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Explora los charms Prometheus Scrape Config y Target: funcionalidad, relaciones soportadas, uso práctico y código fuente. Aprende a configurar y utilizar estas herramientas para monitoreo eficiente.
Explore real-time Linux: PREEMPT_RT patchset, use cases, and performance implications. Learn about deterministic response times and applications in telco, industrial automation, and robotics.
Explore LLMs: from basics to advanced applications. Learn to build and implement using open-source tools, overcoming adoption barriers in enterprise settings.
Explora Prometheus y su Charm: funcionalidades, métodos de recolección de métricas, relaciones soportadas y código fuente. Aprende a integrar Grafana Agent para enviar métricas desde otros Charms.
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.
Descubre COS-Lite: su definición, componentes, beneficios, despliegue y uso. Aprende sobre esta solución de Canonical para mejorar la observabilidad en entornos Kubernetes.
Explore real-time Linux's role in industrial transformation, focusing on Ubuntu 22.04 LTS's deterministic responses for time-sensitive applications in Industry 4.0, IoT, and telco innovations.
Leverage large language models to automate code refactoring, boost productivity, and streamline test migration. Learn effective prompt engineering and workflow integration techniques.
Explore Ubuntu Frame's power for embedding graphic applications in IoT, kiosks, and digital signage. Learn new features like diagnostic tools and remote assistance for streamlined device management.
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 securing open source software, minimal containers, and security scanning with Platform One and Canonical experts.
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 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.
Learn the fundamentals of charm development, including project setup and writing charms, with guidance from Pietro Pasotti in this community workshop recording.
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.
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