Month: June 2024
Cisco Secure Client Profil enrollment error
Good Day,
when integrating a new iOS device into Intune, I get an error message when rolling out the VPN profile: “2016341110 0x87D1138A iOS device has rejected the command due to incorrect format”
The VPN profile is for the current Cisco Secure Client. It still worked in April 2024.
Does anyone else have this error and a solution?
Best regards,
Heiko
Good Day,when integrating a new iOS device into Intune, I get an error message when rolling out the VPN profile: “2016341110 0x87D1138A iOS device has rejected the command due to incorrect format”The VPN profile is for the current Cisco Secure Client. It still worked in April 2024.Does anyone else have this error and a solution?Best regards,Heiko Read More
Build scalable cross-subscription applications with Azure Load Balancer
We are thrilled to announce that Azure cross-subscription Load Balancer is now available for public preview in all Azure public and national cloud regions. This capability enables you to have your Azure Load Balancer components in different subscriptions. For example, you could have the load balancer’s frontend or backend instances in a different subscription from the one that the load balancer belongs to.
The matrix below shows some of the scenarios that cross-subscription load balancing enables:
Subscription 1
Subscription 2
Load Balancer
Backend pool resources and Frontend IP address
Load Balancer and Backend pool resources
Frontend IP address
Load Balancer and Frontend IP address
Backend pool resources
Key Features
Cross-subscription Frontends
With cross-subscription frontends, the IP address in the configuration can belong to a different subscription than the one of the load balancer. This feature applies to both public and internal frontends.
For public load balancer, each public IP address can have a different subscription.
For internal frontends, each frontend configuration has to be in the same virtual network (VNet) that the internal load balancer is connected to.
Cross-subscription Backends
With cross-subscription backends, the backend pool of the load balancer can include backend instances from another subscription.
Regional Load Balancer
Regional load balancers can now reference a VNet that belongs to another subscription, and instances within that VNet can attach to the load balancer’s backend pool. Like internal frontends, every backend pool must use the same VNet.
The new syncMode property on the backend pool of the regional load balancer enables cross-subscription load balancing. This property must be set on when configuring the backend pool, and it has two possible values: Automatic or Manual.
Global Load Balancer
The backend pool of a global load balancer can also contain cross-subscription instances. With this feature, regional load balancers that connect to the global load balancer can be in different subscriptions. Each regional load balancer can be in a separate subscription. Note, cross-subscription frontends cannot be used with global load balancers.
Examples of real world scenarios
To illustrate the benefits of Azure’s cross-subscription Load Balancer, let’s look at two sample customer situations. In this situation, we’ll find out about the customers, their needs, and how Azure Load Balancer solved them.
Who is Contoso1?
Contoso1 is a large financial service company based out of Asia. Contoso1 is currently migrating their services to Azure from on-prem. Their primary application is a payment processing service on which their end users can complete transactions between other users.
This service has specific requirements that need to be fulfilled as part of the migration to Azure.
What are the customer’s requirements?
As part of the customer’s migration to Azure they were searching for a traffic distribution solution that would meet the following requirements:
Their application will be replicated across multiple regions, Contoso1 needs a traffic distribution solution that could load balance traffic globally
Further, each replica will be hosted in its own subscription.
Because of how the customer’s application works, it is critical to have ultra-low latency traffic distribution
A single entry point into the application with seamless scale up/down
As the customer adds/removes regional deployment, their end users should see zero interruption.
As mentioned above, each replica will be deployed in its own subscription. A traffic distrubtion solution needs to have the ability to load balance across multiple subscriptions.
How did Azure’s cross-subscription Load Balancer help Contoso1?
Given the requirements outlined above, the customer was onboarded to the cross-subscription feature of Azure global Load Balancer. With Azure global load balancer, customers can load balance traffic across multiple regions with ultra-low latency. In addition, customers get a single static IP address and can scale backend regional load balancers up or down with no interruption to end users.
Given that global load balancer now supports cross-subscription backends, Contoso1 can meet the requirements for their application. The customer added each regional load balancer to the backend pool of their global load balancer seamlessly and successfully migrate their application to Azure.
Who is Contoso2?
Contoso2 is a North American retail company that has experienced rapid growth in the past few years. As they expand their business, they have been using Azure to scale up their operations and meet their customer needs.
What are the issues with the customer’s current set-up?
Contoso2 has been using one tenant and subscription for all their resources, but this is not working well for their growing needs. They are reaching the maximum number of resources per subscription, and they are having trouble organizing their resources within the single subscription. This is creating problems for managing their resources and fulfilling their end users’ expectations.
How did Azure help Contoso2?
To support their growth, Contoso2 has been collaborating with Azure to redesign their workloads across multiple subscriptions. By distributing their applications and resources across multiple subscriptions, Contoso2 can enhance resource management and avoid hitting subscription-based resource limits for their applications.
As part of their transition to multiple subscription, Contoso2 required the capability to connect cross-subscription resources to their load balancers. For instance, IP addresses in subscription A need to be connected to load balancers in subscription B. To help achieve this requirement, the customer was onboarded to the cross-subscription feature of Azure Load Balancer. With the cross-subscription load balancer, the Contoso2 could easily connect cross-subscription resources to their load balancer and fulfill all of the Contoso2’s requirements.
Get started with cross-subscription load balancing
Visit the cross-subscription load balancer overview to learn more about cross-subscription load balancing and how it can fit into your architecture.
Microsoft Tech Community – Latest Blogs –Read More
New on Azure Marketplace: June 7-13, 2024
We continue to expand the Azure Marketplace ecosystem. For this volume, 147 new offers successfully met the onboarding criteria and went live. See details of the new offers below:
Get it now in our marketplace
AbanteCart: AbanteCart is an open-source e-commerce platform with an intuitive admin interface, multiple payment gateways, and flexible product management. With AbanteCart, you can easily manage products, process orders, and engage with customers through a user-friendly interface and a wide range of powerful features.
Ackee Analytics: Ackee is a self-hosted, privacy-focused analytics tool for website owners, providing detailed insights into website traffic. It offers full control over data and infrastructure, simple tracking code, and various configuration options.
AI Governance System (AGS): AGS is a web and API-based solution that manages LLM usage across an organization’s workforce, ensuring privacy and security. It offers hassle-free deployment and benefits such as monitoring usage, audit and analysis on logs, and policy enforcement. It also integrates with SSO and supports role-based access control.
AlmaLinux 9 with Docker Compose: Docker Compose simplifies managing multi-container applications, improving team collaboration and reducing errors. It’s highly portable, fast, and scalable, providing stable application performance throughout development stages.
Apache Subversion: Apache Subversion (SVN) is an open-source version control system for tracking changes, reverting to previous versions, and collaborating on projects. Features include version control, atomic commits, branching and tagging, access control, and efficient handling of binary files.
Apex Stream Analyzer: Apex Stream Analyzer is a real-time data processing and machine learning platform that provides organizations with actionable insights, predictive analytics, and automated decision-making capabilities. It efficiently processes high-velocity data streams to enable real-time analytics.
Device Location API: Device Location API verifies the location of a SIM-based device without GPS or spoofing. It enables services and transactions by validating the device’s location, preventing fraud and enhancing user experience. The API is standardized, simplifying integration and expanding the footprint of businesses.
Number Verification API: Number Verification API is a secure authentication system that offers a seamless sign-up and login experience for users. It works on any internet-enabled mobile device connected to the carrier’s mobile data network and is available for devices connected to a Wi-Fi network. The standardized API simplifies integration and provides uniform access to other telco functions through a single interface.
Buddiz – AI for Schools and Higher Ed Colleges: Buddiz provides AI tools and solutions for schools, colleges, teachers, students, and parents. It also offers an advanced AI analytics dashboard for real-time analytics.
Debian 12 with Docker Compose: With Docker Compose, managing multi-container applications becomes easy, allowing you to define and coordinate multiple containers in a single YAML file. It also offers efficient collaboration, rapid application development, portability across environments, and extensive community and support. Trust Debian 12 with Docker Compose to manage your containers so that you can focus on developing innovative solutions.
Drupal 10.2.7 on Ubuntu 20.04: Built on principles of collaboration and innovation, Drupal is a flexible content management software used to create websites and applications. It offers easy content authoring, reliable performance, and excellent security. With thousands of add-ons, modules, and themes, it’s scalable and customizable.
Gdown on Debian 11: Gdown for Google Drive File Download on Debian 11 is a pre-configured image that simplifies downloading files from Google Drive using Gdown on Debian 11. It offers a consistent environment, is easy to use, and is supported by Debian cloud infrastructure. The image includes a Python library for downloading files, is open source, and is cost-effective. Apps4Rent provides around-the-clock support for any issues.
Gdown on Oracle Linux 8.8: Gdown for Google Drive File Download on Oracle Linux 8.8 is a pre-configured image that simplifies downloading files from Google Drive using Gdown. It offers a consistent environment and includes all necessary software. The image is easy to use and cost-effective, with around-the-clock support available from Oracle Linux experts. Key features include an open-source Python library and easy configuration.
Gdown on Red Hat 8.7: Gdown for Google Drive File Download on Red Hat 8.7 is a pre-configured image that simplifies downloading files from Google Drive using Gdown. It offers a consistent environment and includes all necessary software. The image is supported by Red Hat cloud infrastructure and is cost-effective. Apps4Rent provides around-the-clock support. Key features include an open-source Python library and ease of use.
Gdown on Ubuntu 20.04 LTS: Gdown for Google Drive File Download on Ubuntu 20.04 LTS is a pre-configured image that simplifies downloading files from Google Drive using Gdown on Ubuntu. It offers a consistent environment and includes all necessary software. The image is supported by Ubuntu cloud infrastructure, and Gdown is an open-source library suitable for various file download tasks.
Gdown on Ubuntu 22.04 LTS: Gdown for Google Drive File Download on Ubuntu 22.04 LTS is a pre-configured image that simplifies downloading files from Google Drive using Gdown on Ubuntu 22.04 LTS. It offers a consistent environment, is easy to use, and is supported by Ubuntu cloud infrastructure. The product is cost-effective, open-source, and comes with a Python library for downloading files from Google Drive. Apps4Rent provides around-the-clock support for any issues.
HR Suite 360 – Human Capital Management: HR Suite 360 offers a complete HR solution, from recruitment to performance management, with instant access to information through a user-friendly web portal. Features include employee records, contract management, absence tracking, performance monitoring, and a document repository.
IndiGO Electronic Document: IndiGo Electronic Document simplifies and automates the transfer of electronic documents, including RIPS and electronic invoices, for healthcare institutions. It ensures compliance with regulatory requirements and improves operational efficiency by centralizing information and reducing processing times and errors. The tool integrates seamlessly with RIPS and electronic invoices, making processes more efficient.
IntelliTag – Product Attribution Generation from Digital Assets Solution: IntelliTag, powered by GPT-4 Vision and OCR models, automates product attribute creation for heightened consumer engagement. It offers personalized recommendations, enriches product metadata for better search engine indexing and visibility, facilitates targeted marketing, aids in product discovery, provides insights into customer preferences and market trends, optimizes processes, reduces manual effort, and lowers operational costs.
Linux 7.9 with Docker Compose: Linux 7.9 with Docker Compose simplifies the development process by allowing developers to define and manage multi-container Docker applications using a single YAML file. With features like single file configuration, network isolation, scalability, reusability of configurations, and error localization, it is an ideal choice for simplifying and speeding up the development and deployment of multi-component applications.
Linux Stream 8 with Docker Compose: Docker Compose simplifies the process of developing and deploying complex applications consisting of many services. It allows you to define all your applications’ services in a single YAML file, making the management and configuration process much easier and clearer. With Docker Compose, you can focus on building innovative, high-quality applications without worrying about the complexities of infrastructure management.
Owncast: Owncast is a self-hosted live streaming server software with customizable branding, stable streaming performance, and integrated chat functionality. With Owncast, you can effortlessly broadcast live content, whether it’s gaming, events, or educational streams, fostering engaging interactions with your audience.
Primavera Project Control: Primavera Project Control is a reporting solution for Primavera P6 and Primavera Cloud. It offers advanced BI reporting, modeling, and analytics capabilities over native Primavera. Benefits include unlimited joins, integration with third-party data sources, and pre-built dashboards. It reduces time spent preparing reports and provides analytics insights.
Pylint on Debian 11: Apps4Rent offers a pre-configured image of Pylint on Debian 11 for effortless code analysis and linting. The image includes all necessary software and provides a consistent environment for easy use of the Pylint library.
Pylint on Ubuntu 22.04 LTS: Apps4Rent offers a pre-configured image of Pylint on Ubuntu 22.04 LTS for effortless code analysis and linting. The image includes all necessary software and is easy to deploy and configure. Pylint is an open-source and versatile library suitable for various code analysis tasks.
RENOVA2: RENOVA2 is a secure and reliable platform that measures individual and group emotional wellbeing and relates it to organizational performance. It uses advanced machine learning models trained on over 90 groups to identify prevalent emotional wellbeing conditions in the Latin American population. RENOVA2 provides clear and simple analysis of emotional wellbeing and mental health, offering personalized reports and recommendations to each employee and global analysis for the organization.
Sensoneo – Waste Management System: Sensoneo’s Waste Management System uses IoT sensors and a cloud-based platform to monitor waste levels in real time, optimizing collection routes and reducing operational costs. This smart solution aims to minimize environmental impact through data-driven waste management strategies.
Skypoint AI Platform for Social Services: Skypoint’s AI platform unifies all data sources into a data lakehouse, including structured and unstructured data, and external data. The platform offers generative AI copilot, benchmarking, market intelligence, business intelligence, data unification, task/process automation, and privacy compliance. Skypoint’s AI model is trained to contextually ground generative AI outputs, ensuring accuracy, security, and accessibility.
TriZetto Touchless Authorization Processing: TriZetto Touchless Authorization Processing (TTAP) is a cloud-based solution that automates healthcare prior authorization requests, streamlining the process and reducing turnaround time to minutes. It supports medical pre-planned inpatient and outpatient procedures, automates eligibility checks, and accommodates payer clinical guideline sets. TTAP is based on HIPAA EDI 278/275 authorization standards and integrates with QNXT and Facets Core and Utilization Management systems.
Ubuntu 20.04 LTS Server with LEMP: This Azure-based virtual machine comes with Ubuntu 20.04 LTS pre-configured with Nginx, MySQL server, and PHP. The LEMP stack creates a powerful web server environment, ideal for Ubuntu, with Nginx serving as the frontend proxy, MySQL as the backend database, and PHP enabling dynamic content generation. A security script is recommended for MySQL. Contact info@madarsonit.com for private offers or additional pricing options.
Ubuntu 20.04 with Docker Compose: Docker Compose simplifies the orchestration of multiple Docker containers, allowing for easy configuration of dependencies and parameters in one place. It enables quick deployment to various environments and manages multiple containers as a single unit. Docker Compose promotes efficient and collaborative software development while providing high-level security. It is an essential tool for developers and DevOps professionals looking to speed up deployment and management of multi-container applications.
Ubuntu 22.04 LTS Server with LEMP: This Microsoft Azure-based virtual machine comes with Ubuntu 22.04 LTS pre-configured with Nginx, MySQL server, and PHP. The LEMP stack creates a powerful web server environment, ideal for Ubuntu, with Nginx serving as the front-end proxy, MySQL as the back-end database, and PHP enabling dynamic content generation.
Ubuntu 22.04 LTS Server with MYSQL: This Microsoft Azure-based virtual machine comes with Ubuntu 22.04 LTS and the latest version of MySQL server pre-installed. MySQL is a versatile and reliable relational database management system used in web development, e-commerce, finance, telecommunications, and social media platforms. It is recommended to run a security script to remove insecure default settings and lock down access to the database system.
Ubuntu 22.04 LTS Server with Nginx: This Microsoft Azure-based virtual machine comes with Ubuntu 22.04 LTS and Nginx, a high-performance web server known for its scalability and efficient handling of concurrent connections. Nginx excels in web hosting, load balancing, microservices architecture, and streaming media. It enhances website performance, ensures high availability, and powers real-time communication.
Ubuntu 22.04 with Docker Compose: Docker Compose simplifies managing multi-container applications, making it easy to describe and run multiple containers as one single service. It allows you to describe dependencies in a single file, providing a consistent environment and simplifying the startup process. Docker Compose is scalable, flexible, and can be deployed on different platforms. Try Ubuntu 22.04 with Docker Compose today to simplify the process of managing containers and reduce the time required to set up your environment.
Ubuntu 23.04 LTS Server with LEMP: This Microsoft Azure-based virtual machine comes with a pre-configured Ubuntu 23.04 LTS image installed with Nginx, MySQL server, and PHP. The LEMP stack creates a powerful web server environment, ideal for Ubuntu, with Nginx serving as the front-end proxy, MySQL as the back-end database, and PHP as the server-side scripting language.
Ubuntu 23.10 LTS Server with LEMP: This Microsoft Azure-based virtual machine comes with an Ubuntu 23.10 LTS image pre-configured with Nginx, MySQL server, and PHP. The LEMP stack creates a powerful web server environment, ideal for Ubuntu, with Nginx serving as the front-end proxy, MySQL as the back-end database, and PHP enabling dynamic content generation.
Ubuntu 24.04 LTS Server with LEMP: This Microsoft Azure-based virtual machine comes with Ubuntu 24.04 LTS pre-configured with Nginx, MySQL server, and PHP. The LEMP stack creates a powerful web server environment, ideal for Ubuntu, with Nginx serving as the front-end proxy, MySQL as the back-end database, and PHP enabling dynamic content generation. A security script is recommended for MySQL.
VOS360 Live Streaming: Harmonic’s VOS360 is a cloud-based software as a service (SaaS) solution that simplifies video preparation and delivery. It offers all the necessary media processing functions, including ingest, playout, graphics, transcoding, encryption, and delivery. The service is highly efficient, scalable, and agile, with support for Harmonic APIs. It allows users to launch revenue-generating streaming services quickly, with superior video quality and geographic redundancy.
Vue.ai’s Intelligent Document Processing (IDP): Vue.ai is an AI platform that automates document processing and workflows, allowing teams to automate repetitive tasks, improve accuracy, and make data-driven decisions. It is easy to use, handles all types of data, and has powerful AI features such as pre-trained and customizable models. It benefits multiple teams and has flexible workflows and true automation.
xlrd on Debian 11: xlrd for Excel Data Reading on Debian 11 is a pre-configured image that offers a consistent environment for reading data from Excel files using xlrd. It includes all necessary software and is easy to deploy and configure. The solution is cost-effective and supported by Debian cloud infrastructure.
xlrd on Oracle Linux 8.8: xlrd for Excel Data Reading on Oracle Linux 8.8 is a pre-configured image that includes xlrd on Oracle Linux 8.8, providing a user-friendly and consistent experience for reading data from Excel files. It is easy to deploy and configure, cost-effective, and supported by Oracle Linux cloud infrastructure. The image offers a consistent environment, making it easy to use the xlrd library.
xlrd on Red Hat 8.7: xlrd for Excel Data Reading on Red Hat 8.7 is a pre-configured image that provides a user-friendly and consistent experience for reading data from Excel files using xlrd. It is easy to deploy and configure and comes with all necessary software. The image is supported by Red Hat cloud infrastructure and is a cost-effective solution for Excel data reading.
xlrd on Ubuntu 20.04 LTS: xlrd for Excel Data Reading on Ubuntu 20.04 LTS is a pre-configured image that provides a user-friendly and consistent experience for reading data from Excel files using xlrd on Ubuntu 20.04 LTS. It is easy to deploy and configure, cost-effective, and supported by Ubuntu cloud infrastructure.
xlrd on Ubuntu 22.04 LTS: xlrd for Excel Data Reading on Ubuntu 22.04 LTS is a pre-configured image that provides a user-friendly and consistent experience for reading data from Excel files using xlrd on Ubuntu. It includes all necessary software and is easy to deploy and configure.
Go further with workshops, proofs of concept, and implementations
Accelerated App Modernization with ABP Platform: Wai Technologies specializes in .NET application modernization using ABP framework. Modernization involves transitioning from monolithic to microservices architectures, updating interfaces, and improving ecosystem compatibility. Their approach includes cloud compatibility assessment, proof of concept development, feature matrix creation, CI/CD and containerized deployments, data migration, and consultancy on cloud deployments.
AI READY MVP: AI READY service unifies, governs and prepares data assets for challenging AI applications using Microsoft Fabric. ITI will build a production MVP to integrate, ingest, discover and transform data assets. Customized documentation and workshops are provided to ensure knowledge transfer and confident operation of the data and AI platform.
Azure Fabric Buildout: 1-Day Proof of Value: Microsoft Fabric enables organizations to turn complex data into actionable analytics and workloads through data mesh architecture. The Apex SME Solutions Team provides a proof of value engagement to deliver a Fabric use case, answer architecture questions, document decisions, provide a roadmap for leadership, and recommend additional services.
Copilot for GitHub: 14-Week Adoption Accelerator: Trace3 offers a tailored GitHub Copilot Acceleration Program to help enterprises adopt the AI-powered coding assistant. The program includes four phases and is designed to establish a foundation, vision, plan, and pilot for adopting GitHub Copilot. The tool empowers developers to focus on creative problem-solving, leading to a significant increase in productivity. The program is tailored to specific use cases and offers comprehensive support throughout the process.
Dell Implementation Services for Microsoft Azure Network Security: Dell Technologies Services offers a multi-layered defense strategy to enhance cloud network security. It reduces security risks and ensures a secure network environment by leveraging security experts. The service also provides comprehensive advisory and offloads implementation to experts.
Dell Implementation Services for Microsoft Defender for Cloud: Dell Technologies Services offers Microsoft Defender for Cloud implementations to help organizations monitor, detect, and respond to security threats in the cloud. They provide advisory services to align implementation with business objectives, deploy critical security solutions, and ease integration burdens. The solution also mitigates risk from code to the cloud with deployment into DevOps security management.
eVri/shiftz Azure Virtual Desktop Readiness Proof of Concept: Microsoft Azure Virtual Desktop is a cloud-based system that virtualizes Windows operating systems for enterprise customers. eVri’s proof of concept provides secure virtualized desktops and applications, leveraging Microsoft’s cloud services.
Fitzrovia IT – Azure Storage Consultancy: Fitzrovia IT offers consultancy services for Azure Storage, Microsoft’s cloud storage solution that offers highly available, scalable, durable, and secure storage for various data objects in the cloud. It provides redundancy, encryption, fine-grained access control, and global accessibility. Azure also handles hardware maintenance, updates, and critical issues.
IBM Panorama: IBM Panorama is a public health information system that enables disease surveillance, outbreak management, case management, and immunization information system. It’s a containerized, Microsoft Azure-hosted solution with Open Panorama APIs and advanced analytics components. IBM offers strategic framing sessions, design thinking workshops, and rapid prototyping and scaling to help clients leverage the solution.
Innovation Lab – AI Proof of Concept: Ensono’s Innovation Lab uses Microsoft Azure AI to identify and validate use cases, piloting solutions through prototypes to facilitate significant business transformation in as little as two weeks. They explore data to visualize and validate hypotheses, build prototypes, model data, train machine learning models, and integrate generative AI.
Knowledge Mining: 4-Week Proof of Value Implementation: Saxon AI’s Knowledge Mining tool uses Microsoft Cognitive Search and Azure OpenAI to analyze unstructured data in various formats. The tool automates cognitive tasks, simplifies insight access, and enables informed decision-making. The implementation process covers discovery, data ingestion and preparation, model development and training, and implementation and validation.
LBAN Cloud Cost Optimizer: Optimize your Azure cloud environment with Lotus Beta Analytics’ Cloud Cost Optimization Service. It offers comprehensive cost analysis, tailored optimization strategies, automated resource management, billing and usage monitoring, reserved instances and savings plans, waste elimination, cost governance and policies, continuous improvement, and expert support and guidance. Reduce cloud expenditures, enhance operational efficiency, and achieve a more predictable and manageable cloud budget.
Leadership in AI – Empowering Responsible AI Practice: 1-Day Workshop: Designed for executives with limited AI technical exposure, Noventiq’s workshop equips leaders with ethical AI strategies, regulatory insights, and practical solutions through real-life case studies showcasing how Microsoft AI maximizes emerging intelligent technology. Noventiq is a leading global solutions and services provider in digital transformation and cybersecurity.
Microsoft Azure for IoT and Retail: 4-Week JumpStart and Proof of Concept: Kopius’ engagement helps retailers invest in Microsoft’s retail technologies. They offer IoT solutions for customer insights, streamlined data processes, personalized marketing, and secure data solutions. They implement Azure IoT Hub, Power Apps, Power BI, and more. This proof of concept provides a tailored Azure environment and a proven strategy for success.
Microsoft Fabric Deployment: 4-Week Proof of Concept: Microsoft Fabric is a SaaS platform that offers data reporting, analytics, machine learning, and AI. Softlanding Solutions’ proof of concept helps data owners easily ingest, transform, and analyze their data. It defines the goal of one Power BI report as the MVP with a simplified pipeline and semantic model.
Migrate to Azure VMware Solution: The Partner Masters’ migration services streamline the transition of VMware infrastructure to Microsoft Azure, ensuring security and alignment with business goals. The process includes assessment, roadmap creation, migration execution, post-migration optimization, and continuous support. Deliverables include design, migration, and operations guides, as well as a test plan.
Peruzzi AI for Transport: 2-Hour Workshop: Learn how to improve your work efficiency and enhance your systems with Microsoft Azure AI. Peruzzi Solutions’ workshop covers common features, use cases, available tools, and future perspectives of Azure AI technology–perfect for ideation and understanding the possibilities of AI.
RAG Implementation: 4-Week Proof of Concept: Mindit Services’ proof of concept uses Microsoft Azure services to create a retrieval-augmented generation (RAG)-based chat solution. It integrates data into an AI system for insightful interactions via a custom chat interface. Key features include SSO integration, logs and stats tracking, and data privacy measures. The deliverables include a fully functional RAG-based chat application, integrated data source, secure SSO, and custom chat interface.
Version 1 – Decipher: Decipher automates the generation of functional and technical documentation of legacy codebases, streamlining application migration to Microsoft Azure. It features an intuitive UI, reads code directly from repositories, uses advanced AI models and vulnerability scanning tools, and generates comprehensive technical and business documentation. Version 1’s service includes a virtual assistant for real-time support and strategic insights for successful transformation.
Contact our partners
1000minds Health-Related Quality of Life Value Set
U.S. Denied Parties List (DPL)
ADAM AI Augmented Data Management Engine
AI App Development using LangChain & LangFlow
AI Assistants for Healthcare Facilities
AI LaunchPad: Custom AI Solutions for Office 365
APIVerve – Unified API Access for Streamlined Development
AVL Data Analytics for Battery
Azure Data Optimization Assessment
Cloudmore Commerce Platform for Direct CSP Providers
Devart Excel Add-in for HubSpot
Devart Excel Add-in for Magento
Devart Excel Add-in for Mailchimp
Devart Excel Add-in for Marketo
Devart Excel Add-in for NetSuite
Devart Excel Add-in for Oracle
Devart Excel Add-in for PostgreSQL
Devart Excel Add-in for QuickBooks Online
Devart Excel Add-in for Salesforce Marketing Cloud
Devart Excel Add-in for Shopify
Devart Excel Add-in for SQL Server
Devart Excel Add-in for SQLite
EnterpriseGPT with Smart Search
EnterpriseWeb-enhanced Code Support
Gen AI-powered Insurance Underwriter
Gen AI-based Smart Credit Underwriter
GravityZone Security Virtual Appliance (SVA) Multi-Platform
U.S. Publicly Listed Company Hierarchy
InsightStore Consumer Analytics Platform
Keyfactor Command for IoT Test Drive
Maxava Migrate Live: 3-Month IBM i Migration to Skytap on Azure
Microsoft Fabric: 4-Week Assessment, Proof of Concept, and Pilot
On-Premises Active Directory Infra Assessment
OnePortal – Digital Grid Connection Requests
OneTrust Data Activation and Compliance Risk Platform
oraya insights – Market Monitoring Your Way
Real-Time Production Monitoring and Analytics
SAGE: Consumer Insights AI Assistant
Strengthen Your Azure Security: 3-Day Comprehensive Risk Assessment
Transtechnology custom OpenAI API Playground for Technology Innovation
Copilot for Microsoft 365 Plugin for ITSM
WithYouWithMe Potential: A Skills-based Approach
XTEL AI Enterprise Analytics Suite
This content was generated by Microsoft Azure OpenAI and then revised by human editors.
Microsoft Tech Community – Latest Blogs –Read More
Advanced Project Planning with Microsoft Planner: Dependencies and Critical Path in Timeline View
Advanced Task Dependencies
Finish-to-Start (FS): Task 3 starts after Task 2 finishes (default dependency).
Finish to Start
Finish-to-Finish (FF): Task 3 finishes when Task 2 finishes.
Finish to Finish
Start-to-Start (SS): Task 3 starts when Task 2 starts.
Start to Start
Start-to-Finish (SF): Task 3 finishes when Task 2 starts.
Start to Finish
Lead and Lag Times: Lead time allows a task to start before its predecessor finishes, enabling overlap, while lag time introduces a delay between tasks.
Steps to Set Up Dependencies:
Create Tasks: Begin by listing all tasks within your plan.
Link Tasks: On a task row, under the ‘Depends on‘ or ‘Dependents (after)’ column, click on the cell to choose the task the current task is dependent on followed by type of dependency (FS, SS, FF, SF).
Add Lead and Lag Times: You can also add lead and lag times through the same menu in days, hours, minutes, weeks or months.
Viewing Critical Path on Timeline
Book Venue: 3/5 – 3/10
Write Invitation list: 3/5 – 3/15
Send Invitation: 3/10 – 3/20
Steps to View Critical Path in Microsoft Planner:
Navigate to the Timeline view.
Toggle on the critical path filter to highlight critical tasks in red.
Adding critical path
Ready to start using it all?
Dependencies, Critical Path and ability to view them both in Timeline View in Microsoft Planner are more than a feature; they’re a strategic tool that empowers you to tackle complex projects with confidence. If you currently use Microsoft 365 and Microsoft Teams, explore the new Planner app in Teams, and try the premium capabilities from within the Planner app by simply clicking on the diamond icon within the app where you can begin your free 30-day trail of these advanced capabilities or proceed with requesting a premium license. If you already have a Project license you’re already equipped with access to the new Planner’s premium capabilities corresponding to the license you have.
Share your Feedback
Resources
To get the inside scoop on the new Planner watch the Meet the Makers and our AMA.
Watch the new Planner demos for inspiration on how to get the most out of the new Planner app in Microsoft Teams.
Check out the new Planner adoption website.
We’ve got a lot more ‘planned’ for the new Planner this year! Stay tuned to the Planner Blog – Microsoft Community Hub for news.
For future updates coming to the new Planner app, please view the Microsoft 365 roadmap here.
Learn about Planner and Project plans and pricing here.
Read the FAQs here.
Microsoft Tech Community – Latest Blogs –Read More
CUSOLVER_STATUS_INTERNAL_ERROR with RTX 4080 Super in MATLAB 2022a C MEX Function
Hello,
I’m encountering a problem when running a CUDA-based C MEX function in MATLAB 2022a on a machine equipped with an RTX 4080 Super GPU. The specific error occurs when executing the line:
cusolverStatus_t status = cusolverDnCreate(&handle);
Here are the details:
The MEX function compiles successfully using the mexcuda command.
The same code operates correctly on this machine when using an RTX 2080Ti GPU with exactly the same software setup.
When the RTX 4080 Super is used, this error appears, even though the function runs without issues in Visual Studio, indicating that CUDA (Version 12.5) is properly configured on my system.
Upgrading to MATLAB 2024a resolves the issue, suggesting a compatibility problem with MATLAB 2022a. However, I am restricted to using MATLAB 2022a due to dependencies on other external software.
Additional context:
NVIDIA Driver Version: 555.99
CUDA Toolkit Version: 12.5
Has anyone else experienced similar issues with newer NVIDIA GPUs in MATLAB 2022a? Any insights or suggestions on how to resolve or circumvent this error with the RTX 4080 Super would be greatly appreciated.
Thank you!Hello,
I’m encountering a problem when running a CUDA-based C MEX function in MATLAB 2022a on a machine equipped with an RTX 4080 Super GPU. The specific error occurs when executing the line:
cusolverStatus_t status = cusolverDnCreate(&handle);
Here are the details:
The MEX function compiles successfully using the mexcuda command.
The same code operates correctly on this machine when using an RTX 2080Ti GPU with exactly the same software setup.
When the RTX 4080 Super is used, this error appears, even though the function runs without issues in Visual Studio, indicating that CUDA (Version 12.5) is properly configured on my system.
Upgrading to MATLAB 2024a resolves the issue, suggesting a compatibility problem with MATLAB 2022a. However, I am restricted to using MATLAB 2022a due to dependencies on other external software.
Additional context:
NVIDIA Driver Version: 555.99
CUDA Toolkit Version: 12.5
Has anyone else experienced similar issues with newer NVIDIA GPUs in MATLAB 2022a? Any insights or suggestions on how to resolve or circumvent this error with the RTX 4080 Super would be greatly appreciated.
Thank you! Hello,
I’m encountering a problem when running a CUDA-based C MEX function in MATLAB 2022a on a machine equipped with an RTX 4080 Super GPU. The specific error occurs when executing the line:
cusolverStatus_t status = cusolverDnCreate(&handle);
Here are the details:
The MEX function compiles successfully using the mexcuda command.
The same code operates correctly on this machine when using an RTX 2080Ti GPU with exactly the same software setup.
When the RTX 4080 Super is used, this error appears, even though the function runs without issues in Visual Studio, indicating that CUDA (Version 12.5) is properly configured on my system.
Upgrading to MATLAB 2024a resolves the issue, suggesting a compatibility problem with MATLAB 2022a. However, I am restricted to using MATLAB 2022a due to dependencies on other external software.
Additional context:
NVIDIA Driver Version: 555.99
CUDA Toolkit Version: 12.5
Has anyone else experienced similar issues with newer NVIDIA GPUs in MATLAB 2022a? Any insights or suggestions on how to resolve or circumvent this error with the RTX 4080 Super would be greatly appreciated.
Thank you! mex, mexcuda, cuda, cusolver MATLAB Answers — New Questions
I want to calculate the eigenvalues form the very huge sparse mass and stiffness matrix.
I have mass and stiffness matrix in sparse format since the size of the matrix is too big.
I want to claculate the eigenvalues from them in the sparse format only. How to do so?I have mass and stiffness matrix in sparse format since the size of the matrix is too big.
I want to claculate the eigenvalues from them in the sparse format only. How to do so? I have mass and stiffness matrix in sparse format since the size of the matrix is too big.
I want to claculate the eigenvalues from them in the sparse format only. How to do so? sparse matrixs, eigenvalues MATLAB Answers — New Questions
Solidification Heat Transfer Model using PDE Toolbox
Hello,
I would like to model the solidifcation of a material at initial temperature that is cooled down in outer space up to by radiation transfer on the surface. Due to the range of temperature, a phase change happens inside my domain. The material I use is basalt and I know from documentation those values :
Specific heat of solid basalt:
Latent heat of crystallization of basaltic magma:
Crystallization temperature of basalt: ,
I have already implemented the following Finite Element Model but would now like to take into account the phase change.
%% Parameters
rho=1000; % (kg/m**3) Density
cp=1000; % (J/kg/K) Specific heat
T0=2000; % (K) Initial temperature
T_out=300; % (K) outer space temperature
eps=1; % Emissivity
dt=200; % (s) time-step
day=3600*24;
tmax=6*day;
tlist = [0:dt:tmax];
lambda = @(location,state) (0.46+0.95*exp(-2.3e-3*state.u));
%% Model
thermalModel = createpde(‘thermal’,’transient’);
gm = multisphere(1);
thermalModel.Geometry=gm;
generateMesh(thermalModel,’Hmax’,0.2,"GeometricOrder","quadratic");
thermalModel.StefanBoltzmannConstant = 5.670373E-8;
thermalIC(thermalModel,T0);
thermalProperties(thermalModel,’ThermalConductivity’,lambda,’MassDensity’,rho,’SpecificHeat’,cp);
thermalBC(thermalModel,"Face",1,"Emissivity",@(region,state) eps,"AmbientTemperature",T_out, "Vectorized","on");
thermalResults = solve(thermalModel,tlist);
Does anyone happen to know how to model the solidifcation inside the domain when it’s cooled down over time ? Knowing that this phenomenon would start to occur at crystallization temperature of basalt. I thought about the internalHeatSource function but can’t figure how to properly implement it.
Many thanks for any help you can give me !
Regards,
TomHello,
I would like to model the solidifcation of a material at initial temperature that is cooled down in outer space up to by radiation transfer on the surface. Due to the range of temperature, a phase change happens inside my domain. The material I use is basalt and I know from documentation those values :
Specific heat of solid basalt:
Latent heat of crystallization of basaltic magma:
Crystallization temperature of basalt: ,
I have already implemented the following Finite Element Model but would now like to take into account the phase change.
%% Parameters
rho=1000; % (kg/m**3) Density
cp=1000; % (J/kg/K) Specific heat
T0=2000; % (K) Initial temperature
T_out=300; % (K) outer space temperature
eps=1; % Emissivity
dt=200; % (s) time-step
day=3600*24;
tmax=6*day;
tlist = [0:dt:tmax];
lambda = @(location,state) (0.46+0.95*exp(-2.3e-3*state.u));
%% Model
thermalModel = createpde(‘thermal’,’transient’);
gm = multisphere(1);
thermalModel.Geometry=gm;
generateMesh(thermalModel,’Hmax’,0.2,"GeometricOrder","quadratic");
thermalModel.StefanBoltzmannConstant = 5.670373E-8;
thermalIC(thermalModel,T0);
thermalProperties(thermalModel,’ThermalConductivity’,lambda,’MassDensity’,rho,’SpecificHeat’,cp);
thermalBC(thermalModel,"Face",1,"Emissivity",@(region,state) eps,"AmbientTemperature",T_out, "Vectorized","on");
thermalResults = solve(thermalModel,tlist);
Does anyone happen to know how to model the solidifcation inside the domain when it’s cooled down over time ? Knowing that this phenomenon would start to occur at crystallization temperature of basalt. I thought about the internalHeatSource function but can’t figure how to properly implement it.
Many thanks for any help you can give me !
Regards,
Tom Hello,
I would like to model the solidifcation of a material at initial temperature that is cooled down in outer space up to by radiation transfer on the surface. Due to the range of temperature, a phase change happens inside my domain. The material I use is basalt and I know from documentation those values :
Specific heat of solid basalt:
Latent heat of crystallization of basaltic magma:
Crystallization temperature of basalt: ,
I have already implemented the following Finite Element Model but would now like to take into account the phase change.
%% Parameters
rho=1000; % (kg/m**3) Density
cp=1000; % (J/kg/K) Specific heat
T0=2000; % (K) Initial temperature
T_out=300; % (K) outer space temperature
eps=1; % Emissivity
dt=200; % (s) time-step
day=3600*24;
tmax=6*day;
tlist = [0:dt:tmax];
lambda = @(location,state) (0.46+0.95*exp(-2.3e-3*state.u));
%% Model
thermalModel = createpde(‘thermal’,’transient’);
gm = multisphere(1);
thermalModel.Geometry=gm;
generateMesh(thermalModel,’Hmax’,0.2,"GeometricOrder","quadratic");
thermalModel.StefanBoltzmannConstant = 5.670373E-8;
thermalIC(thermalModel,T0);
thermalProperties(thermalModel,’ThermalConductivity’,lambda,’MassDensity’,rho,’SpecificHeat’,cp);
thermalBC(thermalModel,"Face",1,"Emissivity",@(region,state) eps,"AmbientTemperature",T_out, "Vectorized","on");
thermalResults = solve(thermalModel,tlist);
Does anyone happen to know how to model the solidifcation inside the domain when it’s cooled down over time ? Knowing that this phenomenon would start to occur at crystallization temperature of basalt. I thought about the internalHeatSource function but can’t figure how to properly implement it.
Many thanks for any help you can give me !
Regards,
Tom pde, heat transfer, solidification, latent, heat, temperature MATLAB Answers — New Questions
Can I talk with Paytm customer care
Easily find all customer support 098312-29061 options under the “Help & Support” section. Whether you prefer chat support, or email, or need our phone number, everything’s a tap away.
Easily find all customer support 098312-29061 options under the “Help & Support” section. Whether you prefer chat support, or email, or need our phone number, everything’s a tap away. Read More
Use XE Referral Code {XEREF-IX859YPO}: And Get $50 Sign up Bonus + $25 Referral Bonus
Get a $50 Sign up bonus when you open a Xe Money Transfer account with my exclusive referral code {XEREF-IX859YPO} and transfer at least $1000. The $25 bonus will be sent into your email once you transfer at least $1000 on Xe Money Tranfer. And also you will get $25 Referral bonus when you refer to your friends and Family members.
Get a $50 Sign up bonus when you open a Xe Money Transfer account with my exclusive referral code {XEREF-IX859YPO} and transfer at least $1000. The $25 bonus will be sent into your email once you transfer at least $1000 on Xe Money Tranfer. And also you will get $25 Referral bonus when you refer to your friends and Family members. Read More
What To Do When stuck in Quick-Books Error 1601 after windows update?
I’m encountering Quick-Books Error 1601 during installation or update. What steps can I take to troubleshoot and resolve this issue?
I’m encountering Quick-Books Error 1601 during installation or update. What steps can I take to troubleshoot and resolve this issue? Read More
Intune Endpoint Manager Android or IOS App?
Good Morning,
Is there an Endpoint manager app or something coming soon? I have download the intune, company portal and a few others and I cannot find one that controls devices just ones that control users.
Was hoping to find a app were I could see devices and things like LAPS or Bitlocker keys since we arent always near a computer when we need it.
Is there a thing or do I just have to go the website every single time from my phone?
Good Morning, Is there an Endpoint manager app or something coming soon? I have download the intune, company portal and a few others and I cannot find one that controls devices just ones that control users. Was hoping to find a app were I could see devices and things like LAPS or Bitlocker keys since we arent always near a computer when we need it. Is there a thing or do I just have to go the website every single time from my phone? Read More
Securing Terraform State in Storage Account
Hey guys,
we need to push our terraform state file into an azure remote backend (Storage Container). While we read about many resources like here, we are curious to know if there are any tutorials and explanations for securing the access of the storage account from outside. Basically, we wanted to disallow any public access and only allow specific IP Addresses, but I guess that’s a bit difficult to manage when running CI/CD pipelines. We also wanted to allow only a specific virtual network, but then the question is how to connect from our local machine to this virtual network, same is for private endpoints. Are there any suggestions and resources?
Many thanks!
Hey guys, we need to push our terraform state file into an azure remote backend (Storage Container). While we read about many resources like here, we are curious to know if there are any tutorials and explanations for securing the access of the storage account from outside. Basically, we wanted to disallow any public access and only allow specific IP Addresses, but I guess that’s a bit difficult to manage when running CI/CD pipelines. We also wanted to allow only a specific virtual network, but then the question is how to connect from our local machine to this virtual network, same is for private endpoints. Are there any suggestions and resources? Many thanks! Read More
Planner Tasks from Project for the web installed in another environment
Hello,
We have a Project for the Web (planner Premium) instance running in a different environment.
This environment is for our IT projects.
Unfortunately, the tasks assigned there are not displayed in the Planner app in Teams. As it stands, only tasks created in the standard environment are synchronized.
Does anyone know whether it is possible to set that tasks from another environment are also taken into account?
Translated with DeepL.com (free version)
Greetings
Hello, We have a Project for the Web (planner Premium) instance running in a different environment.This environment is for our IT projects.Unfortunately, the tasks assigned there are not displayed in the Planner app in Teams. As it stands, only tasks created in the standard environment are synchronized.Does anyone know whether it is possible to set that tasks from another environment are also taken into account?Translated with DeepL.com (free version) Greetings Read More
Tilaa uutiskirje kumppanikoulutuksista
Vihdoinkin voit saada automaattisesti tiedon tuoreimmista EMEA-alueen kumppanikoulutuksista omaan postilaatikkoosi noin kahden viikon välein. Koulutuksia on eri ratkaisualueista niin myyjille kuin teknisillekin henkilöille. Hyödynnä laaja tarjoama ja kehitä omaa osaamistasi.
Tilaa uutiskirje tästä linkistä.
Microsoft Tech Community – Latest Blogs –Read More
data extraction from a cell – indexing
Hi
in the MATLAB programming course (https://matlabacademy.mathworks.com/R2024a/portal.html?course=mlpr#chapter=2&lesson=6§ion=1) it is explained how cell array indexing works:
"You can index into a cell array using standard MATLAB indexing with parentheses, (). this returns a portion of the orgiginal cell array, and is therefore itself a cell array.
You can access the contents of cells in a cell array by indexing with curly braces, {}, rather than parentheses, ()."
Does this mean that { } dereference a pointer whereas () gives a pointer?
LisaHi
in the MATLAB programming course (https://matlabacademy.mathworks.com/R2024a/portal.html?course=mlpr#chapter=2&lesson=6§ion=1) it is explained how cell array indexing works:
"You can index into a cell array using standard MATLAB indexing with parentheses, (). this returns a portion of the orgiginal cell array, and is therefore itself a cell array.
You can access the contents of cells in a cell array by indexing with curly braces, {}, rather than parentheses, ()."
Does this mean that { } dereference a pointer whereas () gives a pointer?
Lisa Hi
in the MATLAB programming course (https://matlabacademy.mathworks.com/R2024a/portal.html?course=mlpr#chapter=2&lesson=6§ion=1) it is explained how cell array indexing works:
"You can index into a cell array using standard MATLAB indexing with parentheses, (). this returns a portion of the orgiginal cell array, and is therefore itself a cell array.
You can access the contents of cells in a cell array by indexing with curly braces, {}, rather than parentheses, ()."
Does this mean that { } dereference a pointer whereas () gives a pointer?
Lisa extract data, cell array MATLAB Answers — New Questions
Regression learner response plot?
So I am using the regression learner app, and it provides the plot that I want, however I would like to use that plot in the main matlab section, so I can change the titles, axis and colours of the graph.
I had a look for the data that it plots when exported, however could not find it.
Any advice?So I am using the regression learner app, and it provides the plot that I want, however I would like to use that plot in the main matlab section, so I can change the titles, axis and colours of the graph.
I had a look for the data that it plots when exported, however could not find it.
Any advice? So I am using the regression learner app, and it provides the plot that I want, however I would like to use that plot in the main matlab section, so I can change the titles, axis and colours of the graph.
I had a look for the data that it plots when exported, however could not find it.
Any advice? regression learner, linear, regression, plot, response plot, app, neural network MATLAB Answers — New Questions
Matlab fitnet function ignores some input variables that contain NaN values
Matlab fitnet function ignores some input variables that contain NaN values.
My input layer contains some points with NaN values. I am aware that fitnet will not handle NaN values. However, when I get the input weights (IW) from the network with ten predictors, the input weights matrix eliminates two predictors and I don’t know which ones.Matlab fitnet function ignores some input variables that contain NaN values.
My input layer contains some points with NaN values. I am aware that fitnet will not handle NaN values. However, when I get the input weights (IW) from the network with ten predictors, the input weights matrix eliminates two predictors and I don’t know which ones. Matlab fitnet function ignores some input variables that contain NaN values.
My input layer contains some points with NaN values. I am aware that fitnet will not handle NaN values. However, when I get the input weights (IW) from the network with ten predictors, the input weights matrix eliminates two predictors and I don’t know which ones. fitnet-matlan, neural networks, input-weights, nan-values MATLAB Answers — New Questions
Plotting 2 streamlines on the same plot
Hi everyone.
I need to plot 2 different streamlines on the same plot. I was able to do it, but I can’t insert a propper legend. My plot code is:
figure
a=streamline(XYe);
hold on
area(circ(1,:),circ(2,:),’FaceColor’,Col,’EdgeColor’,Col)
hold off
xlabel(‘x/a [adim.]’,’FontSize’,25)
ylabel(‘y/a [adim.]’,’FontSize’,25)
set(a,’Color’,’k’)
legend(‘Stokes’,’Euler’)
But the legend doesn’t show the color of the lines correctly (both lines on the legend are blue, the default color of the streamline, and ‘Euler’ doesn’t appear black on the legend, but it does appear black on the plot).
I know the use of set and the figures is not appropiate, and I know this is just a detail, but that’s my problem, I want to understand figures, and "set". It would be very helpful if you could help me plot this, and also help me understand the mechanism of figures.
Thanks in advance.
JoséHi everyone.
I need to plot 2 different streamlines on the same plot. I was able to do it, but I can’t insert a propper legend. My plot code is:
figure
a=streamline(XYe);
hold on
area(circ(1,:),circ(2,:),’FaceColor’,Col,’EdgeColor’,Col)
hold off
xlabel(‘x/a [adim.]’,’FontSize’,25)
ylabel(‘y/a [adim.]’,’FontSize’,25)
set(a,’Color’,’k’)
legend(‘Stokes’,’Euler’)
But the legend doesn’t show the color of the lines correctly (both lines on the legend are blue, the default color of the streamline, and ‘Euler’ doesn’t appear black on the legend, but it does appear black on the plot).
I know the use of set and the figures is not appropiate, and I know this is just a detail, but that’s my problem, I want to understand figures, and "set". It would be very helpful if you could help me plot this, and also help me understand the mechanism of figures.
Thanks in advance.
José Hi everyone.
I need to plot 2 different streamlines on the same plot. I was able to do it, but I can’t insert a propper legend. My plot code is:
figure
a=streamline(XYe);
hold on
area(circ(1,:),circ(2,:),’FaceColor’,Col,’EdgeColor’,Col)
hold off
xlabel(‘x/a [adim.]’,’FontSize’,25)
ylabel(‘y/a [adim.]’,’FontSize’,25)
set(a,’Color’,’k’)
legend(‘Stokes’,’Euler’)
But the legend doesn’t show the color of the lines correctly (both lines on the legend are blue, the default color of the streamline, and ‘Euler’ doesn’t appear black on the legend, but it does appear black on the plot).
I know the use of set and the figures is not appropiate, and I know this is just a detail, but that’s my problem, I want to understand figures, and "set". It would be very helpful if you could help me plot this, and also help me understand the mechanism of figures.
Thanks in advance.
José streamline, plot, figure, legend, color MATLAB Answers — New Questions
Users cant create private plans
Hi all,
I am trying to understand why users cannot create a private plan at all with MS Planner. As an administrator, I have options below:
However, standard users can see the below. They have – “add to existing group” as required. That means that I have to create a group for a user that want to use it for tracking his project personally/privately and then assign it.
What is the reason for this? How to deal with it please?
thank you for any advice
Hi all, I am trying to understand why users cannot create a private plan at all with MS Planner. As an administrator, I have options below: However, standard users can see the below. They have – “add to existing group” as required. That means that I have to create a group for a user that want to use it for tracking his project personally/privately and then assign it. What is the reason for this? How to deal with it please? thank you for any advice Read More
SMIME Extension Error in EDGE
I am getting an error while trying to test Out SMIME Extension in OWA (Outlook on the web)
-S/mime works fine in Outlook Desktop Client, Issue is only for OWA
-I have installed the extension using the link:
Microsoft S/MIME – Microsoft Edge Addons
-Attempting to access S/mime page in OWA settings before installation(or while extension disabled) shows the attached:
-Link: https://outlook.office.com/mail/options/mail/smime
-After Installation(enabling), It just keeps loading forever, Never stops or returns the error
Accessing the Extension page: edge://extensions -> Select Extension -> Select “errors” shows the below:
Error while receiving settings: [object Object]
“Unchecked runtime.lastError: Access to the specified native messaging host is forbidden.”
Any idea? What could be going wrong here? (Keep in mind, S/mime works fine in Outlook Desktop Client)
I am getting an error while trying to test Out SMIME Extension in OWA (Outlook on the web) -S/mime works fine in Outlook Desktop Client, Issue is only for OWA -I have installed the extension using the link:Microsoft S/MIME – Microsoft Edge Addons -Attempting to access S/mime page in OWA settings before installation(or while extension disabled) shows the attached:-Link: https://outlook.office.com/mail/options/mail/smime -After Installation(enabling), It just keeps loading forever, Never stops or returns the error Accessing the Extension page: edge://extensions -> Select Extension -> Select “errors” shows the below: Error while receiving settings: [object Object]”Unchecked runtime.lastError: Access to the specified native messaging host is forbidden.” Any idea? What could be going wrong here? (Keep in mind, S/mime works fine in Outlook Desktop Client) Read More
