Create ADLS Gen 2 Storage Account for Azure Data Lake
Here’s how you can see the Cost Details for a Quote Line Item in Project Operations!
Brought to you by Dr. Ware, Microsoft Office 365 Silver Partner, Charleston SC.
Microsoft Azure Storage Explorer | Getting Started
Here’s how you can setup and get started with Microsoft Azure Storage Explorer!
Brought to you by Dr. Ware, Microsoft Office 365 Silver Partner, Charleston SC.
Lesson Learned #311:Error-1117 the request could not be performed because of an I/O device error
This article is contributed. See the original author and article here.
Our customer got the following error message performing a backup very large database to a blog storage – Error-1117 the request could not be performed because of an I/O device error.
In this situation, you may reach this error depending on the size of the blob storage, in this situation, please, run the backup in stripping backup format “Azure Blob Storage block blobs have 200GB size limitation. If your database is bigger than 200GB, you should use stripped backup by providing several URL locations where parts of the backup will be placed” Native database backup in Azure SQL Managed Instance | Microsoft Learn
Also, remember at the moment of the restore if you have your own BYOK that you might have asymmetric key with thumbprint error. Please go through links which will help you how to do it.
https://docs.microsoft.com/en-us/azure/azure-sql/database/transparent-data-encryption-byok-overview#database-backup-and-restore-with-customer-managed-tde
https://techcommunity.microsoft.com/t5/azure-sql/take-a-copy-only-backup-of-tde-protected-database-on-azure-sql/ba-p/643407
Enjoy!
Getting started with ML.NET
This article is contributed. See the original author and article here.
What is ML.NET
Machine learning (ML) is everywhere. We use ML empowered applications every day: when choosing the next TV series to watch based on Netflix recommendations for example, or when asking Alexa to play our favorite song. Soon every application on every platform will incorporate some ML capabilities, empowering the application itself and making it smarter.
This is the key reason why ML has been added into the .NET ecosystem a few years back, by creating an open-source framework (ML.NET) which enables developers to train, build and ship custom ML models for a wide range of scenarios (sentiment analysis, forecasting, recommendations and more). Since then, the framework has evolved a lot, incorporating new features, with the preview release of the latest version (ML.NET 3.0) being announced a few weeks ago.
Now, you could argue that there’s tons of ML frameworks over there, so what’s the difference between ML.NET and the most common frameworks for data scientists (like scikit-learn, pytorch or tidyverse)?
- ML.NET is not designed for data scientists only: people with different levels of ML understanding can empower their .NET solutions with some kind of AI. And this is immediately clear when thinking about the languages used for ML models development in this framework (C# and F#) which are the standard languages for .NET ecosystem, but not the languages traditionally used for data science and modeling – Python and R.
- Another characteristic of this framework, which makes explicit the mission of democratizing the art of ML, is the availability of a graphical user interface as a Visual Studio component (called Model Builder) to build and deploy ML models in a few clicks.
- Also, key objective of this framework is to make ML consumable, by providing tools to automatize not only the model training process but also some of the classical MLOps tasks, like model maintenance (retraining) and integration of the model in a client application.
Model builder
We mentioned that one of the key differentiators of this framework is Visual Studio Model Builder feature. And it is also the best place to start for ML beginners that wish to train a custom model on their scenario and data, and then consume it in their application.
After installing the Model Builder component, you can open its user interface (UI) from Visual Studio by right clicking on the project item of your solution in Solution Explorer and then selecting “Add -> Machine Learning”.
At this point, Model Builder provides you with a step-by-step procedure to import data, train and evaluate custom ML models for the scenario that best suits your application’s needs.
You can choose between different kinds of scenarios, including:
- Classical ML use cases – like classification or regression: Model Builder uses Automated ML to train multiple models from your data in parallel and then pick the best one according to pre-defined evaluation metrics.
- Deep learning use cases – like image or text classification: Model Builder uses your data to fine tune pre-trained deep learning models (e.g. NAS-BERT or Inception).
In any case, once training is completed, Model Builder generates the code that you can use to re-train the model (for example to tune hyperparameters or update the dataset) and consume it in your app.
ML.NET API & AutoML
The ML.NET API enables you to integrate machine learning into your new or existing .NET applications by installing the Microsoft.ML NuGet package. This option might be for you if you’re familiar with ML and looking for ways to best leverage ML in your application, with the familiarity of the .NET platform in C# or F#.
ML.NET is supported on:
- .NET
- .NET Core 2.0 and above
- .NET Framework 4.6.1 and above.
You can also automate the process of applying machine learning, known as AutoML through the API. The typical ML workflow includes the iterative steps of preprocessing, training, and evaluation, repeating these steps until it reaches the desired results. With each iteration optimization techniques applied during the training and evaluation phases select the best algorithm and hyperparameters. If you’re a beginner to ML but want to use AutoML in your application, you can use the defaults provided in the API and let AutoML handle the rest. The API also enables experienced users to extend the defaults and customize the model. The AutoML API can be found within the Microsoft.ML.AutoML package on NuGet.
Model deployment
When your model is complete, there are various options for deploying it to the cloud with Azure. We’ll walk through how you can deploy your model to the cloud as a web API in Azure App Service, Azure Container Apps or Azure Functions.
Consuming a trained model begins with saving and exporting it. An exported model can be used with any .NET application or Azure Function through the ML.NET API in C# or F#. To use it, you’ll first add the exported model to the project, then use the API to import and load the model and finally add input data to make predictions. Refer to the documentation on options and tutorials on how to export and load your models with either the ML.NET Model Builder or ML.NET API.
In an ASP.NET application, whether it’s a web app like Razor Pages or an API, you’d use a controller class to access your trained model to use any input from a HTTP request or return predictions in a response, in addition to other controller tasks. To deploy your ASP.NET application to Azure, first build it locally in Visual Studio, then deploy it to App Service or Azure Container App through Visual Studio’s Azure development workload.
With Azure Functions you can run small pieces of code in a serverless environment in the cloud via triggers, which will run the functions code and define how it’s invoked. This is a cost-effective option for consuming a model across various applications. One option for integrating a model into a function is through an HTTP trigger, which invokes the function via an HTTP request, where your trained model can use input data from an HTTP request and send predictions in a response. With the Azure development workload in Visual Studio, you can create and test a local function with your trained model, and finally deploy your function to Azure.
How to get started?
ML.NET enables all .NET developers any level of data science experience can build ML models with the tools and platform they know. With a variety of scenarios to choose from, you load data to build a model with the Model Builder in Visual Studio or the ML.Net API. You can build ML pipelines that automate iterative steps within the workflow, creating the best version of your model. ML powered projects can be deployed to various platforms, including the cloud where a deployed ML.NET model can consume new data and return results, enabling end users to leverage ML within your application.
| ML knowledge level | Recommended tool | Useful resources |
| Beginner | Model Builder
(low code) |
|
| Intermediate/advanced | ML.NET AutoML APIs
(full code) |
|
ISC Releases Security Advisories for Multiple Versions of BIND 9
This article is contributed. See the original author and article here.
The Internet Systems Consortium (ISC) has released security advisories that address vulnerabilities affecting multiple versions of the ISC’s Berkeley Internet Name Domain (BIND) 9. A remote attacker could exploit these vulnerabilities to potentially cause denial-of-service conditions and system failures.
CISA encourages users and administrators to review the following ISC advisories CVE-2022-3094, CVE-2022-3488, CVE-2022-3736, and CVE-2022-3924 and apply the necessary mitigations.
Create a Digital Contact Center in seconds with the Customer Service free trial
This article is contributed. See the original author and article here.
We know how important it can be to see a product, test drive all its capabilities, and explore different features before you are ready to buy. With the Dynamics 365 Customer Service trials, you can quickly and easily experience the product for free. There is no credit card required or software to install! Here is what you get:
- A tenant with preloaded sample data that you can modify, plus the ability to create new data
- The ability to visualize the power of out-of-box analytics based on the sample data
- A voice and chat channel experience for both the customer and the agent that simulates real contact center processes with no configuration
You’ll learn how these intelligent business applications go beyond traditional customer relationship management (CRM) systems to help you adapt, innovate, and delight every customer. You can even make customizations to the trial to see how the product would look within your organization.
In the trial, you’ll discover how to:
- Engage customers and provide omnichannel support
- Empower agents with the right information at the right time for quick resolutions
- Monitor and improve operations with insights for increased productivity
Sign up, launch the product, and then follow along with curated tours that show the breadth and depth of Dynamics 365 Customer Service capabilities without any manual effort required.
How to Sign up
You can sign up for a trial with a work account (onmicrosoft) here or a personal (Gmail, Outlook, Yahoo) account here. To learn more, watch this short demo.
There are a few differences in the trial experience depending on whether you log in with a work account or a personal account. With a personal account, you will have access to the full trial except the ability to do the following:
- Extend the trial beyond 30 days
- Buy now and purchase a license directly from the trial environment
- Customize the PVA bot (the default out-of-box bot will work)
- Enable some features like case swarming
But no matter which email you use to sign up, you will get the out-of-box Power Virtual Agents (PVA), omnichannel, unified routing, and other core D365 Customer Service capabilities as part of the trial. You can see the full list of licenses that come with the trial here.
Once you’re logged in and on the home page, you can watch a short video showcasing the all-encompassing value of engaging customers with Dynamics 365 Customer Service, and then start the tours.
Engage customers and provide omnichannel support
Voice tour
You can now simulate the end-to-end experience of a customer calling your company and how it will be routed to an agent. You can see real-time sentiment analysis, real-time transcription, knowledge articles, and agent scripts already populated.
Chat tour
Like the voice tour, you can explore how customers will interact with your company through your company’s chat widget. Just click the Chat demo and see how the PVA bot greets customers and how they are routed to agents.
Empower agents with the right information at the right time for quick resolutions
Explore cases by seeing what it’s like to take a case in the unified agent workspace. See incoming items for agents across a wide spectrum of channels. While issues can come from any supported channel, Customer Service workspace helps agents stay on top of their work with one unified agent desktop.
Monitor and improve operations
Delve into the depth and breadth of our insight capabilities that help supervisors learn about their operations and provide meaningful, actionable data.
With these features, you can test drive all that Dynamics 365 Customer Service has to offer in seconds. Embark on your journey to empower your agents and set up your organization for success. And if you like what you see, and you logged in with a work account (onmicrosoft.com email), you can buy a license today!
Resources
Get your free trial.
The post Create a Digital Contact Center in seconds with the Customer Service free trial appeared first on Microsoft Dynamics 365 Blog.
Brought to you by Dr. Ware, Microsoft Office 365 Silver Partner, Charleston SC.
Diagnose and Resolve issues Blade – Self-help tool for troubleshooting issues.
This article is contributed. See the original author and article here.
Software fails, hardware breaks and you can run into issues when trying new things. Whenever we encounter an issue on Azure, we quickly open our favorite search engine, weed through the results, and look for answers pertaining to that issue. But what if I tell you that we have a blade in the Azure Portal that can help you diagnose and resolve issues, find authoritative troubleshooting resources (tools, guided steps, and articles), and easily get additional help as needed.
The Diagnose and Solve problems blade empowers Azure customers to troubleshoot and solve Azure service issues via service/resource health insights, automated troubleshooters (insight diagnostics), curated troubleshooting guides (common solutions), and additional troubleshooting tools provided by service teams.
This blade is available for all the azure resources. In this blog post, we will look at SQL Server on Azure VM as an example.
The diagnose and Solve blade contains 2 sections.
- Common Problems
- Troubleshooting Tools
Common Problems
Each common problem has a title, a category, and a brief description, making it easier for customers to make the right selection. Customers can also search or use filters to look for a problem or a tool. One can also group the problem by category.
The following are the various categories that have been listed.
- Administration-Management
- Backup-Restore
- Data Services
- HADR
- Performance
- Security
- Setup-Licensing
- SQL Connectivity
- Change
- Health
The page also contains information about the resource health and any change details associated with the resource in the last 72 hours.
Once the customer identifies the problem they are having, clicking on “Troubleshoot” button, will open a new page where you can tell us more about the problem you are experiencing. Depending on the information provided and the problem scenario chosen, we get information on ways to fix the issue.
I have chosen Backup and Restore as the problem and clicking on the problem takes me to a new page asking me to tell more about the problem that I am experiencing. It also provides me with further options to choose that match my specific problem.
I have chosen “Database Backup or Restore using URL (Azure Storage)” as the issue that matches my problem. The page provides me with a list of common causes for the issues related to backup or restore using URL.
Assuming, the error msg that I am getting is Error 3201: Backup fails with – Operating system error 50, clicking on the headline, provides me with the steps to resolve the issue.
Troubleshooting Tools
Clicking on the Troubleshooting Tools tab for the SQL Server on Azure VM provides you with 4 options.
- Performance Diagnostics
- Troubleshoot network connectivity
- Evaluate Best Practices for your SQL Server using SQL Assessments
- Repair or Redeploy Iaas extension
Performance Diagnostics
PerfInsights is a self-help diagnostics tool that can be run through the portal or as a standalone tool that collects diagnostic data, produces analytic reporting, summarizes system information, and produces a system log output that can help troubleshoot virtual machine performance problems in Azure for various scenarios including SQL Server, Windows OS, Linux, Azure storage, and more.
From a SQL Server on Azure VM perspective, we can use PerfInsights captures to review SQL Server findings, review storage analysis against Azure storage thresholds, resource reporting, review the system summary information that can make it a lot easier to document your Azure SQL Virtual Machine environment.
PerfInsights can be run on virtual machines as a standalone tool, directly from the portal by using Performance Diagnostics for Azure virtual machines, or by installing Azure Performance Diagnostics VM Extension.
If you are experiencing performance problems with virtual machines, before contacting support, run this tool. More information can be found here.
Troubleshoot network Connectivity
The connection troubleshoot feature of Network Watcher provides the capability to check a direct TCP connection from a virtual machine to a virtual machine (VM), fully qualified domain name (FQDN), URI, or IPv4 address. Network scenarios are complex, they are implemented using network security groups, firewalls, user-defined routes, and resources provided by Azure. Complex configurations make troubleshooting connectivity issues challenging. Network Watcher helps reduce the amount of time to find and detect connectivity issues. The results returned can provide insights into whether a connectivity issue is due to a platform or a user configuration issue.
More information can be found here.
SQL Best Practice Assessment
SQL best practices assessment provides a mechanism to evaluate the configuration of your Azure SQL VM for best practices like indexes, deprecated features, trace flag usage, statistics, etc. Assessment results are uploaded to your Log Analytics workspace using Microsoft Monitoring Agent (MMA).
In order to enable SQL best practices assessment, your SQL Server on Azure VM (2012 and higher versions) needs to be registered with SQL IaaS extension in full mode. Registering your VM is easy and provides additional benefits that help you manage your SQL Server on Azure VM.
More information can be found here.
Repair or Redeploy Iaas Extension
Repair SQL IaaS Agent extension if the status is “Failed”. This operation will also help install latest SQL IaaS Agent extension if it is not already installed.
There is also a ” Force repair” option. Checking that will enable the repair button even if the SQL IaaS Agent extension is in “Succeeded” provisioning state. This allows you to upgrade your SQL IaaS Agent extension which is already in “Succeeded” provisioning state to the latest version.
From an azure SQL perspective, we have similar scenarios curated for both Azure SQL Database and Managed instance. We will explore them in another blog post.
I would encourage you all to take advantage of the “Diagnostics and Solve” blade to quickly identify your issues and resolve them. If one cannot resolve the issue, you can always use Azure Support to further troubleshoot it.
JCDC Announces 2023 Planning Agenda
This article is contributed. See the original author and article here.
Today, the Joint Cyber Defense Collaborative (JCDC) announced its 2023 Planning Agenda. This release marks a major milestone in the continued evolution and maturation of the collaborative’s planning efforts. JCDC’s Planning Agenda brings together government and private sector partners to develop and execute cyber defense plans that achieve specific risk reduction goals focused on systemic risk, collective cyber response, and high-risk communities.
Through this effort, CISA and partners across government and the private sector will take steps to measurably reduce some of the most significant cyber risks facing the global cyber community. This effort also aims to deepen our collaborative capabilities to enable more rapid action when the need arises.
CISA encourages organizations to review JCDC’s Planning Agenda webpage and CISA Executive Assistant Director Eric Goldstein’s blog post on this effort for a deeper understanding of the collaborative’s joint cyber defense plans. Visit CISA.gov/JCDC to learn about other ways JCDC is uniting the global cyber community in the collective defense of cyberspace.
CISA Releases Eight Industrial Control Systems Advisories
This article is contributed. See the original author and article here.
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A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
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Azure Marketplace new offers – January 26, 2023
This article is contributed. See the original author and article here.
We continue to expand the Azure Marketplace ecosystem. For this volume, 68 new offers successfully met the onboarding criteria and went live. See details of the new offers below:
Get it now in our marketplace | |
|---|---|
| 42Crunch API Firewall VM Solution: 42Crunch bridges the gap between API development, security, and operations teams with a simple, automated platform that provides threat protection early in the API lifecycle and lets developers initiate security during design. |
 | AlmaLinux 8.5 Minimal: AlmaLinux 8.5 Minimal for Microsoft Azure is a premier Linux distribution for enterprise cloud environments. This package from Ntegral is an excellent virtual machine (VM) for all workloads that include Node.js, web applications, and database platforms. |
 | AlmaLinux 8.6 Minimal: AlmaLinux 8.6 Minimal for Microsoft Azure is a premier Linux distribution for enterprise cloud environments. This package from Ntegral is an excellent virtual machine (VM) for all workloads that include Node.js, web applications, and database platforms. |
 | AlmaLinux 8.7 Minimal: AlmaLinux 8.7 Minimal for Microsoft Azure is a premier Linux distribution for enterprise cloud environments. This package from Ntegral is an excellent virtual machine (VM) for all workloads that include Node.js, web applications, and database platforms. |
 | Botminds AI – Intelligent Automation Platform for Document Processing: Botminds AI is a platform to capture, search, analyze, and automate documents and web data. It brings artificial intelligence for documents to every organization, no coding or AI expertise required. |
 | C2 Backup: C2 Backup for Business offers a cloud-to-cloud backup solution for Microsoft 365 services like OneDrive for Business, SharePoint Online, and emails on Exchange Online. Use it to back up your organization’s Microsoft 365 data and ensure continued access in the event of a sudden disaster. |
 | Console Enterprise Edition: Console from Aitrios is a one-stop solution for solution providers such as system integrators, AI developers, and application developers to implement their vision-based AI solutions. Users can easily set up edge sensors and connect them to the cloud before development. |
 | Console Enterprise Edition (JP): The Japanese version of Console from Aitrios is a one-stop solution for solution providers such as system integrators, AI developers, and application developers to implement their vision-based AI solutions. Users can easily set up edge sensors and connect them to the cloud before development. |
 | Cyera – Cloud Data Security: Cyera is a cloud security company that can give your business context and control over your cloud data. It instantly provides a strong baseline for all security, risk management, and compliance efforts and ensures the whole operates within the same policies and guardrails. |
 | Data Science Virtual Desktop – Ubuntu 20.04 LTS: This bundle from Ntegral contains several popular tools for data exploration, analysis, modeling, and development pre-installed. The AI/ML environment is available in a browser via JupyterHub and Jupyter/IPython notebooks with a separate Jupyter developer environment. |
 | Enterprise Web Content Management Integrated with Matomo: VMLAB offers a pre-configured, customizable, and secure integration of WordPress and Matomo, which you can use to create websites, blogs, and apps. It easily provides statistical analysis, SEO optimization, and more. |
 | Enterprise Web Content Management Integrated with MinIO: VMLAB offers a pre-configured, customizable, and secure integration of WordPress and MinIO, a distributed storage server to host your media files. You can extend WordPress with over 45,000 plugins such as an online store, gallery, or forum. |
 | Enterprise Web Content Management with Multi-Websites Management: This integration from VMLAB supports deployment of multiple websites by one server, installation, and database. The websites share themes and plugins but operate independently to facilitate construction and management of the station cluster system. |
 | eSentire MDR with Microsoft 365 Defender: Unlock the power of Microsoft Defender products with eSentire MDR to stop advanced threats and minimize the risk of business disruptions. eSentire’s continuous managed extended detection and response includes elite threat hunting and original research. |
 | eSentire MDR with Microsoft 365 Defender and Microsoft Sentinel: Expert analysts from eSentire identify, contain, respond to, and remediate threats across your Microsoft SIEM, endpoint, identity, email, and cloud security services to stop threats before they disrupt your business operations. |
 | FEITIAN Security Service: 3-Year Subscription: FEITIAN security provides multi-factor authentication and no-password solutions to give your business secure access to computers, mobile devices, servers, shared workspaces, and internet accounts, all while reducing IT management costs. |
 | Firebird 3.0.7 on Ubuntu 18.04 LTS: Tidal Media provides a secure, quick deployment of Firebird, a powerful SQL relational database management system for Windows and Linux. It supports stored procedures and triggers, full ACID-compliant transactions, incremental backups, and multiple access methods. |
 | Hive Advanced Analytics for Midmarket: Measure the effectiveness of your enterprise video webcasts with Hive Advanced Analytics. With it, you can dig into detailed metrics for each video event, including participation, quality of experience (QoE), viewers over time, and bandwidth savings. |
 | Hive Core Video Analytics and Optimization Bundle for Midmarket: This bundle combines several of Hives most popular solutions, so you can reach more employees than ever with internal broadcasts and ensure the best possible viewing experience, with powerful tools to track and understand performance. |
 | ID Document and Biometric Verification: AU10TIX creates end-to-end identity verification solutions applying forensic, biometric, and artificial intelligence technologies. Use their proprietary tools to quickly onboard customers and give them a frictionless experience. |
 | Kockpit MongoDB: MongoDB Community Server is a powerful distributed document database, offering a flexible document model, ad hoc queries, indexing, and real-time aggregation. This image from MongoDB offers sophisticated security controls and advanced functions to satisfy privacy and compliance requirements. |
 | Landing Page and Webhook for Software as a Service: Save time when publishing software as a service (SaaS) offers with a fully functioning landing page and webhook endpoint from Madatech. These required functions are enough to publish your app and manage your current client base. |
 | Lexop: Retain past-due customers by facilitating self-serve payments with Lexop. Its humanized approach ensures increased debt recovery and a significant ROI with its empathetic past-due experience, offering the benefits of personalized outreach at scale with flexible payment schemes. |
 | MootUp Metaverse: The MootUp 3D virtual event platform helps you host immersive and hybrid events that are accessible from any device and require no virtual reality (VR) gear. See yourself and the attendees as personalized avatars and wander around the digital event platform space and exhibits. |
 | Nagios Monitoring System on Ubuntu 20.04 LTS: Nagios monitors systems, networks, and infrastructure to alert users about issues and when they’re resolved. This pre-configured image from Tidal Media lets you easily consolidate alerts and notifications while maintaining a safe and secure network. |
 | RISE: RISE helps customer relationship management and contact center teams simplify customer handling and improve the customer experience with a wide range of managed touch points. Features include a separate queue for customers with special needs and call insights for each agent. |
 | Rocky Linux 8.4 Minimal: Rocky Linux 8.4 Minimal for Microsoft Azure is a premier Linux distribution for enterprise cloud environments. This image from Ntegral is an excellent virtual machine (VM) platform for all workloads that include Node.js, web applications, and various databases. |
 | Rocky Linux 8.6 Minimal: Rocky Linux 8.6 Minimal for Microsoft Azure is a premier Linux distribution for enterprise cloud environments. This image from Ntegral is an excellent virtual machine (VM) platform for all workloads that include Node.js, web applications, and various databases. |
 | Rocky Linux 8.7 Minimal: Rocky Linux 8.7 Minimal for Microsoft Azure is a premier Linux distribution for enterprise cloud environments. This image from Ntegral is an excellent virtual machine (VM) platform for all workloads that include Node.js, web applications, and various databases. |
 | SMART Productivity Licensing: Companies with multiple subsidiaries or divisions under the same tenant can use SMART Productivity Licensing from Cloudshift for admin delegation. It’s fully integrated into Azure Active Directory and can add users as sub-admins, each granted appropriate permissions. |
 | TCS CUBO: The TCS CUBO workspace helps organizations drive closer collaboration by bringing in an ecosystem of partners to build proofs of concept and technology and offer trials to stakeholders. This evolving, scalable model supports co-innovation, collaboration, and growth. |
 | ThinkBase for Teams: ThinkBase knowledge graphs are the moder, more efficient answer to Expert Systems. You can encode business knowledge, then use the chat interface to interrogate the knowledge graph with new data. ThinkBase lets you describe problems graphically using its fuzzy-logic language rule. |
 | vFunction AI Platform for Application Modernization: The vFunction platform lets software architects and developers rapidly and incrementally modernize legacy applications to unlock the benefits of Microsoft Azure, providing a repeatable and scalable platform for continuous integration and deployment (CI/CD). |
 | vFunction Assessment Hub: vFunction Assessment Hub provides purpose-build assessment for decision-makers. AI-based analysis condenses data into three high-level indicators so you can assess, prioritize, and drive immediate action on modernization projects by seamlessly onboarding apps into the platform. |
Go further with workshops, proofs of concept, and implementations | |
 | AI/ML Consulting and Implementation: Espire Infolabs will provide comprehensive machine learning solutions for multiple uses. Its extensive pool of experts will work with you to understand the requirements and deliver a solution tailored to your business needs. |
 | App of the Future: 5-Day Engagement: Insight will help you translate your desired business outcomes into a tangible product using Microsoft Azure, then plan for execution, helping your team better validate, socialize, and estimate your ideas. |
 | Azure Ingestion Framework: 4-Week Implementation: Adastra will establish a foundational architecture to ingest your data to Microsoft Azure for analytics, integrate a subset of datasets, and build a work/asset report. |
 | Cloud DevOps Acceleration: Concurrency helps combined cloud and application development team build out automated release management pipelines using GitHub Enterprise, Azure DevOps, and the Microsoft Cloud Adoption Framework. |
 | Cloud Landing Zone and Governance: Concurrency can help you implement an enterprise landing zone and governance framework consistent with the Azure cloud adoption framework (CAF). This engagement includes education about organizational structures and adoption best practices. |
 | Cloud Migration: Concurrency will help your company migrate necessary resources to Microsoft Azure via lift-and-shift or refactor activities, assessing solutions, preparing wave plans, and migrating per the agreed upon plan. |
 | Competence as a Service: 12-Month Engagement: A squad from RawWorks will help identify and fill knowledge gaps in your IT department, giving you the expertise you need to migrate your environment to Microsoft 365 and Azure. |
 | Connected App Development: Concurrency builds end-to-end applications on Azure and container services which interact with IoT and business system endpoints, forming a complete business solution using scalable, secure, and capable platforms. |
 | Infinity Lamps: 4-Week Implementation: LAMPS is a platform for industrializing cloud migration of SAP workloads. LTI will set up a secure Azure subscription, discuss security concerns, and identify three use cases for your LAMPS pilot before designing and delivering your new solution. |
 | Intelligent Retail Analytics with Azure Synapse: 4-Week Proof of Concept: Nous’ retail data solution built using Microsoft Cloud for Retail uses Azure Synapse to take data from all sources and make reporting- and AI-ready. This proof of concept modernizes a selected use case so you can experience cloud-scale analytics firsthand. |
 | IoT Data Collection: 2-Month Implementation: Hitachi Systems will create an IoT data collection service for your public or private cloud that visualizes data from sensors and devices, issuing alerts based on value threshold judgments. This implementation is only available in Japanese. |
 | Security Operations Center Service: Sii sp. z oo secure operations center (SOC) service can continuously monitor and improve your organization’s security posture while preventing, analyzing, and responding to threats. Included threat intelligence analyzes current trends to understand future threats. |
 | SIEM and SOAR with Azure Sentinel: 2-Week Proof of Concept: Experts from Nous will help design, experience, and adopt Azure Sentinel to secure your products and applications so you can stop threats before they cause harm. |
 | Skaylink Update Management with Azure Arc: 1-Day Implementation: Available in German, this offering from Skaylink simplifies the management of your public and private cloud environments with a centralized tool powered by Azure Arc. |
Contact our partners | |
Azure Business Continuity and Disaster Recovery: 1-Week Assessment | |
Azure Cost Optimization: 1-Day Assessment | |
Azure Virtual Desktop: 2-Hour Briefing | |
ControlUp for Physical Endpoints and Apps | |
Data Warehouse Migration Assessment | |
Managed Security for Microsoft 365 | |
Oracle to PostgreSQL Migration Assessment | |
Retail Analytics Transformation: 2-Week Assessment | |
Retail Analytics with Synapse: 2 Hour Briefing | |
SAP Migration Readiness: 2-Week Assessment | |
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