Stress-ng: Finding Kernel Bugs Through Stress Testing
Explore stress-ng's kernel testing methods, coverage, and future direction to uncover bugs through intense stress testing techniques.
The Arm Laptop Project: Running Mainline Linux on Windows-Built Hardware
Explore the journey of running mainline Linux on an Arm laptop, from project inception to current status, including challenges and solutions.
Hardware and its Concurrency Habits - Kernel Recipes 2023
Explore hardware structure, physics limitations, and synchronization mechanisms in modern computer systems for improved concurrent software design.
Fast by Friday: Why Kernel Superpowers are Essential
Explore efficient computing methodologies using kernel technologies like eBPF to solve performance issues quickly, saving cycles and carbon while improving user experience and reducing costs.
Demystifying the Linux Kernel Security Process
Explore Linux kernel security processes, vulnerability management, and best practices for maintaining secure systems.
Installing Landscape Beta on Oracle Cloud's Always Free Tier
Deploy and run Landscape beta on Oracle Cloud's Always Free tier. Learn to set up virtual machines, configure Juju, implement SSL, and manage the Landscape system for efficient Ubuntu server management.
Evolving Charmed OpenStack into a Bright New Future
Explore the evolution of Charmed Operators in OpenStack deployment, from automated to automatic ops, and learn about the hybrid model combining Kubernetes and machine charmed operators.
AI Retail Solutions: Market Basket Analysis
Explore AI-driven retail innovations, focusing on market basket analysis to enhance customer experience and boost retention through data-driven insights.
Ubuntu on WSL - An FAQ for Data Scientists and Developers
Explore WSL for data science and AI/ML development. Learn about WSL1 vs WSL2, key features, workflows, and performance benchmarks. Get started with Ubuntu on Windows for enhanced productivity.
Juju Charmed Operator Debugging with Jhack
Explore jhack CLI devtool for Juju charms, learning its popular commands and advanced debugging techniques for operator framework charms.
Introduction to Machine Learning Operations (MLOps)
Explore MLOps practices for efficient ML model deployment and maintenance. Learn about Charmed Kubeflow and how to choose the right solution for your AI/ML projects.
Software Operators on Big Iron: Juju, Charms and MicroK8s for Mainframes
Explore automating Kubernetes workloads on zSystem/LinuxONE using Ubuntu OS, Microk8s, and Juju software operators. Learn how Juju integrates with Microk8s on LinuxONE for enterprise-grade solutions.
Terraforming Your Juju World: The Many Ways to Run Operators - Operator Day Europe 2023
Explore integrating Juju with Terraform for enhanced infrastructure provisioning and application lifecycle management. Learn about use cases and roadmaps for Juju tools and libraries.
Fast and Reusable GitHub CI - Community Workshop
Optimize GitHub CI with caching, parallel testing, and shared workflows for faster, more efficient charm development and integration testing.
Securing Apache Spark Big Data Operations: Threats, Best Practices, and Pragmatic Steps
Explore Apache Spark security best practices, threat modeling, and practical steps to safeguard big data operations in various environments.
A Holistic Approach to Securing Spark-Based Data Engineering
Learn to secure Apache Spark-based data engineering applications. Explore security best practices, identify threats, prioritize requirements, and implement practical steps for Kubernetes and object storage environments.
Introduction to Charming - Juju Community Workshop
Learn the fundamentals of charm development, including project setup and writing charms, with guidance from Pietro Pasotti in this community workshop recording.
Kubeflow vs MLFlow: Choosing the Right MLOps Platform
Explore production-grade MLOps with Kubeflow and MLFlow. Compare features, benefits, and use cases to choose the right open-source tool for your machine learning operations.
Kubeflow vs MLFlow: Comparing Open-Source MLOps Platforms
Compare Kubeflow and MLFlow for MLOps, exploring their similarities, differences, and selection criteria. Gain insights into open-source machine learning operations and Canonical's solutions.
Open Source MLOps on AWS
Explore open source MLOps on AWS using Charmed Kubeflow. Learn about AI/ML challenges, industry benefits, and setting up efficient MLOps environments for quick experimentation and iteration.
Introduction to MLFlow: Managing Machine Learning Workflows
Explore MLFlow's role in managing machine learning workflows, its key components, and how it fits into the MLOps ecosystem. Learn about Charmed MLFlow and its applications.