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Birgit00Data scienceWorking methodsMachine learningWhy AI Hallucinates – and What Technical Writing Can Do About It
Why AI systems hallucinate and how technical writing can help achieve more accurate results through structure, terminology and metadata. ➡️ Read now!
Nina00Data scienceDevelopmentCloudTerraform Tips: Securing Infrastructure-as-Code with Terratest – Part 3
Learn how to test Terraform modules with Terratest, detect errors early on and reliably secure IaC in CI/CD pipelines. 🖥️✔️
Aemilia und Svenja00Data scienceWorking methodsData-Driven Team Development – How OTTO Leads Tech Teams to Success
What makes tech teams truly effective? How we use data-driven team development to measure effectiveness. ➡️ Explore the blogpost
Team Jarvis00DevelopmentMachine learningLearning to Rank is Rocket Science: How Clojure accelerates Our Machine Learning with Deep Neural Networks
Learn how OTTO uses 🖥️ Clojure to build robust machine learning pipelines for learning to rank 🚀 and improves the search experience.- Team Jarvis00Development
Learning to Rank – To the Moon and Back(-propagation): Deep Neural Networks That Learn to Rank What You Love
Learn how OTTO optimizes search relevance using Learning to Rank – and the role Deep Learning plays for our Data Science team. 
Marco00DevelopmentOpen Source at OTTO: Transparency, Community & Innovation
Find out how OTTO lives Open Source – for more transparency, developer satisfaction and digital sovereignty. Read more about our strategy now!
Aashrika00DevelopmentEvents and cultureWorking methodsAWS & GCP – Two Summits, Countless Insights
Our personal insights & highlights ☆ AWS Summit Hamburg & GCP Summit Düsseldorf- Nina00DevelopmentWorking methodsMachine learning
What is an LLM? | Large Language Models explained
Learn how large language models (LLM) like ChatGPT work. An overview of the structure, training & potential of modern language models. 
Marvin00DevelopmentVisualizing Software Architecture with C4 Model
Problems with architecture diagram creation using traditional methods – e.g. UML? Solution: C4 model ► Tips for implementation & use- Andreas00Development
How UV Solves The Hard Problem of Python’s Package Management
Package management in Python ✓ Master challenges with UV package manager ✓ Read more about organization & benefits now! 
Alexander00Data scienceDevelopmentMachine learningAI assistant: From Vector Databases to Multimodal Agents
Optimization of our AI assistant ✓ Use of agent-based modeling ✓ Read more about reasons for optimization & the path now!- Nina00DevelopmentWorking methods
Terraform Tips: Scalable and Reliable Infrastructure-as-Code – Part 2
Optimize directory structure & resource organization ✓ Handling of input & output values ✓ Read more about Terraform Best Practices now! - Nina00DevelopmentWorking methods
Terraform Tips: Scalable and Reliable Infrastructure-as-Code – Part 1
Terraform Best Practices ✓ Define Infrastructure-as-Code ✓ Terraform Lifecycle & Terraform Modules ✓ Read more now! 
COST00DevelopmentCloudHow we used a simple trick to save USD 500,000 in data transfer costs
Increased efficiency of cloud usage ✓ Cost reduction ✓ Migration to dual-stack IPv6 ✓ Find out more now!
Dominik00DevelopmentWorking methodsDeveloper Hacks – Modern Command Line Tools and Advanced Git Commands
In this article, you learn more about a modern development setup, state-of-the-art alternatives to classic shell programs, and advanced git commands.
Team PIT00ArchitectureDevelopmentOperationsAbout the development of genAI assistants AskARev and Searchbuddy
Find out (in a very special way) how the PIT team at Otto Group data.works developed the generative AI-based products AskARev and Searchbuddy.- Nina00DevelopmentOperationsWorking methods
Meet Nina – From Healthcare Management to Software Development
Find out how Nina mastered her career change into software development with the help of her team and her great enthusiasm for IT! 
Fabian00DevelopmentOperationsWorking methodsConfluent Helps Power a Diverse and Scalable Online Shopping Experience for OTTO
Find out how OTTO is taking its 10-year-old data infrastructure into a new era with the event streaming platform powered by Confluent and making itself future-proof.- Jim00Data scienceDevelopmentMachine learning
Machine Learning Ops: What It's Like in Practice
Get an insight into Jim's work as an MLOps-focused engineer! In this article, he explains how a machine learning product is developed and how you can get started in this discipline yourself. - Mirco00Data scienceDevelopment
Spanner's Distributed Nature
At OTTO, Google Cloud Spanner is an integral part of several services. Mirco reveals the complexity of optimizing joins in Google Cloud Spanner and gives some helpful insider tips. 
Falk00DevelopmentEvents and cultureRecap of the EuroRust 2023 conference in Brussels
Kay and Falk were at the EuroRust conference in Brussels in mid-October. There are more and more enthusiasts of the Rust programming language at OTTO. The two of them tell you what went on at the conference and why Rust is a useful tool.
Daniel00DevelopmentSecuritySecurely managing sensitive data with HashiCorp Vault
Almost every application is using sensitive data, such as passwords or other login credentials, to log in to databases, third-party systems and the like. Such data should not end up in plain text in the version control system, but rather be kept under lock and key. For the secure storage of data, the use of Hashicorp Vault has gained acceptance at OTTO.
Christian00DevelopmentWorking methodsDagster: Data Engineering Best Practice during Slack Time
In the inc(AI) team, we are always trying out different tools and methods. Slack time has proven to be a good way of doing this, in which we learn alone or together. The motivation for such Slack time naturally comes from the challenges that we have to solve during our work. Our strategy is to always look to the open source community first to find suitable solutions for us. Some time ago, we also investigated a new tool called Dagster in our Slack time.- Stefanie00ArchitectureDevelopmentWorking methods
How to setup a Kanban board in Jira using sub columns
In this blog post I want to share the evolution of our Kanban board in Jira and how we worked around the missing feature of sub columns.
