
Explore the future of AI and Large Language Models in this thought-provoking keynote on open-source innovation and technological advancements.

Explore advanced API testing and mocking techniques using TestContainers modules. Learn to enhance development workflows and improve software quality through containerized testing environments.

Explore Apache Kafka's evolution, community impact, and future developments. Gain insights from industry leaders on Kafka's applications and upcoming features like KRaft.

Implement Event-Driven Architecture effectively with a Center of Excellence. Learn from real-life experiences in large industries to set up strong foundations, define designs, and guide development teams.

Explore strategies for modernizing data architecture, from technical aspects like JSON Schema and OpenTelemetry to human factors like building trust and adopting a product-focused mindset.

Discover 10 essential tips for enhancing data discovery and governance in your organization, from establishing a common data language to implementing data contracts and fostering collaboration.

Domina Python para automatizar tareas DevOps, mejorando eficiencia y productividad en la gestión de infraestructura y despliegues.

Domina los punteros en Go con ejercicios prácticos y ejemplos concretos. Mejora tus habilidades de programación y comprensión de la gestión de memoria.

Aprende técnicas avanzadas de prompting con LLMs, ChatGPT y LangChain basadas en experiencias de proyectos reales para mejorar tus habilidades en IA.

Despliega y configura infraestructura DevOps para proyectos usando Kubernetes, GitLab, Docker y Helm en Google Cloud Platform. Aprende a crear clusters, configurar pipelines y gestionar despliegues.

Explore OpenFeature, a vendor-neutral standard for feature flagging. Learn implementation, building, deployment, and management of your first feature in cloud-native applications.

Streamline Kubernetes add-on management across multiple clusters using Sveltos. Learn centralized configuration, event-driven frameworks, and version control for efficient, consistent deployments at scale.

Explore CERN's data management strategies, including open-source projects and FUSE implementation, to handle massive datasets from LHC experiments and serve global scientific community.

Explore techniques for optimizing kernel data structures using hardware-assisted profiling and automated analysis to improve cache utilization and overall performance.

Explore inheritance in C# OOP through practical examples. Learn implementation techniques, benefits, and code organization for enhanced reusability in programming.

Explore modern binary build systems for Python extensions, simplifying development with tools like scikit-build-core, meson-python, and maturin. Learn to create efficient compiled extensions and migrate existing projects.

Enhance Python documentation with interactive examples using PyScript, enabling serverless, runnable code snippets in various web platforms.

Explore Rewind, a time-travel debugger for Python that logs state changes, allowing forward and backward stepping through program execution for enhanced debugging efficiency.

Explore how LitmusChaos integrated CI/CD practices and pull requests to enhance code quality in chaos engineering. Learn strategies for improving development workflows and applying these principles to your projects.

Explore chaos engineering's role in uncovering system vulnerabilities and enhancing resilience. Learn to simulate real-world failures, identify weaknesses, and build robust infrastructures.

Explore updates on Java's Heterogeneous Accelerator Toolkit (HAT) project, focusing on GPU acceleration, programming models, and integration with Babylon and Panama FFM. Includes demos and future plans.