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Deployments
under control.

We organise environments, deployment of changes and monitoring of application behaviour.

One package passes through three successive gates on the same conveyor — illustration of the deployment process
The same version, successive environments.Test → staging → production

Stable foundations
for your product's development.

The environment, version and responsibility for deployment should be clear. We help organise the process and reduce manual steps.

What would you like to build?

Select your project scale. See a starting point for discussing the environment.

Environment scale
Proposed approach

Start simple. Kubernetes is optional.

A small application often needs simple hosting, automated deployment and a tested backup. We select tools according to requirements, skills and maintenance costs.

From a change to a safe deployment

The same application package moves through successive environments. The rollback plan also accounts for data and migration compatibility.

  1. Code changeVersion in the repository
  2. TestAutomated checks
  3. StagingAcceptance before deployment
  4. ProductionVersion available to users
Controlled rollback to a compatible previous version

Why organise your environments?

Before — manual deployments

Computer A
v1.2
Computer B
v1.3
Server
v1.1

Different versions. Manual steps. Uncertain rollback.

After — one deployment recipe

# One application package release: v1.4.0 environments: - test - staging - production
  • The same application version
  • Pre-deployment checks
  • Documented rollback plan
  • It is clear who accepts the change

The right tools at the right stage.

You do not need the whole set. We select the elements that suit the product and team.

Environments that
can be restored.

Configuration defined in code helps recreate an environment and control changes. A backup only has value when we know how to restore it.

Discuss your environment
# Example configuration resource "aws_s3_bucket" "app" { bucket = "example-app-storage" } # We define versions and access # separately for each environment.
  • Versioned configuration
  • Access control
  • Tested recovery plan

Monitoring and responsibility.

We implement logs, metrics and alerts. We agree on who responds and what they check — a chart without a responsible person does not resolve the problem.

  • Application and infrastructure monitoring
  • Alerts for important events
  • Clear allocation of responsibilities
Application stateDemo data

API response time · ms

Database · runningAPI: 680 ms > threshold 500 ms
Example alert: check the logs and the latest deployment. Actual thresholds are set for your service.

Common uses.

Initial deployment

Setting up the application, infrastructure and deployment process from scratch.

Deployment automation

Repeatable tests and deployments that reduce manual tasks.

Environment development

Organising the existing configuration and preparing the next stage.

How we start

A clear process. A defined scope at every stage.

  1. 1

    Consultation

    We learn about the product, team and constraints.

  2. 2

    Proposal

    We select the tools and plan the work.

  3. 3

    Implementation

    We configure environments and automation.

  4. 4

    Development

    We agree on monitoring and ongoing maintenance.

Frequently asked questions.

Do I need Kubernetes for my project?

Not necessarily. Orchestration helps with complex environments, but adds its own operational cost. For a simple product, we often choose a less elaborate deployment model.

What are the differences between AWS and Google Cloud?

They are separate platforms with broad service offerings. We compare specific needs: available integrations, data, regions, team skills and expected costs, rather than choosing on brand alone.

How can cloud security be ensured?

Permission management, updates, secure configuration, backups and tested recovery are among the measures needed. Scope and responsibilities must suit the system.