Cloud & DevOps Engineering | Anexia Digital Engineering

Our offering is aimed at IT managers dealing with manual deployments and operational processes that have grown over time. For companies in Germany, Austria and Switzerland, we plan infrastructure automation based on the existing systems and the collaboration required.

For Infrastructure as Code, we first look for changes that occur regularly and are currently error-prone or hard to trace. These can be new environments, configuration changes or releases. Automation should make a clearly described process reproducible. If an unclear process is simply transferred into scripts, its contradictions remain and may affect more systems more quickly.

In the DevOps implementation, we therefore define inputs, responsibilities and the expected state. Error handling and rollback are planned in as well. For DevOps Engineering, we also consider who will later change and operate the automation. A single extensive script may work in the short term but makes handover and safe extension harder. Reusable building blocks are given limited tasks and understandable interfaces. A first implementation is tested and documented on a representative service. Shared patterns and necessary exceptions are then assessed. In this way, infrastructure automation grows out of concrete operational processes and supports gradual extension without requiring a complete platform renewal as the starting point.

Scope of services for DevOps Engineering

The agreed scope for Infrastructure as Code can include the following results: infrastructure inventory, target architecture, automation code, release process and operational documentation. For each key result, we define its purpose, who reviews it and in what form it is handed over. This allows development, operations and procurement to assess the same service. Vague umbrella terms in the proposal are replaced by concrete work packages.

The DevOps implementation also includes coordinating the necessary interfaces with your team. We clarify access, contact persons and available testing options before the relevant implementation steps. Changes to the scope are described together with their effect on effort and sequence. This gives you a clear overview of delivered results, outstanding prerequisites and additional requests.

The key technical decision in DevOps Engineering

Virtual machines, containers and managed platform services are selected according to the needs of the application. Additional platform complexity must deliver a concrete benefit. For infrastructure automation, we document the relevant assumptions and justify the chosen option. Key alternatives are considered against the same functional requirements. This makes later adjustments easier when load, data volume or organisational responsibility change.

A sound decision also takes maintainability and handover into account. For Infrastructure as Code, we check which skills are available in-house and what additional support is needed. Technical possibilities are thereby linked to a realistic operating model. The client can see which tasks will arise regularly after the project and which decisions remain with them.

Automation can spread a faulty standard more quickly. Changes are therefore first tested in isolated environments. In the DevOps implementation, we treat this point as a concrete review question. A risk is linked to the affected process, its potential impact and a suitable measure. Where prerequisites are still missing, the statement is explicitly left open until the necessary investigation has taken place.

We assess repeatability, transparency of changes, deployment time and the ability of another team member to restore the environment. For DevOps Engineering, we record the initial situation, the tested configuration and the result. Acceptance refers to the agreed scope. Open limitations are documented visibly and assigned to a next step with a clear owner. This enables your team to distinguish between proven functionality, a deliberate decision and an assumption that has not yet been confirmed.

Project example as an illustrative scenario

The following scenario is an application example and not a customer reference. A product team releases new versions through several manual steps and different environments. In DevOps Engineering, a complete change process would first be recorded. It would be necessary to distinguish which manual steps serve a functional purpose and which arose only from earlier technical limitations. The pilot would cover a frequently updated, clearly delimited service.

For infrastructure automation, configuration, build and deployment would be linked in a traceable way. It should be possible to create a new environment using the same defined steps. The test would also include missing parameters, interrupted deployments and a way back after a faulty release. Changes to data structures would need to be handled separately, because rolling back a program does not automatically restore the previous data state. The operations team would already be involved in designing diagnostics and handover.

Acceptance of the Infrastructure as Code would include a regular release, a deliberately induced error situation and the subsequent recovery. The intended results would be a versioned process, clear responsibilities and usable operational information. Success would be judged by fewer unexplained manual interventions and traceable changes. A later expansion would group services with similar requirements without hiding different data storage or availability needs behind a shared automation script.

Our experience and our engineering approach

We combine custom software development with the technical tasks of introduction and further development. For infrastructure automation, we bring the perspectives of application, integration and operations together in a shared workflow. The functional requirements remain linked to the technical decisions. You work with a defined scope of services and traceable results.

Our experience should be concretely verifiable for your project. In a technical exchange, we therefore explain how we examine the relevant risks, which work results are planned and how your team can assess them. For Infrastructure as Code, we align the roles involved with the actual need. Available references are presented with their respective project and company context; confidential customer details are not used as general advertising claims.

Documented product reference

The published framework agreement for maas.maker names Anexia Digital Engineering GmbH as the operator of the SaaS platform. We explain the specific relevance to your project in a technical conversation.

Effort for Infrastructure as Code

Existing deviations, network dependencies and necessary maintenance windows determine the effort of reliable standardisation. We therefore calculate DevOps Engineering on the basis of a defined scope and explicitly stated prerequisites. An initial analysis step can be useful if key technical information is still missing. Work packages and acceptance criteria can then be agreed on a more reliable basis.

Infrastructure automation can be organised as a limited project, as a joint implementation with your team or with subsequent support. Rights of use, access, documentation and responsibilities are clarified in the contract. Ongoing operating hours, response times and external consumption costs are subject to separate agreements. This keeps it clear which services are provided once and which tasks arise regularly after the introduction.

Scope boundaries of DevOps Engineering

The offering covers engineering and introduction; operating hours and response commitments of a managed service are agreed explicitly. For the DevOps implementation, we already set out this boundary in the proposal. Required additional services are included with their functional justification and are not silently assumed. This allows your team to plan suitable internal skills and divide the overall service sensibly among those involved.