Affordable Conference Room Setups for Small Businesses Using Microsoft Teams Resource Accounts
Our small business (around 40 users) recently migrated from Google to Microsoft 365, and we’re facing several challenges in optimizing our meeting rooms for Teams without incurring large costs. Here’s our current setup and the main issues we are encountering—hoping for advice or creative solutions from the community. Current Setup All computers are domain-joined. We created resource accounts for each of our three meeting rooms; these appear correctly as Rooms in Outlook and Teams booking menus. Each meeting room contains a standard desktop PC (not MTR-certified) running Windows, logged into Teams as the room’s resource account. Employees use the meeting room computer to join calls and manage the meeting calendar. Current Issues Wireless Presenting (Casting): Teams’ wireless casting feature appears to require MTR-certified hardware, which is financially out of reach for a business our size. Unplugging and plugging HDMI cables is cumbersome and error-prone, especially since not everyone uses a laptop, and reconnecting the room PC is often forgotten. Agenda & Calendar Privacy: When meetings are booked, the full Teams agenda and chat history remain accessible on the meeting room machine. That means anyone in the room can view past meetings/agendas, which isn’t ideal from a privacy perspective. Screen Sharing and File Security: To present from the meeting room PC, any files must be accessible by the resource account, creating additional security concerns and sharing/permission headaches. What We’re Looking For Affordable wireless presenting options for meeting rooms—ideally something that integrates smoothly with Microsoft Teams, but without requiring full MTR hardware. Best practices to lock down or reset the meeting room PC so meeting agendas, chats, and files are not visible after a session. Secure ways to allow guests to present (screen share, share files, etc.) without exposing company data or making users jump through complicated permission processes. If anyone has experience setting up small, cost-effective Teams Rooms, especially with regular PCs rather than dedicated MTR devices, advice would be greatly appreciated! Specific steps, hardware/software recommendations, or management tips would all be helpful. Thanks in advance for any guidance!
[iOS][Adaptive Card] Issues with Adaptive Card rendering on iOS devices
Hi there, I've encountered some issues with Adaptive Card rendering on iOS devices, although these issues do not appear and work fine on desktop, web, and Android platforms. Issue 1: When specifying the image size within an Adaptive Card, the rendering on iOS devices is inconsistent, resulting in the appearance of an extra blank area. iOS Desktop And the card JSON is: { "type": "AdaptiveCard", "body": [ { "type": "TextBlock", "text": "I am a bot.", "wrap": true }, { "type": "Image", "url": 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", "width": "600px", "height": "300px" }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [] }, { "type": "Column", "items": [ { "type": "TextBlock", "text": "Test Bot", "wrap": true, "isSubtle": true, "size": "Small", "weight": "Lighter" } ], "width": "auto", "verticalContentAlignment": "Center" } ] } ], "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "version": "1.6", "msTeams": { "width": "full" } } Issue 2: The Teams iOS client fails to properly render bold text in markdown when a single TextBlock contains both mention formatting and markdown elements. iOS Desktop Card JSON: { "type": "AdaptiveCard", "msteams": { "entities": [ { "type": "mention", "text": "<at>Zhongfang Zhou</at>", "mentioned": { "id": "29:1hRSk6kciBChF7eND3vFcDpybc1u0u-j4I9sCMr0j9WiD7a7XMGhYtOvCSZZxXQst83aOR_gimo5uEQPDOgP9vQ", "name": "Zhongfang Zhou" } } ] }, "body": [ { "type": "TextBlock", "text": "<at>Zhongfang Zhou</at> Hi, this is the **answer**.", "wrap": true }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [] }, { "type": "Column", "items": [ { "type": "TextBlock", "text": "Test Bot", "wrap": true, "isSubtle": true, "size": "Small", "weight": "Lighter" } ], "width": "auto", "verticalContentAlignment": "Center" } ] } ], "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "version": "1.6", "msTeams": { "width": "full" } } Issue3: The Teams iOS client incorrectly renders all markdown text as bold when there are two TextBlocks, one containing mention formatting and the other containing markdown text. iOS Desktop Card JSON: { "type": "AdaptiveCard", "msteams": { "entities": [ { "type": "mention", "text": "<at>Zhongfang Zhou</at>", "mentioned": { "id": "29:1hRSk6kciBChF7eND3vFcDpybc1u0u-j4I9sCMr0j9WiD7a7XMGhYtOvCSZZxXQst83aOR_gimo5uEQPDOgP9vQ", "name": "Zhongfang Zhou" } } ] }, "body": [ { "type": "TextBlock", "text": "<at>Zhongfang Zhou</at>", "wrap": true }, { "type": "TextBlock", "text": "Hi, this is the **answer**.", "wrap": true }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [] }, { "type": "Column", "items": [ { "type": "TextBlock", "text": "Test Bot", "wrap": true, "isSubtle": true, "size": "Small", "weight": "Lighter" } ], "width": "auto", "verticalContentAlignment": "Center" } ] } ], "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "version": "1.6", "msTeams": { "width": "full" } }
Adaptive Card not Displaying On Teams Mobile
Hey everyone, I've been messing with Power Automate to create Adaptive Cards after every day to update the team on how we're doing. It works perfectly on Desktop, however, some text is not visible on Mobile as seen in attached pictures. The first picture is how it displays on mobile, the second is how it displays on desktop. Changing my theme to light still does not show the numbers that should be there. I've attached the adaptive card json at the bottom, any help is appreciated! { "type": "AdaptiveCard", "body": [ { "type": "Container", "items": [ { "type": "TextBlock", "size": "Large", "weight": "Bolder", "text": "DC Data for Last Shipping Day ", "spacing": "Large", "horizontalAlignment": "Center", "color": "Good" }, { "type": "TextBlock", "text": "Great work! We shipped @{add(add(int(variables('Output')[0]['Orders Shipped']), int(variables('Output')[1]['Orders Shipped'])), int(variables('Output')[2]['Orders Shipped']))} orders.", "wrap": true, "size": "Medium", "horizontalAlignment": "Center" } ] }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "wrap": true, "text": "Wisconsin:\n\n", "size": "Large", "weight": "Bolder" }, { "type": "FactSet", "facts": [ { "title": "Orders Shipped:", "value": "@{variables('Output')[0]['Orders Shipped']}" }, { "title": "Orders Left to Ship:", "value": "@{variables('Output')[0]['Orders Left to Ship']}" }, { "title": "Overdue Orders:", "value": "@{variables('Output')[0]['Overdue Orders ']}" } ] } ] }, { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "text": "Nevada:", "wrap": true, "size": "Large", "weight": "Bolder" }, { "type": "FactSet", "facts": [ { "title": "Orders Shipped:", "value": "@{variables('Output')[1]['Orders Shipped']}", "color": "Accent" }, { "title": "Orders Left to Ship:", "value": "@{variables('Output')[1]['Orders Left to Ship']}" }, { "title": "Overdue Orders:", "value": "@{variables('Output')[1]['Overdue Orders ']}" } ] } ] }, { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "text": "Mississippi:", "wrap": true, "size": "Large", "weight": "Bolder" }, { "type": "FactSet", "facts": [ { "title": "Orders Shipped:", "value": "@{variables('Output')[2]['Orders Shipped']}" }, { "title": "Orders Left to Ship:", "value": "@{variables('Output')[2]['Orders Left to Ship']}" }, { "title": "Overdue Orders:", "value": "@{variables('Output')[2]['Overdue Orders ']}" } ] } ] } ] }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "text": "TOTAL PERCENTAGE", "size": "Large", "color": "Accent", "maxLines": 3, "wrap": true, "horizontalAlignment": "Center" } ], "verticalContentAlignment": "Center" }, { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "wrap": true, "text": " @{body('Format_number')}%", "size": "ExtraLarge", "horizontalAlignment": "Center", "color": "Good" } ], "verticalContentAlignment": "Center" }, { "type": "Column", "width": "stretch", "items": [ { "type": "Image", "url": "imageURL", "horizontalAlignment": "Center", "spacing": "None" } ], "verticalContentAlignment": "Center", "backgroundImage": { "verticalAlignment": "Center", "horizontalAlignment": "Center" }, "horizontalAlignment": "Center" } ] } ], "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "version": "1.3" }call details with devce info and participant join,leave time
i am working on teams integration project when i run grap api it does not show data for device and participant timing details graph api for extacting data for call including { "call_id": "004998be-da70-40f6-999a-3c84484c98b1", "start_date_time": "2024-12-17T11:53:14.9897859Z", "end_date_time": "2024-12-17T12:16:55.6045446Z", "participants": [ { "participant_name": "Surbhi Yadav", "join_time": "Unknown", "leave_time": "Unknown" },
What device was the Teams user last active on?
Hello dear community. We in development were given the challenge within the company to ask on which device (whether on a PC or mobile/smartphone) a Teams user is/was currently/most recently active. Background information: There is an upstream routing software that distributes incoming calls to Teams users via PSTN. Now the routing should be different for users when they are not in the office and are on the go and use MS Teams. We have already looked at the Graph API endpoints such as: ownDevices managed devices Registrated user But everything wasn't productive. We have no clue in the data returned by them that we can use to determine which device a user had or found the last conversation on. On which this is active. We are grateful for every approach. Developer know-how is available and we can also take one or two detours Thanks VG NikoPotential Vulnerability: Access to Devices on Network via Teams
Hi. Not sure if this is the right place for this. Does anyone know / have come across, a vulnerability that follows this user journey: 1. Meeting Request Sent to victim via third party 2. Meeting commences 3. Third party accesses victim device (that meeting is taking place on) + devices connected to the network + has ability to modify, delete, add files on network connected devices + schedule events to take place on devices connected to the network. When experienced the victim witnesses and major increase in CPU and Memory Useage + activity in applications managed at the enterprise level (Adobe Creative Cloud, N-Able, Citrix). Connected to the attack, the victim also notices otherwise non-malicious scripts launching from PDF and Image documetns that the Third Party had sent in the lead up.
When Navigating Away and Returning to My Teams Static Tab Extension, It Reloads—How to stop reload?
I have developed a static tab extension for Microsoft Teams using ReactJS. The tab functions as expected; however, when I navigate to other Teams features such as Chat or Calendar and then return to my tab, it reloads from the beginning. This results in a poor user experience since the tab does not retain its previous state or position. I want my static tab to behave like the native Teams tabs, where it retains its state and loads instantly when navigated back to. How can I achieve this in a ReactJS-based Teams tab? Are there any specific ways or methods to achieve native behavior? Additionally, are there any changes in the manifest that could fix this reload issue? Any guidance or recommendations on how to effectively implement state persistence to achieve a seamless user experience would be greatly appreciated. Thank you in advance for your assistance.
