Whatever tech stack the job requires, but...

... even I think that this is true, there are some tools I used a lot more than others in the last decade that I am extremely comfortable with.

Languages

  • Go

    The programming language I currently feel most comfortable with, as I have used it most frequently over the years, both professionally and privately. My entry version was Go 1.4 in 2014. Since then, I have applied Go in countless projects, conducted Go training sessions and workshops, and helped introduce and scale Go into companies.

  • Python

    Python remains my go-to language for data processing and AI. Professionally, I used Python for several years for the backend development of the EntwicklerHeld platform and have come to love it in combination with Django.

  • JavaScript

    JavaScript is essentially a topic in every project. Therefore, I regularly use JavaScript professionally with clients and, having expanded my knowledge over the past decade, now possess a comprehensive understanding of the language.

  • Java

    Java is always around, even when the job posting doesn't involve Java. Although my active Java days are a few years behind me, I still regularly encounter Java, Spring Boot, Quarkus, & Co. and feels comfortable working with them.

    • Tools

  • Docker (Containers in general)

    One of the technologies that has excited me the most in recent years. Since 2015, I have been using Docker and its ecosystem in almost every project, whether for the build process or for operations - it is always a key component.

  • Ansible

    Since 2015, I have been using Ansible for software delivery automation and appreciate the minimalism that the tool offers, along with its sheer power.

  • Terraform

    Whenever cloud resources need to be managed consistently, Terraform is used as an IaC tool. Since 2015, I have used Terraform to manage resources from various cloud providers, including AWS, GCP, OTC, IBM Cloud, Azure, and Hetzner Cloud.

  • Prometheus & Grafana

    The tool we used at EntwicklerHeld to monitor everything. Whether it was performance metrics or business metrics - we built both tools from the ground up for reporting purposes, implemented them, and continuously expanded them. Once you’ve done that, you understand the amount of work involved in a tool like Datadog, which brings many of the features you develop / configure on your own with Prometheus & Grafana ;)

    • Backend

  • Django

    The web framework for perfectionists with deadlines" - this statement hits the mark, and I have appreciated Django since my time at EntwicklerHeld as one of the best web frameworks.

    • Frontend

  • Vue.js

    The frontend framework we used at EntwicklerHeld. We applied and mastered some important Vue concepts (e.g., event-based communication between components) during the platform development.

    • Platforms

  • Amazon Web Services (AWS)

    I have been using the AWS Cloud regularly in various projects for over 10 years now, gaining both broad and in-depth experience. My knowledge in AWS is the most extensive and detailed among all my cloud service provider experiences.

  • Google Cloud Platform (GCP)

    Through the long-term operation of the EntwicklerHeld platform and my own interest in personal projects, I am very familiar with the Google Cloud and can build suitable cloud architectures, especially around the GKE service.

  • Kubernetes

    Through the operation of the Kubernetes platform on a Kubernetes cluster for managing dynamic and isolated user workspaces, I have built a profound knowledge around this platform and have continually expanded it due to my enthusiasm for "the operating system of the cloud."

  • Hetzner Cloud

    The simplicity and minimalism of this cloud have fascinated me from the beginning, which is why I have used and come to love Hetzner in many private and semi-professional projects.

    • AI & LLMs

  • ChatGPT & OpenAI API

    It’s rare for a tech release with such a peculiar name to be something I’d tell all my friends and family about—let alone one that shakes up the whole world. But ChatGPT did exactly that. Ever since, I’ve been using ChatGPT as a versatile tool in every possible way, exploring its full potential and testing its boundaries.

    • Databases

  • Postgres

    Data is often the true treasure of an application. As a result, the database automatically becomes a central focus of a project, even though it may not always seem that way. I have had the opportunity to integrate various on-premises and managed database systems during development and manage them in operation—mostly with PostgreSQL, where I have the most experience.

  • MongoDB

    I tried MongoDB for the first time in recent years and was very impressed. Since then, I have been continuously expanding my knowledge of MongoDB and am excited about every opportunity to apply this great database.

    • Operating Systems

  • Linux

    I started using Linux very early in my life because my father, a former admin, encouraged me to use this operating system. While I am not a specialist in the field, I have probably set up over 1,000 Raspberry Pis, root servers, or virtual machines in the last 10 years.

  • MacOS

    My operating system of choice when it comes to professional software development. I was satisfied with a laptop running Ubuntu for a long time, but I had to enter xrandr too often to give presentations on a projector. Therefore, I have been a satisfied MacOS user for the past 7 years.