Terraform Support Services

About Terraform

Terraform is an open-source infrastructure as code (IaC) tool that allows users to define, provision, and manage cloud and on-premises infrastructure resources using a declarative configuration language.

Terraform follows a write-plan-apply workflow, enabling users to preview changes before implementation. Its main benefits are consistency, efficiency, scalability, and improved collaboration in managing complex infrastructure across multiple cloud environments.

Transform your infrastructure with expert Terraform guidance.

Fabian Dechent brings years of multi-cloud deployment experience to streamline your infrastructure-as-code journey—reach out today to build resilient, scalable environments that drive business value.

Common Terraform implementation challenges

Organizations adopting infrastructure as code often encounter several hurdles along their Terraform journey. The following challenges represent areas where strategic expertise can significantly reduce complexity and accelerate implementation success. dida's specialized knowledge addresses these pain points directly, helping teams establish sustainable infrastructure practices that scale with your business needs:

Managing cloud infrastructure using an infrastructure as code (IaC) approach

Implementing best practices in provisioning infrastructure components
Versioning of infrastructure setups
Replications of infrastructure setups within different development environments (such as development, staging, production)
Setup of continuous deployment pipelines (CD)

dida services

At dida, we provide comprehensive Terraform implementation solutions tailored to your organization's specific infrastructure needs. Our approach combines technical expertise with practical experience to ensure seamless adoption of infrastructure as code principles. Whether you're migrating existing resources or building new environments, our services are designed to maximize efficiency while maintaining flexibility across your cloud ecosystem:

I. dida maps current cloud infrastructure to a Terraform equivalent, to harness all benefits of IaC.

II. dida deploys infrastructure within new projects as Terraform modules

III. dida facilitates the integration of deployment tools like terragrunt

IV. dida’s IaC support is agnostic to the choice between terraform or tofu (open-source equivalent)

V. dida sets up CD pipelines within version control platforms such as GitLab and GitHub.

How it works

1

Book a 30min introductory meeting with one of our Machine Learning Engineers and tell us about your current situation / problem.
2

Based on your situation and requirements, dida will propose a lean plan on how to support your team quickly and efficiently (i.e. 1-3 days of Terraform support for approx. 1-3K EUR).
3

Within the next three working days, an experienced Machine Learning Engineer with competencies in Terraform will start working on your problem.
4

After successful completion: Decide to expand the service, book a certain capacity per month or continue on your own.

Flexible support services for development teams

This service is best suited for data science and IT teams that…

are planning on working with Terraform and want dida to do the initial setup and integration into their projects, or
are already working with Terraform and desire consultation, development support or evaluations of already developed code.

About dida

dida is a software company from Berlin, Germany, specialized in the development of individual machine learning services. The highly technical team not only trains and optimizes neural networks, it also deploys them in complex production systems and takes care of operations, maintenance and scaling.

Since Terraform became a standard for infrastructure as code, dida has extensively worked on managing cloud and on-premise environments for machine learning applications. The team has solved common challenges in infrastructure provisioning, scalability, and resource optimization. Using this expertise, dida now offers a Terraform support service to help organizations streamline their ML infrastructure.

Frequently asked questions

Who will be working on our project?

Depending on the desired support volume dida will provide you with 1-2 experienced Machine Learning engineers that have the most experience with this specific tool / technology / framework.
Who will be our main point of contact?

The dida engineer who will lead the project will be the main point of contact so that respective engineers can directly communicate with each other.
How quickly can dida’s team help us address our current challenges with Terraform?

After signing the contract, dida guarantees to start within the next three working days.
How will we communicate during the project?

We’re open to your preferred choice of communication and organization (Email, Slack, MS Teams, Gitlab / GIthub issues, …)
Does dida work remotely or on-site?

Most of dida’s work is typically performed from our office in Berlin, Germany. Nevertheless we regularly visit our clients for workshops, interim and final presentations or whenever the situation demands it. If on-site work is required, please let us know so that we can arrange it.
How often will we receive updates on the project?

For short term support services you will be updated either daily or after every milestone.
What qualifications and experience does your team have?

dida’s team comprises largely of scientists and engineers with backgrounds in mathematics and physics - many of them holding PhDs from prestigious institutions. The highly specialized team has 8 years of industry experience in implementing machine learning solutions. dida solves algorithmically complex problems and often tackles use cases where less specialized in-house departments previously failed. Amongst its clients are large European organizations such as Deutsche Bahn, Klöckner, Zeiss or APCOA.
Are there any subcontractors involved in the service delivery?

No, all purchased services will be provided by dida employees.