Cloud & DevSecOps

Certified team with Google Cloud: native architectures, IaC, secure pipelines and end-to-end observability.

The platform, layer by layer

Infrastructure that becomes reliable operations

We design secure, automated and observable platforms that connect on-premise and cloud infrastructure with CI/CD, GitOps, security and observability. Each layer serves a purpose and enables the next, so you can deploy, operate and scale applications with more control and less risk.

A modern platform is not a list of tools. It is an architecture where infrastructure, automation, security and operations work as a single system. We integrate your own environments with Google Cloud and Azure under shared standards of governance, automation and control.

We are a certified Google Cloud Partner, with GCP-certified professionals and a specialized Google Workspace team to strengthen both your technology platform and your organization's collaboration.

What we build

Six foundational layers. Platforms built to operate.

From infrastructure to observability, every layer builds in automation, security and control practices to deliver reliable, scalable platforms ready to evolve.

  1. 01

    Infrastructure foundations

    The compute, network and storage base the platform runs on, sized and secured from the design stage.

    • Capacity planning

      Infrastructure sizing: capacity, performance and fault tolerance defined at design time.

      Sizing · Fault tolerance · Headroom

    • Connectivity and exposure

      Secure design of service access through segmentation, encryption, load balancing and control of traffic between users, applications and platforms.

      Segmentation · TLS · Load balancing

  2. 02

    Infrastructure as code

    Infrastructure is defined, versioned and deployed in an automated, repeatable and controlled way.

    • Declarative provisioning

      Reproducible, consistent infrastructure across environments, cutting manual configuration and configuration drift.

      Traceability · Reproducibility · Drift control

    • Standardization and reuse

      Modular, parameterized components that speed up new environments while keeping common architecture standards.

      Modularity · Versioning · Standardization

  3. 03

    Container and orchestration platforms

    Applications packaged consistently, and platforms able to run, scale and recover them automatically.

    • Immutable packaging

      Immutable, minimal, reproducible artifacts: what is built once reaches production unchanged.

      Immutability · Portability · Consistency

    • Resilience and scalability

      The orchestrator keeps the desired state: reschedules workloads, replaces failed containers and scales with demand.

      Autoscaling · Self-healing · Desired state

  4. 04

    Application architecture

    We design decoupled, scalable applications ready to evolve without compromising the stability of the platform.

    • Cloud Native design

      Applications ready to run in dynamic environments, with decoupled configuration, horizontal scalability and resilience by design.

    • Decoupled architectures and microservices

      Components with clear responsibilities, independent evolution and well-defined contracts between services.

    • Service management and exposure

      Centralized, controlled access to platform capabilities through authentication, routing, policies and API governance.

    • Event-driven architecture

      Asynchronous, decoupled communication to absorb demand spikes, improve resilience and reduce dependencies between components.

  5. 05

    Continuous integration and delivery

    From commit to cluster, with no manual intervention.

    • Versioning as the source of truth

      Every change comes in through review and is traced in the repository, which declares the desired state of applications and infrastructure.

      Stage 01 · Code

    • Continuous integration

      Automated build and testing of every change, producing reproducible artifacts ready to publish.

      Stage 02 · Build

    • GitOps delivery by reconciliation

      The state declared in the repository is applied to the platform continuously, with declarative rollback and no manual deployments.

      Stage 03 · Delivery

  6. 06

    Observability

    No signals, no operation: metrics, dashboards, and logs.

    • Metrics and alerting

      Time series, alerting rules and service level objectives that reflect the real health of the platform.

      Time series · SLOs · Alerts

    • Dashboards and visualization

      Operational and business dashboards that consolidate multiple sources into a single view to operate on evidence.

      Operations · Business · Multiple sources

    • Logs and diagnosis

      Centralized log collection, search and analysis to speed up incident diagnosis.

      Centralization · Search · Analysis

How we deliver it

A loop with controls, not a pipeline with an audit

Security is not the last stage: it is stitched into every one of the four.

01

Code

Every change comes in through review, with traceable history.

Control: Static, dependency and secret scanning on every pull request.

02

Build

Reproducible artifacts from one and the same commit.

Control: Minimal images, scanned, signed, with a component inventory.

03

Delivery

The repository declares the cluster's desired state.

Control: No manual access: the change is applied by reconciliation.

04

Operation

The platform is observed and corrected through signals.

Control: Policies enforced, secrets managed, and alerts active.

What you observe goes back into the code
Where we operate it

One control plane, three substrates

On-premise data center and public cloud operated with the same pieces and the same criteria.

The four pieces that cross all three

These are not three separate operations. The same Terraform describes on-premise and both clouds, the same Argo CD delivers to all three, and the same Prometheus observes them.

  • Terraform

  • Kubernetes

  • Argo CD

  • Prometheus

On-Premise

Own infrastructure

What we operate here

  • Virtualization and cluster nodes on owned hardware.
  • Network, storage, and backup under direct control.
  • Workloads with data residency or local latency requirements.
  • Continuity backed by the cloud for disaster recovery.

Google Cloud Platform

Public cloud · data and analytics

What we operate here

  • Managed Kubernetes and elastic compute on demand.
  • Managed data and analytics services, with no servers to operate.
  • Identity, network, and billing governed per project.
  • Recovery target for the data center's workloads.

Microsoft Azure

Public cloud · enterprise integration

What we operate here

  • Managed Kubernetes integrated with corporate identity.
  • Hybrid network connected to the on-premise data center.
  • Windows workloads and managed platform services.
  • Governance and compliance enforced per subscription.

Partners & Certifications

We are a certified partner, authorized to sell solutions and provide specialized professional services across the Google ecosystem.

Google Cloud Partner

Certified GCP cloud architects and data engineers, for migrations, native architectures, and data platforms on Google Cloud.

Google Workspace

A team of certified Google Workspace engineers to deploy, integrate, and optimize your organization's collaboration.

Google for Education

Solutions for educational institutions with Google Workspace for Education, Classroom, and Chromebooks, including implementation, adoption, and specialized support.

Chrome Enterprise

Secure management for Chrome browsers and devices, with centralized policies, enterprise protection, and implementation support.

Shall we design your platform?

On-premise, in the cloud, or both at once, the starting point is the same: understanding your operation.