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19 Topics🚀✨ Get ready for a power-packed November with the Microsoft Zero to Hero Community! ✨🚀
From modernizing legacy applications to building intelligent AI agents, this month is all about innovation, security, and smarter cloud solutions. Whether you’re exploring Azure Service Bus, learning AI on AKS, or discovering how Copilot Studio can extend your AI capabilities, we’ve got something for everyone. 🌍💪 Our incredible lineup of global speakers will help you modernize, automate, and innovate with real-world insights across Azure, AI, and app development. 🌟 💡 November Highlights: 📢 Matthew Hess 📖 Get on the Bus! - The Azure Service Bus 📅 November 8, 2025 – 06:00 PM CET 🔗 https://streamyard.com/watch/jTD8RpCcrvAD?wt.mc_id=MVP_350258 📢 Jonathan "J." Tower 📖 Old to Gold: How to Modernize Your Legacy ASP.NET Apps Gradually 📅 November 15, 2025 – 06:00 PM CET 🔗 https://streamyard.com/watch/9cwXWNSeCW8R?wt.mc_id=MVP_350258 📢 Dharanidharan Balasubramaniam 📖 Build and Extend AI Agents with Microsoft Copilot Studio 📅 November 17, 2025 – 09:00 AM CET / 07:00 PM AEDT 🔗 https://streamyard.com/watch/bfcqHQsYQjNz?wt.mc_id=MVP_350258 📢 Lee Markum 📖 Modern SQL Server Features That Make Life Better 📅 November 22, 2025 – 06:00 PM CET 🔗 https://streamyard.com/watch/D4kqAMh83PUq?wt.mc_id=MVP_350258 📢 Thiago Shimada Ramos 📖 Building Intelligent Applications: Quick Guide to AI on AKS 📅 November 25, 2025 – 09:00 AM CET / 07:00 PM AEDT 🔗 https://streamyard.com/watch/D8mhvsJFEqCS?wt.mc_id=MVP_350258 📢 Wim Matthyssen 📖 Azure Bastion: One does (still) not simply walk into my VNet! v4.00 📅 November 29, 2025 – 06:00 PM CET 🔗 https://streamyard.com/watch/t6VZxDndvSkA?wt.mc_id=MVP_350258 🌎 With sessions across multiple time zones, from Europe to Australia, there’s always an opportunity to learn, connect, and grow. ✨ Don’t miss out on this month’s journey to modernization, intelligence, and security in the Microsoft ecosystem.45Views0likes0CommentsCopa: An Image Vulnerability Patching Tool
Securing container images is paramount, especially with the widespread adoption of containerization technologies like Docker and Kubernetes. Microsoft has recognized the need for robust image security solutions and has introduced Copa, an open-source tool designed to keep container images secure and address vulnerabilities swiftly. Learn about Copa in this blog.5.2KViews0likes1CommentEnable an Industrial Dataspace on Azure
What is an Industrial Dataspace? An industrial dataspace is an environment designed to enable the secure and efficient exchange of data between different organizations within an industrial ecosystem. Developed by the International Data Spaces Association, it focuses on key principles such as data sovereignty, interoperability, and collaboration. These principles are crucial in the context of Industry 4.0 where interconnected systems and data-driven decision-making optimize industrial processes and create resilient supply chains. A tutorial with step-by-step instructions on how to enable an industrial dataspace on Azure is available here. Use Case: Providing a Carbon Footprint for Produced Products One of the most popular use cases for industrial dataspaces is providing the Product Carbon Footprint (PCF), an increasingly important requirement in customers' buying decisions. The Greenhouse Gas Protocol is a common method for calculating the PCF, splitting the task into scope 1, scope 2, and scope 3 emissions. This example solution focuses on calculating scope 2 emissions from simulated production lines using energy consumption data to determine the carbon footprint for each product. Accessing the Reference Implementation The Product Carbon Footprint reference implementation can be accessed here and deployed to Azure with a single click. During the installation workflow, all the required components are deployed to Azure. This reference implementation supports data modelling with IEC standard Open Platform Communication Unified Architecture (OPC UA), aligned with the OPC Foundation Cloud Initiative. It also uses the IEC standard Asset Administration Shell (AAS) to provide product semantics, creating a Product Carbon Footprint AAS for simulated products and storing it in an AAS Repository. Finally, the implementation uses the IEC/ISO standard Eclipse Dataspace Components (EDC) to establish the trust relationship between the manufacturer and the customer, enabling the actual PCF data transfer via an OpenAPI-compatible REST interface. Conclusion Enabling an industrial dataspace on Azure can help manufacturers meet regulatory requirements, optimize industrial processes, and improve customer engagement by leveraging modern cloud technologies and standards to provide a secure and efficient data exchange environment, ultimately driving transparency and sustainability in the manufacturing industry.663Views1like0CommentsPartners accelerating industrial transformation with Azure IoT Operations
In the digital age, the essence of innovation lies not only in groundbreaking technology but also in the power of collaboration. At Microsoft, we have always recognized that our success is intertwined with the success of our partners. Our platform products, including the newly released Azure IoT Operations, are designed to be the foundation upon which our partners can build transformative solutions. These collaborations are more than just business arrangements; they are the bedrock of a thriving ecosystem that drives innovation, addresses customer needs, and propels industry standards forward. Partnerships enable us to extend our reach and impact far beyond what we could achieve alone. By combining our technological prowess with the domain expertise and creativity of our partners, we create a dynamic synergy that fosters groundbreaking advancements. This collaborative spirit is vital as we navigate the complexities of the Internet of Things (IoT) landscape, where diverse applications and specialized knowledge are paramount. Our partners bring unique perspectives and capabilities to the table, ensuring that Azure IoT Operations can cater to a broad spectrum of industries and use cases.3KViews4likes0CommentsFinOps para AKS (Serviços Kubernetes do Azure): Um Guia para Otimização de Custos
Este é o terceiro artigo da serie FinOps. Você pode acessar os artigos anteriores pelo links: (1) FinOps é SÓ o primeiro passo ... que venha DevSecFinOps (2) Democratizando FinOps com FOCUS No cenário em constante evolução da computação em nuvem, gerenciar custos de forma eficaz enquanto se mantém o desempenho ideal é um desafio que muitas organizações enfrentam. Os Serviços Kubernetes do Azure (AKS) oferecem uma plataforma poderosa para orquestração de contêineres, mas sem práticas adequadas de operações financeiras (FinOps), os custos podem rapidamente sair de controle. Aqui estão algumas recomendacoes para implementar FinOps no AKS para garantir crescimento sustentável e otimização de custos.528Views1like0CommentsDAPR, KEDA on ARO (Azure RedHat OpenShift): passo a passo
Veja também o artigo AKS: Configurando DAPR, KEDA no AKS Neste artigo, teremos foco nas configurações necessárias para rodar DAPR, KEDA on ARO (Azure RedHat OpenShift). Desta forma, aproveitei para montar este repositório no GitHub chamado "App-Plant-Tree" que cobre conceitos sobre Arquitetura Cloud-Native combinando as seguintes tecnologias: Go - Producer/Consumer App Distributed Application Runtime - DAPR Kubernetes Event Driven Autoscaling - KEDA Azure RedHat OpenShift (ARO) Azure Container Registry (ACR)1KViews1like0CommentsConfigurando DAPR, KEDA no AKS
A CNCF (Cloud Native Computing Foundation) define Aplicações Cloud-Native como software que consistem em vários serviços pequenos e interdependentes chamados microsserviços. Essas aplicações são projetadas para aproveitar ao máximo as inovações em computação em nuvem, como escalabilidade, segurança, flexibilidade e automação. Alguns dos projetos Cloud-Native mais conhecidos da CNCF são: Kubernetes, Prometheus, Envoy, Jaeger, Helm, DAPR, KEDA e etc. Neste artigo, falaremos sobre DAPR, KEDA e como esta combinação pode trazer eficiência e flexibilidade na construção de aplicações em Kubernetes.1.1KViews2likes0Comments