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Transformation · Hosting

The platform that keeps digital solutions running.

Somos-Co designs, takes over and operates technical platforms as part of a complete solution. Hosting connects runtime, delivery, observability, recovery and infrastructure accountability to the actual operating model.

Platform flow

From a change to observable operation.

Four connected platform layers: delivery pipeline, runtime, observability and recovery.

  1. Delivery pipeline

    Build, test and release changes reproducibly.

  2. Runtime platform

    Run applications and services in a defined environment.

  3. Observability

    Keep system state, events and relevant signals visible.

  4. Recovery

    Prepare backup, restore and operating routines transparently.

Technical foundation

Hosting is platform accountability—not merely provisioned infrastructure.

An operable solution needs more than compute. It needs a controlled delivery path, visible system state, defined security practices and prepared recovery.

  • Fit-for-purpose platform

    Cloud, container and infrastructure choices follow the needs of the solution and its operating model.

  • Controlled delivery

    CI/CD and deployment processes make changes transparent, repeatable and governable.

  • Prepared operations

    Monitoring, backup, restore and documented accountability are designed as part of the platform.

Hosting & platform capabilities

Operate the technical environment as a connected system.

The building blocks are selected according to architecture, risk and the responsibility model. Not every solution needs the same platform.

  • Cloud Hosting

    Provide application and data components in a suitably designed cloud environment.

    • Cloud resources
    • Environment design
    • Operational transition
  • Managed Kubernetes

    Run containerised workloads on Kubernetes or K3s through documented operating routines.

    • Kubernetes & K3s
    • Container platform
    • Workload operations
  • Platform Engineering

    Create reusable platform building blocks and clear paths from development into operation.

    • Platform building blocks
    • Developer workflows
    • Configuration management
  • CI/CD & Deployment

    Automate and govern build, test and release steps transparently.

    • CI/CD
    • Deployment processes
    • Release control
  • Monitoring & Observability

    Make platform and application signals useful for operations, diagnosis and capacity decisions.

    • Monitoring
    • Alerting
    • Logging
  • Backup & Recovery

    Prepare data protection and restoration as testable operating routines.

    • Backup
    • Restore
    • Recovery routines
  • Security Baseline

    Align access, secrets, network paths and technical hardening to a documented baseline.

    • RBAC
    • Secrets management
    • Network policies
  • Infrastructure Management

    Govern infrastructure state, configuration and technical changes across the lifecycle.

    • Configuration
    • Infrastructure updates
    • Technical documentation

Platform topology

How a change reaches operation — and how a request reaches the application.

Deliberately abstract: the diagram shows the shape of the controlled delivery and request path, not real topology, and no host, version or configuration detail. Every node can be selected and explains itself underneath.

Sequence

  1. Delivery
  2. Application online
  3. Request
  4. Operations

Development environment · Delivery 1/3The starting point of a change: development and local verification before it enters the defined delivery process.

CI/CD · Delivery 2/3Changes run through the defined pipeline — build, test and version — before reaching the target environment.

Deployment · Delivery 3/3The controlled step into the environment: defined deployment processes rather than manual intervention.

Internet · Request 1/3The public entry point. Everything behind it runs over a controlled traffic path.

Edge / origin shield · Request 2/3Edge and origin-shield layer in front of the cluster — the request path does not start at the application.

Ingress · TLS · Request 3/3Ingress with TLS termination and routing forms the controlled path to the application.

K3s cluster · System boundaryThe Kubernetes or K3s environment, bounded by RBAC and network policies.

Namespace · System boundaryThe bounded area inside the cluster where the application runs. Network policies, RBAC and network segmentation apply at this boundary.

Application · Where both paths endThe operated application, containerised in its own namespace. Both paths — request and delivery — end here.

Monitoring · Operations channelMonitoring and alerting make system state visible; incident workflows are documented.

Backup / restore · Operations channelBackup and restore as a documented part of the operating model.

The sequence begins in the development environment. From there, a change runs through CI/CD and a controlled deployment step into the application, which is then online. The request path subsequently runs from the internet through an edge and origin-shield layer to ingress with TLS termination and from there to the application. In operations, monitoring and alerting expose system state; backup and restore are part of the operating model. The cluster is bounded by RBAC and network policies.

Positioning

Kubernetes is not a standalone product.

Kubernetes is one possible technical foundation within Platform Services and Hosting. We use it where architecture, scale and the operating model benefit—not as an end in itself.

OT/IT operating boundary

Choose the appropriate operating location for each component

Time-critical control remains where process and safety requirements need it. Data, integration, monitoring and management components run in the most appropriate edge, on-premises or cloud model.

  • 01

    Edge

  • 02

    On-premises

  • 03

    Cloud

Within the transformation system

Operations, hosting and continuous improvement remain connected.

Operations carries day-to-day accountability. Hosting provides the technical environment and delivery path. Insight from both stages feeds Continuous Improvement.

  1. Before

    Operations

  2. Current stage

    Hosting

  3. Next stage

    Continuous Improvement

Problem Check

Which business decision needs a more reliable basis?

Describe the challenge, affected process and timeframe. In an initial Problem Check, we clarify which questions a dynamic model should answer.

For applications, platforms, IoT and digital-twin work, and managed operations.

peter.somos@somos-co.com