Everything You Need to Know About Kubebuilder - Write Operators Like a Pro
Learn to create Kubernetes operators using Kubebuilder, covering project setup, API creation, code generation, custom resources, and validation techniques for efficient cluster management.
How to Write a MicroK8s Addon
Learn to create and share custom MicroK8s addons, extending Kubernetes functionality for your team or community. Covers architecture, development process, and best practices.
Unterminating Kubernetes Resources - Avoiding Unintentional Data Loss
Learn to build a Golang program interfacing with ETCD to prevent data loss by reversing termination of bound PVCs in Kubernetes, with step-by-step guidance on implementation and key concepts.
How Your Organization Is Killing Your Software - Improving Team and Product Architecture
Explore organizational impact on software development, team dynamics, and strategies to enhance productivity and product quality. Learn to navigate technical debt, rewriting challenges, and team structuring.
Tools for Building the Real-Time Organization
Explore tools and architectures for processing real-time data streams, enabling organizations to make faster, better decisions through event-based systems and reactive platforms.
LangChain Crash Course - Build an AutoGPT App
Learn to build an AutoGPT app using LangChain in just 25 minutes. Gain hands-on experience with this powerful AI framework and create your own intelligent application quickly.
Data Management for Your Next Generation Applications
Explore how a converged database streamlines infrastructure, eliminates complexity, and empowers developers to create innovative applications for next-generation business needs.
Automated Video Creation with Stable Diffusion AI Models - A Developer Guide
Learn to create automated videos with audio using Stable Diffusion AI models in Python. Hands-on tutorial covers installation, GUI usage, pipeline implementation, and provides GitHub resources.
Gradio AI Web Application - Hands-On Python Example With JoJoGAN Face Stylization Model
Learn to deploy a JoJoGAN face stylization model using Gradio in Google Colab. Hands-on tutorial covers model setup, inference code, GPU-to-CPU conversion, and creating a public web application interface.
LangChain Basics Tutorial - Tools and Chains
Explore LangChain's Tools and Chains: utility functions, basic chains, chaining, PAL Math, and API tools. Learn to develop applications using these powerful components.
Better Tracking for Your Deep Learning Training - Wandb.ai
Explore Weights and Biases for enhanced deep learning tracking, offering improved visualization, experiment comparison, and collaborative features for more efficient model development.
Generative Python Transformer Model Released - The Off-Brand Github Copilot
Explore GPyT, an open-source alternative to Github Copilot. Learn how to use this generative Python transformer model for code autocompletion and generation across various programming tasks.
Why vSphere Users Should Migrate to Open Source Private Cloud Today
Explore alternatives to VMware infrastructure, comparing OpenStack's features, flexibility, and cost-effectiveness for enterprise private cloud solutions. Learn about open-source options and managed services.
Introduction to Chaos Engineering With LitmusChaos
Explore Chaos Engineering fundamentals, its open-source landscape, and LitmusChaos features. Learn implementation strategies, differences from testing, and ways to contribute to this emerging field.
Resilient DevOps Practices with Code to Cloud Automation
Discover GitHub Actions for Azure to create resilient code-to-cloud workflows, implement governance with Azure Policies, and enhance container security through automated scanning.
PyTorch Datasets, DataLoaders and Transforms - GPU Series Part 3
Explore PyTorch's data handling tools: Datasets, DataLoaders, and Transforms. Learn to prepare, visualize, and optimize data for GPU-accelerated deep learning using Fashion-MNIST dataset.
Introduction to Tensors - PyTorch with GPU Series Part 2
Explore tensor initialization, GPU usage, operations, memory sharing, and profiling in PyTorch for efficient deep learning model development.
ML Testing & Explainability - Full Stack Deep Learning - Spring 2021
Explore ML testing and explainability techniques to enhance model performance, build confidence, and understand limitations. Learn software testing practices, CI/CD, and interpretable AI approaches.
Learn Computer Vision Web Development in 2 Hours
Comprehensive introduction to computer vision web development, covering HTML/CSS layout, OpenCV integration, and image processing techniques for creating interactive photo editing applications.
GitHub Actions - Branch Protection, Automated Testing - Full Tutorial
Comprehensive tutorial on GitHub Actions, covering workflows, secrets, testing, and productivity enhancements. Learn to set up automated processes and improve development team efficiency.
Stable Diffusion- Applying ControlNet to Character Design - Part 2
Explore advanced techniques in AI-powered character design using ControlNet 1.1, including inpainting, targeted variations, and contextual upscaling for enhanced digital illustrations and PNGtubers.