This article is contributed. See the original author and article here.
Like this blog, the Sync Up Podcast is a one-stop shop for learning all about the latest and greatest features of OneDrive. Hosted by myself (Stephen Rice) and Arvind Mishra, each episode aims to shed light on how OneDrive connects you to your files, helps you share and collaborate anywhere and works seamlessly across your devices. We also strive to give you a behind the scenes look at how we build OneDrive and what might be coming down the path!
Subscribe to Sync Up on Apple, Spotify or your favorite podcast app!
If you haven’t listened or aren’t subscribed, here are a few of the latest episodes!
Behind the Blue – OneDrive’s New Design – August 2, 2023
The new OneDrive Design is on its way! On this episode of Sync Up, Stephen Rice and Arvind Mishra discuss the colors, rounded corners and nuances of OneDrive’s new look with expert designers Christopher Wymer and Lyndsey Gill! They walk through the inspirations, challenges and magic that went into bringing this new, refreshed OneDrive to your screens!
Jason Moore, former host of the Sync Up podcast, is back for a special bonus episode on the past, present and future of OneDrive! Join Stephen Rice and Arvind Mishra as they talk with Jason Moore about OneDrive’s history, as it grew from just an idea to a beta of 5000 users to the massive service that it is today! They talk about the early days of SkyDrive, how the product evolved over time and how it will continue evolve into the future! Stick around to the end for a sneak peak at Jason Moore’s hit song about OneDrive!
OneDrive is getting a new home! Join Stephen Rice and Arvind Mishra as they go behind the scenes of the latest OneDrive features in the Sync Up podcast. They talk with the experts and designers for three great features that are coming in the next two months! First, Lesha Bhansali lifts the veil on the new OneDrive Home, People View and Meeting Views that are designed to get you to your files as fast as possible. Second, Ihcene Cheriet will talk about the new, simplified Share Dialog that makes sharing easier than ever, and the new Manage Access experience which helps you stay in control of your content!
The Sync Up Podcast is back! Stephen Rice and Arvind Mishra have brought the Sync Up podcast back from the brink to give you the best insights into the OneDrive product! This month, we talk about all the amazing features we announced at the Microsoft 365 Collaboration Conference with Product Managers Irfan Shahdad and Miceile Barret! We talk about OneDrive Home, simplified sharing, colored folders (YES!), people and meeting views, new filters, and whether popcorn is better than M&M’s for movie snacks.
About the hosts
Stephen Rice is a Principal Product Manger for the OneDrive team, where he has worked the past 9 years. He focuses on enabling collaboration across Microsoft 365, whether you are working with partners inside or outside of your organization! In his free time, Stephen enjoys playing games such as Magic: The Gathering and enjoying Star Wars, which he reviews on his other podcast, the Ion Cannon Podcast.
Arvind Mishra is a Principal Product Manager on the OneDrive team, where he’s worked for the past 1.75 years. Prior to Microsoft he worked at several consumer subscription startups, and way before that, he worked at Microsoft, as a Product Manager supporting the User Experience scenarios in Windows, including Search and Organization. Now that he’s back at Microsoft, he’s working on, surprise: consumer subscriptions, supporting OneDrive’s efforts to help customers ensure all their important stuff is safely backed up to the cloud. In his spare time, he also enjoys all things Star Wars, and playing not enough video games.
This article is contributed. See the original author and article here.
Manufacturers worldwide are investing heavily in digital transformation, overhauling almost every aspect of their operations and business models. But one key group—frontline workers —are still awaiting their digital renaissance.
Today, many organizations feel their workers are not empowered or digitally well-equipped. Manufacturers struggle with high turnover and the challenge of training and upskilling new workers. Downtime and worker productivity remain nearly universal issues.
To help address these issues, Microsoft is investing in frontline worker enablement across a broad range of technologies. This includes new solutions to help frontline workers deliver exceptional service with next-generation AI, as well as on our ongoing investment in mixed reality hardware and solutions. Microsoft Dynamics 365 Guides cultivates collaborative environments where people put knowledge into action. Here are three ways mixed reality is addressing frontline worker training, support, and knowledge transfer across industries:
1. Resolve issues quickly with remote support and collaboration
Unplanned downtime is costly. The average manufacturer confronts over 800 hours of equipment downtime a year, or 15 hours per week. Industrial manufacturers consequently spend almost USD50 billion on downtime every year.1 In these high-pressure situations, communication across functions can either speed resolution or create blockers to forward progress.
Historically, manufacturing environments fostered knowledge silos with valuable insights confined to individuals, groups, or departments. Mixed reality shifts this dynamic. Workers can share real-time, situational video of their environment, allowing others to experience it firsthand—regardless of location. Expert guidance, troubleshooting, or step-by-step instructions are immediate. This eliminates the need to travel, while minimizing downtime and production disruptions.
Gone are the days where access to experts, communication barriers, or information silos dictate how knowledge is shared or when assets are repaired. Working on assembly or service lines requires specialized skills and expertise. Access to individuals with the relevant, hands-on experience, however, is not always possible. With Dynamics 365 Guides, when specialized skills are required, experts are a Microsoft Teams call away.
Together, Dynamics 365 Guides and Microsoft Dynamics 365 Remote Assist with Teams connect workers beyond their physical limits. A communication hub, Teams enables collaboration across the workforce. Its integration with Dynamics 365 Guides allows workers to extend this to the physical world on any device.
2. Accelerate training with information in context
Frontline workers are the backbone of industry operations. These roles demand technical savvy, quick decision-making, and resiliency. Traditional in-place training and onboarding processes are often ineffective or add to the cognitive burden of overwhelmed frontline workers.
Hands-on training with physical assets is expensive, time-consuming, and at times dangerous. Inconsistent quality or impersonal training is often the result. However, holographic environments can mitigate these on-ramping risks. Embracing mixed reality accelerates learning by introducing relevant, task-specific knowledge in new immersive and data rich environments.
Using 3D models and digital twins, frontline workers receive a better understanding of the machines and processes at hand. Related materials are retrieved or amended instantly, nurturing knowledge exchange, which is further enhanced by AI. Mixed reality is the eyes and ears of AI. Delving into operation nuances for personalized, in-depth learning becomes easier. When integrated, mixed reality and AI accelerate worker training, shortening steps and supplying users with the working knowledge they need for the task at hand.
With Dynamics 365 Guides frontline and service workers can start accelerating their role-based knowledge today. Workers receive purpose-built, interactive guidance on complex machinery, assembly protocols, or maintenance steps when and where they need it.
3. Ensure transfer of information, insights, and skills
As employees near retirement, their wealth of expertise needs to be captured and shared. These experts understand the assets and processes that keep production moving. Retaining and transferring that knowledge is vital. There’s just one problem: Manufacturing is experiencing a talent exodus. Globalization, unemployment, and a rapidly aging workforce together are compounding operational challenges. Organizations are rightfully concerned. One-third of manufacturing executives claim retaining and replacing high-performing employees as a strategic priority in 2023.2 Mixed reality is poised to help solve this by capturing information for informed decision-making and greater productivity.
Mixed reality facilitates knowledge retention and transfer across an organization through the creation of immersive experiences and simulations, regardless of location or device. The versatility of mixed reality makes up-skilling faster and more accessible. Dynamics 365 Guides offers industrial workers the opportunity to document unique situational processes and procedures not included in asset operating manuals. Step-by-step instructions, annotations, and “on the ground” insights are placed in context and immediately accessible throughout the day.
With Dynamics 365 Guides embedded in Microsoft Dynamics 365 Field Service mobile, mixed reality is democratized for every worker. Organizations now have asset, maintenance, and service information at their fingertips. This combination in one app improves worker accuracy, productivity, and efficiency—while offering powerful guidance on the device at hand.
Realize your future manufacturing potential
Mixed reality is a key part of an emerging technology category known as the industrial metaverse. Its foundational cross-platform technologies—including AI, cloud to edge, digital twins, machine learning, and mixed reality—are shifting our relationship with data from stationary to dynamic experiences.
Mixed reality is an essential glue that visualizes the diverse elements of the industrial metaverse. Seamlessly integrating the physical and digital, mixed reality creates immersive experiences that transcend traditional industrial operations. Guides overlays information atop real-world assets and scenarios, making knowledge available in context where it is needed most.
Prepare your workforce for their smart manufacturing future with mixed reality. Learn how Dynamics 365 Guides can help realize tangible business outcomes.
Dynamics 365 Guides
Optimize operations and solve problems in real-time with holographic guidance.
This article is contributed. See the original author and article here.
This post was co-authored by Michael Mendoza, Director of Service Transformation, Hitachi Solutions.
The era of AI is here, and it’s transforming how companies service customers in the field.
The field service industry is always evolving. Shifting customer preferences and demands, unpredictable economic forces, and tight labor markets have all required field service leaders to continuously adapt and innovate to succeed.
That said, Michael Mendoza, Director of Service Transformation at Hitachi Solutions, a Microsoft Gold Partner, expects that AI will bring about the most dramatic change yet for the field services industry: “It’s no exaggeration to say that the advent of AI promises to completely redefine what is possible, offer groundbreaking new opportunities to delight customers, and differentiate and reinvent service delivery for every organization on the planet.”
Helping to drive that redefinition is Copilot in Microsoft Dynamics 365 Field Service, an AI-powered assistant that helps accelerate field service productivity and deliver the proactive, “always on” support that customers expect. Three key areas where Copilot impacts field service organizations include:
Personalizing service experiences for customers to address issues quickly.
Helping frontline technicians work more efficiently.
Optimizing service operations for increased productivity.
Let’s walk through a common service scenario to see Copilot’s benefits in action.
Personalizing service experiences
New data from Microsoft’s 2023 Work Trend Index Annual Report reveals 63 percent of frontline workers struggle with having to do repetitive or menial tasks that take time away from more meaningful work. Let’s say a service manager for a parts manufacturing company receives an email in Outlook from a customer asking for a technician to come fix a broken circuit on an assembly machine. Before Copilot, the service employee had to find and review the account information and then create a work order separately in Dynamics 365 Field Service. This meant manually copying and pasting or re-entering information from the email into the required fields. The service manager also had to search for past work orders to better determine which service technicians had the right skills and knowledge to fix the issue, as well as which tools and parts were needed for the job.
But now, with Copilot’s AI capabilities and seamless Outlook integration, work order management is streamlined and available at the service manager’s fingertips.
I’m looking forward to providing customers with the ability to work with Field Service features directly in Outlook and Teams without having to switch applications while working with the tools they already use to communicate with customers and technicians.
Bill Caldwell, Director, Service Delivery at Hitachi Solutions
Now, Copilot processes the language in the customer’s email content to identify that creating a work order is the best next action, and suggests the service manager create a work order—all from their Outlook view. With a quick tap, the service manager can create the work order that Copilot has automatically generated (based on its historical knowledge of past work orders pertaining to that machine and incident type) by inserting the customer information, incident, parts needed, technician skills required, and service activities needed. It can also prioritize work orders by intelligently assessing even vague language to determine whether something is urgent or not based on customer language in the subject or the body of the email.
Hitachi Solutions has been privately previewing Copilot in Dynamics 365 Field Service and is already seeing benefits for customers. One particular benefit is that, with Copilot’s work order capabilities in Outlook, its service managers can immediately assign resources to solve customer issues, without leaving the flow of work. This means customers experience faster response times and enhanced service delivery. In addition, service managers have an easier time managing customer service requests, resulting in greater efficiency. And, most importantly, Hitachi knows that Microsoft is guided by our AI principles and Responsible AI Standard and decades of research on AI, grounding, and privacy-preserving machine learning. That means it can assure customers that it has measures in place to help protect against data leakage.
Helping frontline technicians work more efficiently
The most recent interaction a customer has with your company is also their final impression. Giving your frontline workers the information and tools, they need to be more productive, effective, and efficient in the field ultimately translates to happier, more loyal customers. New data from Microsoft’s 2023 Work Trend Index Annual Report reveals that 65 percent of frontline workers are optimistic that AI will help them in their job.
With Copilot, the technician no longer wastes valuable time determining what tools they need, making wrong guesses, or finding experts who can provide helpful information. Instead, the technician has the relevant information from the Copilot-generated work order and can focus on completing the service tasks at hand. For example, because Copilot uses next-generation AI to create a properly worded and concise description of the work the client needs performed in the work order summary, the technician has a clear understanding of the problem and what needs to be done to complete the task. This means technicians can resolve issues faster and with higher accuracy, minimizing customer downtime and inconvenience, and creating a better customer experience.
Optimizing service operations
Whether dealing with an inspection, installation, or maintenance issue, a happy field service customer is one who receives high-quality service, feels valued, and has a positive overall experience with the service provider—factors that are all ultimately rooted in operational excellence. Timeliness is crucial in field service, and customers value service organizations who prioritize their requests and strive to resolve their issues quickly and effectively without the need for multiple visits or repeat service calls. Now, right in Outlook, the system leverages the power of the Field Service scheduling engine to provide suggestions, so the work order can be dispatched immediately upon creation and even create a reply to the customer with available times for technicians with the appropriate skill set to solve their issue. That means faster, more efficient service.
Next-generation field service with AI—are you ready?
Service in the era of AI is an exciting time, and Copilot in Dynamics 365 Field Service is an innovative new capability for empowering field service teams to do their best work and deliver an exceptional customer experience. This is just the beginning of AI for field service, and we can’t wait for what’s to come.
Watch a brief video of Copilot in Dynamics 365 Field Service in action.
This article is contributed. See the original author and article here.
Now you will have the ability to view your reseller’s partner capability score, which is the measurement framework that gauge performance, skilling, and customer success to attain a Partner Solutions Designation. The Solutions Partner Designations differentiates partners with broad technical capabilities, a dedication to skilling and training, and a proven ability to successfully deliver solutions for customers in specific Microsoft Cloud solution areas.
This report allow you to develop targeted outreach to resellers, encourage program awareness, offer business development coaching, and provide guidance on how they can increase customer reach and expansion of their technical skilling, enablement, and support.
Nurture your resellers on their journey to attaining a Solutions Partner designation with this new functionality you have available through Partner Center and develop a solid relationship with the reseller community.
Review your reseller’s partner capability score and implement next steps accordingly.
This article is contributed. See the original author and article here.
Introduction
In the realm of high-performance computing (HPC) and AI workloads, the need for agile and powerful storage solutions cannot be overstated. Azure Managed Lustre (AMLFS) has emerged as a game-changing solution, providing managed, pay-as-you-go file systems optimized for these data-intensive tasks. Building upon the success of its General Availability (GA) launch last month and in direct response to customer feedback that we received during our Preview period, we’re excited to unveil two new performance tiers for AMLFS, designed to cater to the diverse array of customer needs. This blog post explores the specifics of these new tiers and how they embody a customer-centric approach to innovation.
40 MB/s per TiB Option: Optimizing Cost and Capacity
The 40MB/s per TiB performance tier represents a significant milestone for Azure Managed Lustre users. It directly addresses the needs of customers dealing with larger datasets, providing a lower-cost option without compromising on performance. Built on the exceptional speed, reliability, and low-latency characteristics of Azure Managed SSDs, the 40MB/s per TiB configuration, ensures that organizations can unlock the power of HPC and AI without incurring exorbitant costs. This tier offers a default maximum file system capacity of 768 TiB. With this option, Azure Managed Lustre becomes an even more accessible solution for enterprises seeking scalable and cost-effective storage solutions.
500 MB/s per TiB Option: Tailored Performance for Massive Throughput Requirements
Azure recognizes that not all workloads require massive storage capacities. The introduction of the 500MB/s per TiB performance tier specifically speaks to the needs of customers dealing with smaller datasets. Constructed on top of Azure Managed SSDs, this tier strikes a balance between performance and capacity, ensuring that users can access a storage solution that aligns precisely with their requirements. With a minimum file system size of 4 TiB, this option empowers organizations to avoid over-provisioning on capacity to meet their performance requirements, allowing customers to efficiently manage their resources. This granular approach to performance tiers demonstrates Azure’s commitment to catering to a wide spectrum of customer needs.
Pricing
The introduction of these performance tiers underscores Azure’s dedication to listening to its customers and iterating its offerings to match real-world demands. While pricing details for these new options are set to be published next month, we want to be completely transparent. Below is a glimpse of the anticipated pricing across different regions for the 40 MB/s per TiB and 500 MB/s per TiB performance tiers:
The introduction of the 40 MB/s per TiB and 500 MB/s per TiB performance tiers for Azure Managed Lustre marks a significant step forward in the realm of HPC and AI storage solutions. These options cater to a diverse range of workloads, from large-scale datasets to smaller, performance-intensive tasks. Azure’s responsiveness to customer feedback and its focus on aligning its services with actual user needs further solidify its position as a leading cloud service provider. As the industry continues to evolve, Azure Managed Lustre remains at the forefront of delivering innovative solutions that empower organizations to thrive in the digital age.
Learn more about using Azure Managed Lustre for your HPC and AI solutions
This article is contributed. See the original author and article here.
With AI deeply embedded, Teams is the smart place to work.But what does it really mean to be smart? For us, it means that when AI is present, it is there to help you level up your work in a way that does not replace you or take away from your agency. We believe that AI should augment and amplify your potential, abilities, and productivity. With Copilot in Teams, you’ll experience a whole new way to work and be able to do things you’ve never been able to do before.
When Microsoft 365 Copilot was first announced in March, it was the start of Teams adding intelligence in ways that unlock new possibilities across communication and collaboration. This blog highlights what’s been announced for Copilot in Teams and some examples of ways you can engage with Copilot to get the most value – regardless of if you are participating in the Early Access Program (EAP) or not. Let’s take a look at where things started and where we are today.
Our first milestone, was announcing Microsoft 365 Copilot and Copilot in Teams meetings. The Microsoft 365 Copilot chat experience – available in Teams and in the browser – is an entirely new experience that works alongside you. It uses the power of Microsoft Graph to bring together data from across the internet, your documents, presentations, email, files, meetings, chats, documents, and 3rd party applications. It has the potential to save you a lot of time and effort throughout your work day. Using your own words to ask Copilot a question or selecting a suggested prompts – right in Teams – you will be able quickly find what you need to move your work forward. For example, rather than having to take time searching through your recent emails, chats, meetings notes, presentations, and other documents to prepare for a meeting – you can just ask Copilot. Copilot will find and summarize everything related to the project your meeting is about so that you don’t have to. In addition, you can get updated on the latest news related to a specific topic, summarize outstanding project deliverables with potential risks, and so much more.
Copilot in Teams meetings makes your meetings even more effective by becoming a powerful tool that helps you complete common meetings tasks. You can get up to speed quickly on anything you’ve missed when you join late, capture unresolved issues before the meeting ends, list all the questions that were left unresolved, identify the right people for specific follow-ups, or even create a table of the pros and cons for a decision that was being discussed. One of my personal favorites to use following an active discussion is to create a table of all the questions asked and their answers. It makes it easy to share back with the team in case any else had similar questions or as a starting point for a Frequently Asked Questions document. Just by using your own words or using a suggested prompt you can get the information you need without disrupting the discussion during a live meeting or afterwards with Intelligent Recap.
Most recently, at Inspire, we announced the next wave of Copilot in Teams with Copilot in Teams Phone and Copilot in Teams Chat, bringing the same great functionality from meetings to impromptu chats and calls. With Copilot in Teams Phone, you can make and receive calls from your Teams app on any device, and get real-time summarization, and insights. You can ask Copilot to draft notes for you and highlight key points, such as names, dates, numbers, and tasks during your call – for both VoIP and PSTN calls. Imagine needed to kick off a new project with a partner outside of your organization. You give the partner a call to provide an outline of the project and discuss the tasks that they will need to collaborate with you on. As your conversation unfolds, Copilot is summarizing the call and capturing the partners questions on timing, their feedback, as well as next steps. After the call, you can use this information to quickly send a follow-up note to confirm the project plan based on your conversation.
Copilot in Teams chat will help you stay on top of your conversations by quickly getting up to speed, summarizing or recapping your chats, and synthesizing key information across your Teams chat threads. The best part? You’ll be able to do all this without interrupting your conversation flow or endlessly scrolling through chats. To fully understand the potential of Copilot in Teams chat think about all the times that you have been away from work – whether in back to back meetings for a day, or out on vacation for 3 days. While you were away, the conversations don’t stop. Imagine that your team is working on a new marketing campaign. While you were away your team was using chat to discuss potential ideas. Rather than endlessly scrolling through the chat conversation, you can just ask Copilot questions to get a quick summary of what you missed over the past 3 days, the top ideas that were discussed, and a list of action items to follow-up on. You can even ask Copilot to create a table of the final ideas along the pros and cons discussed. This way you get back in the loop quickly without having to interrupt the team so everyone can continue focus on next steps for the new campaign. Catching me up after being away from active chats and asking for documents I need to review are a few things I find myself regularly asking Copilot to do in Teams chat.
If you’re interested in going even deeper, check out this episode of Inside Microsoft Teams, where we explore how Copilot in Teams Meetings, Phone, and chat work with the lead product managers responsible for building each experience. We are excited to continue to innovate and transform the way work happens, together. Stay tuned as we roll out more updates in the coming months.
This article is contributed. See the original author and article here.
Contributors: Eliran Azulai and Yuval Pery
Monitoring, management, and innovation are core pillars of Azure Firewall. With this in mind, we are delighted to share the following new capabilities:
Resource Health is now in public preview
Embedded Firewall Workbooks is now in public preview
Latency Probe Metric is now in general availability
When you monitor the firewall, it’s the end-to-end experience that we continuously strive to improve. Our aim is to empower you to make informed decisions quickly and maximize your organization’s security demands. Understanding the importance of having visibility into your network, this release focuses on making it easier for you to monitor, manage, and troubleshoot your firewalls more efficiently.
Azure Firewall is a cloud-native firewall as a service offering that enables customers to centrally govern and log all their traffic flows using a DevOps approach. The service supports both application and network-level filtering rules and is integrated with the Microsoft Threat Intelligence feed to filter known malicious IP addresses and domains. Azure Firewall is highly available with built-in auto-scaling.
Resource Health is now in public preview
With the Azure Firewall Resource Health check, you can now view the health status of your Azure Firewall and address service problems that may affect your Azure Firewall resource. Resource Health allows IT teams to receive proactive notifications regarding potential health degradations and recommended mitigation actions for each health event type. For instance, you can determine if the firewall is running as expected with an “Available” status or if there was downtime due to platform events with an “Unavailable” status.
Easily view the resource health status and history of your firewall
Embedded Firewall Workbooks are now in public preview
The Azure Firewall Workbook presents a dynamic platform for analyzing Azure Firewall data. Within the Azure portal, you can utilize it to generate visually engaging reports. By accessing multiple Azure Firewalls deployed throughout your Azure infrastructure, you can integrate them to create cohesive and interactive experiences.
With the Azure Firewall Workbook, you can extract valuable insights from Azure Firewall events, delve into your application and network rules, and examine statistics regarding firewall activities across URLs, ports, and addresses. It enables you to filter your firewalls and resource groups, and effortlessly narrow down data sets based on specific categories when investigating issues in your logs. The filtered results are presented in a user-friendly format, making it easier to comprehend and analyze.
Now, Azure Firewall predefined workbooks are two clicks away and fully available from the Monitor section in the Azure Firewall Portal UI:
View valuable insights in a dashboard view using Azure Firewall Embedded Workbooks
Latency Probe metric is now generally available
The Latency Probe metric is designed to measure the overall latency of Azure Firewall and provide insight into the health of the service. IT administrators can use the metric for monitoring and alerting if there is observable latency and diagnosing if the Azure Firewall is the cause of latency in a network. This troubleshooting metric is helpful for proactively engaging in potential issues to traffic or services in your infrastructure.
Azure Firewall latency can be caused by various reasons, such as high CPU utilization, throughput, or networking issues. As an important note, this tool is powered by Ping Mesh technology, which means that it measures the average latency of the ping packets to the firewall itself. The metric does not measure end-to-end latency or the latency of individual packets.
View the overall latency of the Azure Firewall using the Latency Probe metric
Learn more
When you’re ready to try these new capabilities, just navigate to Azure Firewall Monitoring in the Azure Portal, and select Logs, Metrics, or Workbooks to use these new features. If you do not have logs, navigate to Azure Firewall Diagnostic settings to get started. And continue to provide us with feedback! To give us feedback just tap the feedback icon in the Azure Portal. Your feedback is invaluable in crafting an improved experience that caters to your specific needs.
Suren Jamiyanaa is a Product Manager in Azure Network Security. She joined the team in 2019 where she focuses on innovating the Azure Firewall product for customers in a modern cloud network strategy.
This article is contributed. See the original author and article here.
Issue:
Trying to login to Azure SQL Managed Instance (MI) from SQL Server Management Studio (SSMS) using AAD-Integrated keeps getting the below error. However, the user is able to connect to MI using AAD-Password, AAD-MFA and SQL Authentication without any issue:
Below is the detailed error from SSMS:
===================================
Cannot connect to mySQLMI.xxxxxx.database.windows.net.
===================================
One or more errors occurred. (mscorlib)
—————————— Program Location:
at System.Threading.Tasks.Task.ThrowIfExceptional(Boolean includeTaskCanceledExceptions) at System.Threading.Tasks.Task.Wait(Int32 millisecondsTimeout, CancellationToken cancellationToken) at System.Data.SqlClient.SqlInternalConnectionTds.GetFedAuthToken(SqlFedAuthInfo fedAuthInfo) at System.Data.SqlClient.SqlInternalConnectionTds.OnFedAuthInfo(SqlFedAuthInfo fedAuthInfo) at System.Data.SqlClient.TdsParser.TryRun(RunBehavior runBehavior, SqlCommand cmdHandler, SqlDataReader dataStream, BulkCopySimpleResultSet bulkCopyHandler, TdsParserStateObject stateObj, Boolean& dataReady) at System.Data.SqlClient.TdsParser.Run(RunBehavior runBehavior, SqlCommand cmdHandler, SqlDataReader dataStream, BulkCopySimpleResultSet bulkCopyHandler, TdsParserStateObject stateObj) at System.Data.SqlClient.SqlInternalConnectionTds.CompleteLogin(Boolean enlistOK) at System.Data.SqlClient.SqlInternalConnectionTds.AttemptOneLogin(ServerInfo serverInfo, String newPassword, SecureString newSecurePassword, Boolean ignoreSniOpenTimeout, TimeoutTimer timeout, Boolean withFailover, Boolean isFirstTransparentAttempt, Boolean disableTnir) at System.Data.SqlClient.SqlInternalConnectionTds.LoginNoFailover(ServerInfo serverInfo, String newPassword, SecureString newSecurePassword, Boolean redirectedUserInstance, SqlConnectionString connectionOptions, SqlCredential credential, TimeoutTimer timeout) at System.Data.SqlClient.SqlInternalConnectionTds.OpenLoginEnlist(TimeoutTimer timeout, SqlConnectionString connectionOptions, SqlCredential credential, String newPassword, SecureString newSecurePassword, Boolean redirectedUserInstance) at System.Data.SqlClient.SqlInternalConnectionTds..ctor(DbConnectionPoolIdentity identity, SqlConnectionString connectionOptions, SqlCredential credential, Object providerInfo, String newPassword, SecureString newSecurePassword, Boolean redirectedUserInstance, SqlConnectionString userConnectionOptions, SessionData reconnectSessionData, DbConnectionPool pool, String accessToken, Boolean applyTransientFaultHandling, SqlAuthenticationProviderManager sqlAuthProviderManager) at System.Data.SqlClient.SqlConnectionFactory.CreateConnection(DbConnectionOptions options, DbConnectionPoolKey poolKey, Object poolGroupProviderInfo, DbConnectionPool pool, DbConnection owningConnection, DbConnectionOptions userOptions) at System.Data.ProviderBase.DbConnectionFactory.CreateNonPooledConnection(DbConnection owningConnection, DbConnectionPoolGroup poolGroup, DbConnectionOptions userOptions) at System.Data.ProviderBase.DbConnectionFactory.TryGetConnection(DbConnection owningConnection, TaskCompletionSource`1 retry, DbConnectionOptions userOptions, DbConnectionInternal oldConnection, DbConnectionInternal& connection) at System.Data.ProviderBase.DbConnectionInternal.TryOpenConnectionInternal(DbConnection outerConnection, DbConnectionFactory connectionFactory, TaskCompletionSource`1 retry, DbConnectionOptions userOptions) at System.Data.ProviderBase.DbConnectionClosed.TryOpenConnection(DbConnection outerConnection, DbConnectionFactory connectionFactory, TaskCompletionSource`1 retry, DbConnectionOptions userOptions) at System.Data.SqlClient.SqlConnection.TryOpenInner(TaskCompletionSource`1 retry) at System.Data.SqlClient.SqlConnection.TryOpen(TaskCompletionSource`1 retry) at System.Data.SqlClient.SqlConnection.Open() at Microsoft.SqlServer.Management.SqlStudio.Explorer.ObjectExplorerService.ValidateConnection(UIConnectionInfo ci, IServerType server) at Microsoft.SqlServer.Management.UI.ConnectionDlg.Connector.ConnectionThreadUser()
===================================
One or more errors occurred. (mscorlib)
—————————— Program Location:
at System.Threading.Tasks.Task.ThrowIfExceptional(Boolean includeTaskCanceledExceptions) at System.Threading.Tasks.Task`1.GetResultCore(Boolean waitCompletionNotification) at System.Threading.Tasks.Task`1.get_Result() at System.Data.SqlClient.SqlInternalConnectionTds.c__DisplayClass134_1.b__0() at System.Threading.Tasks.Task`1.InnerInvoke() at System.Threading.Tasks.Task.Execute()
This error may occurs when the computer account “AZUREADSSOACC” has an issue such as being removed or disabled for some reason.
How this account created:
When you enable Azure Active Directory Seamless Single Sign-On feature from Portal; this account will be created in your on-premises Active Directory (AD) in each AD forest that you synchronize to Azure AD (using Azure AD Connect), along with a number of Kerberos service principal names (SPNs) that are created to be used during the Azure AD sign-in process.
If the user disabled the computer account “AZUREADSSOACC“, they can follow the below steps to enable it back:
To open Active Directory Users and Computers, click Start, click Control Panel, double-click Administrative Tools, and then double-click Active Directory Users and Computers.
In the console tree, click Computers.
Where? Active Directory Users and Computersdomain nodeComputers
Or, click the folder that contains the computer account that you want to enable as shown below:
In the details pane, right-click the desired computer account, and then click Enable Account.
For more information about this issue, please refer to the following documents:
This article is contributed. See the original author and article here.
Disclaimer
This document is not meant to replace any official documentation, including those found at docs.microsoft.com. Those documents are continually updated and maintained by Microsoft Corporation. If there is a discrepancy between this document and what you find in the Compliance User Interface (UI) or inside of a reference in docs.microsoft.com, you should always defer to that official documentation and contact your Microsoft Account team as needed. Links to the docs.microsoft.com data will be referenced both in the document steps as well as in the appendix.
All the following steps should be done with test data, and where possible, testing should be performed in a test environment. Testing should never be performed against production data.
Target Audience
Microsoft customers who want to better understand Microsoft Purview.
Document Scope
The purpose of this document (and series) is to provide insights into various user cases, announcements, customer driven questions, etc. It is not meant as the final answer to all Purview related questions.
Topics for this blog entry
Here are the topics covered in this issue of the blog:
Topic – Purview related eDiscovery and Office Message Encrypted (OME) emails
Use Case #1 – legal or HR review of Office Message Encrypted (OME) emails within Purview eDiscovery
Use Case #2 – legal or HR review of OME emails that have been exported from Purview to a PST and/or Exchange Mailbox and then opened within an Outlook thick client.
Out-of-Scope
This blog series and entry is only meant to provide information, but for your specific use cases or needs, it is recommended that you contact your Microsoft Account Team to find other possible solutions to your needs.
Not done – OME and eDiscovery
1 – Roles Based Access Control (RBAC) for Purview
If you want to leverage Purview RBAC roles to access and view emails/files, you will need to open the Purview eDiscovery console. The Purview RBAC roles are not “usable” within Outlook thick or thin clients.
Here is a link to the RBAC information and a screenshot related specifical the Review role within that RBAC:
2 – Accessing emails that have been encrypted via OME inside of Purview eDiscovery
Let us first understand how Purview deals with encrypting/decrypting data, as it relates to eDiscovery. The following chart from Microsoft documentation should provide more light on what is decrypted in the Standard and Premium versions of Purview.
In conclusion, if you have the proper version of Purview eDiscovery (ie. Premium) and the proper RBAC role, you can view emails that have been encrypted using OME.
3 – Accessing emails that have been encrypted via OME and then exported to a PST and/or Exchange mailbox
Before we start this section, please note that review of eDiscovery related data from within Outlook is not a Microsoft best practice. We recommend you perform your reviews from within Purview eDiscovery or another eDiscovery solution designed for legal and HR investigations.
With that being stated, let us look at what options are available if you do decided to try and review encrypted (OME) that has been exported from Purview eDiscovery.
First, let us return to the supported decryption charted from above, we can see what versions of Purview support decryption of data when exporting to PST files.
Next, let us again return to one of the charts above, notice that you can export encrypted data (to email/PST). This applies to the export of encrypted data but DOES NOT decrypt data as part of its export process.
Question – if my data is exported and still encrypted with OME, how can I read OME emails from the exported PST file?
Answer – The official answer is you need additional rights tied back to RMS, in particular the RMS Decrypt role. Please note the information in the following link and screenshot for specifics.
From the link and screenshot above, there are 2 items listed:
You need to assign the RMS Decrypt role to your user performing the review. This is separate from the Reviewer role specific to Purview eDiscovery.
It is recommended that you run the ScanPST.exe tool on the exported PST. This tool does not decrypt data only verifies and fixes PST files that might have become corrupted.
Important Note
For a deeper understanding of what rights are needed and work flow you should follow (if you are pursuing this email review process) you should contact your Microsoft Account Manager or certified Microsoft Partner.
This article is contributed. See the original author and article here.
Learn how you can save money with the Azure saving plan recommendations. with your host Thomas Maurer and Azure savings plan expert Obinna Nwokolo.
Azure savings plan feature recap.
Azure savings plan for compute is an easy and flexible way to save money on compute services spend compared to pay-as-you-go (PAYG) prices. What customers do is you can commit to an hourly amount to spend over a one to three-year and in exchange for that you get significant discounts over the on-demand prices.
Purchase savings plans in the Azure portal.
You can purchase Azure savings plan by going to Azure Portal.
Login to the Azure Portal.
In the search box, search for “Savings plan”, click on that.
You’ll be brought to the Savings plan blade where you can click “Add” and then you can go through the purchasing process just by filling out the necessary information.
How are savings plan recommendations generated?
Thomas mentioned that when he talks to customer using the savings plan, he gets a few common questions such as “How much commitment should I make?” or “How do I select the right savings plan?” and so on because it varies by individual cases One other question, he gets asked is “How are Azure savings plans recommendations generated?”
From Obinna’s experience it is very difficult to figure out exactly how much to commit and so Microsoft tries to do that work for you. Microsoft looks at your hourly usage, what you’ve spent on savings plan eligible resources over the last 7, 30, and 60 days. Then Microsoft does some calculations where they try to determine what would have been the optimal savings plan amount for each hour within the 7, 30, or 60 day timeframe. Then Microsoft takes that optimal savings plan amount and attempts to simulate what would have happened had you made that savings plan purchase and your savings projected. After all those simulations have been done, Microsoft takes the top ten of those simulations that resulted in positive savings and presents those to you as recommendations. Your recommendations are based on what you’re actually spending.
Demo of Azure savings plan and explanation of calculations.
In the video below there is a segment where there is a demo. For example, let’s talk about a customer that would be a good fit for Azure savings plan. Our fictional customer Contoso runs a helpdesk service and because they are serving globally, it’s important for them to leverage compute services through multiple regions over the course of the day.
This makes them a really good candidate for the Azure savings plans. So, in this example how does Microsoft generate the recommendation is going to go through several steps.
Microsoft figures out what did you spend, this could be called the “commitment candidates”. These are the amounts that say for this hour this is the optimal savings plan amount.
Then some simulations are run where Microsoft figures out what you would have saved if you had that commitment.
Then Microsoft simulates all 720 commitment candidates; it is going to say here are the top 10 and this is what we’re going to present to you as a customer.
To recap, Microsoft wants to start by looking at your usage. In this scenario, when Microsoft looks at Contoso’s usage over 720 hours. Microsoft goes through hour one, hour two all the way down to the last hour for that period and says “this is your usage and what did they actually spend?”.
You can see how this is calculated in this example a little bit over $7.00, so $7.32 and fractions of that. Then Microsoft says, “let’s figure out that same answer for all of the remaining hours within that 30 day look back period.” Which in this case is 720 distinct hours (24 hours x 30 days = 720 hours). So now that Microsoft knows what they were spending for every single hour, Microsoft wants to understand what the optimal savings plan amount is for each one of those hours.
Microsoft then applies the Azure savings plan discount for each one of those hours and then calculates what’s the net resultant savings plan commit optimal amount. So, in this example their usage of on demand cost was $7.32 for hour one. When the savings plan discounts are applied, we find that the right amount for them, from a savings plan perspective, is a little bit more than $3.30.
So, we now know this is the optimal amount for our number one. Let’s take our number one’s value and apply to our number two, our number three and all the remaining hours in that 720-hour window. And so, we’re going to follow the benefit application rules that exist for savings plan, look at the meter that has the greatest discount and apply the savings plan to that first and then work our way down. As we go through that process in this particular example, we find that a $3.30 savings plan isn’t actually enough to fully cover that first meter so there’s going to be some overage. We’re going to fully consume the savings plan and then we’re going to incur an on-demand cost of $1.57. Then we’re going to go on that second meter and we’re going to, because the savings plan is gone, just charge that one as the full on-demand rate. So, the net of this is as we go through this, we see that we incurred a total simulated cost of $6.87. That’s actually still better than the on-demand cost that the customer had coming in which was $7.32. So, this $3.30 savings plan for our number two resulted in a net savings of $0.44 which is progress. As we go through each one of those hours, if a candidate results in a positive savings, we want to keep it because it’s got potential but if it doesn’t, we want to discard it. So we’re going to run this analysis for our number two, our number three, all the way to 720 when we finish for each individual hour, each individual simulation, we want to compare all of them.
In this case, again, we have 720 candidates. We’re going to simulate each one of those against every single hour. The result of this is about a little bit over 500,000+ calculations in this period and when we finish this whole process, we’re going to select up to the top 10 candidates that actually resulted in savings and that’s what you end up seeing within the Azure portal UI when you click into the billing into the hourly commitment.
You’ll see in this example we’ve presented for $1.43 all the way to $1.43 and a little bit more change along with providing the commitment amount, we do provide additional information. It says here’s your expected savings percentage as well as the expected coverage and this is the coverage that this savings plan and any other reservations and or savings plan you’ve previously purchased would have provided for you.
We think that’s really good information to help you make the right choice, but you still also have the ability to put a custom amount if you want to go a little bit less. We wouldn’t recommend going over because as you go over you have additional waste and again this is focused on making sure we provide you with the greatest cost savings.
Resources to help you learn more about Azure savings plan.
If you’d like to learn more about the general principles prescribed by Microsoft, we recommend Microsoft Cloud Adoption Framework for platform and environment-level guidance and Azure Well-Architected Framework. You can also register for an upcoming workshop led by Azure partners on cloud migration and adoption topics and incorporate click-through labs to ensure effective, pragmatic training.
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