Construa, inove e #Hacktogether!
🛠️ Construa, inove e #Hacktogether! 🛠️ 2025 é o ano dos agentes de IA! Mas o que exatamente é um agente? E como você pode criar um? Seja você um desenvolvedor experiente ou esteja apenas começando, este hackathon virtual GRATUITO de três semanas é sua chance de mergulhar no desenvolvimento de agentes de IA. 🔥 Aprenda com mais de 20 sessões lideradas por especialistas, transmitidas ao vivo no YouTube, abordando os principais frameworks, como Semantic Kernel, Autogen, o novo Azure AI Agents SDK e o Microsoft 365 Agents SDK. 💡 Coloque a mão na massa, explore sua criatividade e crie agentes de IA poderosos! Depois, envie seu projeto e concorra a prêmios incríveis! 💸 Datas importantes: Sessões com especialistas: 8 de abril de 2025 – 30 de abril de 2025 Prazo para envio do hack: 30 de abril de 2025, 23:59 PST Não perca essa oportunidade—junte-se a nós e comece a construir o futuro da IA! 🔥 Inscrição 🎟️ Garanta sua vaga agora! Preencha o formulário para confirmar sua participação no hackathon. Em seguida, confira a programação das transmissões ao vivo e inscreva-se nas sessões que mais te interessam. Após se inscrever, apresente-se e procure por colegas de equipe! Submissão de Projetos 🚀 Leia atentamente as regras oficiais e certifique-se de entender os requisitos. Quando seu projeto estiver pronto, siga o processo de submissão. 📝 Prêmios e Categorias 🏅 Os projetos serão avaliados por um painel de jurados, incluindo engenheiros da Microsoft, gerentes de produto e defensores de desenvolvedores. Os critérios de avaliação incluirão inovação, impacto, usabilidade técnica e alinhamento com a categoria correspondente do hackathon. Cada equipe vencedora nas categorias abaixo receberá um prêmio. 💸 Melhor Agente Geral - $20,000 Melhor Agente em Python - $5,000 Melhor Agente em C# - $5,000 Melhor Agente em Java - $5,000 Melhor Agente em JavaScript/TypeScript - $5,000 Melhor Agente Copilot (usando Microsoft Copilot Studio ou Microsoft 365 Agents SDK) - $5,000 Melhor Uso do Azure AI Agent Service - $5,000 Cada equipe pode ganhar em apenas uma categoria. Todos os participantes que submeterem um projeto receberão um badge digital. Transmissões 📅 Português Inscreva-se em todas as sessões em português Dia/Horário Tópico Recursos 4/8 12:00 PM PT Bem-vindo ao AI Agents Hackathon - 4/10 12:00 PM PT Crie um aplicativo com o Azure AI Agent Service - 4/17 06:00 AM PT Seu primeiro agente de IA em JavaScript com o Azure AI Agent Service - Outros Idiomas Teremos mais de 30 transmissões em inglês, além de transmissões em espanhol e chinês. Veja a página principal para mais detalhes. 🕒 Horário de Suporte Técnico Precisa de ajuda com seu projeto? Participe do Horário de Suporte Técnico no canal de Discord de IA e receba orientação de especialistas! 🚀 Aqui estão os horários de atendimento já agendados: Dia/Horário Tópico/Anfitriões Toda quinta-feira, 12:30 PM PT Python + IA (Inglês) Toda segunda-feira, 03:00 PM PT Python + IA (Espanhol) Recursos de Aprendizado 📚 Acesse os recursos aqui! Junte-se ao TheSource EHub para explorar os principais recursos, incluindo treinamentos, transmissões ao vivo, repositórios, guias técnicos, blogs, downloads, certificações e muito mais, atualizados mensalmente. A seção de Agentes de IA oferece recursos essenciais para criar agentes de IA, enquanto outras seções fornecem insights sobre IA, ferramentas de desenvolvimento e linguagens de programação. Você também pode postar perguntas em nosso fórum de discussões ou conversar com outros participantes no canal do Discord.Elevate Your AI Expertise with Microsoft Azure: Learn Live Series for Developers
Unlock the power of Azure AI and master the art of creating advanced AI agents. Starting from April 15th, embark on a comprehensive learning journey designed specifically for professional developers like you. This series will guide you through the official Microsoft Learn Plan, focused on the latest agentic AI technologies and innovations. Generative AI has evolved to become an essential tool for crafting intelligent applications, and AI agents are leading the charge. Here's your opportunity to deepen your expertise in building powerful, scalable agent-based solutions using the Azure AI Foundry, Azure AI Agent Service, and the Semantic Kernel Framework. Why Attend? This Learn Live series will provide you with: In-depth Knowledge: Understand when to use AI agents, how they function, and the best practices for building them on Azure. Hands-On Experience: Gain practical skills to develop, deploy, and extend AI agents with Azure AI Agent Service and Semantic Kernel SDK. Expert Insights: Learn directly from Microsoft’s AI professionals, ensuring you're at the cutting edge of agentic AI technologies. Session Highlights Plan and Prepare AI Solutions | April 15th Explore foundational principles for creating secure and responsible AI solutions. Prepare your development environment for seamless integration with Azure AI services. Fundamentals of AI Agents | April 22nd Discover the transformative role of language models and generative AI in enabling intelligent applications. Understand Microsoft Copilot and effective prompting techniques for agent development. Azure AI Agent Service: Build and Integrate | April 29th Dive into the key features of Azure AI Agent Service. Build agents and learn how to integrate them into your applications for enhanced functionality. Extend with Custom Tools | May 6th Enhance your agents’ capabilities with custom tools, tailored to meet unique application requirements. Develop an AI agent with Semantic Kernel | May 8th Use Semantic Kernel to connect to an Azure AI Foundry project Create Azure AI Agent Service agents using the Semantic Kernel SDK Integrate plugin functions with your AI agent Orchestrate Multi-Agent Solutions with Semantic Kernel | May 13th Utilize the Semantic Kernel SDK to create collaborative multi-agent systems. Develop and integrate custom plugin functions for versatile AI solutions. What You’ll Achieve By the end of this series, you'll: Build AI agents using cutting-edge Azure technologies. Integrate custom tools to extend agent capabilities. Develop multi-agent solutions with advanced orchestration. How to Join Don't miss out on this opportunity to level up your development skills and lead the next wave of AI-driven applications. Register now and set yourself apart as a developer equipped to harness the full potential of Azure AI. 🔗 Register for the Learn Live Series 🗓️ Format: Livestream | Language: English | Topic: Core AI Development Take the leap and transform how you develop intelligent applications with Microsoft Azure AI. Does this revision align with your vision for the blog? Let me know if there's anything else you'd like to refine or add!
Optimizing Change Data Capture (CDC) on PostgreSQL for Enhanced Data Management
Managing the ODS layer becomes crucial, especially when source systems lack physical primary keys. An Online Data Store (ODS) helps offload OLTP workloads by shifting certain queries to alternative databases. While some customers leverage secondary servers for this purpose, database replication in an active-active mode can enhance efficiency. Typically, customers attempt to use secondary servers to reduce the primary servers' workload. Database replication is an effective strategy in these cases, operating in an active-active mode to ensure operational efficiency. Microsoft Fabric offers a mirroring option on OneLake to optimize resource utilization when moving data from OLTP databases such as SQL Server. This feature allows for data replication without delay, ensuring seamless data availability. The need for such a feature in PostgreSQL environments is evident, especially for customer scenarios. For instance, customers running multiple PostgreSQL OLTP systems aim to enable their ODS and Data Warehouse (DW) on Fabric in both real-time and near real-time. This approach not only reduces workloads on PostgreSQL OLTP systems but also facilitates downstream analytics. However, it's important to note that this functionality is currently available for PostgreSQL in Private Preview only. This article explores the options we have until this option becomes generally available. Identifying Change Data Capture (CDC) on PostgreSQL WAL2JSON Utility: This method utilizes PostgreSQL's Write-Ahead Logging (WAL) to capture data changes in JSON format. It provides flexibility for custom processing and error handling but requires manual intervention for WAL file cleanup and operates in near real-time. RTI (Debezium) CDC Connector: A Fabric-integrated solution that automates data capture from PostgreSQL to Eventhouse using Eventstream. It ensures efficient data movement by storing changes in a structured payload format, including metadata such as operation type and transaction details. However, it requires PostgreSQL administrators to manage WAL slots for optimal performance. Comparison of CDC Options CDC Method Description Pros Cons RTI CDC Connector Efficiently moves data from PostgreSQL to Fabric (Eventstream/Eventhouse). Stores data in a payload format, capturing database type, operation, and changed record. Automated, integrates well with Fabric, captures full change history Requires PostgreSQL team management for WAL slot cleanup WAL2JSON Method Provides programmatic control for error tracking and WAL file cleanup. Operates in near real-time. More direct control, flexible error handling Requires manual intervention, slightly delayed processing Approaches for Data Management Truncate and Load (Direct Source Connection) Establish a direct connection to the source tables in PostgreSQL for efficient data extraction. Truncate and reload tables in the Silver layer to maintain data integrity and consistency. Implement a logging mechanism in the Landing table to ensure modifications are accurately recorded and traceable. Despite initial resistance from the Source PostgreSQL team, increasing workloads on PostgreSQL is necessary to enhance performance and meet project goals. Adding a Row ID Column in the Source Table A row ID column is essential to uniquely identify records and facilitate necessary deletions and insertions. However, the Source Systems have not approved this modification, limiting our ability to implement this approach. Using Transaction ID in PostgreSQL Transaction IDs are inconsistent across operations and may overlap with other database transactions. Due to this inconsistency, they cannot be reliably used for tracking changes. Truncate and Load Using the Landing Table Select distinct records with the latest timestamp from the Landing table and truncate/load them into the Silver layer. Implementation Strategy: Develop two separate procedures, one for tables with a primary key and another for tables without a primary key. Move non-primary key tables to primary key-based tables once key columns become available, as determined by respective table owners. Performance Consideration: Large tables may take significant time to process. Current Outcome: This approach has not yielded the expected results. Replica Identity FULL Approach for only Non Primary key tables REPLICA IDENTITY FULL is enabled for Tables with no primary in Postgre. This helps in capturing data for all columns in WAL log irrespective of if they are changed or not. Sample WAL record: Retrieve old record details from the Before Values JSON, use them for deletions, and insert the updated records into the table. When key columns are unavailable, generate a hash key for the "before values" and use it to identify and delete corresponding records in the target table. To optimize performance, an additional hash key column can be created in the target table, reducing delete operation times. Primary key tables will not use hash key columns & Non-primary key tables will incorporate hash key columns. It is assumed that the application layer will send accurate updates to prevent duplicate records. Considerations: Logging Overhead: Increased Write-Ahead Log (WAL) file generation may impact performance and storage. ETL Recommendation: The Product Team recommends an Extract, Transform, Load (ETL) approach as the preferred solution. Bronze-to-Silver Loading: Re-evaluate the strategy once the Mirroring feature becomes available, as it will be essential for this implementation. Performance Impact: Setting Replica Identity to FULL will increase WAL size and add logging overhead, potentially affecting database performance. Data Integrity: The ETL process must ensure accurate change tracking to maintain data integrity. Testing: Conduct thorough staging environment testing to assess performance implications and validate the replication process. Conclusion Adding a Row ID column (Option 2) is the recommended approach, as it allows precise identification of records. However, if modifying source tables is not feasible, using Replica Identity Full (Option 5) is a viable alternative despite its impact on performance and storage. Establishing a Standard Operating Procedure (SOP) in collaboration with the source system to identify and utilize primary keys or unique keys whenever available will significantly enhance the overall efficiency and accuracy of the process. References Debezium for PostgreSQL Documentation Mirroring Azure Database for PostgreSQL Flexible Server in Microsoft Fabric Add PostgreSQL Database CDC source to an eventstreamEssential Microsoft Resources for MVPs & the Tech Community from the AI Tour
Unlock the power of Microsoft AI with redeliverable technical presentations, hands-on workshops, and open-source curriculum from the Microsoft AI Tour! Whether you’re a Microsoft MVP, Developer, or IT Professional, these expertly crafted resources empower you to teach, train, and lead AI adoption in your community. Explore top breakout sessions covering GitHub Copilot, Azure AI, Generative AI, and security best practices—designed to simplify AI integration and accelerate digital transformation. Dive into interactive workshops that provide real-world applications of AI technologies. Take it a step further with Microsoft’s Open-Source AI Curriculum, offering beginner-friendly courses on AI, Machine Learning, Data Science, Cybersecurity, and GitHub Copilot—perfect for upskilling teams and fostering innovation. Don’t just learn—lead. Access these resources, host impactful training sessions, and drive AI adoption in your organization. Start sharing today! Explore now: Microsoft AI Tour Resources.Microsoft AI Agents Hack April 8-30th 2025
Build, Innovate, and #Hacktogether Learn from 20+ expert-led sessions streamed live on YouTube, covering top frameworks like Semantic Kernel, Autogen, the new Azure AI Agents SDK and the Microsoft 365 Agents SDK. Get hands-on experience, unleash your creativity, and build powerful AI agents—then submit your hack for a chance to win amazing prizes! Key Dates Expert sessions: April 8th 2025 – April 30th 2025 Hack submission deadline: April 30th 2025, 11:59 PM PST Don't miss out — join us and start building the future of AI! Registration Register now! That form will register you for the hackathon. Afterwards, browse through the live stream schedule below and register for the sessions you're interested in. Once you're registered, introduce yourself and look for teammates! Project Submission Once your hack is ready, follow the submission process. Prizes and Categories Projects will be evaluated by a panel of judges, including Microsoft engineers, product managers, and developer advocates. Judging criteria will include innovation, impact, technical usability, and alignment with corresponding hackathon category. Each winning team in the categories below will receive a prize. Best Overall Agent - $20,000 Best Agent in Python - $5,000 Best Agent in C# - $5,000 Best Agent in Java - $5,000 Best Agent in JavaScript/TypeScript - $5,000 Best Copilot Agent (using Microsoft Copilot Studio or Microsoft 365 Agents SDK) - $5,000 Best Azure AI Agent Service Usage - $5,000 Each team can only win in one category. All participants who submit a project will receive a digital badge. Stream Schedule The series starts with a kick-off for all developers, and then dives into specific tracks for Python, Java, C#, and JavaScript developers. The Copilots track will focus on building intelligent copilots with Microsoft 365 and Copilot Studio. English Week 1: April 8th-11th Day/Time Topic Track 4/8 09:00 AM PT AI Agents Hackathon Kickoff All 4/9 09:00 AM PT Build your code-first app with Azure AI Agent Service Python 4/9 12:00 PM PT AI Agents for Java using Azure AI Foundry Java 4/9 03:00 PM PT Build your code-first app with Azure AI Agent Service Python 4/10 04:00 AM PT Building Secure and Intelligent Copilots with Microsoft 365 Copilots 4/10 09:00 AM PT Overview of Microsoft 365 Copilot Extensibility Copilots 4/10 12:00 PM PT Transforming business processes with multi-agent AI using Semantic Kernel Python 4/10 03:00 PM PT Build your code-first app with Azure AI Agent Service (.NET) C# Week 2: April 14th-18th Day/Time Topic Track 4/15 07:00 AM PT Your first AI Agent in JS with Azure AI Agent Service JS 4/15 09:00 AM PT Building Agentic Applications with AutoGen v0.4 Python 4/15 12:00 PM PT AI Agents + .NET Aspire C# 4/15 03:00 PM PT Prototyping AI Agents with GitHub Models Python 4/16 04:00 AM PT Multi-agent AI apps with Semantic Kernel and Azure Cosmos DB C# 4/16 06:00 AM PT Building declarative agents with Microsoft Copilot Studio & Teams Toolkit Copilots 4/16 09:00 AM PT Building agents with an army of models from the Azure AI model catalog Python 4/16 12:00 PM PT Multi-Agent API with LangGraph and Azure Cosmos DB Python 4/16 03:00 PM PT Mastering Agentic RAG Python 4/17 06:00 AM PT Build your own agent with OpenAI, .NET, and Copilot Studio C# 4/17 09:00 AM PT Building smarter Python AI agents with code interpreters Python 4/17 12:00 PM PT Building Java AI Agents using LangChain4j and Dynamic Sessions Java 4/17 03:00 PM PT Agentic Voice Mode Unplugged Python Week 3: April 21st-25th Day/Time Topic Track 4/21 12:00 PM PT Knowledge-augmented agents with LlamaIndex.TS JS 4/22 06:00 AM PT Building a AI Agent with Prompty and Azure AI Foundry Python 4/22 09:00 AM PT Real-time Multi-Agent LLM solutions with SignalR, gRPC, and HTTP based on Semantic Kernel Python 4/22 10:30 AM PT Learn Live: Fundamentals of AI agents on Azure - 4/22 12:00 PM PT Demystifying Agents: Building an AI Agent from Scratch on Your Own Data using Azure SQL C# 4/22 03:00 PM PT VoiceRAG: talk to your data Python 4/14 06:00 AM PT Prompting is the New Scripting: Meet GenAIScript JS 4/23 09:00 AM PT Building Multi-Agent Apps on top of Azure PostgreSQL Python 4/23 12:00 PM PT Agentic RAG with reflection Python 4/23 03:00 PM PT Multi-source data patterns for modern RAG apps C# 4/24 09:00 AM PT Extending AI Agents with Azure Functions Python, C# 4/24 12:00 PM PT Build real time voice agents with Azure Communication Services Python 4/24 03:00 PM PT Bringing robots to life: Real-time interactive experiences with Azure OpenAI GPT-4o Python Week 4: April 28th-30th Day/Time Topic Track 4/29, 01:00 PM UTC / 06:00 AM PT Irresponsible AI Agents Java 4/29, 04:00 PM UTC / 09:00 AM PT Securing AI agents on Azure Python Spanish / Español See all our Spanish sessions on the Spanish landing page. Consulta todas nuestras sesiones en español en la página de inicio en español. Portuguese / Português See our Portuguese sessions on the Portuguese landing page. Veja nossas sessões em português na página de entrada em português. Chinese / 简体字 See our Chinese sessions on the Chinese landing page. 请查看我们的中文课程在中文登录页面. Office Hours For additional help with your hacks, you can drop by Office Hours in our AI Discord channel. Here are the Office Hours scheduled so far: Day/Time Topic/Hosts Every Thursday, 12:30 PM PT Python + AI (English) Every Monday, 03:00 PM PT Python + AI (Spanish) Learning Resources Access resources here! Join TheSource EHub to explore top picks including trainings, livestreams, repositories, technical guides, blogs, downloads, certifications, and more, all updated monthly. The AI Agent section offers essential resources for creating AI Agents, while other sections provide insights into AI, development tools, and programming languages. You can also post questions in our discussions forum, or chat with attendees in the Discord channel.Join the ONNX Generative AI Runtime teams for a discussion on the newest releases
Join Us for an Exclusive Round Table Discussion on the ONNX Generative AI Runtime! Date: 24th March 2025 Time: 8.30am PT Location: Microsoft AI Discord Community What is an AMA? An "Ask Me Anything" (AMA) is an informal discussion where the floor is opened to the general public to ask the host or a guest anything they want to know. It's a great opportunity to interact directly with experts and get your questions answered in real-time. Don't miss this opportunity to connect with our experts and enhance your understanding of ONNX. Mark your calendars and prepare your questions for an engaging and informative session! Join the Phi AMA session! How to join: Join the Azure AI Community Discord Unlock the Future of AI with ONNX Runtime Discover the ONNX Generative AI runtime and explore the limitless possibilities of generative AI. Whether you're an AI enthusiast, developer, or industry expert, this round table is your chance to dive deep into the innovative world of ONNX Runtime. Event Highlights: In-depth overview of the ONNX Generative AI Runtime Interactive session with step-by-step coding examples User experiences and success stories Why Attend? Gain expert insights into the ONNX Generative AI Runtime Network with like-minded professionals Enhance your AI skills with practical sessions Stay ahead of the curve with cutting-edge technology Speakers and Panelists: Kunal Vaishnavi Software engineer in the AI Platform team at Microsoft focusing on optimizing the latest state-of-the-art models. He is a co-founder of ONNX Runtime GenAI and invented the model builder. Baiju Meswani Designer of the pipelined model runtime, and the multi modal model API and general continuous integration and package publishing guru Ryan Hill Software Engineer, Initial creator of the ONNX Generative AI project and its core architecture and APIs. Natalie Kershaw Program Manager of the ONNX Generative AI Runtime and general wranglerMeasure and Mitigate Risks for a generative AI app in Azure AI Foundry
Join Microsoft Reactor on March 4th at 9 AM PST (6 PM CET) for an exclusive session on responsible AI strategies in Azure AI Foundry. Learn how to identify and mitigate AI risks using tools like Azure AI Content Safety and built-in safety monitoring. Engage in a live Q&A on Discord (March 5th) and participate in the Microsoft Learn Challenge (until March 11th). Led by April Speight, Principal Cloud Advocate at Microsoft, this session is essential for developers building trustworthy AI applications.Get certified as an Azure AI Engineer (AI-102) this summer?
For developers, the accreditation as an Azure AI Engineer—certified through the rigorous AI-102 exam—has become a golden ticket to career acceleration. It isn’t just about coding chatbots or fine-tuning machine learning models; it’s about gaining the confidence (for you and for your business) that you can wield Azure’s toolkits to configure AI solutions that augment human capability. Before we dive in, if you’re planning to become certified as an Azure AI Engineer, you may find this Starter Learning Plan (AI 102) valuable—recently curated by a group of Microsoft experts, purposed for your success. We recommend adding it to your existing learning portfolio. It’s a light introduction that should take less than four hours, but it offers a solid glimpse into what to expect on your journey and the breadth of solutions you might craft in the future. From revolutionizing customer service with intelligent agents to optimizing supply chains through predictive analytics, Azure AI engineers sit at the confluence of technological ingenuity and business transformation. For those with an appetite for problem-solving and a vision for AI-driven futures, this certification isn’t just another badge—it’s an assertion of expertise in a field where demand is outpacing supply. Securing that expertise, however, requires more than just a weekend of cramming. Today’s aspiring AI engineers navigate an ecosystem of learning that is as modern as the field itself. Gone are the days when one could rely solely on a stack of manuals; now, candidates immerse themselves in a medley of Microsoft Learn modules, hands-on labs, AI-powered coding assistants, and community-led study groups. Many take a pragmatic approach—building real-world projects using Azure Cognitive Services and Machine Learning Studio to cement their understanding. Others lean on practice exams and structured courses from platforms like Pluralsight and Udemy, ensuring they aren’t just memorizing but internalizing the core principles. The AI-102 exam doesn’t reward rote knowledge—it demands fluency in designing, deploying, and securing AI solutions, making thorough preparation an indispensable part of the journey. In addition to the above learning plan, we want to provide a few other tips. Understand the Exam Objectives: Begin by thoroughly reviewing the AI-102 study guide. This document outlines the key topics and skills assessed, including planning and managing Azure AI solutions, implementing computer vision and natural language processing solutions, and deploying generative AI solutions. Familiarizing yourself with these areas will provide a structured framework for your study plan. Continuous memorization is part of your study. But if you get a bit bored from your flashcards and look for more ‘storyline’ style learning content, we recommend adding MSFT employee created learning plan to your mix. They are scenario-based and focus more on providing you with a structured understanding of how to do XYZ on Azure. Here are 3 examples: Modernize for AI Readiness Build AI apps with Azure Re-platform AI applications Hands-On Practice: Practical experience is invaluable. Engage with Azure AI services directly by building projects that incorporate computer vision, natural language processing, and other AI functionalities. This hands-on approach not only reinforces theoretical knowledge but also enhances problem-solving skills in real-world scenarios. Utilize Practice Assessments: Assess your readiness by taking advantage of free practice assessments provided by Microsoft. These assessments mirror the style and difficulty of actual exam questions, offering detailed feedback and links to additional resources for areas that may require further study. Stay Updated on Exam Changes: Certification exams are periodically updated to reflect the latest technologies and practices. Regularly consult the official exam page to stay informed about any changes in exam content or structure. Participate in Community Discussions: Engaging with peers through forums and study groups can provide diverse perspectives and insights. The Microsoft Q&A platform is a valuable resource for asking questions, sharing knowledge, and learning from the experiences of others preparing for the same certification. By systematically incorporating these strategies into your preparation, you'll be well-positioned to excel in the AI-102 exam and advance your career as an Azure AI Engineer. If you have additional tips or thoughts, let us know in the comments area. Good luck!Unlocking the Power of Azure Container Apps in 1 Minute Video
Azure Container Apps provides a seamless way to build, deploy, and scale cloud-native applications without the complexity of managing infrastructure. Whether you’re developing microservices, APIs, or AI-powered applications, this fully managed service enables you to focus on writing code while Azure handles scalability, networking, and deployments. In this blog post, we explore five essential aspects of Azure Container Apps—each highlighted in a one-minute video. From intelligent applications and secure networking to effortless deployments and rollbacks, these insights will help you maximize the capabilities of serverless containers on Azure. Azure Container Apps - in 1 Minute Azure Container Apps is a fully managed platform designed for cloud-native applications, providing effortless deployment and scaling. It eliminates infrastructure complexity, letting developers focus on writing code while Azure automatically handles scaling based on demand. Whether running APIs, event-driven applications, or microservices, Azure Container Apps ensures high performance and flexibility with minimal operational overhead. Watch the video on YouTube Intelligent Apps with Azure Container Apps – in 1 Minute Azure Container Apps, Azure OpenAI, and Azure AI Search make it possible to build intelligent applications with Retrieval-Augmented Generation (RAG). Your app can call Azure OpenAI in real-time to generate and interpret data, while Azure AI Search retrieves relevant information, enhancing responses with up-to-date context. For advanced scenarios, AI models can execute live code via Azure Container Apps, and GPU-powered instances support fine-tuning and inferencing at scale. This seamless integration enables AI-driven applications to deliver dynamic, context-aware functionality with ease. Watch the video on YouTube Networking for Azure Container Apps: VNETs, Security Simplified – in 1 Minute Azure Container Apps provides built-in networking features, including support for Virtual Networks (VNETs) to control service-to-service communication. Secure internal traffic while exposing public endpoints with custom domain names and free certificates. Fine-tuned ingress and egress controls ensure that only the right traffic gets through, maintaining a balance between security and accessibility. Service discovery is automatic, making inter-app communication seamless within your Azure Container Apps environment. Watch the video on YouTube Azure Continuous Deployment and Observability with Azure Container Apps - in 1 Minute Azure Container Apps simplifies continuous deployment with built-in integrations for GitHub Actions and Azure DevOps pipelines. Every code change triggers a revision, ensuring smooth rollouts with zero downtime. Observability is fully integrated via Azure Monitor, Log Streaming, and the Container Console, allowing you to track performance, debug live issues, and maintain real-time visibility into your app’s health—all without interrupting operations. Watch the video on YouTube Effortless Rollbacks and Deployments with Azure Container Apps – in 1 Minute With Azure Container Apps, every deployment creates a new revision, allowing multiple versions to run simultaneously. This enables safe, real-time testing of updates without disrupting production. Rolling back is instant—just select a previous revision and restore your app effortlessly. This powerful revision control system ensures that deployments remain flexible, reliable, and low-risk. Watch the video on YouTube Watch the Full Playlist For a complete overview of Azure Container Apps capabilities, watch the full JavaScript on Azure Container Apps YouTube Playlist Create Your Own AI-Powered Video Content Inspired by these short-form technical videos? You can create your own AI-generated videos using Azure AI to automate scriptwriting and voiceovers. Whether you’re a content creator, or business looking to showcase technical concepts, Azure AI makes it easy to generate professional-looking explainer content. Learn how to create engaging short videos with Azure AI by following our open-source AI Video Playbook. Conclusion Azure Container Apps is designed to simplify modern application development by providing a fully managed, serverless container environment. Whether you need to scale microservices, integrate AI capabilities, enhance security with VNETs, or streamline CI/CD workflows, Azure Container Apps offers a comprehensive solution. By leveraging its built-in features such as automatic scaling, revision-based rollbacks, and deep observability, developers can deploy and manage applications with confidence. These one-minute videos provide a quick technical overview of how Azure Container Apps empowers you to build scalable, resilient applications with ease. FREE Content Check out our other FREE content to learn more about Azure services and Generative AI: Generative AI for Beginners - A JavaScript Adventure! Learn more about Azure AI Agent Service LlamaIndex on Azure JavaScript on Azure Container Apps JavaScript at Microsoft
