Azure Real World - Joseph Paradi
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To use Azure for a corporate application, the key areas to consider are authentication, authorization, data synchronization, security of data, and application integration. The demo showed authentication against an on-premises Active Directory server, authorization using custom claims only containing required data, and data synchronization from an on-premises database to SQL Azure using SSIS. Potential gaps are around security of data in SQL Azure and operations/management integration. Building the demo took around 50 hours and leveraged existing .NET and SSIS skills.
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This document discusses getting started with Windows Azure tools and services. It covers building a new cloud service using Visual Studio templates, migrating an existing ASP.NET application to Azure, and managing SQL Azure databases. Key Azure concepts are explained like roles, instances, and storage. Demo sections show creating a cloud project, deploying to Azure, and using SQL Azure and caching services. Authentication, authorization, and connecting on-premises systems to Azure are also addressed.
Azure from scratch part 3 By Girish Kalamati
Azure Identity (AD,ADFS 2.0,AAD,ADB2C,OAuth,OpenID,PingID,AD Custom Policies) ,
Azure PaaS (Azure Functions, Serverless computing, Azure Comsos DB, Webhooks, API Apps, Logic Apps, Kudu, Azure Websites), Azure Functions, Lamda Function, Event Functions, Serverless architecture, Implementing azure functions on GIT HUB comment feature, Why Azure Functions, Azure Virtual Machines, Azure Cloud Services, Azure Web Apps & WebJobs, Service Fabric, Consumption Plans, Billing Model, Benefits of Azure Functions, What is serverless, Implementing bigger solutions into smaller azure functions, Microservices, Use cases, Function App, Implementation storing unstructured data using Azure functions into Cosmos DB, Cosmos DB, Custom Azure functions, Azure Cosmos DB, IOTS, Document DB, Doc DB, How to setup a Jenkins build server and automatically trigger code from Visual studio online,Azure App Service, App service Environment, Azure Stack, Managing Azure App services, Azure Powershell, Azure CLI, REST APIS, Azure Portal, Templates, Kudu Console access, Run GIT Commands on Kudu Console, Locking Azure Resources, Configuring Custom Domains, Adding Extensions to Azure Web App/Websites, App service Deployment options, Data Services in Azure , Azure SQL, Azure SQL server, Azure SQL database vs SQL server in a Azure VM, SQL Tiers, DTU, Data Transactional Unit, Planning & provisioning azure SQL databases,Migrating SQL Databases, Azure SQL Server, SQL server transactional replication, Deploy database to Microsoft Azure Database Wizard, DAC package, DAC, SQL compatibility issues, Migrating SQL with downtime, DMA, Data Migration Assistant, Database Snapshot, Migrating SQL without downtime, DTU, Data Transactional Unit, Recommendations for best performance during SQL Import Process, Transactional Replication, T-SQL, Task to implement what ever you learnt till now,
Cloud Readiness : CAST & Microsoft Azure Partnership Overview
Learn more about accelerating Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
A joint team from CAST and Microsoft worked to define rules that assess the ability of an existing codebase to migrate to Microsoft Azure. The team then integrated the rules into CAST Highlight and moved the solution itself to Azure.
In this report, we describe the process and what we did before, during, and after the hackfest, including the following:
• How we produced the rules that assess the ability to migrate to Azure
• How we benchmarked the rules
• How we migrated the CAST Highlight service to Azure
• What the architecture looked like and future plans
• Learnings from the process
Our first objective was to define rules that assess the ability of applications to migrate to Azure and integrate those rules into CAST Highlight. This was the more-complex task for our team.
Our second objective was to move the existing application to Azure, thus profiting from App Service features such as auto-scaling and deployment slots. The existing application is a Java web app running on Apache Tomcat and using PostgreSQL as its database. This is a frequent scenario for web applications running in Azure, so we did not anticipate having any issues with this task.
Learn more about accelerating Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Azure SQL Managed Instance infographic.pdf
Azure SQL Managed Instance is an intelligent cloud database service combining the broadest SQL Server engine compatibility with the benefits of a fully managed platform as a service.
Modernize Java Apps on Microsoft Azure
The Java ecosystem is very broad, with different technologies including Java SE, Java EE/Jakarta EE, Spring, numerous application servers, and other frameworks. Wherever you are in Java, Azure supports your workload and process with an abundance of choice – from IaaS to fully managed services. You can run any application architecture, from monoliths, to containerized monoliths, all the way to completely microservices based apps.
We see three broad patterns for running Java applications in the cloud, depending on how much control or productivity you need.
The first is lift and shift with Virtual Machines:
Virtual machines provide the most flexibility, control and visibility while moving to the cloud, especially for initial lift and shift of Java workloads. Azure provides a variety of Java focused VM images and solutions templates in the Azure Marketplace to get you up and running quickly.
The second is modernization using containers:
Containers provide portability, flexibility, scalability, manageability, repeatability, and predictability.
Azure provides best of breed support for Docker and Kubernetes, especially through the Azure Kubernetes Service (AKS) and Azure Red Hat OpenShift.
Finally, Azure has the most managed hosting options for Java applications of any major cloud platform with fully managed PaaS for Spring, Tomcat, and JBoss EAP:
Managed services offer ease-of-use, ease-of-management, productivity, and lower total cost of ownership.
You can focus on building your applications, not managing infrastructure.
All of this is supported by managed databases and DevOps tooling:
Use fully managed SQL and NoSQL databases, including PostgreSQL, MySQL, Cosmos DB, and SQL.
Keep using the tools you love, with plugins for IntelliJ and Eclipse, integrations with a variety of DevOps tools like Maven, Gradle, Jenkins, and GitHub.
Microsoft Azure
Microsoft Windows Azure is a cloud computing platform that provides infrastructure as a service, platform as a service and software as a service. It allows developers to build and host applications and services through Microsoft's global network of data centers. Key components of Windows Azure include Web Roles, Worker Roles, Storage, SQL Azure database, Cloud Fabric for automatic scaling and failover, and development tools to facilitate building applications for the cloud. The document provides an overview of these services and components and how developers can get started using Windows Azure.
Azure SQL DB Managed Instances Built to easily modernize application data layer
Azure SQL DB Managed Instances Built to easily modernize application data layerMicrosoft Tech Community
The document discusses Azure SQL Database Managed Instance, a new fully managed database service that provides SQL Server compatibility. It offers seamless migration of SQL Server workloads to the cloud with full compatibility, isolation, security and manageability. Customers can realize up to a 406% ROI over on-premises solutions through lower TCO, automatic management and scaling capabilities.App Service Web
The document provides an overview of different options for hosting web applications on Azure, including App Service (Web Apps), Cloud Services (Web Roles), Virtual Machines, and Service Fabric. It compares key features of each option and provides recommendations for common scenarios. App Service is generally the best choice for most web apps due to its ease of use, auto-scaling capabilities, and integration with other Azure services. Service Fabric is recommended for microservices architectures, while Virtual Machines require more management but provide more control over infrastructure.
Building & managing wa app wely
This document summarizes a talk on building, deploying, and managing Windows Azure applications. It discusses setting up cloud services and SQL databases using Azure tools in Visual Studio. It covers deploying applications to the cloud via Visual Studio, the Azure portal, or PowerShell. It also describes ways to view applications in the cloud like Remote Desktop, diagnostics, and SQL distributed views. The talk demonstrates these concepts and provides resources for learning more.
Building & Managing Windows Azure
This document summarizes a talk on building, deploying, and managing Windows Azure applications. It discusses setting up cloud services and SQL databases using Visual Studio tools. It covers deploying applications to the cloud through Visual Studio, the management portal, or PowerShell. It also describes ways to view applications in the cloud like remote desktop, diagnostics, and SQL distributed views. The talk provides an overview of key concepts like deploying and updating applications, hosting web roles with full IIS, and using resources to learn more.
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Microsoft azure architect design (az 304) practice tests 2022
Microsoft azure architect design (az 304) practice tests 2022
Developing and deploying windows azure applications
Developing and deploying windows azure applications
Cloud Readiness : CAST & Microsoft Azure Partnership Overview
Cloud Readiness : CAST & Microsoft Azure Partnership Overview
Azure SQL DB Managed Instances Built to easily modernize application data layer
Azure SQL DB Managed Instances Built to easily modernize application data layer
More from Wade Wegner
Designing for failure
You can count on one of three things failing: hardware, software, or people. One of the most important considerations when moving applications into the public cloud is how to plan for - and mitigate - these failures. Certainly there are best practices in building any application that help you to handle failures, but what are the practices when your applications run in the public cloud?
Building High Performance Web Applications with the Windows Azure Platform
The Windows Azure Platform enables developers to build dynamically scalable web applications easily. Come and learn how services like the Content Delivery Network (CDN) and Windows Azure AppFabric Caching can help you build high-performance web applications in Windows Azure. In this session we’ll share some tips & tricks to improve performance when using web & worker roles in Azure, and to optimize your overall application for maximum performance.
A Lap Around the Windows Azure AppFabric
Learn how to use services in the Windows Azure AppFabric (such as Service Bus, Access Control, and Caching) as building blocks for Web-based and Web-hosted applications, and how developers can leverage these services to create and extend applications in the cloud while also connecting them with on-premises systems.
Real World Patterns for Cloud Computing
This document summarizes a presentation about leveraging cloud computing solutions on Microsoft Azure for storage, processing, and scaling of large amounts of digital content. It discusses using Azure blob storage to store content, queues to decouple processing instructions from the content, and worker roles to process content in a scalable manner. It also addresses challenges of storage account limitations and provides demos of round robin storage across multiple accounts and auto-scaling of worker roles to demonstrate elastic scaling in Azure.
Windows Azure Platform
A presentation on the Windows Azure platform, including updates from PDC (i.e. codename "Dallas", Windows Azure platform AppFabric, and more).
Wisconsin .NET UG - Windows Azure
The document summarizes a presentation given by the Wisconsin .NET Users Group in September 2009. It discusses challenges facing enterprises and how cloud computing addresses issues like high infrastructure costs, limited data center capacity, and lack of a common platform. It introduces the Windows Azure platform and how it provides automated management, scalability, and a familiar development experience. Key aspects of Windows Azure including its architecture, SQL Azure, and pricing models are summarized.
.NET Architecture for Enterprises
This document summarizes key aspects of .NET architecture for enterprises. It describes the roles and responsibilities of software architects, principles of architecture like separation of concerns and low coupling/high cohesion, and common architectural patterns. It also outlines common layers in applications like the business layer, services layer, data access layer, and presentation layer, describing what they are, responsibilities, and design patterns associated with each layer. The document provides guidance on how to design maintainable and testable systems with a focus on separation of concerns, low coupling between components, and following architectural best practices.
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Building High Performance Web Applications with the Windows Azure Platform
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Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
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We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
OpenID AuthZEN Interop Read Out - Authorization
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Generating privacy-protected synthetic data using Secludy and Milvus
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Skybuffer SAM4U tool for SAP license adoption
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SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Fueling AI with Great Data with Airbyte Webinar
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Webinar: Designing a schema for a Data Warehouse
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
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See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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Azure Real World - Joseph Paradi
- 6. Operations / ManagementReduce the cost/effort to move to Azure
- 7. Microsoft Azure Datacenter Demo Infrastructure Orgchart App Database User Accenture Datacenter Lookup App Database “Geneva” Server AD
- 10. Authorization – “Geneva” server created a custom claim that only contained the data elements required for the application to make the authorization decision
- 11. Data Sync – An SSIS package was used to pull data rows and columns using a view from the internal data table and load to the SQL Azure instance
- 13. Operations/Management – today we cannot use our standard model for creating events in the Windows Event Log and then capturing those with SCOM. We are looking at whether we could build a .NET Services layer to handle it.
- 15. Blog post on how to add geneva claims handling to an app
- 16. Geneva server already existed for other apps – defined new relying party and claims to be transmitted
- 17. Used SQL Azure Migration Wizardto create SQL Database objects on SQL Azure
- 18. Created view on internal SQL data and used SSIS to move it to SQL AzureOverall, the initial version of this took about 40 hours of effort from both of us and it has been modified only slightly since then (another 10 hours of effort).
- 20. You can get running very quickly without new infrastructure (assuming you already have “Geneva”)
- 21. You do not have to worry about the plumbing, you just have to build the application
Editor's Notes
- Authentication – How to use AD credentials in a cloud app easily?Authorization – How to give enough data to the app to make the right access decisions?Data Synchronization – If you need to store data in the cloud, how to do that wellSecurity of Data – How does your corporate data privacy or legal restrictions influence this?Application Integration – how to model things like Kerberos constrained delegation or calling internal web services?Ops/Mgmt – how to integrate into your operations tools like SCOM; how to do forensics for your security team; audits, etc.
- User can be on corpnet or on the internetNo need to sync AD to the cloud (big win)All authentication is done within the Accenture networkGoal is for the user not to notice that the cloud app is in the cloud
- The OrgChart app is configured to only accept claims signed by the Accenture Geneva server – this is a key security considerationThe OrgChart app uses claims based auth and the internal Lookup app uses ADFS Web Agent with NT Token