Docker Support Services

Get individual support for your organization’s Docker developments.

About Docker


Docker is an open-source platform that allows developers to build, package, and run applications in lightweight, portable containers. These containers include everything needed to run the application, ensuring consistency across different environments. 


Docker simplifies deployment, scalability, and dependency management, making it a key tool for modern software development and DevOps. It enables seamless collaboration by ensuring that applications run the same way on development, testing, and production systems.


Facing challenges with Docker container management?

Fabian Dechent has implemented efficient containerization solutions for enterprise-grade systems across industries - let's optimize your Docker environment.

Common challenges with Docker

Organizations adopting Docker often encounter several technical hurdles that can impact development efficiency and operational reliability. These challenges require strategic approaches and specialized expertise to overcome.
The following areas represent the most frequent pain points when implementing containerization strategies:

  • Containerization of software components

  • Running software reliably on several hardware/ operating systems

  • Support for GPU-access

  • Preparing software for deployment within Kubernetes

  • Optimizing docker builds with respect to build time, image size, security hardening

dida services

At dida, we leverage containerization technology to deliver robust and portable software solutions for our clients.
Our Docker expertise enables businesses to transition seamlessly to container-based architectures while maintaining reliability and performance.



I. dida containerizes software using Docker and podman


II. dida provides software components written in the course of new projects as container images

III. dida provides end-to-end Docker consulting, from architecture design and implementation to optimization and maintenance of containerized environments

How it works

Our methodical approach ensures you receive expert Docker containerization tailored to your specific organizational requirements, with a clear roadmap from initial assessment to production deployment. We collaborate with you through these essential phases:

  • 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 Docker support for approx. 1-3K EUR).


  • 3

    Within the next three working days, an experienced Machine Learning Engineer with competencies in Docker 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 Docker and want dida to do the initial setup and integration into their projects, or

  • are already working with Docker 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 Docker became the go-to solution for containerization, dida has focused on building, managing, and deploying containerized applications efficiently. The team has solved common challenges in container orchestration, image optimization, and multi-environment consistency. With this expertise, dida now offers a Docker support service to help organizations improve container management, streamline deployment, and enhance scalability.


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 Docker?

    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.