🎉Ignite NYC: Join the Microsoft Ignite 2026 Watch Party in Times Square!
Get ready, New York! The Microsoft Ignite 2025 Watch Party is coming to the heart of Times Square — and you’re invited to be part of the energy, insights, and innovation. Whether you're a seasoned tech leader, a cloud enthusiast, or just Ignite-curious, this two-day experience is your chance to connect with the local Microsoft customer community, attend live sessions by MVPs and local experts. Watch the live streamed Ignite keynote while engaging in real-time conversations with peers and experts. To attend please register here. 🎤 What to Expect Live Keynote Viewing: Watch Microsoft leaders unveil the latest in AI, cloud, and security. Community Conversations: Join breakout discussions with local customers and Microsoft experts. Exclusive Panels & Lightning Talks: Hear from industry voices and community MVPs. Food & Snacks Included: Because no community event is complete without them. 🌟 Featured Speakers & Sessions Explore a variety of exciting topics, including… Generating Pages in Power Apps Lights, Camera, Akka! The Actor Model & Agentic AI Orchestra How to create Moonshot solutions with AI Transforming Facility, Network and Organization Management with Visio and Power BI Building Agents in AI Foundry! What's new with Azure Load Balancer, NAT Gateway, and Public IP Addresses .NET Apps Everywhere! Accelerating Web Application Development with AI-Powered Tools: From Design to Deployment How (and why) Microsoft's upstream teams engage with multi-stakeholder open-source projects Leveling Up Agents: Copilot Studio for Enterprise Studios RAG Hero: Fast-Track Vector Search in .NET Building Resilient Systems Agentic Orchestration: Building Scalable, Open-Source Automation with A2A, MCP and RAG Patterns 🤝 Sponsors & Partners We’re proud to be supported by a fantastic group of sponsors who help make this event possible. 🔗 RSVP & Stay Connected Spots are limited, must register by November 3 rd , 2025 — don’t miss out! 👉 To attend please register here. Exact location provided upon registration acceptance.Step-by-Step Guide: Integrating Microsoft Purview with Azure Databricks and Microsoft Fabric
Co-Authored By: aryananmol​, laurenkirkwood​ and mmanley​ This article provides practical guidance on setup, cost considerations, and integration steps for Azure Databricks and Microsoft Fabric to help organizations plan for building a strong data governance framework. It outlines how Microsoft Purview can unify governance efforts across cloud platforms, enabling consistent policy enforcement, metadata management, and lineage tracking. The content is tailored for architects and data leaders seeking to execute governance in scalable, hybrid environments. Note: this article focuses mainly on Data Governance features for Microsoft Purview. Why Microsoft Purview Microsoft Purview enables organizations to discover, catalog, and manage data across environments with clarity and control. Automated scanning and classification build a unified view of your data estate enriched with metadata, lineage, and sensitivity labels, and the Unified Catalog gives business-friendly search and governance constructs like domains, data products, glossary terms, and data quality. Note: Microsoft Purview Unified Catalog is being rolled out globally, with availability across multiple Microsoft Entra tenant regions; this page lists supported regions, availability dates, and deployment plans for the Unified Catalog service: Unified Catalog Supported Regions. Understanding Data Governance Features Cost in Purview Under the classic model: Data Map (Classic), users pay for an “always-on” Data Map capacity and scanning compute. In the new model, those infrastructure costs are subsumed into the consumption meters – meaning there are no direct charges for metadata storage or scanning jobs when using the Unified Catalog (Enterprise tier). Essentially, Microsoft stopped billing separately for the underlying data map and scan vCore-hours once you opt into the new model or start fresh with it. You only incur charges when you govern assets or run data processing tasks. This makes costs more predictable and tied to governance value: you can scan as much as needed to populate the catalog without worrying about scan fees and then pay only for the assets you actively manage (“govern”) and any data quality processes you execute. In summary, Purview Enterprise’s pricing is usage-based and divided into two primary areas: (1) Governed Assets and (2) Data Processing (DGPUs). Plan for Governance Microsoft Purview’s data governance framework is built on two core components: Data Map and Unified Catalog. The Data Map acts as the technical foundation, storing metadata about assets discovered through scans across your data estate. It inventories sources and organizes them into collections and domains for technical administration. The Unified Catalog sits on top as the business-facing layer, leveraging the Data Map’s metadata to create a curated marketplace of data products, glossary terms, and governance domains for data consumers and stewards. Before onboarding sources, align Unified Catalog (business-facing) and Data Map (technical inventory) and define roles, domains, and collections so ownership and access boundaries are clear. Here is a documentation that covers roles and permissions in Purview: Permissions in the Microsoft Purview portal | Microsoft Learn. The imageabove helps understand therelationship between the primary data governance solutions, Unified Catalog and Data Map, and the permissions granted by the roles for each solution. Considerations and Steps for Setting up Purview Steps for Setting up Purview: Step 1: Create a Purview Account. In the Azure Portal, use the search bar at the top to navigate to Microsoft Purview Accounts. Once there, click “Create”. This will take you to the following screen: Step 2: Click Next: Configuration and follow the Wizard, completing the necessary fields, including information on Networking, Configurations, and Tags. Then click Review + Create to create your Purview account. Consideration: Private networking: Use Private Endpoints to secure Unified Catalog/Data Map access and scan traffic; follow the new platform private endpoints guidance in the Microsoft Purview portal or migrate classic endpoints. Once your Purview Account is created, you’ll want to set up and manage your organization’s governance strategy to ensure that your data is classified and managed according to the specific lifecycle guidelines you set. Note: Follow the steps in this guide to set up Microsoft Purview Data Lifecycle Management: Data retention policy, labeling, and records management. Data Map Best Practices Design your collections hierarchy to align with organizational strategy—such as by geography, business function, or data domain. Register each data source only once per Purview account to avoid conflicting access controls. If multiple teams consume the same source, register it at a parent collection and create scans under subcollections for visibility. The imageaboveillustrates a recommended approach for structuring your Purview DataMap. Why Collection Structure Matters A well-structured Data Map strategy, including a clearly defined hierarchy of collections and domains, is critical because the Data Map serves as the metadata backbone for Microsoft Purview. It underpins the Unified Catalog, enabling consistent governance, role-based access control, and discoverability across the enterprise. Designing this hierarchy thoughtfully ensures scalability, simplifies permissions management, and provides a solid foundation for implementing enterprise-wide data governance. Purview Integration with Azure Databricks Databricks Workspace Structure In Azure Databricks, each region supports a single Unity Catalog metastore, which is shared across all workspaces within that region. This centralized architecture enables consistent data governance, simplifies access control, and facilitates seamless data sharing across teams. As an administrator, you can scan one workspace in the region using Microsoft Purview to discover and classify data managed by Unity Catalog, since the metastore governs all associated workspaces in a region. If your organization operates across multiple regions and utilizes cross-region data sharing, please review the consideration and workaround outlined below to ensure proper configuration and governance. Follow pre-requisite requirements here, before you register your workspace: Prerequisites to Connect and manage Azure Databricks Unity Catalog in Microsoft Purview. Steps to Register Databricks Workspace Step 1: In the Microsoft Purview portal, navigate to the Data Map section from the left-hand menu. Select Data Sources. Click on Register to begin the process of adding your Databricks workspace. Step 2: Note: There are two Databricks data sources, please review documentation here to review differences in capability: Connect to and manage Azure Databricks Unity Catalog in Microsoft Purview | Microsoft Learn. You can choose either source based on your organization’s needs. Recommended is “Azure Databricks Unity Catalog”: Step 3: Register your workspace. Here are the steps to register your data source: Steps to Register an Azure Databricks workspace in Microsoft Purview. Step 4: Initiate scan for your workspace, follow steps here: Steps to scan Azure Databricks to automatically identify assets. Once you have entered the required information test your connection and click continue to set up scheduled scan trigger. Step 5: For Scan trigger, choose whether to set up a schedule or run the scan once according to your business needs. Step 6: From the left pane, select Data Map and select your data source for your workspace. You can view a list of existing scans on that data source under Recent scans, or you can view all scans on the Scans tab. Review further options here: Manage and Review your Scans. You can review your scanned data sources, history and details here: Navigate to scan run history for a given scan. Limitation: The “Azure Databricks Unity Catalog” data source in Microsoft Purview does not currently support connection via Managed Vnet. As a workaround, the product team recommends using the “Azure Databricks Unity Catalog” source in combination with a Self-hosted Integration Runtime (SHIR) to enable scanning and metadata ingestion. You can find setup guidance here: Create and manage SHIR in Microsoft Purview Choose the right integration runtime configuration Scoped scan support for Unity Catalog is expected to enter private preview soon. You can sign up here: https://aka.ms/dbxpreview. Considerations: If you have delta-shared Databricks-to-Databricks workspaces, you may have duplication in your data assets if you are scanning both Workspaces. The workaround for this scenario is as you add tables/data assets to a Data Product for Governance in Microsoft Purview, you can identify the duplicated tables/data assets using their Fully Qualified Name (FQN). To make identification easier: Look for the keyword “sharing” in the FQN, which indicates a Delta-Shared table. You can also apply tags to these tables for quicker filtering and selection. The screenshot highlights how the FQN appears in the interface, helping you confidently identify and manage your data assets. Purview Integration with Microsoft Fabric Understanding Fabric Integration: Connect Cross-Tenant: This refers to integrating Microsoft Fabric resources across different Microsoft Entra tenants. It enables organizations to share data, reports, and workloads securely between separate tenants, often used in multi-organization collaborations or partner ecosystems. Key considerations include authentication, data governance, and compliance with cross-tenant policies. Connect In-Same-Tenant: This involves connecting Fabric resources within the same Microsoft Entra tenant. It simplifies integration by leveraging shared identity and governance models, allowing seamless access to data, reports, and pipelines across different workspaces or departments under the same organizational umbrella. Requirements: An Azure account with an active subscription. Create an account for free. An active Microsoft Purview account. Authentication is supported via: Managed Identity. Delegated Authentication and Service Principal. Steps to Register Fabric Tenant Step 1: In the Microsoft Purview portal, navigate to the Data Map section from the left-hand menu. Select Data Sources. Click on Register to begin the process of adding your Fabric Tenant (which also includes PowerBI). Step 2: Add in Data Source Name, keep Tenant ID as default (auto-populated). Microsoft Fabric and Microsoft Purview should be in the same tenant. Step 3: Enter in Scan name, enable/disable scanning for personal workspaces. You will notice under Credentials automatically created identity for authenticating Purview account. Note: If your Purview is behind Private Network, follow the guidelines here: Connect to your Microsoft Fabric tenant in same tenant as Microsoft Purview. Step 4: From your Microsoft Fabric, open Settings, Click on Tenant Settings and enable “Service Principals can access read-only admin APIs”, “Enhanced admin API responses within detailed metadata” and “Enhance Admin API responses with DAX and Mashup Expressions” within Admin API Settings section. Step 5: You will need to create a group, add the Purviews' managed identity to the group and add the group under “Service Principals can access read-only admin APIs” section of your tenant settings inside Microsoft Fabric Step 6: Test your connection and setup scope for your scan. Select the required workspaces, click continue and automate a scan trigger. Step 7: From the left pane, select Data Map and select your data source for your workspace. You can view a list of existing scans on that data source under Recent scans, or you can view all scans on the Scans tab. Review further options here: Manage and Review your Scans. You can review your scanned data sources, history and details here: Navigate to scan run history for a given scan. Why Customers Love Purview Kern County unified its approach to securing and governing data with Microsoft Purview, ensuring consistent compliance and streamlined data management across departments. EY accelerated secure AI development by leveraging the Microsoft Purview SDK, enabling robust data governance and privacy controls for advanced analytics and AI initiatives. Prince William County Public Schools created a more cyber-safe classroom environment with Microsoft Purview, protecting sensitive student information while supporting digital learning. FSA (Food Standards Agency) helps keep the UK food supply safe using Microsoft Purview Records Management, ensuring regulatory compliance and safeguarding critical data assets. Conclusion Purview’s Unified Catalog centralizes governance across Discovery, Catalog Management, and Health Management. The Governance features in Purview allow organizations to confidently answer critical questions: What data do we have? Where did it come from? Who is responsible for it? Is it secure and compliant? Can we trust its quality? Microsoft Purview, when integrated with Azure Databricks and Microsoft Fabric, provides a unified approach to cataloging, classifying, and governing data across diverse environments. By leveraging Purview’s Unified Catalog, Data Map, and advanced governance features, organizations can achieve end-to-end visibility, enforce consistent policies, and improve data quality. You might ask, why does data quality matter? Well, in today’s world, data is the new gold. References Microsoft Purview | Microsoft Learn Pricing - Microsoft Purview | Microsoft Azure Use Microsoft Purview to Govern Microsoft Fabric Connect to and manage Azure Databricks Unity Catalog in Microsoft PurviewBuild enterprise-ready AI agents with confidence: Microsoft AI agent envisioning series
In today’s fast-paced software landscape, keeping up with new technologies and frameworks to build secure, scalable, and enterprise-ready AI apps and agents is more critical—and more complex—than ever. The Microsoft AI Agent Envisioning Series is a four-part webinar experience designed to equip software development companies with the frameworks, tools, and strategies needed to build, publish and monetize AI agents using Azure AI Foundry and the Microsoft Marketplace. Whether you're launching new solutions or evolving existing ones, this series will help you accelerate development, ensure compliance, and scale with confidence. Why Attend? Software companies are racing to deliver intelligent, autonomous solutions that scale. But building commercially viable AI agents that are secure, compliant, and enterprise-ready is no small feat. That’s why we created the Microsoft AI Agent Envisioning Series—a webinar series designed to help you build, publish, and monetize AI agents using Azure AI Foundry, with your preferred coding practices and standards. What You’ll Gain Each session delivers step-by-step guidance, technical best practices, and business strategy to help you: Architect AI agents for real-world business impact Package and publish your solution on the Microsoft Marketplace Build trust with enterprise customers through security and compliance Monetize with confidence using proven go-to-market frameworks The Sessions *It is not required to take the sessions in order. Session 1: Introduction to AI Agent Opportunities and Azure AI Foundry Explore the evolution from general LLMs to specialized agents. Learn how Azure AI Foundry simplifies development and unlocks new monetization paths. Session 2: Architecting AI Solutions for Marketplace Monetization Use the Marketplace Lean Canvas to define your agent’s value. Learn how to optimize cost, select models, and align pricing with customer outcomes. Session 3: Publishing & Releasing Your AI Agent Solution Get your solution marketplace-ready. Learn how to configure SaaS and container offers, meet compliance requirements, and find your buyers. Session 4: Winning Customer Confidence with Trustworthy AI and Production-Ready Architecture Dive into the Azure Well-Architected Framework for AI. Learn how to implement observability, tracing, and enterprise-grade security. Built for Software Development Companies Whether you're building net-new agents or transforming existing apps, this series will help you: Accelerate development with Azure AI Foundry templates and SDKs Ensure compliance with SOC 2, GDPR, HIPAA, and ISO 27001 Publish confidently with Partner Center and Marketplace certification Scale globally with Azure’s infrastructure and co-sell programs Ready to Build AI Agents That Scale? Join us and get the frameworks, tools, and strategies to build AI agents that enterprises trust, IT departments approve, and customers love. Register now for the AI Envisioning Day to access all the sessions and start your journey from idea to customer impact.
September update: What's new in Azure for partners
Navigate to News and Announcements, Incentives and Offers, Skilling and Events, Go-To-Market, Customer Success News and Announcements Explore Microsoft Marketplace, a trusted source for AI apps, tools, and agents and a growth engine for partners. With a dedicated AI apps and agents category, expanded discoverability and co-sell, distributor integration, and resale-enabled offers (in private preview), partners now have even more ways to connect innovation with customers everywhere. Learn more. Blog series: Catch up on our Cloud & AI Platforms blog series starting with Part 1: Capturing the market opportunity and continuing with Part 2: Migrations & modernizations. Microsoft Ignite 2025: Join us in San Francisco or virtually November 18–21, 2025, to bolster your knowledge, build connections, and explore emerging technologies to give you the edge you need to drive impact in the era of AI. Register today. Azure AI Foundry: Now featuring GPT-5, OpenAI gpt-oss, Foundry Local support, and a new browser automation tool to help you build intelligent agents using natural language. Learn more here. AKS Automatic: Managed Kubernetes is now generally available, making cloud-native and AI app deployment easier than ever. Read more. Oracle Database@Azure: Now available in Germany North—bringing availability to 23 regions worldwide. MySQL 8.4: Now generally available on Azure Database for MySQL – Flexible Server, MySQL 8.4 provides improved performance, observability, and replication management. Broadcom licensing update: Broadcom is changing its VMware licensing model. With the AVS VCF BYOL option, customers can now deploy AVS with their own VCF subscriptions (BYOL) in 35 regions, reducing costs. If you’re an Azure VMware Solution (AVS) partner, speak to your customers about their options. Access three new co-branded campaign in a box (CiaB) asset collections to generate demand and create more opportunities with your customers: Migrate and modernize your estate ENT & SMB and Unify your data platform ENT. Missed FabCon Europe? Learn about the top announcements and our Partner Day through these blogs from Jessica Hawk (CVP, Data, AI, and Digital Applications Product Marketing) and Arun Ulagaratchagan (CVP, Azure Data). Get ready for FabCon 2026 in Atlanta in March––register soon before they sell out. Microsoft Fabric Extensibility Toolkit: Software companies can help customers bring apps to Fabric, speed development, and integrate workloads. Get started today. Read the latest on why Databricks runs best on Azure from the Azure blog. New partner investments available for Microsoft Defender for Cloud––InfraDB and Azure: Expert MSP partners with the Microsoft Security designation are now eligible for incentives to help drive Defender for Cloud in migration and modernization projects. Access helpful resources here and sign up for our upcoming webinar on October 29, 2025, Americas/EMEA time zones or Asia time zone. Incentives and Offers Explore Azure Accelerate: A unified offering within the Microsoft AI Cloud Partner Program, Azure Accelerate brings together Azure Migrate and Modernize, Azure Innovate, and Cloud Accelerate Factory––all built upon the foundations of Azure Essentials. Nominate your project today. Cloud Accelerate Factory provides zero-cost deployment assistance for more than 30 Azure services, with expert support and joint delivery, no matter the project size. Dr Migrate is an AI-assisted platform for cloud migration planning, available within Azure Accelerate. Eligible partners can request licenses through Azure Accelerate to run environment and proof of value assessments with customers. Join the Driving Confidence Through AI-Assisted Cloud Migrations partner webinar to learn more about the Dr Migrate offer. Invite a colleague to join the Azure Migrate and Modernize Partner Forum, your source for early access to Azure offerings, product roadmaps, and marketing updates for partners. ISV Success Advanced Package: Top-performing software companies with certified software designations can qualify for financial incentives to build AI solutions or migrate customers to Azure. The package supports every stage of ISV Success. Learn more. New end-customer migration incentives are now available to help software companies and advanced specialized systems integrators securely and efficiently move software companies’ end customers to modern applications running on Azure. See the ISV Engagements tab in the incentives guide for more information. Grow your business with Microsoft Security Envisioning Workshops to reach more customers, refine your sales, and unlock new revenue with world-class security. Skilling and Events Visit our Skilling Hub for the latest training resources to earn designations and specializations. Explore the most recent skilling blog for key skilling-related announcements. Looking for bite-sized skilling? Check out this episode of the Azure Essentials Show to learn how Azure Databricks transforms fragmented data estates into unified platforms for analytics and AI. Microsoft AI Tour for Partners is back: Join a free, one-day event to accelerate your AI journey with sales best practices, growth opportunities, hands-on labs, and technical deep dives. Upcoming stops: Toronto (September 30) and Chicago (October 8). Join the Fabric Global Hack (September 15–November 3, 2025): Build data and AI solutions with Fabric, collaborate globally, and compete for prizes up to $10,000. Participants get 50% off Fabric certifications. The Migrate and Modernize Summit replay is available now. Hear from Microsoft leaders––including Scott Guthrie, Jeremy Winter, Amanda Silver, and Cyril Belikoff––on the latest innovations around AI-assisted tooling and products to help simplify and accelerate cloud migrations. Join us at the Azure Dev Summit (October 13–16, 2025): This Microsoft-sponsored event is designed for developers, architects, and technology leaders to explore the latest in Azure, .NET, and Microsoft AI, gain insights from inspiring speakers, and connect with peers driving innovation. Participate in AgentCon 2025 by Global AI Community: Join a global series of one-day conferences designed exclusively for developers building the future with autonomous AI agents. The 2027 deadline to move SAP workloads to S4/HANA is approaching, so now is the time to activate your SAP on Azure practice Partner Ready and Sales Ready courses to help business managers unlock Azure benefits and equip sales teams to effectively position SAP on Azure solutions. The Azure Cosmos DB Partner Acceleration Program for FY26 has officially launched. Designed to upskill partners through technical enablement, monthly sessions, and self-learning resources, the program also offers customer engagement assistance—including funding for proofs of concept (PoCs) and migrations—and direct access to the product group for blockers. Enroll today and don’t miss the first training on October 14, 2025. Go-To-Market Take your marketing strategy to the next level with predesigned campaigns, resources, and ready-to-go assets. Learn more. Generate leads leveraging custom propensity lists and executing marketing initiatives with Microsoft CloudAscent and Solution Play Propensity Accelerate Revenue and KPIs (SPARK) Propensity. Looking for proven and scalable AI transformation assets that deliver value quickly? AI Solution Accelerators are proven, prebuilt PoC assets that drive successful AI implementations, enabling you to demonstrate the value of AI capabilities and accelerate time to value. Drive success in building AI apps and agents with a comprehensive set of sales tools and marketing resources, including Microsoft pitch decks, guides, solution accelerators, demos, and more. Access them here. Unify your data platform to help your customers implement a data strategy that is fit for the era of AI, including customizable pitch decks and other go-to-market resources to help you succeed. Find it all here, and explore Fabric here. Differentiate your expertise to customers with Solutions Partner designations and specializations. Customer Success Discover how Microsoft can transform your sales strategy with case studies and customer success stories that showcase how businesses, NGOs, and individuals leverage AI to transform their business. Follow the tag Azure news to stay updated on monthly Azure partner news.Implementing Zero Trust Architecture in an Azure Environment
In today’s cloud-driven world, the traditional “trust but verify” security model no longer works. The rise of remote work, hybrid networks, and increasingly sophisticated cyber threats means that organizations can’t rely solely on firewalls or network perimeters to protect their assets. Instead, Zero Trust Architecture (ZTA) has become the gold standard for securing modern cloud environments — especially on platforms like Microsoft Azure. This article explores the principles of Zero Trust, why it matters, and how to implement it effectively in an Azure environment. https://dellenny.com/implementing-zero-trust-architecture-in-an-azure-environment/How Agentic AI Works and How to Build It in Azure
Agentic AI refers to systems that go beyond simple question-answering or rule-based automation. These systems are autonomous, goal-oriented, and adaptive — meaning they can plan, act, and learn with minimal human oversight. https://dellenny.com/how-agentic-ai-works-and-how-to-build-it-in-azure/Firmware Analysis now Generally Available
Back in June, we announced the public preview of firmware analysis, a new capability available through Azure Arc to help organizations gain visibility into the security of their Internet of Things (IoT), Operational Technology (OT), and network devices. Today, we are excited to announce that firmware analysis is generally available (GA) for all Azure customers. In modern industrial environments, firmware security is a foundational requirement. IoT sensors and smart devices collect the data fueling AI-driven insights; if those devices aren’t secure, your data and operational continuity are at risk. During the preview, we heard from many customers who used firmware analysis to shine a light into their device software and address hidden vulnerabilities before attackers or downtime could strike. With general availability, firmware analysis is ready to help organizations fortify the “blind spots” in their infrastructure – from factory-floor sensors to branch office routers – by analyzing the software that runs on those devices. What Firmware Analysis Does for You Firmware analysis examines the low-level software (firmware) that powers IoT, OT and network devices, with no agent required on the device. You can upload a firmware image (for example, an extracted embedded Linux image), and the cloud service performs an automated security inspection. Key features include: Software inventory & vulnerability scanning: The service builds a Software Bill of Materials (SBOM) of components within the firmware and checks each component against known CVEs (Common Vulnerabilities and Exposures). This quickly surfaces any known vulnerabilities in your device’s software stack so you can prioritize patching those issues. Security configuration and hardening check: Firmware analysis evaluates how the firmware binaries are built, looking for security hardening measures (e.g. stack protections, ASLR) or dangerous configurations. If certain best practices are missing, the firmware might be easier to exploit – the tool flags this to inform the device manufacturer or your security team. Credential and secrets discovery: The analysis finds any hard-coded credentials (user accounts/password hashes) present in the firmware, as well as embedded cryptographic material like SSL/TLS certificates or keys. These could pose serious risks – for instance, default passwords that attackers could exploit (recall the Mirai botnet using factory-default creds) are identified so you can mitigate them. Any discovered certificates or keys can indicate potentially insecure design if left in production firmware. Comprehensive report: All security findings – from the Software Bill of Materials (SBOM), list of vulnerabilities to hardening recommendations and exposed secrets – are provided in a detailed report for each firmware image analyzed. This gives device makers and operators actionable intelligence to improve their device security posture. In short, firmware analysis provides deep insights into the contents and security quality of device firmware. It turns opaque firmware into transparent data, helping you answer, “What’s really inside my device software?” so you can address weaknesses proactively. What’s New and Licensing We’ve been hard at work making firmware analysis even better as we move to GA. Based on preview feedback, we’ve addressed bugs, implemented usability suggestions and improved the firmware analysis SDKs, CLI and PowerShell extensions. A new Azure resource called “firmware workspace” now stores analyzed firmware images. Firmware analysis workspaces are currently available as a Free Firmware Analysis Workspace SKU with capacity limits. Getting Started If you have IoT, OT and network devices in your environment, use firmware analysis to test just how secure your devices are. Getting started is easy: access firmware analysis by searching “firmware analysis” in the Azure portal, or access using this link. Onboard your subscription and then upload firmware images for analysis. For a step-by-step tutorial, visit our official documentation. The service currently supports embedded Linux-based images up to 1GB in size. We want to thank all the preview participants who tested firmware analysis and provided feedback. You helped us refine the service for GA and we’re thrilled to make this powerful tool broadly available to help secure IoT, OT and network devices around the world. We can’t wait to see how you put it to work. As always, we value your feedback, so please let us know what you think.Azure Data Factory, SQL Managed Instance, and SSIS Implementation
Co-Authored By: Rafia_Aqil​ This guide provides step-by-step instructions for enabling Azure Data Factory (ADF), connecting it with Azure SQL Managed Instance (SQLMI), provisioning SSIS runtime, running SSIS packages, and integrating with Microsoft Fabric (Power BI). It is intended for cloud solution architects and data engineering teams deploying enterprise-scale data solutions. Enabling the ADF Instance Create an Azure Data Factory Follow the official Microsoft Learn guide to set up your ADF instance. Required Roles You must have Contributor, Owner, or Administrator permissions on the subscription or resource group to deploy and configure the ADF resource. Granting Initial Access to the Data Engineering Team Initial Access How to set permissions in ADF ? - Microsoft Q&A Assign Data Factory Contributor Role Grant the Data Factory Contributor role to your engineering team on the ADF resource. This enables them to log in, author pipelines, and manage linked services. Connecting Azure SQL Managed Instance with ADF Networking Options Use managed virtual networks and managed private endpoints: Managed virtual network and managed private endpoints - Azure Data Factory | Microsoft Learn. Alternatively, create a self-hosted integration runtime. Data Movement Copy and transform data in Azure SQL Managed Instance using ADF pipelines: Copy and transform data in Azure SQL Managed Instance - Azure Data Factory & Azure Synapse | Microsoft Learn 4. Creating SSIS Runtime Prerequisites Create an Azure-SSIS integration runtime in Azure Data Factory: Create an Azure-SSIS integration runtime in Azure Data Factory - Azure Data Factory | Microsoft Learn. Provisioning Provision the Azure-SSIS integration runtime: Provision the Azure-SSIS integration runtime - Azure Data Factory | Microsoft Learn Choose Enterprise Edition for advanced features: Provision Enterprise Edition for the Azure-SSIS Integration Runtime - Azure Data Factory | Microsoft Learn Enable Microsoft Entra authentication for secure access: Enable Microsoft Entra authentication for Azure SSIS integration runtime - Azure Data Factory | Microsoft Learn Join the Azure-SSIS integration runtime to a virtual network. Create a new subnet in the existing SQLMI VNET. Running SSIS Packages in ADF Deploy and Run Deploy and run SSIS packages in Azure using ADF: Deploy and run SSIS packages in Azure - SQL Server Integration Services (SSIS) | Microsoft Learn Migrate on-premises SSIS workloads to SSIS in Azure Data Factory: Migrate on-premises SQL Server Integration Services (SSIS) workloads to SSIS in Azure Data Factory (ADF) - Azure Data Factory | Microsoft Learn Sending Data to Fabric (Power BI) Ingest Data Use the Azure Data Factory Copy activity to ingest data into Fabric (Power BI): How to ingest data into Fabric using the Azure Data Factory Copy activity - Azure Data Factory | Microsoft Learn Using ADF in Fabric for Mature, Deployment-Ready Workloads ADF Integration in Fabric Use Azure Data Factory items (Mount) in Microsoft Fabric for robust, production-ready workloads: How to Use Azure Data Factory item (Mount) in Microsoft Fabric - Microsoft Fabric | Microsoft Learn References: All steps and best practices are sourced from official Microsoft Learn documentations mentioned in this documentation.AKS vs Azure Web App – When to Choose Which?
Criteria Azure Kubernetes Service (AKS) Azure Web App ( App Service ) Use Case Microservices, complex distributed apps, container orchestration Simple web apps, APIs, or monolithic workloads Scalability Advanced autoscaling at container/pod level Built-in autoscale for instances Control Full control over networking, security, and runtime Managed platform, limited infrastructure control Complexity Requires Kubernetes expertise Easy to set up and manage CI/CD ntegrates with Azure DevOps/GitHub Actions, flexible pipelines Native CI/CD support with minimal setup Cost Pay for cluster nodes and infra (can be higher for small workloads) Pay per app plan (simpler, often cheaper for small apps) Best For Large-scale, containerized enterprise apps Quick deployments, small-to-medium web apps, APIs Examples Banking microservices, AI inference workloads, enterprise SaaS Company website, REST API, internal dashboardsComo começar e crescer no mercado de tecnologia
A #JornadaTech é uma maratona de mentorias online do Microsoft Reactor São Paulo, sobre carreira na tecnologia, em que você poderá aprender mais sobre as áreas de Cloud, Segurança, Programação e Dados. Neste artigo, você encontrará algumas dicas e recursos para começar e crescer na carreira de tecnologia.
