Google App Engine: Deploy Machine Learning Applications in Google Cloud
Deploy machine learning applications on Google Cloud using App Engine. Learn to leverage cloud infrastructure for scalable ML solutions.
Azure AI Studio and OpenAI Studio - Python SDK for Machine Learning and Data Science
Explore Azure AI and OpenAI Studio, learn Python SDK usage, and discover practical examples for machine learning and data science applications.
MLOps: Inference ONNX Model in Azure ML Managed Endpoint AKS
Deploy ONNX models to Azure ML Managed Endpoints (AKS) for efficient inference. Learn step-by-step process using Python SDK v2 to optimize machine learning operations.
CPU Inference with ViT ONNX Model in Azure ML Managed Endpoint - AKS
Deploy a Vision Transformer model for CPU inference on Azure Kubernetes Service using ONNX format and Azure ML SDK v2. Learn to create managed endpoints in Azure ML Studio.
MLOPS: Inference ViVIT ONNX Model in Azure ML Managed Endpoint (AKS)
Aprenda a implementar un modelo ViViT en ONNX para inferencia en CPU utilizando Azure Kubernetes Services y onnxruntime con Python SDK v2.
![[Portuguese] Habilite Plataformas de Desenvolvedores Seguras com Backstage, Vault e Terraform](https://img.youtube.com/vi/kE-EdI7e3PI/mqdefault.jpg)
[Portuguese] Habilite Plataformas de Desenvolvedores Seguras com Backstage, Vault e Terraform
Aprenda a criar plataformas de desenvolvimento seguras e eficientes usando Backstage, Vault e Terraform. Melhore a experiência do desenvolvedor e escale DevOps em sua organização.
Level-up Your DevOps with GitHub Actions and Kubernetes - NDC Oslo 2024
Automate deployments using Docker, GitHub Actions, and Kubernetes. Learn to build Dockerfiles, create DevOps pipelines, and deploy to Kubernetes for efficient content delivery.
Performance Tuning for Azure Cosmos DB - NDC Oslo 2024
Optimize Azure Cosmos DB performance through indexing policies, connection configurations, workload estimation, and throughput selection. Learn .NET/SDK settings and server-side programming for faster solutions.
Modernizing Applications to the Cloud with AI, Scalability and Optimizations
Modernize legacy apps with Azure: migrate to cloud, scale with Flex Functions, add AI via Logic Apps, and optimize in real-time using cutting-edge tools.
Meeting Societal Challenges: Scalable Big Data-driven, AI-enabled Approaches
Explore scalable big data-driven, AI-enabled approaches for societal challenges. Learn about innovative solutions in healthcare, agriculture, and smart cities using advanced analytics and deep learning techniques.
Federated Learning Tutorial: Concepts, Applications, Challenges, and Framework
Explore federated learning concepts, applications, challenges, and frameworks. Gain insights into collaborative machine learning while preserving data privacy and security.
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
Explore Fully Homomorphic Encryption for privacy-preserving machine learning, enabling zero-trust interactions and secure model deployment on untrusted servers.
Fine-tuning FinOps Approach: The Next Step
Explore advanced FinOps methodology for large organizations. Learn to establish observability at scale, detect usage patterns, and foster dialogue between teams to achieve long-term financial and technical goals.
Resiliency at the Edge - Automated Health Checks and Recovery for Remote Devices
Explore greenboot framework for Edge device resilience, including health checks and OS rollback. Learn implementation, see a demo, and discover future plans.
Device Provisioning at the Edge
Explore efficient and secure device provisioning for Edge systems, including requirements, tools, and lessons learned from RHEL and Fedora IoT teams.
Stream Processing at the Edge with Apache Kafka
Explore edge computing with Apache Kafka for improved performance and resiliency. Learn use cases, cloud integration, and Kubernetes management using GitOps. Includes IoT data processing demo.
Data Governance with Airflow and ECS Anywhere
Explore data governance compliance using Airflow and AWS ECS Anywhere for EU companies processing US data, ensuring legal adherence while maintaining efficient ETL processes.
Confidential VMs in the Cloud
Explore confidential instance types in Azure and GCP, focusing on security guarantees, Linux OS requirements, and implementation in Fedora and RHEL distributions.
FinOps and Observability: Technical Implementation
Explore technical implementation of FinOps and observability for managing cloud infrastructure costs in large enterprises. Learn architecture details and Terraform-based solutions.
Open Source Components in Cloud Services: A Deep Dive into Managed Offerings
Explore the open-source components in managed cloud services, focusing on Red Hat's offerings and the tools used to manage OpenShift clusters at scale.
The Many Ways of Launching AWS Spot Instances
Explore AWS spot instance challenges, API calls, and best practices for launching. Gain insights into hyperscaler limits and optimize your infrastructure for improved stability and efficiency.