Traveler on a snowy mountain peak before the moon

INFRASTRUCTURE FOR APPLICATION

Clear environment.
Verified recovery

We design and set up infrastructure for the application: hosting, containers, change releases, monitoring, and backups. We agree on resource costs and verify the recovery scenario.

Packages and pricing

TASK
SCENARIO
DATA

VERIFICATION
LAUNCH
HANDOVER

6 stages from requirements
to launch and handover

DEPLOYMENT
RELEASE
RECOVERY

700+completed
projects
2011year of start
of studio
40+niches and business-
models
2023Google
Premier Partner status
Development,
marketing, analytics
How we work

Architecture for project requirements

First, we break down the application, data, and allowable downtime. We determine which components are critical, where they can be hosted, and what the operating budget is. Not every project needs a cluster or Kubernetes.

We describe the environment and release procedure: build, checks, configuration management, and secrets. If the architecture allows, we split test and production environments and prepare a rollback procedure.

For recovery, we set a permissible data loss and target service restoration time. We configure backups to external storage and verify recovery. Replication aids availability but does not replace an independent backup.

  • Component schema and resource cost estimate
  • Repeatable environment and configuration
  • Release pipeline with checks and return
  • External backups and restoration testing
  • Metrics, notifications, and operating instructions

Environment

Versions and configuration described

Release

A change has checks and a path for rollback

Copies

There is an independent recovery source

Observation

The failure is associated with a clear notification

Fault tolerance is checked via a scenario

Having multiple servers does not guarantee availability. We check component failure, switching, and recovery according to an agreed plan; we show goals and actual results separately.

Approach

Infrastructure that can be maintained

Architecture complexity must match team requirements and capabilities.

Repeatable configuration

We describe versions, settings, and resources. We use containers and infrastructure-as-code where they simplify deployment and change management.

Verified release

We agree on readiness checks and the switching procedure. Data migrations require a separate plan: returning to the old container does not always restore the previous database schema.

Restoration and cost

We count not only servers but also storage, traffic, logs, and backup. We check copy frequency and recovery time against business requirements.

Process

From requirements to a working environment

Before purchasing resources, we fix limitations, recovery goals, and the budget.

01

Application audit

We collect dependencies, data, load profile, and current infrastructure. We check requirements for hosting and access.

02

Schema and budget

We choose the composition of components and redundancy. We evaluate recurring costs and agree on restoration objectives.

03

Environment preparation

We describe configuration, roles, and secrets. We configure servers or managed services to the selected extent.

04

Release pipeline

We add assembly, checks, and agreed-upon version switching. For the database, we set a separate migration procedure.

05

Copies and monitoring

We configure storage, retention periods, metrics, and notification routes. We check access to backups.

06

Verification and transmission

We execute the agreed restoration and release scenario. We hand over the schema, instructions, access, and support plan to the owner.

Practice

Deployment, configuration and monitoring

We choose the stack based on the application, load, and operating conditions.

Containers

Docker and Compose for suitable projects. We consider an orchestrator when requirements justify its complexity.

Configuration as code

Ansible or Terraform in an agreed volume. State, access, and secrets require separate secure storage.

Metrics and copies

Prometheus, Grafana, or available provider services. We check notifications and confirm the backup via restoration.

— COST

Pricing
to cloud architecture

From a single server to distributed infrastructure. We select the reservation level based on project requirements.

Scope of work VPS/VDS Start One server and basic operational setup 35 000 ₽ up to 7 days POPULAR Comprehensive Cloud Containers, configuration, and release pipeline 70 000 ₽ up to 14 days HA Cluster Enterprise Cluster with verification of agreed failures from 130 000 ₽ from 20 days
Servers
One VPS Cluster according to agreed schema
Containers
Installation and setup as assigned Images and orchestrator per specification
CI/CD
Not included Pipeline and architecture switching
Backups
Archiving and external storage Incremental copies in 2 regions per task
Monitoring
Basic server metrics Metrics, notifications, and logs
Database replication
Not included Replication and failover testing

One-time design and setup cost. Cloud resources, licenses, traffic, and subsequent operation are paid for separately. Availability and recovery goals depend on the agreed scheme; non-stop release is not possible for all changes.

— QUESTIONS AND ANSWERS

Everything that matters
before start

Scope of work, source materials, approval order, and launch conditions.

  • Does a small project need Kubernetes?

    Not necessarily. One server or Compose can cover requirements with less complexity. We choose the orchestrator based on the number of components, scaling requirements, and maintenance capabilities.
  • How is the provider selected?

    We compare service availability and payment options, data hosting, network requirements, support, and costs. We choose a specific provider after checking project conditions; server geography alone does not confirm all data requirements.
  • Is it possible to update without stopping?

    For suitable architecture, we can organize switching to a proven version. Data schema changes, long-running operations, and version incompatibilities require a separate plan and sometimes a maintenance window.
  • How is a backup different from a replica?

    A replica supports another working copy of data and can repeat an erroneous change. A backup allows returning to a selected saved state. Independent storage, permissions, and recovery testing are required.
  • What are recovery objectives?

    We define how much data is acceptable to lose after a failure and within what time the service should recover. Based on these requirements, we select the copy frequency and architecture. We confirm goals with tests, not just by writing them in the plan.