Cloud platforms & hybrid IT

We design, implement, and operate infrastructure in the cloud, on the client premises, and in hybrid setups.

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Infrastructure

We deliver infrastructure where the business needs it: public cloud, in-house, or both connected. The criterion is where each workload must live.

Environment

Cloud and in-house infrastructure

The service covers a cloud platform, an environment on the client premises, or both joined with a perimeter and an owner for each integration. What cannot move is operated in-house and connected.

Cloud platform in operationInfrastructure detail
Services

Infrastructure services

We design, implement, and operate the foundation the system runs on. The engagement can be cloud, in-house, or hybrid—with high availability, observability, and a clear owner.

The application is built with engineering or the software factory. Here the deliverable is the environment that sustains it.

01

Cloud platforms

Architecture and implementation on AWS, Microsoft Azure, and Google Cloud: accounts, networks, compute, and the path to production.

02

In-house infrastructure

Compute, network, and environments on the client premises when the workload must stay for regulation, latency, or system dependency.

03

Hybrid setup

Connection between cloud and what stays in-house—with perimeter, timeout, and an owner for each integration.

04

Deployment and operations

Repeatable images and per-service production releases. One change does not require stopping the rest of the platform.

05

High availability

The service keeps answering if a node or zone fails. Backup and recovery are defined for both cloud and in-house.

06

Observability and 24/7 monitoring

Metrics, logs, and alerts with owner and severity. The environment is watched continuously—including outside office hours.

07

Environment security

Perimeter, least privilege, and secrets outside the image. The same bar applies in the cloud account and on the client site.

This practice is engaged to deliver infrastructure. We cover cloud, in-house environments, and hybrid setups between both—with high availability, observability, 24/7 monitoring, and environment security. Platforms we already operate prove the model. They are not the catalog.

Environments

Where the service is delivered

Cloud

The platform is designed for the public cloud the client needs. Day-to-day operations we run are on AWS; the same criteria apply on Microsoft Azure and Google Cloud.

  • Accounts, networks, compute, and permissions with a perimeter from the first environment.
  • More than one zone when the service requires high availability.
  • Separated environments. What is tested is what ships to production.

In-house

Some workloads stay put: a core system, a partner agreement, a third-party system, or data that must remain on the client’s premises. That environment is designed and operated too.

  • Compute, network, and environments on the client site, with tested backup and recovery.
  • The same artifact can run in-house when the architecture allows it.
  • One owner for the site and one for the platform—no gray zones.

Hybrid

The usual case is deciding what moves and what connects. Cloud and in-house stay linked with a boundary—not an open network.

  • Integrations with timeout and retry. A slow dependency does not exhaust the service.
  • Configuration outside the image, so environments change without rebuilds.
  • A perimeter between the cloud account and the client network.
Production

How it holds in production

High availability

The platform is designed to keep serving if a node, zone, or integration fails. Redundancy where the service requires it, plus an agreed recovery path for cloud and in-house.

Observability

Service metrics, logs, and traces—not just machine health. Latency, errors, and saturation show up before users report them.

24/7 monitoring

Alerts with threshold, severity, and an owner who responds at any hour. A silent monitor is also an incident.

Security

Network perimeter, least privilege, secrets outside the image, and accountable access. The same bar applies in the cloud account and on the client site.

Reference

What already proves the model

Service unit

The infrastructure we operate is not a shared server. Each service has its own image and deployment.

Bounded release

A change updates one service. If it fails, the failure stays in that artifact and the rest of the platform stays up.

Workloads that do not move

Payments, identity, and operations run on this base and connect to systems that remain outside the cloud.

Scope

What we deliver

Design, implementation, and operations

The service covers the environment end to end. We design the infrastructure, bring it online, and operate it.

Each workload in its place

What belongs in the cloud moves. What stays on site is operated in-house or connected.

The deliverable is the environment

The platform is ready for the application to run—in cloud, in-house, or hybrid.

Engagement

How an engagement moves forward

  1. Place each workload

    What must live in the cloud, what stays in-house, and which external systems it talks to.

  2. Design the environment

    Accounts or site, network, compute, permissions, and the path of a change to production.

  3. Make deployment repeatable

    Image, external configuration, and a pipeline the team can run again.

  4. Operate with a clear scope

    The first useful environment is bounded and includes availability, observability, and alerting. The next ones follow the same pattern—cloud or in-house.

If the work is building the application, continue with engineering or the software factory. Products already running on this infrastructure are under Products.

Discuss the scope