"Build a Twitter Bot in 5 Minutes Without Any Code - Complete Guide"
Are you interested in building your own Twitter bot, but intimidated by the thought of writing code in a programming language like Python or JavaScript? Don't worry, you can create your own bot without any coding experience using Azure Logic Apps! Azure Logic Apps is a cloud platform that allows you to create and run automated workflows with minimal coding required. It is fully managed by Microsoft Azure, meaning you don't have to worry about hosting, scaling, or maintaining your solution. Plus, it offers hundreds of pre-built connectors to easily connect and integrate apps, data, services, and systems. In this guide, we'll show you how to build a Twitter bot using Azure Logic Apps in just 5 minutes. All you need is an Azure for Students subscription, which you can obtain with a student email address or the GitHub Student Developer Pack. Follow our step-by-step instructions and you'll have your own automated Twitter bot up and running in no time! Don't let coding barriers hold you back from building your own Twitter bot. Try Azure Logic Apps today and start automating your Twitter experience."POSTPONED: AMA: Azure AI Agent Service
POSTPONED: Please note this event has been postponed, but we do not have a new date or time in place yet. We will update this event when we do. Sorry about that! We will also be turning off the ability to comment, but will change that back once we have a new date and time. --- Join us for an AMA session on Azure AI Agent Service! This AMA is ideal for developers, technical and business decision makers looking to explore how Azure AI Agent Service can transform their operations. Azure AI Agent Service enables developers to create, deploy, and monitor autonomous AI agents that automate complex business processes while keeping humans at the center. With a rich ecosystem of the latest models, knowledge sources like Microsoft Bing and SharePoint, and over 1,400 action connectors with Azure Logic Apps, this flexible and use-case agnostic service can unlock new possibilities. Learn more: https://aka.ms/AzureAI_agents_blog Get your questions answered by our Subject Matter Experts and learn how to leverage this powerful service for your organization. An AMA is a live text-based online event similar to an “Ask Me Anything” on Reddit. This AMA gives you the opportunity to connect with Microsoft product experts who will be on hand to answer your questions and listen to feedback. The AMA takes place entirely in the comments below. There is no additional video or audio link as this is text-based. Feel free to post your questions anytime in the comments below beforehand, if it fits your schedule or time zone better, though questions will not be answered until the live hour.
How much can you save by using SSV2?
Overview The SSV2 feature starts or stops Azure Virtual Machines instances across multiple subscriptions. It starts or stops virtual machines on user-defined schedules, provides insights through Azure Application Insights, and sends optional notifications by using action groups. Azure offers an ARM template for deployment. So, you can easily deploy SSV2 using GitHub. For more detail, please see the SSV2 docs. Purpose of SSV2 The main purpose of using SSV2 is to save costs. By using Scheduled SSV2, we can turn on the VM only during business hours (ex. 9AM-6PM) and shut it down the rest of the time. Also, we can set the VM to automatically shut down when not in use by the Auto Stop function. In this post, I focus on how much we can save VM resource costs using SSV2. SSV2 scenario In this test, I use only scheduled function. : turn VM on at 9:00 : turn VM off at 18:00 SSV2 pricing SSV2 uses various resources such as the Logic app, function app, Monitor, and Storage. Nevertheless, the monthly cost of SSV2 is not high. For checking the monthly price, I set scheduled and auto-stop scenarios. My VMs turn on at 9AM and turn off at 6PM every day. Also, VMs turn off when VM CPU usage is under 5%. I checked the monthly price with this scenario. I tested for 2 months and monthly costs are under $5. Below is the cost detail. As you can see Logic app is the most expensive resource and storage, monitor is next. Everyone's cost will be different because logic app settings, storage size, and function execution counts will be different case by case. However, I want to show the average SSV2 cost. VM pricing comparison There are many kinds of VM skus. Currently, the cheapest VM is B1s and the price is $0.014/hour. In this sku, we can save $1.3. Running Time (30days) VM(B1s) SSV2 resources Total 24hrs $10.08 $10.08 9AM-6PM (9hrs) VM + SSV2 $3.78 $5 $8.78 The higher the VM sku, the more you can save. If I use D3 VM, then I can save more. Running Time (30days) VM(D3) SSV2 resources Total 24hrs $403.2 $403.2 9AM-6PM (9hrs) VM + SSV2 $151.2 $5 $156.2 Conclusion Everyone can easily use SSV2 function for VM cost deduction. In my test, SSV2 monthly cost is around $5, but the monthly VM saving cost is more than $5. SSV2 is a good solution if you want to control VM on/off with VM usage time and usage.Reimagining App Modernization for the Era of AI
This blog highlights the key announcements and innovations from Microsoft Build 2025. It focuses on how AI is transforming the software development lifecycle, particularly in app modernization. Key topics include the use of GitHub Copilot for accelerating development and modernization, the introduction of Azure SRE agent for managing production systems, and the launch of the App Modernization Guidance to help organizations modernize their applications with AI-first design. The blog emphasizes the strategic approach to modernization, aiming to reduce complexity, improve agility, and deliver measurable business outcomesDiagnose Web App Issues Instantly—Just Drop a Screenshot into Conversational Diagnostics
It’s that time of year again—Microsoft Build 2025 is here! And in the spirit of pushing boundaries with AI, we’re thrilled to introduce a powerful new preview feature in Conversational Diagnostics. 📸 Diagnose with a Screenshot No more struggling to describe a tricky issue or typing out long explanations. With this new capability, you can simply paste, upload, or drag a screenshot into the chat. Conversational Diagnostics will analyze the image, identify the context, and surface relevant diagnostics for your selected Azure Resource—all in seconds. Whether you're debugging a web app or triaging a customer issue, this feature helps you move from problem to insight faster than ever. Thank you!Building the Agentic Future
As a business built by developers, for developers, Microsoft has spent decades making it faster, easier and more exciting to create great software. And developers everywhere have turned everything from BASIC and the .NET Framework, to Azure, VS Code, GitHub and more into the digital world we all live in today. But nothing compares to what’s on the horizon as agentic AI redefines both how we build and the apps we’re building. In fact, the promise of agentic AI is so strong that market forecasts predict we’re on track to reach 1.3 billion AI Agents by 2028. Our own data, from 1,500 organizations around the world, shows agent capabilities have jumped as a driver for AI applications from near last to a top three priority when comparing deployments earlier this year to applications being defined today. Of those organizations building AI agents, 41% chose Microsoft to build and run their solutions, significantly more than any other vendor. But within software development the opportunity is even greater, with approximately 50% of businesses intending to incorporate agentic AI into software engineering this year alone. Developers face a fascinating yet challenging world of complex agent workflows, a constant pipeline of new models, new security and governance requirements, and the continued pressure to deliver value from AI, fast, all while contending with decades of legacy applications and technical debt. This week at Microsoft Build, you can see how we’re making this future a reality with new AI-native developer practices and experiences, by extending the value of AI across the entire software lifecycle, and by bringing critical AI, data, and toolchain services directly to the hands of developers, in the most popular developer tools in the world. Agentic DevOps AI has already transformed the way we code, with 15 million developers using GitHub Copilot today to build faster. But coding is only a fraction of the developer’s time. Extending agents across the entire software lifecycle, means developers can move faster from idea to production, boost code quality, and strengthen security, while removing the burden of low value, routine, time consuming tasks. We can even address decades of technical debt and keep apps running smoothly in production. This is the foundation of agentic DevOps—the next evolution of DevOps, reimagined for a world where intelligent agents collaborate with developer teams and with each other. Agents introduced today across GitHub Copilot and Azure operate like a member of your development team, automating and optimizing every stage of the software lifecycle, from performing code reviews, and writing tests to fixing defects and building entire specs. Copilot can even collaborate with other agents to complete complex tasks like resolving production issues. Developers stay at the center of innovation, orchestrating agents for the mundane while focusing their energy on the work that matters most. Customers like EY are already seeing the impact: “The coding agent in GitHub Copilot is opening up doors for each developer to have their own team, all working in parallel to amplify their work. Now we're able to assign tasks that would typically detract from deeper, more complex work, freeing up several hours for focus time." - James Zabinski, DevEx Lead at EY You can learn more about agentic DevOps and the new capabilities announced today from Amanda Silver, Corporate Vice President of Product, Microsoft Developer Division, and Mario Rodriguez, Chief Product Office at GitHub. And be sure to read more from GitHub CEO Thomas Dohmke about the latest with GitHub Copilot. At Microsoft Build, see agentic DevOps in action in the following sessions, available both in-person May 19 - 22 in Seattle and on-demand: BRK100: Reimagining Software Development and DevOps with Agentic AI BRK 113: The Agent Awakens: Collaborative Development with GitHub Copilot BRK118: Accelerate Azure Development with GitHub Copilot, VS Code & AI BRK131: Java App Modernization Simplified with AI BRK102: Agent Mode in Action: AI Coding with Vibe and Spec-Driven Flows BRK101: The Future of .NET App Modernization Streamlined with AI New AI Toolchain Integrations Beyond these new agentic capabilities, we’re also releasing new integrations that bring key services directly to the tools developers are already using. From the 150 million GitHub users to the 50 million monthly users of the VS Code family, we’re making it easier for developers everywhere to build AI apps. If GitHub Copilot changed how we write code, Azure AI Foundry is changing what we can build. And the combination of the two is incredibly powerful. Now we’re bringing leading models from Azure AI Foundry directly into your GitHub experience and workflow, with a new native integration. GitHub models lets you experiment with leading models from OpenAI, Meta, Cohere, Microsoft, Mistral and more. Test and compare performance while building models directly into your codebase all within in GitHub. You can easily select the best model performance and price side by side and swap models with a simple, unified API. And keeping with our enterprise commitment, teams can set guardrails so model selection is secure, responsible, and in line with your team’s policies. Meanwhile, new Azure Native Integrations gives developers seamless access to a curated set of 20 software services from DataDog, New Relic, Pinecone, Pure Storage Cloud and more, directly through Azure portal, SDK, and CLI. With Azure Native Integrations, developers get the flexibility to work with their preferred vendors across the AI toolchain with simplified single sign-on and management, while staying in Azure. Today, we are pleased to announce the addition of even more developer services: Arize AI: Arize’s platform provides essential tooling for AI and agent evaluation, experimentation, and observability at scale. With Arize, developers can easily optimize AI applications through tools for tracing, prompt engineering, dataset curation, and automated evaluations. Learn more. LambdaTest HyperExecute: LambdaTest HyperExecute is an AI-native test execution platform designed to accelerate software testing. It enables developers and testers to run tests up to 70% faster than traditional cloud grids by optimizing test orchestration, observability and streamlining TestOps to expedite release cycles. Learn more. Mistral: Mistral and Microsoft announced a partnership today, which includes integrating Mistral La Plateforme as part of Azure Native Integrations. Mistral La Plateforme provides pay-as-you-go API access to Mistral AI's latest large language models for text generation, embeddings, and function calling. Developers can use this AI platform to build AI-powered applications with retrieval-augmented generation (RAG), fine-tune models for domain-specific tasks, and integrate AI agents into enterprise workflows. MongoDB (Public Preview): MongoDB Atlas is a fully managed cloud database that provides scalability, security, and multi-cloud support for modern applications. Developers can use it to store and search vector embeddings, implement retrieval-augmented generation (RAG), and build AI-powered search and recommendation systems. Learn more. Neon: Neon Serverless Postgres is a fully managed, autoscaling PostgreSQL database designed for instant provisioning, cost efficiency, and AI-native workloads. Developers can use it to rapidly spin up databases for AI agents, store vector embeddings with pgvector, and scale AI applications seamlessly. Learn more. Java and .Net App Modernization Shipping to production isn’t the finish line—and maintaining legacy code shouldn’t slow you down. Today we’re announcing comprehensive resources to help you successfully plan and execute app modernization initiatives, along with new agents in GitHub Copilot to help you modernize at scale, in a fraction of the time. In fact, customers like Ford China are seeing breakthrough results, reducing up to 70% of their Java migration efforts by using GitHub Copilot to automate middleware code migration tasks. Microsoft’s App Modernization Guidance applies decades of enterprise apps experience to help you analyze production apps and prioritize modernization efforts, while applying best practices and technical patterns to ensure success. And now GitHub Copilot transforms the modernization process, handling code assessments, dependency updates, and remediation across your production Java and .NET apps (support for mainframe environments is coming soon!). It generates and executes update plans automatically, while giving you full visibility, control, and a clear summary of changes. You can even raise modernization tasks in GitHub Issues from our proven service Azure Migrate to assign to developer teams. Your apps are more secure, maintainable, and cost-efficient, faster than ever. Learn how we’re reimagining app modernization for the era of AI with the new App Modernization Guidance and the modernization agent in GitHub Copilot to help you modernize your complete app estate. Scaling AI Apps and Agents Sophisticated apps and agents need an equally powerful runtime. And today we’re advancing our complete portfolio, from serverless with Azure Functions and Azure Container Apps, to the control and scale of Azure Kubernetes Service. At Build we’re simplifying how you deploy, test, and operate open-source and custom models on Kubernetes through Kubernetes AI Toolchain Operator (KAITO), making it easy to inference AI models with the flexibility, auto-scaling, pay-per-second pricing, and governance of Azure Container Apps serverless GPU, helping you create real-time, event-driven workflows for AI agents by integrating Azure Functions with Azure AI Foundry Agent Service, and much, much more. The platform you choose to scale your apps has never been more important. With new integrations with Azure AI Foundry, advanced automation that reduces developer overhead, and simplified operations, security and governance, Azure’s app platform can help you deliver the sophisticated, secure AI apps your business demands. To see the full slate of innovations across the app platform, check out: Powering the Next Generation of AI Apps and Agents on the Azure Application Platform Tools that keep pace with how you need to build This week we’re also introducing new enhancements to our tooling to help you build as fast as possible and explore what’s next with AI, all directly from your editor. GitHub Copilot for Azure brings Azure-specific tools into agent mode in VS Code, keeping you in the flow as you create, manage, and troubleshoot cloud apps. Meanwhile the Azure Tools for VS Code extension pack brings everything you need to build apps on Azure using GitHub Copilot to VS Code, making it easy to discover and interact with cloud services that power your applications. Microsoft’s gallery of AI App Templates continues to expand, helping you rapidly move from concept to production app, deployed on Azure. Each template includes fully working applications, complete with app code, AI features, infrastructure as code (IaC), configurable CI/CD pipelines with GitHub Actions, along with an application architecture, ready to deploy to Azure. These templates reflect the most common patterns and use cases we see across our AI customers, from getting started with AI agents to building GenAI chat experiences with your enterprise data and helping you learn how to use best practices such as keyless authentication. Learn more by reading the latest on Build Apps and Agents with Visual Studio Code and Azure Building the agentic future The emergence of agentic DevOps, the new wave of development powered by GitHub Copilot and new services launching across Microsoft Build will be transformative. But just as we’ve seen over the first 50 years of Microsoft’s history, the real impact will come from the global community of developers. You all have the power to turn these tools and platforms into advanced AI apps and agents that make every business move faster, operate more intelligently and innovate in ways that were previously impossible. Learn more and get started with GitHub CopilotDeploying Logic Apps Standard with Managed Identity and private networking
I was working with a customer who needed to implement some automation tasks to support their application. The automation tasks would be driven on data in their Azure SQL database. As most of their developers were busy tackling their backlog, I thought "What if we could use Logic Apps to do a no code solution with their operations team?" The first step was of course to deploy the Logic App. As the customer is running fully private networking for all services (Azure SQL, Storage, etc.), we would deploy Logic Apps Standard, which runs on the Azure App Service runtime similar to Function Apps. Like a Function App, the Logic App uses a storage account in the background. However, when deploying through the portal, the deployment failed with a 403 Unauthorized error. Of course! The customer had disabled shared key access to storage accounts, utilizing Entra ID exclusively. Like our post about setting up an Azure Container Instance to use Managed Identity to connect to an Azure Container Registry, we'd have to write a bit of Bicep script to utilize a User Assigned Managed Identity which has rights to Azure Storage and SQL. I created the User Assigned Managed Identity and granted it the following roles on the storage account: Storage Account Contributor Storage Blob Data Contributor Storage Queue Data Contributor Storage Table Data Contributor While that solved the access issue and allowed the deployment to complete, the Logic App was showing a runtime error in the portal, stating that it was "Unable to load the proper Managed Identity." As it turns out, we need to explicitly tell the Logic App in the App Service configuration that we are using Managed Identity as our authentication mechanism, and which Managed Identity we want to use. Once I added that to the configuration, my Managed Identity error went away, but I was still getting a runtime error. Looking in the log stream, I could see that I was getting many errors trying to talk to the storage account queue and table endpoints. Because the client is using all private networking, we needed to setup a private endpoint and associated private DNS entry for all three storage account endpoints: blob, queue and table. Once I added those private endpoints and added them to my App Service configuration, my Logic App deployed and ran successfully. I've added the Bicep code for the Logic App service here. One final "Gotcha": if you look in my Bicep, you will note that I am specifying both the User Assigned Managed Identity as well as a System Assigned Managed Identity. The reason for this is, when using a SQL connector, Managed Identity was not listed as an option for authentication. I was stumped by this at first, but then I noticed that it was an option in a portal deployed Logic App. The difference was that the portal deployment adds a System Assigned Managed Identity. Once I added this to my Bicep, the Managed Identity option showed up on the SQL connector. It appears that the connector is looking for the presence of a System Assigned Managed Identity to toggle that authentication option, but you can still use your User Assinged Managed Identity for SQL authentication.Unlock New AI and Cloud Potential with .NET 9 & Azure: Faster, Smarter, and Built for the Future
.NET 9, now available to developers, marks a significant milestone in the evolution of the .NET platform, pushing the boundaries of performance, cloud-native development, and AI integration. This release, shaped by contributions from over 9,000 community members worldwide, introduces thousands of improvements that set the stage for the future of application development. With seamless integration with Azure and a focus on cloud-native development and AI capabilities, .NET 9 empowers developers to build scalable, intelligent applications with unprecedented ease. Expanding Azure PaaS Support for .NET 9 With the release of .NET 9, a comprehensive range of Azure Platform as a Service (PaaS) offerings now fully support the platform’s new capabilities, including the latest .NET SDK for any Azure developer. This extensive support allows developers to build, deploy, and scale .NET 9 applications with optimal performance and adaptability on Azure. Additionally, developers can access a wealth of architecture references and sample solutions to guide them in creating high-performance .NET 9 applications on Azure’s powerful cloud services: Azure App Service: Run, manage, and scale .NET 9 web applications efficiently. Check out this blog to learn more about what's new in Azure App Service. Azure Functions: Leverage serverless computing to build event-driven .NET 9 applications with improved runtime capabilities. Azure Container Apps: Deploy microservices and containerized .NET 9 workloads with integrated observability. Azure Kubernetes Service (AKS): Run .NET 9 applications in a managed Kubernetes environment with expanded ARM64 support. Azure AI Services and Azure OpenAI Services: Integrate advanced AI and OpenAI capabilities directly into your .NET 9 applications. Azure API Management, Azure Logic Apps, Azure Cognitive Services, and Azure SignalR Service: Ensure seamless integration and scaling for .NET 9 solutions. These services provide developers with a robust platform to build high-performance, scalable, and cloud-native applications while leveraging Azure’s optimized environment for .NET. Streamlined Cloud-Native Development with .NET Aspire .NET Aspire is a game-changer for cloud-native applications, enabling developers to build distributed, production-ready solutions efficiently. Available in preview with .NET 9, Aspire streamlines app development, with cloud efficiency and observability at its core. The latest updates in Aspire include secure defaults, Azure Functions support, and enhanced container management. Key capabilities include: Optimized Azure Integrations: Aspire works seamlessly with Azure, enabling fast deployments, automated scaling, and consistent management of cloud-native applications. Easier Deployments to Azure Container Apps: Designed for containerized environments, .NET Aspire integrates with Azure Container Apps (ACA) to simplify the deployment process. Using the Azure Developer CLI (azd), developers can quickly provision and deploy .NET Aspire projects to ACA, with built-in support for Redis caching, application logging, and scalability. Built-In Observability: A real-time dashboard provides insights into logs, distributed traces, and metrics, enabling local and production monitoring with Azure Monitor. With these capabilities, .NET Aspire allows developers to deploy microservices and containerized applications effortlessly on ACA, streamlining the path from development to production in a fully managed, serverless environment. Integrating AI into .NET: A Seamless Experience In our ongoing effort to empower developers, we’ve made integrating AI into .NET applications simpler than ever. Our strategic partnerships, including collaborations with OpenAI, LlamaIndex, and Qdrant, have enriched the AI ecosystem and strengthened .NET’s capabilities. This year alone, usage of Azure OpenAI services has surged to nearly a billion API calls per month, illustrating the growing impact of AI-powered .NET applications. Real-World AI Solutions with .NET: .NET has been pivotal in driving AI innovations. From internal teams like Microsoft Copilot creating AI experiences with .NET Aspire to tools like GitHub Copilot, developed with .NET to enhance productivity in Visual Studio and VS Code, the platform showcases AI at its best. KPMG Clara is a prime example, developed to enhance audit quality and efficiency for 95,000 auditors worldwide. By leveraging .NET and scaling securely on Azure, KPMG implemented robust AI features aligned with strict industry standards, underscoring .NET and Azure as the backbone for high-performing, scalable AI solutions. Performance Enhancements in .NET 9: Raising the Bar for Azure Workloads .NET 9 introduces substantial performance upgrades with over 7,500 merged pull requests focused on speed and efficiency, ensuring .NET 9 applications run optimally on Azure. These improvements contribute to reduced cloud costs and provide a high-performance experience across Windows, Linux, and macOS. To see how significant these performance gains can be for cloud services, take a look at what past .NET upgrades achieved for Microsoft’s high-scale internal services: Bing achieved a major reduction in startup times, enhanced efficiency, and decreased latency across its high-performance search workflows. Microsoft Teams improved efficiency by 50%, reduced latency by 30–45%, and achieved up to 100% gains in CPU utilization for key services, resulting in faster user interactions. Microsoft Copilot and other AI-powered applications benefited from optimized runtime performance, enabling scalable, high-quality experiences for users. Upgrading to the latest .NET version offers similar benefits for cloud apps, optimizing both performance and cost-efficiency. For more information on updating your applications, check out the .NET Upgrade Assistant. For additional details on ASP.NET Core, .NET MAUI, NuGet, and more enhancements across the .NET platform, check out the full Announcing .NET 9 blog post. Conclusion: Your Path to the Future with .NET 9 and Azure .NET 9 isn’t just an upgrade—it’s a leap forward, combining cutting-edge AI integration, cloud-native development, and unparalleled performance. Paired with Azure’s scalability, these advancements provide a trusted, high-performance foundation for modern applications. Get started by downloading .NET 9 and exploring its features. Leverage .NET Aspire for streamlined cloud-native development, deploy scalable apps with Azure, and embrace new productivity enhancements to build for the future. For additional insights on ASP.NET, .NET MAUI, NuGet, and more, check out the full Announcing .NET 9 blog post. Explore the future of cloud-native and AI development with .NET 9 and Azure—your toolkit for creating the next generation of intelligent applications.
