Empower Smarter AI Agent Investments
This curated series of modules is designed to equip technical and business decision-makers, including IT, developers, engineers, AI engineers, administrators, solution architects, business analysts, and technology managers, with the practical knowledge and guidance needed to make cost-conscious decisions at every stage of the AI agent journey. From identifying high-impact use cases and understanding cost drivers, to forecating ROI, adopting best practices, designing scalable and effective architectures, and optimizing ongoing investments, this learning path provides actionable guidance for building, deploying, and managing AI agents on Azure with confidence. Whether you’re just starting your AI journey or looking to scale enterprise adoption, these modules will help you align innovation with financial discipline, ensuring your AI agent initiatives deliver sustainable value and long-term success. Discover the full learning path here: aka.ms/Cost-Efficient-AI-Agents Explore the sections below for an overview of each module included in this learning path, highlighting the core concepts, practical strategies, and actionable insights designed to help you maximize the value of AI agent investments on Azure: Module 1: Identify and Prioritize High-Impact, Cost-Effective AI Agent Use Cases The journey begins with a strategic approach to selecting AI agent use cases that maximize business impact and cost efficiency. This module introduces a structured framework for researching proven use cases, collaborating across teams, and defining KPIs to evaluate feasibility and ROI. You’ll learn how to target “quick wins” while ensuring alignment with organizational goals and resource constraints. Explore this module Module 2: Understand the Key Cost Drivers of AI Agents Building on the foundation of use case selection, Module 2 dives into the core cost drivers of AI agent development and operations on Azure. It covers infrastructure, integration, data quality, team expertise, and ongoing operational expenses, offering actionable strategies to optimize spending at every stage. The module emphasizes right-sizing resources, efficient data preparation, and leveraging Microsoft tools to streamline development and ensure sustainable, scalable success. Explore this module Module 3: Forecast the Return on Investment (ROI) of AI agents With a clear understanding of costs, the next step is to quantify value. Module 3 empowers both business and technical leaders with practical frameworks for forecasting and communicating ROI, even without a finance background. Through step-by-step guides and real-world examples, you’ll learn to measure tangible and intangible outcomes, apply NPV calculations, and use sensitivity analysis to prioritize AI investments that align with broader organizational objectives. Explore this module Module 4: Implement Best Practices to Empower AI Agent Efficiency and Ensure Long-Term Success To drive efficiency and governance at scale, Module 4 introduces essential frameworks such as the AI Center of Excellence (CoE), FinOps, GenAI Ops, the Cloud Adoption Framework (CAF), and the Well-Architected Framework (WAF). These best practices help organizations accelerate adoption, optimize resources, and foster operational excellence, ensuring AI agents deliver measurable value, remain secure, and support sustainable enterprise growth. Explore this module Module 5: Maximize Cost Efficiency by Choosing the Right AI Agent Development Approach Selecting the right development approach is critical for balancing speed, customization, and cost. In Module 5, you’ll learn how to align business needs and technical skills with SaaS, PaaS, or IaaS options, empowering both business users and developers to efficiently build, deploy, and manage AI agents. The module also highlights how Microsoft Copilot Studio, Visual Studio, and Azure AI Foundry can help your organization achieve its goals. Explore this module Module 6: Architect Scalable and Cost-Efficient AI Agent Solutions on Azure As your AI initiatives grow, architectural choices become paramount. Module 6 explores how to leverage Azure Landing Zones and reference architectures for secure, well-governed, and cost-optimized deployments. It compares single-agent and multi-agent systems, highlights strategies for cost-aware model selection, and details best practices for governance, tagging, and pricing, ensuring your AI solutions remain flexible, resilient, and financially sustainable. Explore this module Module 7: Manage and Optimize AI Agent Investments on Azure The learn path concludes with a focus on operational excellence. Module 7 provides guidance on monitoring agent performance and spending using Azure AI Foundry Observability, Azure Monitor Application Insights, and Microsoft Cost Management. Learn how to track key metrics, set budgets, receive real-time alerts, and optimize resource allocation, empowering your organization to maximize ROI, stay within budget, and deliver ongoing business value. Explore this module Ready to accelerate your AI agent journey with financial confidence? Start exploring the new learning path and unlock proven strategies to maximize the cost efficiency of your AI agents on Azure, transforming innovation into measurable, sustainable business success. Get started todayPublic network on NIC instead of domain network
On a Windows Server 2025 Standard Edition, I have 2 NICs: a 10Gbps NIC and 1Gbps NIC. Both NICs have a static IP address, but only the faster 10Gbps has a default gateway. The faster NIC correctly identifies as the domain network but the slower NIC says it is on a public network. The DNS settings and suffixes are the same for both cards. I have another Windows 2025 server with the same setup but both NICs identify as the domain network. Any ideas on how to fix this? Thanks.
Problems to join Debian/Ubuntu machines to a domain
Is not posible to join Debian/Ubuntu machines to a domain based on Windows Server 2025 (using realm at least) this is the error: ! Couldn't set password for computer account: XXXX$: Message stream modified adcli: joining domain xxxx.local failed: Couldn't set password for computer account: XXXX$: Message stream modified ! Failed to join the domain realm: Couldn't join realm: Failed to join the domain Domain is discoverable vía realm: root@lnms01:/home/administrator# realm discover xxxx.local xxxx.local type: kerberos realm-name: XXXX.LOCAL domain-name: xxxx.local configured: no server-software: active-directory client-software: sssd required-package: sssd-tools required-package: sssd required-package: libnss-sss Tested on WS2025 build 26227 and Linux 6.1.0-21-amd64 x86_64, Linux 6.6.31+rpt-rpi-v8 aarch64 and Linux 6.8.0-31-generic x86_64. Those 3 versions of Linux joined to another doman based con Windows Server 2022 without issues.Hyper-V live mig failing from 2025 host to 2022 host
I'm having an issue with my one hyper-v cluster. I have 4 Server 2022 hosts, and 1 Server 2025 host. Live migration works INBOUND to the 2025 host, but live migrations fail OUTBOUND from the 2025 host. I have tried everything I can think of to make sure settings are ok. I have tried both setting it to use all networks, and the specific network. I've matched the live migration NIC settings to mirror what the 2022 hosts have. I've made sure the Hyper-V Live Migration settings all match. They use CredSSP and compression. Nothing seems to be working. Is there some really subtle 2025 bug that doesn't allow for live migrations to lower OS version hosts?
Windows Server 2016 and internet issues
Hello everyone, I'm relatively new here and hoping for some help. I'm IT at a school in Manhattan that has an old Dell tower running Windows Server 2016 in the basement that is not in use any more with the school as they have transferred over everything to digital. This was set up before my time working here and the person who set it up unfortunately did not leave any notes. We are ready to disconnect the machine as all of it's functions have been moved elsewhere. But, every time it is turned off or disconnected from our network patch, the internet in the entire building goes dead. I do not have previous experience with these kinds of servers and am trying to figure out what could possibly be causing this. I am concerned because the machine is old and feels like it's being held together by duct tape, and if it goes down, I hoping internet doesn't go with it. Looking for any advice or knowledge about these servers and what I can try to do to disconnect it.Why Does Allergy Center Islamabad Website Load Slowly on Phones?
I tried opening https://allergycenterislamabad.com several times, and the page either loads very slowly or stops halfway. Could it be related to heavy images, mobile optimization, or server speed? Would appreciate any suggestions on how to fix this — especially for users on slower connections.
Noob needs help with RDP Services
I am new to Windows server management. I setup a 2019 Server in a VM (Hyper-V). I installed the licenses we got for RDP from MS after installing the Remote Desktop Services. I am getting an error about Remote Desktop Licensing Mode is not configured. Tells me to use Server Manger to specify RD Connection Broker. Either I neglected to install it or configure it, not sure. Articles I find say go to Server Manager -> Remote Desktop Services -> Overview... BUT, that tells me I am logged in with a local account but must use a domain account to manage servers and collections. Again, not using a DC. This server is not part of a domain. We do not run AD internally only AzureAD online. We have 1 program we still run internally and users RDP to it. Should I remove the service and reinstall? What about the licenses I added already? How to I keep them? Any assistance will be greatly appreciated... J
