Azure Migrate: Connected Experiences
Shiva Shastri Sr Product Marketing Manager, Azure Migrate—Product & Ecosystem. Modernization in motion: Evolving at the speed of change. Modernization is the process of transforming legacy IT systems into technologies and architectures that improve agility, scalability, performance and cost-efficiency. It enables businesses to stay competitive by aligning their capabilities with evolving customer and market demands. Modernization is not a one-time event with a finish-line but a continuous journey of evolution. As technology, customer expectations, and competitive landscapes shift, so must the systems and processes that support them. Cloud-native architectures are inherently aligned with modernization while providing access to innovations such as AI. By treating modernization as an ongoing discipline, organizations can stay ahead of disruption, adapt faster to change, and unlock new opportunities. This ability to move faster and smarter is fully realized in Azure — where modernization becomes both a technical upgrade and a strategic advantage. It enables organizations to refocus on core priorities, respond to market shifts in real time, and reduce operational costs. At the heart of this transformation is Azure Migrate — Microsoft’s free, unified platform for cloud migration and modernization. It offers comprehensive capabilities including IT resource discovery, assessment, business case analysis, planning, and execution — all in a workload-agnostic manner. From a single, secure portal, users can manage and monitor the entire journey and cut over to production in Azure with confidence. Today, we’re excited to introduce several impactful Azure Migrate features designed to help you move your on-premises workloads to Azure more efficiently: Accelerated migration and modernization to the cloud. Azure Migrate Agentic method offers an intuitive and insightful approach to cloud transformation. AI assistance assesses on-prem environments, identifies dependencies, and orchestrates workload transitions with minimal manual intervention. By continuously adapting and delegating activities to the appropriate persona, the agents streamline complex migration paths, reduce risk, and accelerate time-to-value. For organizations moving to Azure, the agentic method provides a fast, frictionless route, turning what was once a daunting task into a guided, efficient journey toward modernization. Learn more about our approach in this video. Infrastructure as Code (IaC) plays a pivotal role in cloud migration and modernization by enabling organizations to automate the provisioning and management of infrastructure through code. This approach ensures consistency, scalability, and repeatability across environments, reducing manual errors and accelerating deployment timelines. Azure Migrate now supports IaC, thus simplifying the transition from legacy systems to cloud-native architectures by codifying infrastructure configurations, making it easier to replicate and validate setups. Comprehensive coverage and consistent user experience for your IT estate. No single migration or modernization tool can address the full spectrum of enterprise scenarios and technologies. That’s why Azure Migrate takes a platform-centric approach — delivering a unified, intelligent experience that spans the entire IT estate. By seamlessly interoperating with specialized tools like Database Migration Service (DMS) and GitHub Copilot (GHCP), Azure Migrate empowers organizations to modernize with confidence, flexibility, and speed. Advanced capabilities like 6R analysis — Rehost, Refactor, Rearchitect, Rebuild, Replace, and Retire — empower organizations to tailor modernization strategies to each application, driving smarter, scenario-specific decisions. Support for migration of Arc-enabled resources extends Azure Migrate’s management and governance capabilities to hybrid and multi-cloud environments, ensuring consistency and control regardless of where workloads reside. Additionally, support for Rocky Linux, PostgreSQL, and application awareness empowers teams to assess entire open-source application stacks with dependencies for readiness to migrate to Azure. Secure by design with human in-the-loop. Azure Migrate has recently introduced several security enhancements that reinforce Microsoft's commitment to a "secure by design" and "secure by default" approach. Among the key updates is the friction-free collector, which simplifies secure data collection for migration assessments while minimizing exposure risks. The friction-free discovery in Azure Migrate eliminates the need for deploying discovery appliances for initial assessments. As a result, it accelerates time-to-value, reduces setup complexity, and aligns well with security-conscious environments, making it an efficient and low-risk way to begin cloud migration planning. Azure Migrate supports Private Link and disabling public network access, ensuring that migration traffic remains within secure, private channels. Additionally, the platform enforces data encryption both in transit and at rest, with options for customer-managed keys, and integrates tightly with Azure Key Vault for secure credential and secret management. A security vulnerability report during migration and modernization identifies misconfigurations, outdated components, or exposed services, and the report provides actionable insights that align with Microsoft Defender for Cloud (MDC) threat protection and posture management capabilities. This allows teams to proactively remediate risks and apply MDC’s security controls ensuring the environment is secure from day-1 in Azure. As organizations navigate shifting markets, supply chains, and climate challenges, sustainability has become a strategic imperative. Azure’s carbon optimization capabilities provide clear visibility into potential emission reductions and cost savings, helping IT teams prioritize impactful actions. By unifying planning, execution, and continuity across infrastructure and applications, Azure delivers a consistent modernization experience. Ultimately, cloud-powered innovation enables businesses to drive efficiency, reduce environmental impact, and stay competitive in a rapidly evolving landscape. Learn more Start with a free Azure account if you are new. Learn more about the workload agnostic method of Azure Migrate and for expert migration help, please try Azure Accelerate. You can also contact your preferred partner or Microsoft field for next steps. Get started in Azure today!
Selecting the Right Agentic Solution on Azure
Recently, we have seen a surge in requests from customers and Microsoft partners seeking guidance on building and deploying agentic solutions at various scales. With the rise of Generative AI, replacing traditional APIs with agents has become increasingly popular. There are several approaches to building, deploying, running, and orchestrating agents on Azure. In this discussion, I will focus exclusively on Azure-specific tools, services, and methodologies, setting aside Copilot and Copilot Studio for now. This article describes the options available as of today. 1. Azure OpenAI Assistants API: This feature within Azure OpenAI Service enables developers to create conversational agents (“assistants”) based on OpenAI models (such as GPT-3.5 and GPT-4). It supports capabilities like memory, tool/function calls, and retrieval (e.g., document search). However, Microsoft has already deprecated version 1 of the Azure OpenAI Assistants API, and version 2 remains in preview. Microsoft strongly recommends migrating all existing Assistants API-based agents to the Agent Service. Additionally, OpenAI is retiring the Assistants API and advises developers to use the modern “Response” API instead (see migration detail). Given these developments, it is not advisable to use the Assistants API for building agents. Instead, you should use the Azure AI Agent Service, which is part of Azure AI Foundry. 2. Workflows with AI agents and models in Azure Logic Apps (Preview) – As the name suggests, this feature is currently in public preview and is only available with Logic Apps Standard, not with the consumption plan. You can enhance your workflow by integrating agentic capabilities. For example, in a visa processing workflow, decisions can be made based on priority, application type, nationality, and background checks using a knowledge base. The workflow can then route cases to the appropriate queue and prepare messages accordingly. Workflows can be implemented either as chat assistant or APIs. If your project is workflow-dependent and you are ready to implement agents in a declarative way, this is a great option. However, there are currently limited choices for models and regional availability. For CI/CD, there is an Azure Logic Apps Standard template available for VS Code you can use. 3. Azure AI Agent Service – Part of Azure AI Foundry, the Azure AI Agent Service allows you to provision agents declaratively from the UI. You can consume various OpenAI models (with support for non-OpenAI models coming soon) and leverage important tools or knowledge bases such as files, Azure AI Search, SharePoint, and Fabric. You can connect agents together and create hierarchical agent dependencies. SDKs are available for building agents within agent services using Python, C#, or Java. Microsoft manages the infrastructure to host and run these agents in isolated containers. The service offers role-based access control, MS Entra ID integration, and options to bring your own storage for agent states and Azure Key Vault keys. You can also incorporate different actions including invoking a Logic App instance from your agent. There is also option to trigger an agent using Logic Apps (preview). Microsoft recommends using Agent Service/Azure Foundry as the destination for agents, as further enhancements and investments are focused here. 4. Agent Orchestrators – There are several excellent orchestrators available, such as LlamaIndex, LangGraph, LangChain, and two from Microsoft—Semantic Kernel and AutoGen. These options are ideal if you need full control over agent creation, hosting, and orchestration. They are developer-only solutions and do not offer a UI (barring AutoGen Studio having some UI assistance). You can create complex, multi-layered agent connections. You can then host and run these agents in you choice of Azure services like AKS or Apps Service. Additionally, you have the option to create agents using Agent Service and then orchestrate them with one of these orchestrators. Choosing the Right Solution The choice of agentic solution depends on several factors, including whether you prefer code or no-code approaches, control over the hosting platform, customer needs, scalability, maintenance, orchestration complexity, security, and cost. Customer Need: If agents need to be part of a workflow, use AI Agents in Logic Apps; otherwise, consider other options. No-Code: For workflow-based agents, Logic Apps is suitable; for other scenarios, Azure AI Agent Service is recommended. Hosting and Maintenance: If Logic Apps is not an option and you prefer not to maintain your own environment, use Azure AI Agent Service. Otherwise, consider custom agent orchestrators like Semantic Kernel or AutoGen to build the agent and services like AKS or Apps Service to host those. Orchestration Complexity: For simple hierarchical agent connections, Azure AI Agent Service is good choice. For complex orchestration, use an agent orchestrator. Versioning - If you are concerned about versioning to ensure solid CI/CD regime then you may have to chose Agent Orchestrators. Agent Service still miss this feature clarity. We have some work-around but it is not robust implementation. Hopefully we will catch up soon with a better versioning solution. Summary: When selecting the right agentic solution on Azure, consider the latest recommendations and platform developments. For most scenarios, Microsoft advises using the Azure AI Agent Service within Azure Foundry, as it is the focus of ongoing enhancements and support. For workflow-driven projects, Azure Logic Apps with agentic capabilities may be suitable, while advanced users can leverage orchestrators for custom agent architecturesAzure OpenAI Landing Zone reference architecture
In this article, delve into the synergy of Azure Landing Zones and Azure OpenAI Service, building a secure and scalable AI environment. Unpack the Azure OpenAI Landing Zone architecture, which integrates numerous Azure services for optimal AI workloads. Explore robust security measures and the significance of monitoring for operational success. This journey of deploying Azure OpenAI evolves alongside Azure's continual innovation.Azure Course Blueprints
Overview The Course Blueprint is a comprehensive visual guide to the Azure ecosystem, integrating all the resources, tools, structures, and connections covered in the course into one inclusive diagram. It enables students to map out and understand the elements they've studied, providing a clear picture of their place within the larger Azure ecosystem. It serves as a 1:1 representation of all the topics officially covered in the instructor-led training. Formats available include PDF, Visio, Excel, and Video. Links: Each icon in the blueprint has a hyperlink to the pertinent document in the learning path on Learn. Layers: You have the capability to filter layers to concentrate on segments of the course Integration: The Visio Template+ for expert courses like SC-100 and AZ-305 includes an additional layer that enables you to compare SC-100, AZ-500, and SC-300 within the same diagram. Similarly, you can compare any combination of AZ-305, AZ-700, AZ-204, and AZ-104 to identify differences and study gaps. Since SC-300 and AZ-500 are potential prerequisites for the expert certification associated with SC-100, and AZ-204 or AZ-104 for the expert certification associated with AZ-305, this comparison is particularly useful for understanding the extra knowledge or skills required to advance to the next level. Advantages for Students Defined Goals: The blueprint presents learners with a clear vision of what they are expected to master and achieve by the course’s end. Focused Learning: By spotlighting the course content and learning targets, it steers learners’ efforts towards essential areas, leading to more productive learning. Progress Tracking: The blueprint allows learners to track their advancement and assess their command of the course material. Topic List: A comprehensive list of topics for each slide deck is now available in a downloadable .xlsx file. Each entry includes a link to Learn and its dependencies. Download links Associate Level PDF Visio Contents Video Overview AZ-104 Azure Administrator Associate R: 12/14/2023 U: 04/16/2025 Blueprint Visio Excel Mod 01 AZ-204 Azure Developer Associate R: 11/05/2024 U: 11/11/2024 Blueprint Visio Excel AZ-500 Azure Security Engineer Associate R: 01/09/2024 U: 10/10/2024 Blueprint Visio+ Excel AZ-700 Azure Network Engineer Associate R: 01/25/2024 U: 11/04/2024 Blueprint Visio Excel SC-200 Security Operations Analyst Associate R: 04/03/2025 U:04/09/2025 Blueprint Visio Excel SC-300 Identity and Access Administrator Associate R: 10/10/2024 Blueprint Excel Specialty PDF Visio AZ-140 Azure Virtual Desktop Specialty R: 01/03/2024 U: 02/27/2025 Blueprint Visio Excel Expert level PDF Visio AZ-305 Designing Microsoft Azure Infrastructure Solutions R: 05/07/2024 U: 02/05/2025 Blueprint Visio+ AZ-104 AZ-204 AZ-700 AZ-140 Excel SC-100 Microsoft Cybersecurity Architect R: 10/10/2024 U: 04/09/2025 Blueprint Visio+ AZ-500 SC-300 SC-200 Excel Skill based Credentialing PDF AZ-1002 Configure secure access to your workloads using Azure virtual networking R: 05/27/2024 Blueprint Visio Excel AZ-1003 Secure storage for Azure Files and Azure Blob Storage R: 02/07/2024 U: 02/05/2024 Blueprint Excel Subscribe if you want to get notified of any update like new releases or updates. Author: Ilan Nyska, Microsoft Technical Trainer My email ilan.nyska@microsoft.com LinkedIn https://www.linkedin.com/in/ilan-nyska/ I’ve received so many kind messages, thank-you notes, and reshares — and I’m truly grateful. But here’s the reality: 💬 The only thing I can use internally to justify continuing this project is your engagement — through this survey https://lnkd.in/gnZ8v4i8 ⏳ Unless I receive enough support via this short survey, the project will be sunset. Thank you for your support! ___ Benefits for Trainers: Trainers can follow this plan to design a tailored diagram for their course, filled with notes. They can construct this comprehensive diagram during class on a whiteboard and continuously add to it in each session. This evolving visual aid can be shared with students to enhance their grasp of the subject matter. Explore Azure Course Blueprints! | Microsoft Community Hub Visio stencils Azure icons - Azure Architecture Center | Microsoft Learn ___ Are you curious how grounding Copilot in Azure Course Blueprints transforms your study journey into smarter, more visual experience: 🧭 Clickable guides that transform modules into intuitive roadmaps 🌐 Dynamic visual maps revealing how Azure services connect ⚖️ Side-by-side comparisons that clarify roles, services, and security models Whether you're a trainer, a student, or just certification-curious, Copilot becomes your shortcut to clarity, confidence, and mastery. Navigating Azure Certifications with Copilot and Azure Course Blueprints | Microsoft Community HubMigrating Application Load Balancer from AWS to Azure Application Gateway
Accelerate Innovation and Business Growth with Azure In today’s digital-first world, organizations are reimagining their cloud architectures to drive agility, resilience, and growth. Migrating your application load balancing from AWS Application Load Balancer (ALB) to Azure Application Gateway is more than a technical upgrade—it’s a strategic move to future-proof your business. Azure Application Gateway delivers enterprise-grade performance, security, and flexibility, empowering you to unlock new opportunities and maximize your cloud investment. Key Insights for a Successful Migration 1. Strategic Assessment: Map Capabilities and Opportunities Begin your journey by evaluating your current AWS ALB environment. Identify critical features—path-based routing, health checks, SSL/TLS termination, autoscaling, and security integrations. Map these capabilities to Azure Application Gateway’s advanced features, including zone redundancy, integrated Web Application Firewall (WAF), and seamless certificate management with Azure Key Vault. This assessment is your blueprint for a migration that preserves business continuity and unlocks new value. 2. Preparation: Build a Foundation for Success Preparation is the cornerstone of a smooth migration. Document your existing configurations, export and convert SSL/TLS certificates, and update backend services to leverage Azure’s intelligent routing and monitoring. Reduce DNS TTL values to enable rapid cutover and minimize downtime. Leverage Infrastructure as Code to deploy Azure resources with speed and consistency, ensuring your environment is ready for transformation. 3. Migration Execution: Seamless Transition, Minimal Disruption Deploy Azure Application Gateway and backend resources in parallel with your AWS environment. Validate routing, security, and health probe configurations to ensure flawless operation. During DNS cutover, monitor propagation and service health to deliver a seamless experience for your users. Azure’s integrated diagnostics and monitoring tools provide real-time visibility, empowering you to resolve issues proactively and maintain peak performance. 4. Validation and Optimization: Drive Continuous Improvement Success is measured by outcomes—performance, reliability, and user satisfaction. Compare Azure metrics against your AWS baselines, validate routing accuracy, and test failover scenarios. Use Azure Monitor and Log Analytics to gain actionable insights and optimize your configuration. Embrace an iterative approach to refine your environment, ensuring it evolves with your business needs. Best Practices for Enterprise Migration Leverage Azure’s integrated ecosystem: Use Key Vault for secure certificate management, Monitor for deep observability, and WAF for robust protection. Automate and standardize: Adopt Infrastructure as Code for repeatable, error-free deployments. Test and validate: Employ automated and manual testing to ensure every capability meets your requirements. Minimize downtime: Plan cutover during low-traffic periods and prepare rollback strategies for business assurance. Monitor and optimize: Continuously improve with Azure’s analytics and alerting tools. The Azure Advantage: Empower Your Business Migrating to Azure Application Gateway is a catalyst for digital transformation. With Microsoft’s commitment to security, reliability, and innovation, your organization is equipped to thrive in a dynamic marketplace. Ready to unlock the full potential of your cloud strategy? Discover Azure Application Gateway best practices and join the leaders who are shaping the future of cloud networking.AI for Operations - Copilot Agent Integration
Solution ideas The original framework introduced several Logic App and Function App patterns for SQL BPA, Update Manager, Cost Management, Anomaly Detection, and Smart Doc creation. In this article we add two Copilot Studio Agents, packaged in the GitHub repository Microsoft Azure AI for Operation Framework, designed to be deployed in a dedicated subscription (e.g., OpenAI-CoreIntegration): Copilot FinOps Agent – interactive cost & usage analysis Copilot Update Manager Agent – interactive patch status & one-time updates Architecture Copilot FinOps Agent A Copilot Studio agent that lets stakeholders chat in natural language to retrieve, compare, and summarise cost data—without leaving Teams. Dataflow # Stage Description Initial Trigger User message (Teams / Copilot Studio web) invoke topic The conversation kicks off the topic “Analyze Azure Costs”. 1 Pre-Processing Power Automate flow captures tenant ID, subscription filters, date range. 2 Cost Query Azure Cost Management APIs pull actual and previous spend, returning JSON rows (service name, cost €). 3 OpenAI Analysis Data is analyzed by OpenAI\Copilot Agent following the flow structure. 4 Response Formatting Copilot Studio flow format the output as a table. 5 Chat Reply Copilot agent posts the insight list. Users can ask any kind of question related the FinOps topic. Components Microsoft Copilot Studio (Developer licence) – low-code agent designer Power Automate Premium – orchestrates REST calls, prompt assembly, file handling Azure Cost Management + Billing – source of spend data (Rest API) Azure OpenAI Service – GPT-4o and o3-mini reasoning & text generation Microsoft Teams – chat surface for Q&A, cards, and adaptive actions Potential use cases Finance teams asking “Why did VM spend jump last week?” Engineers requesting a monthly cost overview before sprint planning Leadership dashboards that can be drilled into via natural-language chat Copilot Update Manager Agent A Copilot Studio agent that surfaces patch compliance and can trigger ad-hoc One-Time Updates for selected VMs directly from the chat. Dataflow # Stage Description Initial Trigger User message (Teams / Copilot Studio web) invoke topic. The conversation kicks off the topic “Analyze Azure Costs”. 1 Pre-Processing Flow validates RBAC and captures target scope (subscription / RG / VM). 2 Patch Status Query Azure Update Manager & Resource Graph query patchassessmentresources for KBs, severities, pending counts. 3 OpenAI Report GPT-4o - o3-mini generates: • VM-level summary (English) • General Overview 4 Adaptive Card Power Automate builds an Adaptive Card listing non-compliant VMs with “One-time Update”- "No action" buttons. 5a User Action – Review User inspects details or asks follow-up questions. 5b User Action – Patch Now Clicking One-time Update calls Update Manager REST API to start a One-Time Update job. 6 Confirmation Agent posts job ID, live status, and final success / error summary. Components Microsoft Copilot Studio – conversational front-end Power Automate Premium – API orchestration & status polling Azure Update Manager – compliance data & patch execution Azure OpenAI Service – explanation & remediation text Microsoft Teams – Adaptive Cards with action buttons Potential use cases Service owners getting a daily compliance digest with the ability to remediate on demand Security officers validating zero-day patch rollout status via chat Help-desk agents triaging “Is VM X missing critical updates?” without opening the Azure portal Prerequisites Resource Quantity Notes Copilot Studio Developer licence 1 Assign in Microsoft 365 Admin Center Power Automate Premium licence 1 user Needed for HTTP, Azure AD, OpenAI connectors Microsoft Teams 1 user Chat interface Azure subscription 1 Dedicated OpenAI-CoreIntegration recommended GitHub repo latest Microsoft Azure AI for Operation Framework Copilot Agent Copilot Studio User Experience Deployment steps (high level) Assign licences – Copilot Studio Developer + Power Automate Premium Create Copilot Studio Agent New Agent → Skip to configure → fill basics → Create → Settings → disable GenAI orchestration Import topics Copilot topic Update Manager (link to configuration file) Copilot topic FinOps (link to configuration file) Publish & share the agent to Teams. Verify permission scopes for Cost Management and Update Manager APIs. Start chatting! Feel free to clone the GitHub repo, adapt the topics to your tag taxonomy or FinOps dashboard structure, and let us know in the comments how Copilot Agents are transforming your operational workflows and... Stay Tuned for the next updates! Contributors Principal authors Tommaso Sacco | Cloud Solutions Architect Simone Verza | Cloud Solution Architect Special thanks Carmelo Ferrara | Director CSA Antonio Sgrò | Sr CSA Manager Marco Crippa | Sr CSA ManagerBoosting Productivity with Ansys RedHawk-SC and Azure NetApp Files Intelligent Data Infrastructure
Discover how integrating Ansys Access with Azure NetApp Files (ANF) is revolutionizing cloud-based engineering simulations. This article reveals how organizations can harness enterprise-grade storage performance, seamless scalability, and simplified deployment to supercharge Ansys RedHawk-SC workloads on Microsoft Azure. Unlock faster simulations, robust data management, and cost-effective cloud strategies—empowering engineering teams to innovate without hardware limitations. Dive in to learn how intelligent data infrastructure is transforming simulation productivity in the cloud!
Pre-Migration Vulnerability Scans:
Migrating applications to the cloud or modernizing infrastructure requires thorough preparation. Whether it’s a cloud platform, a new data center, or a hybrid infrastructure — is a complex process. While organizations focus on optimizing performance, costs, and scalability, security often takes a backseat, leading to potential risks post-migration. One crucial step before migration is conducting a pre-migration scan to identify security vulnerabilities, licensing risks, and code quality issues. Several tools help in pre-migration scanning, including Blackduck, Coverity, Gitleaks, and Semgrep. In this article, we will explore the role of these tools in migration readiness. Why Perform a Pre-Migration Scan? When an application moves from an on-premises environment to the cloud, it interacts with new infrastructures, security models, and compliance regulations. Security scanning tools analyze various aspects of an application, including: Source Code: Detects insecure coding practices, injection vulnerabilities, and logic flaws. Third-Party Dependencies: Identifies vulnerabilities in open-source libraries and software components. Secrets & Credentials: Scans for hardcoded passwords, API keys, and authentication tokens. Infrastructure as Code (IaC): Checks for misconfigurations in Terraform, Kubernetes, Docker, and cloud resources. Compliance Risks: Ensures adherence to security standards like SOC 2, GDPR, HIPAA, and NIST. A pre-migration scan helps in: Identifying Security Vulnerabilities — Detecting potential security threats before moving to the cloud. Ensuring License Compliance — Avoiding open-source license violations. Code Quality Assurance — Identifying issues that could lead to performance degradation post-migration. Reducing Migration Risks — Understanding potential blockers early in the process. Optimizes Performance: Detecting inefficiencies early reduces technical debt. What to use? One of the biggest challenges organizations face during migration is understanding where vulnerabilities exist within their application. This is where scanning tools come into play, each addressing a specific aspect of security and compliance. Take BlackDuck, for instance. Many applications rely on open-source components, but these dependencies come with risks. BlackDuck helps teams analyze these libraries, identifying outdated dependencies and ensuring compliance with licensing policies. If an application heavily relies on open-source libraries, it should be prioritized to check for outdated or vulnerable dependencies. Key Features: Detects Open-Source Vulnerabilities: Identifies known CVEs (Common Vulnerabilities and Exposures) in third-party libraries. License Compliance Management: Ensures adherence to open-source licenses like GPL, MIT, Apache, etc. Integration with DevOps: Works seamlessly with CI/CD pipelines to automate security checks. Then there’s Coverity, which tackles security flaws hidden in the source code. A migration process should not only move applications but also ensure they are stable and secure in the new environment. Coverity, a Static Application Security Testing (SAST) tool, scans code for potential weaknesses — whether it’s SQL injection, cross-site scripting (XSS), or memory leaks. By fixing these defects before migration, teams can prevent costly failures post-deployment. Key Features: Deep Code Analysis: Identifies issues such as buffer overflows, SQL injection, cross-site scripting (XSS), and memory leaks. Supports Multiple Languages: Works with C, C++, Java, JavaScript, Python, Go, and more. Seamless CI/CD Integration: Can be integrated into GitHub, GitLab, and Azure DevOps workflows. Another key concern is secrets management. Hardcoded API keys, passwords, and tokens often find their way into repositories, creating a massive security risk. Gitleaks scans Git repositories to detect and eliminate these vulnerabilities before they can be exploited. Imagine pushing an application to the cloud, only to realize that an exposed API key is granting unauthorized access to critical services. By integrating Gitleaks into the pre-migration process, organizations can avoid such missteps. Key Features: Scans for Hardcoded Secrets: Detects sensitive information in commits, branches, and history. Pre-Commit Hooks: Prevents secrets from being pushed to Git repositories. Customizable Rulesets: Allows teams to define their own secret detection policies. Compatible with GitHub & GitLab: Easily integrates with popular version control platforms. Finally, Semgrep provides a flexible approach to enforcing security best practices. Unlike traditional scanning tools, it allows teams to define custom security rules to catch coding patterns that may lead to vulnerabilities. Whether it’s identifying misconfigurations or enforcing secure coding standards, Semgrep adds an extra layer of protection, ensuring applications follow best practices before going live in the cloud. Comparing the Tools: Tool Primary Use Case Best for CI/CD Integration BlackDuck Open-source security & license compliance Dependency scanning Yes Coverity Static code analysis Code vulnerabilities Yes Gitleaks Secret & credential scanning Preventing secret leaks Yes Semgrep Customizable code analysis Secure coding & policy enforcement Yes Intergration with the code: Automation is key to ensuring that security scans are not overlooked or treated as one-time activities. To streamline the process, organizations integrate these scanning tools directly into their Continuous Integration/Continuous Deployment (CI/CD) pipeline, ensuring security checks are part of every development cycle. A typical setup involves defining a pipeline configuration that automates the execution of each tool at various stages: Once the scans are complete, the results are typically stored as JSON reports in pipeline artifacts or logging systems, making it easy to track, analyze, and prioritize issues before proceeding with the migration. By integrating these tools into the CI/CD pipeline, security becomes an automated and continuous process, rather than a last-minute checkpoint. Challenges in Pre-Migration Security Scanning False Positives: Some tools generate excessive alerts, requiring manual verification. Lack of Security Awareness: Developers may not be trained to interpret scan results effectively. Integration with DevOps: Security scans must fit into existing CI/CD pipelines without slowing down deployments. Handling Legacy Code: Older applications may contain security issues that modern tools struggle to assess. Conclusion By proactively addressing these challenges and incorporating security scanning into the migration strategy, organizations can minimize risks and ensure a smooth, secure transition to their new environment. However, scanning alone is not enough. Following best practices — such as defining a security baseline, automating security checks in CI/CD pipelines, prioritizing remediation, and securing the migration process — ensures a smooth, risk-free transition. A secure migration is not just about moving workloads; it’s about ensuring that security remains a top priority at every stage. By taking a proactive security approach, organizations can prevent security incidents before they happen, making the migration process safer, smoother, and more resilient.Azure VMware Solution now available in Korea Central
We are pleased to announce that Azure VMware Solution is now available in Korea Central. Now in 34 Azure regions, Azure VMware Solution empowers you to seamlessly extend or migrate existing VMware workloads to Azure without the cost, effort or risk of re-architecting applications or retooling operations. Azure VMware Solution supports: Rapid cloud migration of VMware-based workloads to Azure without refactoring. Datacenter exit while maintaining operational consistency for the VMware environment. Business continuity and disaster recovery for on-premises VMware environments. Attach Azure services and innovate applications at your own pace. Includes the VMware technology stack and lets you leverage existing Microsoft licenses for Windows Server and SQL Server. For updates on current and upcoming region availability, visit the product by region page here. Streamline migration with new offers and licensing benefits, including a 20% discount. We recently announced the VMware Rapid Migration Plan, where Microsoft provides a comprehensive set of licensing benefits and programs to give you price protection and savings as you migrate to Azure VMware Solution. Azure VMware Solution is a great first step to the cloud for VMware customers, and this plan can help you get there. Learn More
