
Explore open-source solutions for developing and maintaining smart city infrastructure, focusing on efficiency, security, and longevity in civil systems implementation.

Learn to install and configure Zabbix, an open-source monitoring system, using Docker. Covers setup, environment variables, web UI overview, and adding client machines for comprehensive network monitoring.

Exploring the divide between open and closed systems in government, media, and society, emphasizing accountability, transparency, and the impact of digital technologies on information flow and power structures.

Exploring Shenzhen's unique electronics ecosystem and innovation culture, contrasting it with Western approaches to technology development and intellectual property.

Explore Chronon, an open-source data platform for AI and ML applications, in this 13-minute talk by Nikhil Simha, CTO and co-founder of zipline.ai. Discover the technical problems Chronon solves and how organizations can leverage it to accelerate their A…

Explore the potential of Web Assembly (WASM) in porting classic games to browsers through this 33-minute conference talk. Discover how the speaker used WASM to bring Doom to web browsers, making it playable on various devices, including mobile phones. Le…

Explore the rapidly evolving world of generative AI and its impact on business transformation in this 45-minute Devoxx conference talk. Discover how open source projects can standardize and democratize AI development for both regular application develope…

Explore AI's current capabilities, limitations, and practical applications with insights from an AI solopreneur. Learn about getting started, useful tools, and the role of open source in AI development.

Explore key security enhancements in Gradio 5, addressing issues identified in an independent audit to strengthen the platform's integrity and user protection.

Explore open-source AI models like Google's Gemma and their transformative potential. Learn about types, advantages, integration, and future trends in this rapidly evolving field.

Explore the evolution of AI/ML tech stacks and the emergence of a canonical stack for machine learning, democratizing AI for companies of all sizes.

Accelerate AI deployment with MLOps orchestration. Learn to integrate tools, streamline processes, and handle complex use cases for efficient ML application development and continuous delivery in production environments.

Explore MLflow's four components to simplify the machine learning lifecycle, from experimentation to production, enhancing reproducibility and accelerating development.

Explore Unguard, an open-source Twitter clone with deliberate vulnerabilities. Learn how Dynatrace detects web application exploits using this security playground for testing and demonstration.

Discover how to fine-tune LLMs on specific codebases using Flyte, an open-source orchestration platform. Explore multi-node, multi-gpu distributed training for efficient model adaptation with limited resources.

Explore feature flagging with OpenFeature and Dynatrace. Learn standardization benefits, implementation techniques, and how to leverage observability for controlled feature releases and progressive delivery.

Explore how Github allows access to deleted and private commits, uncovering potential security implications and understanding the reasoning behind this intentional design choice.

Explore PPTX.jl, an open-source Julia package for automatic PowerPoint generation, bridging data presentation with corporate familiarity. Learn its features and applications in business settings.

Explore accessibility best practices for technical documentation, covering color, fonts, contrast, links, media, and language. Learn to create inclusive content for diverse audiences.

Discover common Hacktoberfest pitfalls and learn strategies to maximize your open-source contributions, enhancing your skills and impact in the developer community.

Explore Shopify's journey in building Merlin, an open-source ML platform. Gain insights into the architecture, technologies, and tools used to scale machine learning work effectively.