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Robert Koch Institute
- Berlin
- in/jakob-j-kolb
Stars
RKI Metadata Exchange | REST-API backend application for ingesting data from ETL-pipelines, enriching data from an editor application or collecting data for publishing purposes.
MCP server that interacts with Obsidian via the Obsidian rest API community plugin
High-performance Model Context Protocol (MCP) server for Obsidian that provides AI tools with direct vault access through semantic operations and HTTP transport.
Prometheus community Helm charts
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
A simple way to automate booking an appointment at Berlin Ausländerbehörde using java and selenium framework
Apache Hive Metastore as a Standalone server in Docker
Trino dbt demo project to mix and load BigQuery data with and in a local PostgreSQL database
Extremely fast Query Engine for DataFrames, written in Rust
This repository contains everything you need to become proficient in System Design
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
An orchestration platform for the development, production, and observation of data assets.
An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, Kubernetes, just like VMs.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
External Secrets Operator reads information from a third-party service like AWS Secrets Manager and automatically injects the values as Kubernetes Secrets.
Example for promoting a release between different GitOps environments
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Declarative Continuous Deployment for Kubernetes
Provide fine-grained push access to GitHub from a JupyterHub
FastAPI Best Practices and Conventions we used at our startup
command line tool to provide an easy framework to submit computer simulations of arbitrary variety in parameter space to various cluster frameworks
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.