Containerisation and orchestration
Packaging services into containers and running them in Kubernetes or Docker Compose — sized to the task, without cargo-culting. Not every project needs Kubernetes, and we say so plainly.
DevOps · Kubernetes · CI/CD · Observability
Infrastructure and DevOps: so that production is predictable
Infrastructure reminds you it exists at the worst moment: releases go out by hand and on Fridays, a crashed service is noticed through customer complaints, and a backup is tested for the first time when it is already needed. We make rollouts boring, failures visible before the customer calls, and recovery tested in advance.
For teams whose infrastructure is holding back growth: releases are scary to ship, production is opaque, fault tolerance rests on one person, or a solution has to be deployed inside a closed perimeter in line with security requirements.
What is included
CI/CD
Build, tests and rollout on every commit, with quality and security gates and deployment by digest. Rollback is a routine one-command operation, not a middle-of-the-night emergency.
Observability
Metrics, logs and traces brought together in dashboards, plus alerts on what really matters. The goal is to learn about a problem before the customer does, and to understand the cause without digging through logs by hand.
Fault tolerance and backups
Redundancy, encrypted backups with regular restore testing, and clear RPO/RTO targets. A backup that has never been restored is a hope, not a backup.
Security and closed perimeter
Secrets in a secrets store, not in environment variables; hardened container isolation, access control, deployment inside a closed perimeter and in Russian data centres when data cannot leave the perimeter.
Infrastructure for data and AI
Data pipelines, storage and queues, environments for model training and inference — including local models inside your perimeter. Infrastructure on which analytics and AI work in production, not only in a notebook.
How we work
Infrastructure audit
We look at how build, rollout, monitoring and recovery work today, and find the places where everything rests on manual work and luck.
Plan
We prioritise by risk and effect: first, whatever breaks most often or costs the most when it fails. We do not redo everything at once.
Implementation
Containerisation, pipeline, observability and backups — in iterations, without stopping the product. Every step leaves the system in working order.
Handover
Documentation, incident runbooks and team training. Infrastructure that only the contractor understands is a new risk, not a fix for the old one.
Why us
We run our own systems
We have our own products in production, with containers, rollout pipelines, monitoring and backups. We solve infrastructure problems every day on our own systems, not only on our clients’.
Engineering, not a one-off deployment
Our case studies include production setups with a secrets store, encrypted backups and restore testing, security gates in CI and deployment by digest, and hardened container isolation. This is a reproducible practice, not a one-time configuration.
Honest scale
We match the infrastructure to the size of the task. If you do not need Kubernetes, we will say so and set up something you can maintain yourselves — not whatever costs more on the invoice.
Cases
Marketplace e-commerce · Sales analytics
In productionOne profit per SKU across three marketplaces, reconciled to 0.00%
Five seller accounts on WB, Ozon and Yandex Market merged into one SKU-level P&L: 0.00% variance vs the client's manual benchmark on a control SKU for one reporting period.
- 0.00%
- variance vs the client's manual benchmark across units, revenue, COGS, profit and margin for a control SKU over a month; threshold was 1%
- 1.18M rows
- of sales across 5 accounts and 12 months processed; 10.7% were ordered and settled in different months
Music tech · SaaS
MVP in operation (closed launch)Music releases without missed deadlines
Release ops for independent labels: 9-stage lifecycle, pitching deadlines for 12 stores, AI drafts with human approval. Zero to production-grade in 7 weeks.
- 7 weeks
- from first commit to a production-grade stack with Vault, encrypted backups, SLOs and a move to a Russian data centre (265 commits)
- 16 days
- from project start to an investor presentation with a live product demo
Marketplace e-commerce · Pricing
PilotRepricing without manual price control: a contract-guaranteed pilot
Competitor prices tracked per SKU on the marketplace, a price computed inside an agreed corridor, applied only after confirmation. Pilot: 10 SKUs, setup within 14 days.
- 10 SKUs · 2 scenarios
- pilot scope; the SKU cap and both scenarios are enforced in code and verified by contract tests — the cap cannot be exceeded
- up to 14 days
- contractual setup window from client inputs to launch, then a 1-month pilot; the service tracks the dates and closes access when the period ends
AI infrastructure / multi-agent systems R&D
Research projectA multi-agent environment where rules are code, not prompts
In four days we built and open-sourced (MIT) an agent environment where constraints are enforced in code: cryptography, Byzantine consensus, reproducible experiments.
- same hash
- a repeated run and a replay of the log give a byte-identical final event hash — anyone can repeat it from the MIT-licensed code
- 187 of 187
- engine tests green — master branch, commit 625b81d, as of 05.10.2026
IT consulting · Lead qualification
In-house productA pilot plan for the visitor, a qualified lead for sales
We replaced the contact form with an AI consultant: it interviews the visitor, returns a pilot plan with KPIs and risks, and sales gets a lead with budget and timeline.
- 1 day
- Working MVP — frontend, backend and deploy configs — built in a single day
- 16 days
- From first commit to production with HTTPS and an issued certificate on its own domain
Frequently asked questions
Do we need Kubernetes?
Often, no. Kubernetes is justified with many services, serious load and a need for automatic scaling; for one or two services it adds complexity with no gain. We choose orchestration to fit the task and say honestly when Docker Compose is enough.
How much does it cost to set up infrastructure and DevOps?
The cost depends on the state of the current infrastructure, the number of services and the requirements for security and fault tolerance. We start with an audit, prioritise the work by risk and effect, and name a range after the audit, rather than taking on a rebuild of everything at once.
Can everything be deployed inside a closed perimeter or in a Russian data centre?
Yes. We deploy solutions inside closed perimeters and in Russian data centres, with secrets in a store and no calls to external providers, when the data or the regulations require it. On one project, moving production to a Moscow data centre took one day.
How do you make sure backups actually work?
A backup without restore testing is not a backup. We set up encrypted backups with an automated restore run and clear RPO/RTO targets, so that recovery is a tested procedure, not a first attempt in the middle of an outage.
Do you support the infrastructure after setup, or only set it up?
Either is possible. We can hand the infrastructure over to your team with documentation and runbooks, or support it ourselves. Our goal is that you do not end up dependent on a single contractor, so knowledge transfer is part of the work by default.
Related services
Software product development: from prototype to live operation
Product development · SaaS and platforms · Backend, web, mobile
AI implementation for business: we start with the process, not the model
AI implementation · Process automation · Integration
Multi-agent systems: when one agent is no longer enough
Multi-agent architectures · LLM · Autonomy
Cost the effect on your own numbers
AVA is a process economics calculator. In a couple of minutes it shows whether this service pays off in your case — before you talk to us, with no commitment.
Estimate the impact with AVATell us about your task
Tell us what needs solving. If it cannot be solved or will not pay off, we will say so straight away, before any work starts.
or email us directly: hello@xteam.pro