is usually right after the company’s technical tradeoff changes.
You shipped fast. You raised. You are preparing to hire.
Until now, it may have been completely reasonable for production to depend on a handful of manual cloud changes, deploy steps that live in one founder’s head, CI workflows that mostly work, and local setup that requires a walkthrough.
That kind of setup can be enough to reach funding.
It becomes expensive when more engineers need to build on top of it. Developers need to understand the setup, change it safely, and move without constantly pulling the founder back in for missing context.
I help make that possible before the gaps start disrupting the team.
What I believe
I believe early-stage systems should be judged by stage, not by enterprise checklists.
A small team does not need every piece of platform machinery a later-stage company might eventually need. It does not need complexity that exists mainly to look mature. It does not need Kubernetes theater, premature abstractions, or a months-long infrastructure transformation because somebody said “best practice.”
But a growing team does need the important parts to stop being implicit.
Cloud resources that matter should be reproducible. Configuration should be understandable. Deployments should be trusted. CI should help instead of slowing everyone down. Local development should not require folklore. AI coding tools should have enough structure, scripts, examples, and fast validation to be useful rather than noisy.
The best infrastructure work at this stage is not grand. It is practical.
It buys back founder time, removes avoidable surprises, and gives the next engineers a system they can work with.
How I work
Most work starts with a clear read of the current system.
The Infrastructure Foundations Review is a fixed-scope way to look at the infrastructure, configuration, containers, deployment flow, CI/CD, developer workflow, and onboarding friction before the team grows around the current setup.
From there, some teams use the report internally. Others continue into a focused implementation project, such as moving clicky cloud setup into infrastructure as code, cleaning up configuration, containerizing deployment paths, improving CI/CD, or making local development and repo conventions easier for new engineers to follow.
I prefer small, high-signal projects over vague retainers.
The work should leave the team with something concrete: clearer code-defined infrastructure, fewer manual steps, better scripts, more useful docs, safer deploys, faster feedback, or a calmer path for the next hires.
What I care about
I care about systems that people can understand.
I care about infrastructure that can be changed without requiring a séance with old Slack messages and cloud console history.
I care about deployment paths that do not make every release feel like an event.
I care about developer workflows that make good habits easier than bad ones.
I care about using AI coding tools in the places where the surrounding engineering system is ready for them: clear repo structure, consistent conventions, useful examples, and fast ways to check whether a change worked.
I care about right-sized engineering: enough structure to move with confidence, not so much structure that the team spends more time serving the tooling than building the product.
Relevant work
The kind of practical work I tend to help with includes:
- Moving manually configured cloud infrastructure into Terraform, OpenTofu, Pulumi, or another infrastructure-as-code workflow
- Making environment configuration easier to reason about across local development, CI, staging, and production
- Containerizing applications so development and deployment become more repeatable
- Improving CI/CD pipelines and release paths
- Reducing local setup friction for new engineers
- Turning founder-held production knowledge into clearer docs, scripts, and operating paths
- Creating repo conventions and validation paths that make AI-assisted development more useful
I also write about Docker, deployment, automation, infrastructure foundations, developer productivity, and making technical systems easier to reason about.
Good fit
This is a good fit if you are a technical founder or small founding team that has shipped quickly, raised funding, and is preparing to hire engineers.
You do not want developers getting stuck in avoidable fragility, slow feedback loops, undocumented production knowledge, or infrastructure that only one person can safely change.
You want a practical external read, followed by focused implementation work where it actually matters.
Not a fit
This is probably not a fit if you are looking for generic staff augmentation, 24/7 operations coverage, a full-time DevOps replacement, a large enterprise migration program, or a shiny platform project with no clear connection to founder time and team readiness.
I am most useful when the question is:
What should we make clear, reliable, and code-driven before more engineers depend on it?
Start with a review or a short call
The cleanest first step is a free discovery call. We use it to understand your stage, what you are hiring for, and where the current setup feels too manual or fragile.
From there, the likely next step is the Infrastructure Foundations Review: a fixed-scope review with a founder-readable report and prioritized next steps.