Calendário- Project Web e Planner
Sou novo na utilização do Project WEB e estou com dificuldades para encontrar o calendário e incluir feriados, por se tratar de Project WEB o calendário atribuído ao recursos é herdado do calendário do Outlook Geral ou individual por membro de equipe que participa do projeto, como configurar os feriados no calendário, ou criar um novo calendário?Step-by-step: Integrate Ollama Web UI to use Azure Open AI API with LiteLLM Proxy
Introductions Ollama WebUI is a streamlined interface for deploying and interacting with open-source large language models (LLMs) like Llama 3 and Mistral, enabling users to manage models, test them via a ChatGPT-like chat environment, and integrate them into applications through Ollama’s local API. While it excels for self-hosted models on platforms like Azure VMs, it does not natively support Azure OpenAI API endpoints—OpenAI’s proprietary models (e.g., GPT-4) remain accessible only through OpenAI’s managed API. However, tools like LiteLLM bridge this gap, allowing developers to combine Ollama-hosted models with OpenAI’s API in hybrid workflows, while maintaining compliance and cost-efficiency. This setup empowers users to leverage both self-managed open-source models and cloud-based AI services. Problem Statement As of February 2025, Ollama WebUI, still do not support Azure Open AI API. The Ollama Web UI only support self-hosted Ollama API and managed OpenAI API service (PaaS). This will be an issue if users want to use Open AI models they already deployed on Azure AI Foundry. Objective To integrate Azure OpenAI API via LiteLLM proxy into with Ollama Web UI. LiteLLM translates Azure AI API requests into OpenAI-style requests on Ollama Web UI allowing users to use OpenAI models deployed on Azure AI Foundry. If you haven’t hosted Ollama WebUI already, follow my other step-by-step guide to host Ollama WebUI on Azure. Proceed to the next step if you have Ollama WebUI deployed already. Step 1: Deploy OpenAI models on Azure Foundry. If you haven’t created an Azure AI Hub already, search for Azure AI Foundry on Azure, and click on the “+ Create” button > Hub. Fill out all the empty fields with the appropriate configuration and click on “Create”. After the Azure AI Hub is successfully deployed, click on the deployed resources and launch the Azure AI Foundry service. To deploy new models on Azure AI Foundry, find the “Models + Endpoints” section on the left hand side and click on “+ Deploy Model” button > “Deploy base model” A popup will appear, and you can choose which models to deploy on Azure AI Foundry. Please note that the o-series models are only available to select customers at the moment. You can request access to the o-series models by completing this request access form, and wait until Microsoft approves the access request. Click on “Confirm” and another popup will emerge. Now name the deployment and click on “Deploy” to deploy the model. Wait a few moments for the model to deploy. Once it successfully deployed, please save the “Target URI” and the API Key. Step 2: Deploy LiteLLM Proxy via Docker Container Before pulling the LiteLLM Image into the host environment, create a file named “litellm_config.yaml” and list down the models you deployed on Azure AI Foundry, along with the API endpoints and keys. Replace "API_Endpoint" and "API_Key" with “Target URI” and “Key” found from Azure AI Foundry respectively. Template for the “litellm_config.yaml” file. model_list: - model_name: [model_name] litellm_params: model: azure/[model_name_on_azure] api_base: "[API_ENDPOINT/Target_URI]" api_key: "[API_Key]" api_version: "[API_Version]" Tips: You can find the API version info at the end of the Target URI of the model's endpoint: Sample Endpoint - https://example.openai.azure.com/openai/deployments/o1-mini/chat/completions?api-version=2024-08-01-preview Run the docker command below to start LiteLLM Proxy with the correct settings: docker run -d \ -v $(pwd)/litellm_config.yaml:/app/config.yaml \ -p 4000:4000 \ --name litellm-proxy-v1 \ --restart always \ ghcr.io/berriai/litellm:main-latest \ --config /app/config.yaml --detailed_debug Make sure to run the docker command inside the directory where you created the “litellm_config.yaml” file just now. The port used to listen for LiteLLM Proxy traffic is port 4000. Now that LiteLLM proxy had been deployed on port 4000, lets change the OpenAI API settings on Ollama WebUI. Navigate to Ollama WebUI’s Admin Panel settings > Settings > Connections > Under the OpenAI API section, write http://127.0.0.1:4000 as the API endpoint and set any key (You must write anything to make it work!). Click on “Save” button to reflect the changes. Refresh the browser and you should be able to see the AI models deployed on the Azure AI Foundry listed in the Ollama WebUI. Now let’s test the chat completion + Web Search capability using the "o1-mini" model on Ollama WebUI. Conclusion Hosting Ollama WebUI on an Azure VM and integrating it with OpenAI’s API via LiteLLM offers a powerful, flexible approach to AI deployment, combining the cost-efficiency of open-source models with the advanced capabilities of managed cloud services. While Ollama itself doesn’t support Azure OpenAI endpoints, the hybrid architecture empowers IT teams to balance data privacy (via self-hosted models on Azure AI Foundry) and cutting-edge performance (using Azure OpenAI API), all within Azure’s scalable ecosystem. This guide covers every step required to deploy your OpenAI models on Azure AI Foundry, set up the required resources, deploy LiteLLM Proxy on your host machine and configure Ollama WebUI to support Azure AI endpoints. You can test and improve your AI model even more with the Ollama WebUI interface with Web Search, Text-to-Image Generation, etc. all in one place.
Microsoft's Verification and Support System
Microsoft's verification and support system is absolutely appalling. Despite providing every piece of required information for my company, their system continues to reject my verification attempts. I've gone above and beyond by paying extra to create additional email accounts in the format email address removed for privacy reasons. I've submitted QR-coded invoices officially verified by government authorities. Our WHOIS data is current and accurate. My name matches perfectly across all documentation and our DUNS number is correct. Yet, I keep receiving the same frustrating response: "This is because the primary contact details did not match." When I reach out through their official support channels, it takes them five days just to respond. It's been two months now, and I'm still waiting for approval just to register. It's absurd that such a large company maintains such a disastrous system. All they need to do is verify real users directly without relying on AI algorithms. They're so focused on automating everything with artificial intelligence that they've created a dysfunctional process. Despite all their technology, humans still remain superior at handling these verification tasks, yet Microsoft seems determined to automate a process they haven't properly designed.
Navigating how to map your AWS region strategy to Azure
If you're working on replicating an AWS-based app in Azure, region selection isn't just a checkbox—it affects availability, latency, service support, and overall performance. Azure's infrastructure model has some key differences from AWS (like region pairs and selective AZ support), and understanding them early can save you time and frustration. The latest article, in the series of migrating from AWS to Azure, covers a solid technical break down of how to align your AWS region strategy with Azure—including guidance on high availability, service availability, network performance, and cost optimization. 🔗 Read the full blog here: Expanding the multicloud advantage: Picking the right Azure regions for AWS developers Whether you’re deep into migration or just scoping out what multicloud looks like, this guide covers the essentials with a developer-first lens.
Securing VNet-Integrated Azure Functions with Blob Triggers: Private Endpoints and No Public Access
Azure Blob Trigger in Azure Functions enables automatic function invocation based on changes in Blob Storage, streamlining serverless integration with cloud storage. To ensure reliability, it handles failures by using poison blob queues and configurable retry mechanisms.How Nonprofits Can Manage Their Cost in Azure
Nonprofits face a unique challenge of having to find ways to reduce operational costs as well as finding new funding streams. Thus, having to measure, reduce, manage, and tighten their belts to keep within budget. Add to that pricing, software and services, then you have a recipe for costs to get out of control. Microsoft does offer a grants and discounts to nonprofit organizations. However, even with those generous offers, nonprofits need to have extra tools to help manage costs. Don't worry, we got you covered. In this blog we will be able share some tips and strategies that nonprofits can use to effectively manage their costs in Azure. Leverage Azure Grants and Discounts Microsoft offers significant grants and discounts to eligible nonprofits. For instance, nonprofits can receive up to $2,000 in Azure credits annually. These grants can be used to offset the cost of various Azure services, making it more affordable for nonprofits to leverage the power of the cloud. To learn more how you can get started with claiming your Azure sponsorship credits learn more here: Claiming Azure Credits | Microsoft Community Hub. Things to Consider Move older servers to Azure to save money Utilize Hybrid Azure Benefit Take advantage of your Support plan Optimize your resources Implement cost management policies for your subscriptions Optimize Resource Usage One of the key takeaways to manage costs in Azure is by optimizing resource usage. This involves regularly monitoring and analyzing your cloud usage to identify underutilized resources. Azure provides tools like Azure Cost Management and Azure Advisor, which offer insights and recommendations on how to optimize your resources and reduce costs. Azure Advisor provides advice to help in the five categories of your Azure subscription: Azure Advisor Categories Reliability: Ensures your Azure services are reliable and available by providing recommendations for improving fault tolerance and disaster recovery. Security: Offers guidance on securing your Azure resources, including identity management, network security, and data protection. Performance: Provides recommendations to enhance the speed and efficiency of your Azure applications and services, ensuring optimal performance. Costs: Helps you manage and reduce Azure expenditures through cost-saving strategies and resource optimization suggestions. Operational Excellence: Focuses on best practices for managing and monitoring Azure environments to achieve smooth and efficient operations. Azure Advisor provides suggestions for managing underutilized resources and shows their effects on your subscription. If your virtual machines are not being used to their full potential, you can adjust them to minimize resource waste. Moreover, using Azure Advisor alongside Cost Management tools can improve your team’s productivity and get a bird’s eye view on your budgets. Implement Cost Management Policies Setting up cost management policies can help nonprofits keep their cloud spending in check. Azure allows you to set budgets and alerts, ensuring that you are notified when your spending approaches or exceeds your budget. This proactive approach helps in avoiding unexpected costs and staying within your financial limits. Cost Management Features Create budgets Get forecast estimates Create alerts Get reports & analysis Use Reserved Instances Albeit nonprofits may not be able to receive the discount that reserved instances provide if they have an Azure Sponsored subscription. If you have predictable workloads, using Azure Reserved Instances can lead to significant cost savings. By committing to a one- or three-year term, nonprofits can save up to 72% compared to pay-as-you-go pricing. This is particularly beneficial for organizations that have steady, ongoing cloud usage. There will be times when you will need to weigh in your options. Using the Azure Pricing calculator can help build estimates to see what may be more charitable to your workload. Take Advantage of Free Services That's right, you heard me say free. There are some services that are always free and trials. Azure offers a range of free services that nonprofits can take advantage of. These include free tiers of popular services like Azure App Service, Azure Functions, and Azure DevOps. Utilizing these free services can help nonprofits reduce their overall cloud expenditure while still benefiting from Azure's capabilities. FREE Azure Services 12 Month Services free 55 Services that are always free Free trials for multiple services in Azure . Regularly Review and Adjust Cost management is an ongoing process. Nonprofits should regularly review their Azure usage and costs, making adjustments as needed. This might involve scaling down resources during off-peak times, switching to more cost-effective services, or taking advantage of new Azure offerings and discounts. Conclusion By leveraging grants and discounts, optimizing resource usage, implementing cost management policies, using reserved instances, taking advantage of free services, and regularly reviewing and adjusting their cloud strategy, nonprofits can effectively manage their costs in Azure. These strategies not only help in reducing expenses but also ensure that nonprofits can continue to focus on their mission without financial constraints. Hyperlinks Claiming Azure Credits | Microsoft Community Hub Azure Benefits and incentives | Microsoft Azure Nonprofit FAQ | Microsoft Nonprofits Free Azure Services | Microsoft Azure
Unlocking Financial Insights with Dynamics 365 Finance: A Guide for Nonprofits
Today nonprofits face unique challenges in managing their finances efficiently while maximizing their impact. Dynamics 365 Finance offers powerful tools to help organizations gain deeper insights into their financial operations. This blog explores how nonprofits can leverage Finance insights in Dynamics 365 Finance to enhance their financial management and drive greater impact. Understanding Finance Insights in Dynamics 365 Finance Finance insights in Dynamics 365 Finance is an intelligent tool that uses AI to handle customer payments, predict future cash flows, and generate budget proposals. By leveraging AI Builder, Finance insights create predictive models that provide accurate projections, helping organizations make better decisions. Key Components of Finance Insights Customer Payment Predictions: This feature uses machine learning to predict when customers are likely to pay their outstanding invoices. It helps organizations manage cash flow more effectively by anticipating payment timelines. Cash Flow Forecasting: Finance insights can generate accurate and editable cash flow forecasts based on historical data. This allows nonprofits to plan their finances better and ensure they have sufficient funds to support their activities. Budget Proposals: By analyzing historical budget and actuals data, Finance insights can create intelligent budget proposals. This speeds up the budgeting process and ensures that budgets are based on reliable data. Steps to Get Started with Finance Insights Configure Finance Insights: Begin by configuring the Finance insights add-in in your Dynamics 365 Finance environment. This involves setting up the necessary system requirements and ensuring you have historical data for accurate model training. Create a Data Integrator Project: Set up a data integrator project to ensure that data generated by the machine learning model flows seamlessly into Dynamics 365 Finance. Enable Finance Insights Capabilities: Once configured, enable the specific capabilities you plan to use, such as customer payment predictions, cash flow forecasting, and budget proposals. Practical Applications for Nonprofits Nonprofits can leverage Finance insights in several ways to enhance their financial management: Improved Cash Flow Management: By predicting customer payment timelines, nonprofits can better manage their cash flow, ensuring they have the funds needed to support their programs and initiatives. Efficient Budgeting: Intelligent budget proposals based on historical data can streamline the budgeting process, allowing nonprofits to allocate resources more effectively. Enhanced Financial Planning: Accurate cash flow forecasts enable nonprofits to plan their finances with greater precision, reducing the risk of financial shortfalls. Real-World Examples Nonprofits around the world are already benefiting from Dynamics 365 Finance. For instance, organizations are using AI-driven insights to improve donation management, track volunteer activities, and increase transparency in their operations By integrating Finance insights, these nonprofits can further enhance their financial management and drive greater impact. Conclusion Finance insights in Dynamics 365 Finance offers nonprofits a powerful tool to manage their finances more effectively. By leveraging AI-driven predictive models, organizations can gain deeper insights into their financial operations, improve cash flow management, streamline budgeting, and enhance overall financial planning. As nonprofits continue to navigate the complexities of financial management, Finance insights provide a valuable resource to help them achieve their mission and maximize their impact. Visit these websites for more: Get started with Finance insights in Dynamics 365 Finance Finance insights home page - Finance | Dynamics 365 How Non-Profit Industries are Leveraging Dynamics 365Enhancing Commerce Operations with Microsoft Copilot in Dynamics 365 Commerce: Guide for Nonprofits
In the competitive world of commerce, leveraging advanced technologies can significantly enhance operational efficiency and customer experience. Microsoft Copilot, integrated with Dynamics 365 Commerce, offers powerful AI-driven capabilities to streamline commerce operations and drive business value. This blog explores how nonprofits can utilize Microsoft Copilot to enrich their commerce operations, drawing insights from the comprehensive learning module on Microsoft Learn. Understanding Microsoft Copilot in Dynamics 365 Commerce Microsoft Copilot is an AI-powered assistant designed to enhance various aspects of commerce operations. It helps organizations create content quickly, align marketing efforts with target audiences, and achieve higher conversion rates with less effort. By integrating Copilot into Dynamics 365 Commerce, nonprofits can leverage these capabilities to improve their e-commerce strategies and operational efficiency, Key Capabilities of Microsoft Copilot Content Creation: Copilot assists in generating market content that aligns with the organization's brand tone and target audience. This helps merchandisers create engaging content quickly and efficiently, Enhanced Customer Experience: By using AI to analyze customer data and preferences, Copilot can help tailor the shopping experience to individual customers, improving satisfaction and loyalty. Operational Efficiency: Copilot automates routine tasks, such as updating product descriptions and managing inventory, allowing staff to focus on more strategic activities. Steps to Implement Microsoft Copilot Set Up Copilot: Begin by configuring Copilot in your Dynamics 365 Commerce environment. This involves ensuring you have the necessary system requirements and administrator access to the Azure portal. Enable Copilot Features: Turn on the specific Copilot features you plan to use, such as content creation and customer insights. Integrate with E-commerce Site Builder: Use Copilot with the e-commerce site builder to streamline the creation and management of your online store. Practical Applications for Nonprofits Nonprofits can leverage Microsoft Copilot in several ways to enhance their commerce operations: Improved Fundraising Campaigns: Use Copilot to create compelling content for fundraising campaigns, ensuring that messages resonate with donors and drive engagement. Personalized Donor Experience: Tailor the online donation process to individual donors, providing a personalized experience that encourages repeat donations. Efficient Resource Management: Automate inventory management for merchandise sales, ensuring that products are always in stock and available for supporters. Enhanced Volunteer Coordination: Use AI-driven insights to manage volunteer sign-ups and schedules, ensuring that events are well-staffed and run smoothly. Real-World Examples Nonprofits around the world are already benefiting from the advanced capabilities of Microsoft Copilot. For instance, organizations are using AI to improve donor engagement, streamline operations, and enhance the overall supporter experience. By integrating Copilot, these nonprofits can further optimize their commerce operations and drive greater impact. Challenges in Adopting Microsoft Copilot for Nonprofits Microsoft Copilot offers powerful AI-driven capabilities that can significantly enhance productivity and streamline operations. However, nonprofits may face several challenges when adopting this technology. Understanding these challenges and how to address them can help organizations make the most of Copilot's potential. 1. Data Privacy and Security Challenge: Nonprofits often handle sensitive data, including donor information and beneficiary details. Ensuring the privacy and security of this data is paramount. Copilot processes and analyzes data, which raises concerns about data breaches and unauthorized access. Solution: Implement robust security measures, such as encryption and secure authentication protocols. Familiarize yourself with Microsoft Copilot’s privacy protections and data handling protocols to ensure compliance with data protection regulations. 2. Cost and Licensing Challenge: The cost of licensing Copilot can be a barrier for nonprofits, especially smaller organizations with limited budgets. Currently, there is no nonprofit-specific pricing or discounting available for Copilot licenses. Solution: Carefully assess the cost-benefit ratio of implementing Copilot. Consider starting with a small number of licenses and gradually expanding as the benefits become clear. Explore potential funding opportunities or grants that may help cover the costs. 3. Integration with Existing Systems Challenge: Integrating Copilot with existing systems and workflows can be complex. Nonprofits may face difficulties in ensuring seamless integration with their current technology stack. Solution: Work closely with IT professionals to plan and execute the integration process. Utilize Microsoft’s resources and support to ensure compatibility and smooth implementation. Conduct thorough testing to identify and resolve any integration issues. 4. Training and Adoption Challenge: Staff may require training to effectively use Copilot. Resistance to change and lack of familiarity with AI tools can hinder adoption. Solution: Invest in comprehensive training programs to help staff understand and utilize Copilot’s features. Foster a culture of innovation and openness to new technologies. Highlight the benefits of Copilot in improving efficiency and reducing workload to encourage adoption. 5. Ethical and Compliance Concerns Challenge: The use of AI in decision-making processes can raise ethical and compliance concerns. Ensuring that AI tools are used responsibly and ethically is crucial. Solution: Develop and implement an AI ethics policy that outlines the principles and guidelines for using AI within the organization. Ensure transparency in AI decision-making processes and regularly review AI applications for bias and fairness. 6. Over-Reliance on AI Challenge: There is a risk of becoming overly reliant on AI-generated insights, which can diminish critical thinking and decision-making capabilities among staff. Solution: Maintain a balance between AI and human judgment. Use AI as a tool to augment, not replace, human decision-making. Encourage staff to critically evaluate AI-generated insights and validate them with their expertise. Conclusion Microsoft Copilot in Dynamics 365 Commerce offers nonprofits a powerful tool to enhance their commerce operations. By leveraging AI-driven insights and automation, organizations can improve content creation, enhance customer experiences, and streamline operational tasks. The learning module on Microsoft Learn provides a comprehensive guide to help nonprofits navigate this journey, offering valuable insights and practical strategies for successful implementation. For more click this link: Work with Copilot to enrich commerce operations in Dynamics 365 CommerceAzure Policy: Building Custom Policies for Standards and Compliance
The Importance of Data Protection Regulations Regulations such as the General Data Protection Regulation (GDPR), Protected Health Information (PHI) standards, Personally Identifiable Information (PII) safeguards, and the Health Insurance Portability and Accountability Act (HIPAA) play a critical role in ensuring organizations maintain the privacy and security of sensitive data. These frameworks are designed to provide a structured approach to data governance, giving organizations clear guidelines on handling, storing, and sharing information. For nonprofits, the stakes are particularly high as they often manage a wealth of sensitive information, including donor PII, health-related PHI, or other regulated data types. Noncompliance with these regulations can result in severe financial penalties, loss of donor trust, and reputational damage—effects that are particularly devastating for resource-limited organizations dependent on public goodwill. The Growing Threat Landscape In an era marked by heightened cyber threats, including ransomware and Business Email Compromise (BEC) attacks, the importance of safeguarding sensitive data cannot be overstated. Ransomware attacks have surged in recent years, targeting organizations of all sizes and sectors, including nonprofits. These attacks often result in the encryption of critical data, with attackers demanding substantial payouts for its release. Similarly, BEC involves deceptive tactics such as phishing or spoofed emails to gain access to sensitive systems, commit fraud, or steal funds. The cost of these breaches is not just monetary—it also erodes organizational credibility and causes irreversible harm to relationships with donors, stakeholders, and beneficiaries. For nonprofits handling sensitive data, such as donor financial information or healthcare records, the implications can be catastrophic. Proactive Measures for Data Safeguarding To combat these threats and remain compliant with regulations, nonprofits must adopt a proactive approach to data protection. Custom Azure policies can play a pivotal role here by enabling the enforcement of tailored security measures. For instance, policies can be designed to automatically encrypt data at rest and in transit, restrict access to authorized personnel only, and enforce multi-factor authentication (MFA) to secure account logins. Moreover, organizations should implement robust training programs to raise staff awareness about phishing, ransomware, and other cybersecurity threats. By combining technology solutions with human vigilance, nonprofits can significantly reduce their exposure to malicious activities. Benefits for Nonprofits By implementing custom Azure policies, nonprofits can: Ensure Donor Trust: Maintain data residency and encryption standards to protect sensitive donor information. Optimize Costs: Restrict VM sizes or resource types to prevent unnecessary expenditures. Streamline Audits: Demonstrate compliance with organizational and regulatory policies through Azure’s built-in reporting tools. Enhance Governance: Align cloud practices with your nonprofit’s mission and values. Custom Azure Policies for Nonprofits Custom Azure Policies can greatly enhance security, compliance, and efficiency in your cloud environment. Below are practical examples tailored specifically to nonprofits, showcasing how policies can be proactively applied: 1. Data Encryption Policies Encrypt Storage Accounts at Rest This policy ensures all new and existing Azure Storage accounts have encryption at rest enabled. Azure Storage automatically encrypts data, but this policy ensures consistency and compliance across the board. Use Case: Ensuring donor information or sensitive documents are always securely stored. Require Secure Transfer for Storage Accounts This policy mandates all data transactions with Azure Storage accounts must occur over HTTPS, enforcing secure data transfer and protecting sensitive data in transit. Use Case: Preventing unauthorized data interception during uploads or downloads. 2. Access Control and Authentication Policies Enforce Multi-Factor Authentication (MFA) via Microsoft Entra ID Conditional Access This policy ensures all users accessing your nonprofit’s Azure resources must use MFA, significantly reducing the risk of compromised accounts. Use Case: Securing critical administrative accounts and volunteer logins from unauthorized access. Restrict Role Assignments (Least Privilege Principle) Ensures users and service accounts have the minimal necessary privileges. It restricts high-level roles (like Owner or Contributor) from being broadly assigned. Use Case: Protecting your cloud environment from accidental or malicious changes. 3. Resource Deployment Restriction Policies Allowed Locations Policy Restricts resource creation to specific Azure regions or locations, aligning deployments with compliance regulations or cost considerations. Use Case: Ensuring data residency compliance by keeping sensitive data in approved geographic locations. 4. Tagging Enforcement Policies Require Specific Tags (e.g., Department or Owner) Mandates tagging of all Azure resources with essential organizational metadata such as department, owner, or cost center. Use Case: Facilitating easy cost tracking, resource organization, and accountability within your nonprofit. Auto-Inherit Tags from Resource Group Automatically applies tags from resource groups to resources created within them, ensuring consistency without manual effort. Use Case: Simplifying tag management, particularly useful in large projects or across multiple teams. 5. Audit Logging and Monitoring Policies Enable Diagnostic Logging Automatically configures diagnostic logging for critical Azure resources (VMs, databases, Key Vault), sending logs to a centralized storage or Log Analytics workspace. Use Case: Providing essential visibility into activities, simplifying compliance audits, and speeding incident response. Enable Azure Defender on Critical Resources Ensures Azure Defender (part of Microsoft Defender for Cloud) is enabled for vital resources, providing real-time threat detection and security recommendations. Use Case: Identifying and mitigating potential threats early, critical for nonprofits lacking dedicated cybersecurity teams. 6. Backup and Disaster Recovery Policies Ensure Azure Backup for Virtual Machines Requires Azure Backup is configured for all virtual machines, preventing data loss from accidental deletion or corruption. Use Case: Guaranteeing critical services and data (financial records, donor databases) are protected from unexpected incidents. Implement Disaster Recovery with Azure Site Recovery Ensures Azure Site Recovery (ASR) is set up for essential workloads to provide quick recovery during outages or disasters. Use Case: Maintaining operational continuity for essential services like public-facing websites or databases containing sensitive data. Conclusion Azure Policy empowers nonprofits to effortlessly align their cloud environments with critical compliance standards, data protection guidelines, and cost management strategies. By proactively adopting and customizing Azure Policies—such as enforcing encryption, strengthening access control, restricting resource deployment, ensuring comprehensive tagging, and mandating audit logging and backups—nonprofits can mitigate risks, optimize resources, and maintain donor trust. Leveraging Azure Policy isn't just about achieving compliance; it's about unlocking peace of mind, enabling your organization to dedicate more resources and attention to the impactful work that truly matters. Hyperlinks What is Azure role-based access control (Azure RBAC)? | Microsoft Learn Azure Storage encryption for data at rest | Microsoft Learn Require secure transfer to ensure secure connections - Azure Storage | Microsoft Learn Cloud apps, actions, and authentication context in Conditional Access policy - Microsoft Entra ID | Microsoft Learn Index of Azure Policy built-in definitions and initiatives - Azure Policy | Microsoft Learn Details of Azure Policy definition structure basics - Azure Policy | Microsoft Learn Diagnostic settings in Azure Monitor - Azure Monitor | Microsoft Learn Microsoft Defender for Cloud Overview - Microsoft Defender for Cloud | Microsoft Learn What is Azure Backup? - Azure Backup | Microsoft Learn About Azure Site Recovery - Azure Site Recovery | Microsoft Learn
