This results in Linux and Kubernetes environments that not only run initially but also remain consistent, secure, and scalable during productive operation.
Security models, governance requirements, and network and storage design are defined as deliberate architectural decisions before the first component is deployed.
Governance, compliance requirements, and traceability are all part of the platform’s vision. Security requirements are consistently embedded, and audits do not become emergency projects.
Roles, access models, and operational responsibilities are defined early on. Dev, Ops, and Security teams can work in parallel without getting in each other’s way.
Open-source technologies and open standards reduce unnecessary dependencies. This ensures that your platform remains manageable and flexible in the long term.
Relevant if …
Depending on the starting situation, we begin at different points: from the target architecture to security and operating models, all the way to empowering your teams.
Our approach ranges from the Linux foundation through Kubernetes to security, monitoring, and enablement. What matters most is not the isolated implementation of individual tools, but rather a consistent platform design that brings together technical and organizational requirements and ensures long-term operation.
Kubernetes cluster design for networking, storage, and security; governance models for namespaces, RBAC, and policies; and migration and target architecture consulting.
Hardened Linux baselines, node lifecycle and operating models, and the stabilization of existing platforms.
Pod security and admission control, RBAC and network hardening, supply chain security using images, SBOMs, and signing, as well as the preparation of audit-ready environments.
SIEM integration—for example, with Wazuh—security dashboards, and incident workflows, as well as AI-powered threat hunting using locally deployed models.
Building Kubernetes platforms for sovereign IT stacks, such as those used in OpenDesk environments; providing support for migration and rollout; and developing operational concepts that are sustainable in the long term.
First, the vision; then, implementation.
We define the architecture, security, governance, and operating model early on—so that your environment remains manageable during operation and can be developed in a targeted manner.
We don’t start with individual tools, but rather with the vision for your platform. From there, we define the architecture, security, operating model, and enablement.
We tailor the architecture, security, and operating models to your existing processes, compliance requirements, and strategic goals. The result is not a one-size-fits-all solution, but a platform that fits your environment.
We design platforms so that they can be operated securely for years, developed in a transparent manner, and adapted to changing requirements.
From the Linux foundation to Kubernetes, security, monitoring, and enablement, we view the platform as a cohesive system.
A structured analysis of your platform provides clarity on your current situation, your target state, and the next steps.
Are you planning a new Kubernetes platform, looking to stabilize an existing environment, or seeking to systematically address security and compliance requirements?
In an initial consultation, we’ll clarify your current situation, your vision, and the most appropriate next steps. This will help us determine whether an architectural consultation, an assessment, a workshop, or direct project support is the best way to get started.
Frank Engel
Head of Platform Engineering
Your technical contact
Frank Engel and his team assist companies in planning and implementing Linux-, Kubernetes-, and open-source-based platforms—with a focus on automation, lifecycle management, and compliance-ready operational concepts.
Before we discuss tools, let’s clarify the target vision: What requirements must the platform meet, and who will operate it later on?
We rely on open-source technologies and open standards. The key is the interaction between the platform components—from the Linux foundation to GitOps workflows.
Hardened Linux baselines, along with clear node lifecycle and operating models, form the foundation of the platform.
Technologies and topics: Linux, Linux hardening, Node lifecycle, operating models
Kubernetes cluster design, namespaces, RBAC structures, and policies create manageable and scalable platform architectures.
Technologies and topics: Kubernetes, Namespaces, RBAC, Policies
Pod Security, Admission Control, Network Hardening, SBOMs, and Image Signing embed security directly into the platform’s architecture.
Technologies and topics: Pod Security, Admission Control, Network Hardening, SBOMs, Image Signing
Monitoring and observability provide transparency into how your platform performs during operation. SIEM integration, security dashboards, and incident workflows support the structured handling of security-related events.
Technologies and topics: Wazuh, SIEM Integration, Security Dashboards, Observability, Incident Workflows
Git-based workflows provide the foundation for traceable, version-controlled, and reproducible changes to the platform.
Technologies and topics: GitOps, Git-based Workflows
However, technology alone is not enough. A platform only becomes sustainable in the long term when your teams understand it, can operate it securely, and are able to further develop it independently.
A platform that only the service provider understands does not create independence—it merely shifts it. That is why enablement is not an optional add-on, but an integral part of our approach.
Training sessions provide a shared understanding of the platform and its key operational mechanisms.
Workshops that focus on real-world scenarios help teams implement changes in a way that is traceable, versionable, and structured.
Hands-on training enhances understanding of security mechanisms and supports the secure operation and further development of the platform.
What is Platform Engineering?
Platform Engineering refers to the structured design and ongoing development of platforms that remain secure, scalable, and operational over the long term.
The goal is to replace reactive operations with clearly planned, standardized, and transparent platform structures.
The starting point is a robust target vision that serves as the basis for systematically automating operational processes. ATIX brings to the table many years of experience from Linux, Kubernetes, and automation projects—including the use of proprietary tools such as orcharhino.
For Linux and Kubernetes platforms, these include, among other things, architecture, governance, security, operating models, and enablement.
Why isn’t it enough to just set up a Kubernetes cluster?
A running Kubernetes cluster does not yet constitute a viable operating model.
A running Kubernetes cluster does not yet constitute a viable operating model.
The crucial questions often don’t arise until later: How are updates implemented? Which Container Network Interface (CNI) is the best long-term fit for the environment? Why were certain ingress, storage, or security decisions made—and are these decisions documented?
What’s usually missing isn’t another tool, but rather a clear vision, well-reasoned architectural decisions, and robust operational structures. Without this foundation, operational complexity grows along with the platform.
What’s usually missing isn’t another tool, but rather a clear vision, well-reasoned architectural decisions, and robust operational structures. Without this foundation, operational complexity grows along with the platform.
Does Platform Engineering only make sense for new Kubernetes platforms?
No. Platform Engineering is suitable for both new platforms and existing environments. An established Kubernetes platform does not necessarily need to be rebuilt—often, targeted stabilization makes more sense.
To this end, existing structures, dependencies, and vulnerabilities are analyzed. This allows for the gradual evolution of the architecture, security, governance, and operating model without unnecessarily replacing components that are already functioning properly.
When should the platform architecture be defined?
The best time to make key architectural decisions is before the first deployment. The second-best time is as early as possible.
Network and storage design, security requirements, governance models, and operational responsibilities should be defined as early as possible. This helps reduce the need for later modifications, technical debt, and dependencies that are difficult to manage.
What role does security play in Platform Engineering?
Security is not an afterthought but an integral part of the platform design from the very beginning. Pod security, admission control, RBAC structures, network hardening, and supply chain security are therefore not added as an afterthought but are incorporated as deliberate architectural decisions.
Equally important is the team’s knowledge: A secure platform requires not only appropriate mechanisms, but also clear responsibilities and employees who understand these structures and can operate them safely.
How does Platform Engineering support audits?
An audit is complex, but there’s no need to panic if you’ve got the basics right. Platform Engineering embeds governance, traceability, and compliance requirements into the platform from the very beginning—not just in response to an audit.
Responsibilities are defined, architectural decisions are documented, and relevant structures are organized in a transparent manner. This ensures that information does not have to be reconstructed retroactively during the audit. The audit thus serves to confirm that operations are under control, rather than becoming a time-consuming search for clues.
What does Governance mean in the context of Kubernetes platforms?
Kubernetes can be used by many teams. To prevent this from leading to unclear lines of responsibility, governance is needed.
Clear namespaces, defined roles, enforced policies, and clearly defined responsibilities lay the foundation for controlled operations.
This allows multiple teams to work on a single platform without getting in each other’s way—and if a mistake occurs, it’s clear who is responsible.
How can we reduce our reliance on individual providers?
Digital sovereignty does not mean doing without support. The key is to retain control over one’s own platform.
Open standards and open-source technologies form an important foundation for this.
However, they are not enough on their own!
Interfaces, operational processes, update strategies, and internal expertise should also be designed in such a way that dependencies on vendors, licenses, and proprietary integration points remain transparent and can be consciously managed.
The goal is to create a platform that remains manageable and can be flexibly expanded over the long term.
Further Reading: Learn more about digital sovereignty in IT Infrastructure
Which teams should be involved in the platform design?
Dev, Ops, and security teams should be involved in the platform design early on. This is the only way to realistically define roles, access models, governance rules, and operational responsibilities from the very beginning.
A platform will later be operated and further developed by these teams. Therefore, their requirements should not be taken into account only after the technical implementation.
In this way, governance is not only documented but also effectively implemented in day-to-day operations.
What role does enablement play in Platform Engineering?
Enablement ensures that teams not only use the platform but can also operate it independently, further develop it, and actively shape it.
These include Kubernetes and container fundamentals, GitOps workshops, and hands-on security training. The goal is not only to transfer knowledge but also to enable participants to take concrete action in day-to-day platform operations.
Only those who understand the platform can operate it safely and develop it in a targeted manner.
What is the difference between Platform Engineering and DevOps?
DevOps primarily describes how development and operations work together: shared responsibility, short feedback loops, and continuous improvement.
Platform Engineering establishes the technical and organizational foundation for this, including standards, governance models, operational processes, and platform structures that enable DevOps teams to work reliably.
Would you like to set up your Linux or Kubernetes platform so that it is more secure, better organized, and sustainable in the long term?
Let us talk about the right way to get started.
