
Optimize GitHub CI with caching, parallel testing, and shared workflows for faster, more efficient charm development and integration testing.

Explore Apache Spark security best practices, threat modeling, and practical steps to safeguard big data operations in various environments.

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.

Learn the fundamentals of charm development, including project setup and writing charms, with guidance from Pietro Pasotti in this community workshop recording.

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.

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.

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.

Explore Juju and Charms for Infrastructure-as-Code, learn Terraform integration, and master multi-cloud management with JAAS. Gain insights into efficient deployment and operation of applications across distributed environments.

Explore Kubernetes orchestration for AI workloads, optimizing cloud-native applications and simplifying data scientists' workflows. Gain insights into maximizing potential and addressing AI-specific use cases.

Explore production-grade MLOps, comparing Kubeflow and MLflow for open-source, community-driven machine learning tooling. Gain insights on pros and cons to make informed decisions.

Explore the relevance of private cloud for AI projects, covering key considerations, performance acceleration, and Kubernetes on OpenStack guidance.

Explore data lake architecture using Spark, Kubernetes, and OpenStack for flexible, scalable, and cost-effective large-scale data processing on private cloud platforms.

Explore Rancher 2.7's powerful features: HA installation, cluster management, monitoring, GitOps with Fleet, and RBAC capabilities. Gain hands-on experience with K3s cluster creation and dashboard visualization.

Explore GitOps concepts, ArgoCD architecture, and Crossplane benefits. Learn how these tools combine to provide a true GitOps solution through an end-to-end demonstration.

Explore Kubernetes debugging with ephemeral containers, focusing on troubleshooting distroless and slim images. Learn tips and tricks for effective container management.

Explore Kubernetes CKS certification essentials, including exam tips, cloud-native concepts, and Falco security tool. Gain insights and practical knowledge to become a certified Kubernetes security specialist.

Explore Kubernetes observability with groundcover, an eBPF-based monitoring solution. Learn to quickly identify and resolve issues through five failure scenarios, without instrumentation.

Explore K2D: Kubernetes-to-Docker translator for resource-constrained IoT devices. Learn its creation, advantages, and real-world applications through live demonstrations.

Explore Sveltos, a Kubernetes add-on controller simplifying deployment and management across clusters. Learn from project maintainer Gianluca Mardente about its journey and benefits.

Learn to perform CRUD operations on Kubernetes resources using Go. Master client libraries, environment setup, and essential operations like reading, creating, updating, and deleting pods.

Explore KubeRay, an open-source toolkit for managing Ray clusters on Kubernetes. Learn about architectural decisions, resource management, job submission, and autoscaling capabilities.