Knowledge Graph — Coursera Notes › Organizations › Microsoft
Azure
service · part of Microsoft
A public cloud provider offering scalable deployment platforms for applications of any size.
Inside Azure (23)
- Azure ML Service — A cloud-based environment for training, deploying, and managing machine learning models.
- Azure account — An entry point to the Azure ecosystem providing access to cloud services and a centralized dashboard (Azure Portal) for managing resources.
- Azure Databricks — An Apache Spark-based analytics platform for data processing and transformation.
- Azure Kubernetes Service (AKS) — A managed Kubernetes service for deploying and scaling containerized applications.
- Virtual machines — Software-based emulations of physical computers in Azure, allowing isolated environments for installing and configuring AI/ML software.
- ARM template — Azure Resource Manager template that captures environment configuration in a reusable format for automated deployment and consistency.
- Azure App Service — A service for deploying web applications and APIs, providing an easy-to-manage environment with integrated deployment pipelines.
- Azure App Services — A platform for building and hosting web apps and REST APIs.
- Azure Batch — A service for processing large volumes of data or parallel execution of multiple models across many virtual machines.
- Azure Blob Storage — A cloud object storage solution for unstructured data such as images and backups.
- Azure Container Instances (ACI) — A serverless container service for running containers without managing infrastructure, often used for deploying Azure ML models.
- Azure Cosmos DB — Azure Cosmos DB is a fully managed NoSQL database service for semi-structured data, offering global distribution and multi-model support.
- Azure Data Factory — A cloud-based data integration service for orchestrating and automating data movement and transformation.
- Azure Data Lake Storage — A scalable and secure data lake for high-performance analytics workloads.
- Azure DevOps — A set of tools for CI/CD integration, enabling smooth updates, rollbacks, and automated testing for model deployments.
- Azure Event Hubs — A high-throughput ingestion service capable of handling millions of events per second for real-time streams.
- Azure Functions — Serverless compute service that runs on demand per event for lightweight, intermittent models.
- Azure Machine Learning Studio — A low-code/no-code graphical environment for easy model deployment, suitable for teams with limited cloud expertise.
- Azure Monitor — A service for monitoring the performance and health of applications and infrastructure.
- Azure SQL Database — A fully managed relational database with built-in intelligence for structured data.
- Resource group — A container that holds related resources for an Azure solution.
- Resource groups — Logical containers for resources sharing the same life cycle, enabling collective management, monitoring, access control, and cost tracking.
- Virtual Machine — An Azure compute resource that runs an operating system and applications.
Connections
- Related to Scalability
- Related to Cloud inference
- Related to Azure account
- Alternative to Github repository
- Used for Virtual Machine
- Related to Artificial Intelligence
- Alternative to Google Cloud
- Used for Kubernetes Deployment
- Related to APIs
- Related to Security
- Related to Cost-effectiveness
- Related to Reliability
- Related to Total Cost of Ownership
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