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azure cheat sheet

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Azure Blob Storage

2024-03-01T03:54:06+00:00

Azure Blob Storage Cheat Sheet Objects in Blob Storage are accessible via: Azure Storage REST API Azure Powershell CLI Types of Storage Account Type Performance Tier Best used for General-Purpose v2 Standard Most scenarios use Blob Storage or one of the other Azure storage services. Block Blob Premium High transaction rates or that use smaller objects or require consistently low storage latency. Page Blob Premium Storing text or binary files, for uploading large files efficiently.   Moving Data to Blob Storage 1. Azure Storage Data movement library a. NET library for moving data between Azure Storage Services. 2. Azure Data [...]

Azure Blob Storage2024-03-01T03:54:06+00:00

Microsoft Entra ID

2024-02-20T15:10:02+00:00

Bookmarks Features Concepts Monitoring Microsoft Entra Directory Security Microsoft Entra ID Cheat Sheet An identity and access management service that helps you access internal and external resources. Microsoft Entra licenses: Free, Premium P1, Premium P2 and Pay as you go Free – user and group management in your on-premises directory Premium P1 – allows access to both on-premises and cloud resources. Premium P2 – provides an additional feature called Microsoft Entra Identity Protection. Pay as you go – offers a feature called Azure AD B2C. Features You can use Microsoft Entra Authentication for [...]

Microsoft Entra ID2024-02-20T15:10:02+00:00

Data Concepts in Azure Machine Learning

2023-08-14T03:18:24+00:00

Azure Machine Learning Data Concepts URI A Uniform Resource Identifier (URI) represents a storage location on a local computer, Azure storage, or a publicly available http(s) location. URIs can be used as inputs or outputs to an Azure Machine Learning job and can be mapped to the compute target filesystem in different modes: read-only mount, read-write mount, download, or upload. URIs use identity-based authentication to connect to storage services, with options for Azure Active Directory ID or Managed Identity. Data types Azure Machine Learning supports three data types: File, Folder, and Table. File: References a single file and can have [...]

Data Concepts in Azure Machine Learning2023-08-14T03:18:24+00:00

Azure Applied AI Services: Computer Vision and NLP Workloads on Azure

2023-12-05T11:19:18+00:00

Computer Vision on Azure involves the use of Azure AI Services and related tools to analyze and understand visual content, such as images and videos. The goal is to enable computers to interpret and extract valuable information from visual data. Computer Vision Workloads on Azure: Azure AI Services Azure AI Services that analyzes and understands images and videos. It provides features like object detection, image recognition, image tagging, and OCR. Developers can extract insights from visual data and perform tasks like detecting objects and extracting text from images. Computer Vision simplifies the development of applications with advanced visual analysis capabilities [...]

Azure Applied AI Services: Computer Vision and NLP Workloads on Azure2023-12-05T11:19:18+00:00

Automated Machine Learning (AutoML) in Azure

2023-12-05T11:45:14+00:00

Automated machine learning, known as automated ML or AutoML, streamlines the tasks involved in developing machine learning models by automating repetitive tasks. Azure Machine Learning provides the Python SDK, allowing you to leverage the power of AutoML. Applications of AutoML It simplifies the machine learning model development process, allowing users to implement ML solutions without extensive programming knowledge. Classification Identifies data points into categorical labels Precision is the ratio of correctly predicted positive observations to the total predicted positives. It measures a model's accuracy in making positive predictions. Confidence refers to the probability assigned to a model's prediction, indicating its [...]

Automated Machine Learning (AutoML) in Azure2023-12-05T11:45:14+00:00

Azure Responsible AI

2023-12-03T19:30:38+00:00

Azure Responsible AI Cheat Sheet Microsoft outlines six key principles for responsible AI: accountability, inclusiveness, reliability and safety, fairness, transparency, and privacy and security. Accountability People designing and deploying AI systems need to be accountable for their actions and decisions. Internal review bodies can provide oversight and guidance in AI systems. Considers the systems' impact and integrating ethical considerations into their development Inclusiveness AI should consider all human races and experiences. Inclusive design practices can address potential barriers. Assistive technologies should be used to empower people with impairments. Development of systems that respect and include all users Reliability and safety [...]

Azure Responsible AI2023-12-03T19:30:38+00:00

Azure Arc Cheat Sheet

2023-05-01T01:01:38+00:00

Azure Arc Cheat Sheet A hybrid cloud management platform for managing servers, Kubernetes clusters, and applications across on-premises, multi-cloud, and edge environments. Centralize resource management and deploy consistent Azure services anywhere. Azure Arc Features You can deploy Azure services (Azure Policy, Azure Monitor, and Azure Defender) anywhere, allowing them to use the same tools and processes across their entire hybrid cloud estate. Enforce policies, audit logs, and detect threats to your servers and Kubernetes clusters. GitOps can be used to deploy configurations from Git repositories across one or more clusters. Using Azure Policy, you can achieve zero-touch compliance and configuration [...]

Azure Arc Cheat Sheet2023-05-01T01:01:38+00:00

How to Set Up Alerts Rules and Action Groups in Azure Monitor

2023-04-10T04:23:35+00:00

In this article, we’ll learn how to create action groups and alert rules to automatically monitor our infrastructure and take automated actions based on certain conditions. The service that we’ll use for this tutorial is Azure Monitor. Alerts in Azure Monitor act as a watchdog, constantly monitoring your infrastructure and application for potential problems. It alerts you before users experience any problems by sending you alerts when something is wrong with your system. This way, you can address the problem quickly and avoid affecting users. How to Setup Action Groups Action Groups are a set of actions that you specify [...]

How to Set Up Alerts Rules and Action Groups in Azure Monitor2023-04-10T04:23:35+00:00

Creating And Mounting An Azure File Share

2023-04-26T07:58:47+00:00

A file server provides organizations with a system to centrally store, manage, and access files within a network, such as documents, images, videos, logs, etc. With file servers, users can easily share and collaborate on files with others. Azure Files is a fully managed file share solution that aims to replace or supplement on-premises file servers. It is a platform as a service (PaaS) offering by Microsoft Azure that is accessible by SMB and NFS protocol and Azure Files Rest API. You can mount Azure files using Windows, Linux, and macOS workstations. Azure files have many benefits, including the following: [...]

Creating And Mounting An Azure File Share2023-04-26T07:58:47+00:00

Deploying Docker Images To Azure Container Apps

2023-04-26T07:59:52+00:00

Containers, cloud-native, and microservices are all used in modern software development and deployment. A container is a standalone executable package that contains everything needed to run a piece of software, creating an isolated environment for the application. While microservices are an architectural paradigm for developing applications composed of small, independent services. This enables teams to autonomously build, deploy, and grow their services, increasing the speed and agility of the development process. In Microsoft Azure, there is a fully managed service called Azure Container Apps, where you can deploy, manage, and scale multi-container applications and microservices. You can run your containers [...]

Deploying Docker Images To Azure Container Apps2023-04-26T07:59:52+00:00

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