Skip to main content


At KubeSpectra, we are a passionate team of experts dedicated to empowering businesses with cutting-edge Kubernetes and infrastructure services. With the rapid evolution of technology, organizations are seeking scalable, efficient, and resilient solutions to manage their infrastructure. That's where we come in.

Our team of highly skilled professionals is committed to delivering top-notch services tailored to your unique needs. Whether you are just starting your journey with Kubernetes or need assistance in optimizing your existing infrastructure, we have the knowledge and expertise to guide you every step of the way.

Contact us today to learn more about our services and how we can help you navigate the complex world of Kubernetes and infrastructure management. Together, we'll build a foundation for success in the digital era.
profile image

Harald Gerhards

Harald Philipp Gerhards is the leader of the KubeSpectra project and Head of Cloud Engineering at infologistix GmbH. He did his PhD about sensor data analysis and automation in the field of renewable enrgy at RWTH Aachen University and is lecturer in the Artificial Intelligence Master program at the Technical University of Applied Sciences of Würzburg-Schweinfurt (THWS). He has several years of experience as a senior system architect for DWH, private cloud and container platforms. He focuses on cloud-native architectures, security and extensions for real-time analysis of existing DWH and BI architectures.

profile image

Suphanat Aviphan

Suphanat Aviphan studied Business Informatics at the OTH and the University of Regensburg. The title of master's thesis was "Analysis of Customer Reviews: Detecting user context with neural networks". Inspired by his semester abroad (Japan) and his work as a student trainee, he specialized in the fields of Data Science and Cloud Native Computing. He is a certified Kubernetes Developer and DevOps engineer with a focus on platform management and conducts training for Kubernetes. As an administrator, he manages the internal development environment (Azure) and the Kubernetes demo platform of kubespectra

profile image

Nico Graap

Nico is a data engineer with a passion for problem-solving and technology. With his extensive knowledge and experience, he provides valuable insights and guidance to clients. His personal focus as a mathematician is data science. Nico's expertise in IT systems, coupled with his strong communication skills, makes him a trusted advisor who delivers effective solutions and drives business growth. As a certified SCRUM Master he serves the KubeSpectra project to reach its goals.

profile image

Marie Padberg

Marie, a Computer Science graduate, is a versatile DevOps and AI Engineer. With her focus on Machine Learning, especially Natural Language Processing and Cloud Native, she brings a unique blend of skills and expertise to her work. Her certifications in AWS and Rancher validate her proficiency in cloud computing and container management. Marie's dedication to staying at the forefront of technology ensures she remains a valuable asset in delivering innovative and efficient solutions in the field of data science and infrastructure management.

profile image

Andreas Platau

Andreas Platau is a highly qualified professional who graduated in Business Informatics at the University of Karlsruhe. During his studies, Andreas focused on cloud-based architecture development and gained practical experience through eCommerce projects. Joining infologistix expanded his expertise, where he specialized in Kubernetes, Kafka, and IBM DataStage. Since June 2020, he has been actively involved in executing DataStage and Data Warehouse projects for esteemed clients in the finance and insurance industry. Andreas's skills and experience make him a valuable asset in delivering successful projects.

profile image

Paul Schmidt

Paul Schmidt is an Cloud Architect for infologistix GmbH. He graduated as M.-Eng in information systems. His focus is on Industry 4.0 and Business Intelligence. His technical specialties include pattern recognition and machine learning, as well as cloud integrations for AI. At the time of writing he is designing network architectures for cloud systems and operates as DevOps engineer for rancher managed clusters and integrated services. In the year 2021 he held a lecture on "AI development for peak shaving" at "TDWI München digital".