
Explore scalable NFS clusters using Rook and CephFS for Kubernetes storage. Learn about dynamic deployment, high availability, and efficient management of distributed storage systems.

Explore how reactive, event-driven architecture enables innovation by decoupling from legacy systems, creating business value and facilitating gradual transformation to flexible platforms.

Explore Kubeflow's role in streamlining machine learning workflows, from model development to production deployment on Kubernetes, with insights on scalability and integration with TensorFlow and Apache Spark.

Explore Unikraft's journey from research project to mature unikernel solution, focusing on community growth, challenges, and lessons learned in cloud deployment optimization.

Learn key considerations for creating formal IT specifications, focusing on software projects, programming languages, and libraries. Gain insights into effective documentation for implementers and users.

Learn essential open source metrics and analysis techniques, covering data challenges, GitHub bots, accountability, privacy, and best practices for meaningful insights.

Explore a self-serve feature engineering platform leveraging Flyte and Feast technologies, enhancing data science workflows and machine learning model development.

Learn to orchestrate Spark jobs on Kubernetes using Argo Workflows, exploring architecture, resource management, and scaling advantages for efficient large-scale data processing in cloud-native environments.

Explore strategies for creating effective open source non-profits, avoiding common pitfalls, and fostering community growth through thoughtful organizational structures and practices.

Learn to create reproducible machine learning workflows using Kubeflow Pipelines, enhancing efficiency and scalability in ML projects with Google's open-source platform.

Explore Flyte, a cloud-native platform for machine learning and data processing, presented by Lyft engineers. Learn its features, benefits, and applications in modern data workflows.

Explore open source software qualification strategies for quality management, focusing on best practices and industry standards in automotive and embedded systems.

Explore modern streaming data platforms for real-time transaction processing, focusing on durability, scalability, and performance in critical data paths. Learn from Alpaca's experience re-engineering their order management system.

Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.

Explore open-source tools for efficient data streaming and lake management, enhancing your skills in modern data architecture and processing techniques.

Modernizing market risk management with open-source architecture: scaling calculations, accelerating model deployment, and improving risk management through hybrid cloud, DevSecOps, and event-driven architecture.

Explore how to enhance machine learning development using Azure and containers in Visual Studio Code, boosting efficiency and streamlining workflows.

Explore how cloud technology and open source solutions drive enterprise digital transformation, enhancing innovation and operational efficiency.

Exploring the value of university education for aspiring programmers, discussing benefits beyond academics like personal growth and networking opportunities.

Explore the parallels between academic research and entrepreneurship, examining how groundbreaking ideas in Computer Science spread and comparing it to successful product marketing strategies.

Explore Chiffre, an open-source, end-to-end encrypted analytics platform prioritizing privacy. Learn its architecture, features, and see a live demo with founder François Best.