Cloud architecture
Scalable, resilient architectures on AWS, Azure or Google Cloud: networks, subnets, security groups, load balancers and auto-scaling, sized for your load and budget.
ServiceView moreWe design, build and tune the infrastructure under your products: cloud, networks, pipelines, monitoring and security. Infrastructure as code keeps it reproducible, and AI helps turn alerts and logs into answers.
Scalable, resilient architectures on AWS, Azure or Google Cloud: networks, subnets, security groups, load balancers and auto-scaling, sized for your load and budget.
ServiceView moreWorkloads assessed, planned and moved to the cloud with minimal downtime, from applications and databases to the data transfer and the tuning after the move.
ServiceView moreBuild, test and deployment pipelines, containers and infrastructure as code, so every environment is created the same way and releases stop being manual work.
ServiceView moreMetrics, logs and traces collected in one place, with alerts and incident workflows that point to the cause instead of flooding the team with noise.
ServiceView moreFirewalls, VPNs, identity and access management, encryption, security audits and vulnerability assessments, with regulatory requirements built into the setup.
ServiceView moreBackup strategy and disaster recovery plans tested in advance, plus right-sizing, caching, CDN and reserved capacity to keep the cloud bill under control.
ServiceView moreAI in this service
Infrastructure produces more signals than a team can read. AI and automation take the first pass, and engineers decide what changes.
An AI assistant reads the alert, the related logs and recent deploys, summarises what happened and proposes a fix for the on-call engineer to confirm.
Routine responses such as restarts, scaling, ticket creation and notifications to Slack or Telegram run as n8n workflows with approvals where needed.
Configuration and pipeline code is drafted with AI and reviewed by engineers, so new environments and changes ship sooner without losing control.
Why Qberry
The same team designs the application and the platform it runs on, so the infrastructure fits the product rather than a generic template.
Everything lives in code and version control: environments, pipelines and access rules can be reviewed, repeated and handed over.
A fixed-price setup, time and material, or a dedicated team for ongoing work, chosen by your scope and budget.
Cloud and containers for the platform, code for its configuration, AI and n8n for the operations around it.
n8n
Claude
OpenAI
Python
TypeScript
Node.js
PostgreSQL
MySQL
AWS
DockerWith our technical process
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Automated initial client interaction powered by n8n and AI — filtering non-target inquiries and passing only qualified leads to managers.
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An AI assistant answers on every channel, collects the car, problem and urgency, checks the live schedule and turns each request into a ready-to-confirm booking.
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Project Hi Eye was initiated to make it easier for you to shop for CBD products in line with today's technology and trends.
View detailsThe design, setup, management and maintenance of the technology foundation your business runs on: cloud infrastructure, networks, security, monitoring, optimisation and ongoing support, so your systems run reliably and efficiently.
It depends on complexity, scale and scope. A cloud setup for a small business usually starts from $10 000 to $25 000, enterprise infrastructure projects range from $50 000 to $200 000 and more. You get a detailed estimate after we review your requirements and current setup.
Yes. We assess the current infrastructure, prepare a migration plan and move applications and data with minimal downtime, then optimise the new setup after the migration.
Yes. Support covers monitoring, troubleshooting, security updates, performance optimisation and capacity planning, so the infrastructure stays secure and keeps pace with the business. For day-to-day coverage of your whole IT, see managed IT services.
AWS, Microsoft Azure and Google Cloud. We recommend one based on your stack, your team and your budget, and keep the setup in code so it is not tied to a single console.
AI assists with reading logs and alerts, drafting infrastructure code and preparing incident summaries, while n8n workflows automate routine responses. Every change to production is reviewed and approved by an engineer.
Let's talk about your project
Illia Kvasnitkiy
CEO at Qberry
"Qberry impresses with technical prowess, timely delivery, and excellent communication. Their dedication to quality enhanced our partnership."