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AI and Machine Learning
premium
Azure AI metrics
Azure AI metrics is the measurable signals used to observe Azure AI applications, model endpoints, agents, evaluations, safety checks, and business outcomes.
Azure AI services
intermediate
4 commands
Aliases: AI metrics, AI service metrics, Azure AI Metrics Advisor, Azure Monitor metrics for AI, Metrics Advisor, time series anomaly detection
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Monitoring and Observability
premium
Platform metrics
Platform metrics are numeric measurements that Azure resources emit and Azure Monitor collects at regular intervals. They describe resource health, capacity, utilization, latency, throughput, failures, and dimensions over time, helping operators chart behavior, create alerts, and diagnose service conditions quickly.
Monitoring
fundamentals
5 commands
Aliases: Azure platform metrics, Azure Monitor platform metrics, resource metrics
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Storage
complete
Storage account metrics
Microsoft Learn lists storage account metrics as Azure Monitor measurements for Microsoft.Storage accounts. They expose signals such as availability, transactions, capacity, latency, ingress, egress, errors, and service-level dimensions so operators can watch storage behavior, alert on problems, and trend usage over time.
Storage accounts
advanced
5 commands
Aliases: Azure Storage metrics, storage metrics, storage account Azure Monitor metrics, Microsoft.Storage metrics
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Integration
premium
Capacity unit
A capacity measure used by Event Hubs Dedicated clusters.
Messaging and eventing
intermediate
6 commands
Aliases: No aliases yet
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Monitoring and Observability
premium
Metric dimension
Metric dimension is a property attached to metric data that lets Azure Monitor split, filter, or group the same metric by useful values. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline.
Azure Monitor Metrics
fundamentals
4 commands
Aliases: metric split, metric label, dimension value
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Monitoring and Observability
premium
Metric namespace
Metric namespace is a category container that groups related Azure Monitor metrics for a resource type or service. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline.
Azure Monitor Metrics
fundamentals
4 commands
Aliases: metrics namespace, metric category, Azure Monitor metric namespace
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Monitoring and Observability
premium
Metric time grain
Metric time grain is the time interval Azure Monitor uses to aggregate metric samples for charts, queries, or alert evaluation. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline.
Azure Monitor Metrics
fundamentals
4 commands
Aliases: metric granularity, time grain, aggregation interval
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Web
premium
CPU percentage
CPU percentage is an Azure glossary term for a platform metric that shows how much processor capacity an app, plan, virtual machine, or scale set is using over time. In practice, it helps teams reason about detecting compute pressure, validating scale rules, investigating latency, and deciding whether code, plan size, or instance count must change using live Azure evidence, documented ownership, and Microsoft Learn guidance. It should be reviewed through security, reliability, operations, cost, and performance lenses before production changes.
Azure Monitor metrics
beginner
3 commands
Aliases: Cpu percentage, CpuPercentage, Percentage CPU, CPU utilization
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Web
premium field-manual
Memory percentage
The memory percentage metric is a memory utilization value that shows how much of a container or workload memory allocation is being used. Teams use it when operators need to detect memory pressure, tune limits, or drive memory-based scaling decisions. In plain English, it gives operators a named control for earlier visibility into memory-bound behavior, restarts, and capacity risk instead of leaving the decision hidden in a portal setting, script, or deployment file. Treat it as production-ready only when the owner, dependencies, permission boundary, monitoring signal, and rollback evidence are clear.
App Service and Azure Monitor metrics
intermediate
4 commands
Aliases: Memory percentage, MemoryPercentage, memory utilization percentage, memory metric, memory usage percentage, container memory percentage, App Service memory percent, Azure Monitor and Azure App Service, App Service and Azure Monitor metrics
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Monitoring and Observability
premium
Azure Monitor
Azure Monitor is Microsoft’s unified observability service for collecting, analyzing, and acting on telemetry from Azure, hybrid, and application workloads. It brings together metrics, logs, traces, events, alerts, workbooks, and Application Insights capabilities so teams can understand health, performance, and reliability.
Monitoring
fundamentals
3 commands
Aliases: Azure Monitor, Monitor, Azure observability, Log Analytics, Application Insights, Azure metrics and logs
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Compute
premium
Azure Functions
Azure Functions is Azure serverless compute for running code from triggers such as HTTP requests, queues, timers, events, and service integrations without managing servers.
Serverless compute
intermediate
6 commands
Aliases: Functions, Function App, serverless functions
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Databases
premium
Azure SQL automatic tuning
Azure SQL automatic tuning monitors query performance and can apply tuning actions such as plan correction and index recommendations.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure SQL automatic tuning, Azure SQL tuning recommendations, SQL automatic tuning, automatic tuning
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Databases
premium
Azure SQL Business Critical tier
Azure SQL Business Critical tier is a vCore service tier for OLTP workloads that need high transaction rates, low-latency I/O, and high resilience through isolated replicas.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure SQL Business Critical tier, Business Critical tier, BusinessCritical, Premium-like vCore tier, SQL Business Critical
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Databases
premium
Azure SQL Database DTU model
Azure SQL Database DTU model is a purchasing model that bundles compute, storage, and I/O resources into Database Transaction Units for Basic, Standard, and Premium tiers.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure SQL Database DTU model, DTU model, DTU-based purchasing model, Database Transaction Unit, eDTU
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Databases
premium
Azure SQL elastic job
Azure SQL elastic jobs schedule and run Transact-SQL scripts across one or many Azure SQL databases, including target groups across servers, pools, and subscriptions.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure Elastic Jobs, Azure SQL elastic job, SQL elastic job agent, elastic job agent, elastic jobs
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Databases
premium
Azure SQL elastic pool
Azure SQL elastic pool lets multiple Azure SQL databases on one logical server share a set of resources at a set price for variable usage patterns.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure SQL elastic pool, SQL elastic pool, eDTU pool, elastic pool, pooled databases
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Databases
premium
Azure SQL General Purpose tier
Azure SQL General Purpose tier is a vCore service tier for common workloads that need balanced compute and storage at budget-oriented pricing.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure SQL General Purpose tier, GP tier, General Purpose tier, GeneralPurpose, SQL General Purpose
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Databases
premium
Azure SQL geo-restore
Azure SQL geo-restore uses geo-replicated backups to restore a database to any logical server in any Azure region when primary-region access is unavailable.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure SQL geo-restore, SQL geo restore, geo-replicated backup restore, geo-restore, regional backup restore
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Monitoring and Observability
premium
Azure dashboard
A customizable Azure portal view for organizing resource tiles, metrics, charts, links, and operational context into private or shared dashboards.
Visualization
fundamentals
4 commands
Aliases: Azure portal dashboard, Portal dashboard
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Storage
premium
Azure Files premium share
Azure Files premium share is an Azure Files share backed by premium storage for workloads that need predictable capacity, IOPS, and throughput. It helps application and storage architects give latency-sensitive file workloads managed storage with provisioned performance without guessing whether standard file shares can meet peak demand. You see it when profile containers, engineering tools, build systems, analytics staging, or transactional applications require faster shared file access. It still needs ownership, network design, monitoring, and recovery planning. Operators need repeatable evidence for deployment, protection, troubleshooting, and reviews, not screenshots or tribal knowledge.
Premium file shares
intermediate
4 commands
Aliases: Premium Azure file share, SSD Azure file share
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Storage
premium
Azure Tables API
Azure Cosmos DB for Table provides an API for table-style key-value data where entities are identified by partition key and row key, supporting applications written for Azure Table storage that need premium capabilities.
Table Storage
intermediate
4 commands
Aliases: Azure Table API, Cosmos DB for Table API, Azure Table Storage API
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Analytics
premium
Data Factory monitoring
The operational view of Data Factory pipeline runs, activity runs, trigger history, integration runtime health, metrics, logs, and alerts.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory monitoring, ADF monitoring, data factory monitoring
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Databases
premium
Azure SQL tempdb
Azure SQL tempdb refers to the SQL engine temporary workspace used for temporary tables, table variables, internal worktables, sorting, version store activity, and other transient database operations.
Azure SQL Database
intermediate
3 commands
Aliases: No aliases yet
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AI and Machine Learning
field-manual-complete
Azure OpenAI quota
Azure OpenAI quota is the guardrail that limits how much model capacity your workloads can use. It is not just a billing setting. Quota is commonly scoped by subscription, region, model, and deployment type, so a workload can have plenty of capacity.
Azure OpenAI
fundamentals
5 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Azure OpenAI resource
An Azure OpenAI resource is the Azure control-plane boundary that hosts deployments, endpoints, access, networking, and billing context.
Azure OpenAI
fundamentals
12 commands
Aliases: No aliases yet
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Monitoring and Observability
field-manual-ready
Monitoring Reader
Monitoring Reader is an Azure role that lets users view monitoring data and settings without broad resource management permissions.
Azure Monitor RBAC
fundamentals
4 commands
Aliases: Azure Monitor Reader, Monitoring Reader, monitoring RBAC
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AI and Machine Learning
premium
Azure OpenAI Service
Azure OpenAI Service provides managed access to OpenAI model capabilities through Azure endpoints and enterprise controls.
Generative AI
fundamentals
11 commands
Aliases: Azure OpenAI
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Monitoring and Observability
field-manual-complete
Live Metrics
Microsoft Learn describes Live Metrics in Application Insights as real-time monitoring for web applications. It lets teams watch selected metrics and performance counters live, filter telemetry, and inspect sample failed requests or exceptions while an application is running.
Application Insights
fundamentals
2 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Azure OpenAI
Azure OpenAI provides OpenAI model capabilities through Azure resources, deployments, identity, networking, quota, and monitoring controls.
Azure OpenAI
intermediate
8 commands
Aliases: Azure OpenAI Service
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Developer Tools
premium
Azure Developer CLI
An open-source developer command-line tool that accelerates provisioning, deployment, pipeline setup, and monitoring for application resources on Azure.
Developer workflow
fundamentals
6 commands
Aliases: azd
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Containers
premium
Azure Kubernetes Service
Azure Kubernetes Service is Azure’s managed Kubernetes service for deploying, scaling, and operating containerized applications while Azure manages much of the cluster control plane.
Managed Kubernetes
advanced
6 commands
Aliases: AKS, managed Kubernetes
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Hybrid and Multicloud
premium
Azure Local
Azure Local is Microsoft’s distributed infrastructure solution that extends Azure capabilities to customer-owned environments for local VMs, containers, and selected Azure services through Azure Arc.
Distributed infrastructure
advanced
6 commands
Aliases: Azure Stack HCI, Azure Local infrastructure, Arc-enabled local infrastructure
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Databases
premium
Azure Managed Redis
Azure Managed Redis is a Microsoft-managed in-memory data store based on Redis Enterprise, used for low-latency caching, session storage, messaging, and semantic cache scenarios.
Managed cache
intermediate
6 commands
Aliases: Managed Redis, Redis Enterprise on Azure, Azure Redis Enterprise
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Analytics
premium
Azure Synapse Analytics
Azure Synapse Analytics is Microsoft’s integrated analytics service for enterprise data warehousing, big data, data integration, and exploratory analytics.
Synapse Analytics
intermediate
6 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Azure AI Foundry
Create a governed project boundary where AI teams can build agents, evaluations, files, and model deployments without unmanaged sprawl.; Compare, evaluate, and approve model deployments before a generative AI feature is
AI platform
fundamentals
5 commands
Aliases: AI Foundry, Microsoft Foundry, Foundry resource, Foundry project, Azure AI Foundry, azure ai foundry
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AI and Machine Learning
premium
Azure AI Search indexer
An Azure AI Search indexer is the automated worker that fills a search index from another data source. Instead of your application pushing every document into Azure AI Search, the indexer pulls from places such as Blob Storage, Azure SQL, Cosmos DB, or Data Lake Storage. It can map fields, detect changes, crack documents, and run enrichment skills before writing searchable documents. It is useful when source data changes regularly.
AI platform and search
intermediate
5 commands
Aliases: Azure AI Search indexer, search indexer, indexer, azure-ai-search-indexer
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Analytics
premium
Azure Data Explorer
A fully managed, high-performance analytics service for near-real-time analysis of large telemetry, log, event, and time-series datasets.
Real-time analytics
intermediate
5 commands
Aliases: ADX, Kusto
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Databases
premium
Azure Database for MySQL Flexible Server
A fully managed Azure database service for MySQL workloads with configurable compute, storage, backups, networking, maintenance, and high availability options.
Managed MySQL
intermediate
5 commands
Aliases: MySQL Flexible Server
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Databases
premium
Azure Database for PostgreSQL Flexible Server
A fully managed Azure PostgreSQL service with configurable compute, storage, backups, networking, maintenance, extensions, and high availability options.
Managed PostgreSQL
intermediate
5 commands
Aliases: PostgreSQL Flexible Server
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Analytics
premium
Azure Databricks
A unified, open analytics platform on Azure for building, deploying, sharing, and maintaining enterprise data, analytics, and AI solutions at scale.
Data engineering and AI
intermediate
5 commands
Aliases: Databricks on Azure
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Analytics
premium
Azure Databricks Unity Catalog
A unified governance layer in Azure Databricks for data and AI assets, including catalogs, schemas, tables, volumes, models, privileges, and lineage.
Data governance
intermediate
5 commands
Aliases: Unity Catalog
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DevOps
premium
Azure DevOps organization
The top-level Azure DevOps Services container that connects related projects, users, repositories, pipelines, artifacts, permissions, and organization settings.
Azure DevOps
fundamentals
5 commands
Aliases: Azure DevOps org
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DevOps
premium
Azure DevOps project
A workspace inside Azure DevOps for a team to plan, track, code, build, test, deploy, and collaborate on software delivery.
Azure DevOps
fundamentals
5 commands
Aliases: ADO project
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Storage
premium
Azure Elastic SAN
A cloud-native Azure storage area network service that provides scalable, cost-effective, high-performance block storage volumes for compute workloads.
Block storage
intermediate
5 commands
Aliases: Elastic SAN
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Storage
premium
Azure HPC Cache
Azure HPC Cache was a managed Azure file-caching service for HPC workloads; Microsoft retired the service on September 30, 2025, so current work should focus on migration or historical inventory.
Retired HPC caching
advanced
5 commands
Aliases: HPC Cache, Azure Storage Cache
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Analytics
premium
Azure integration runtime
Azure integration runtime is the compute infrastructure used by Azure Data Factory and Synapse pipelines to move data, dispatch activities, and connect across network environments.
Data integration compute
intermediate
5 commands
Aliases: Integration Runtime, IR, ADF integration runtime
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Management and Governance
premium
Azure Lighthouse
Azure Lighthouse enables secure delegated management of Azure resources across customer tenants, supporting service providers and central teams with scalable cross-tenant governance.
Delegated resource management
advanced
5 commands
Aliases: Lighthouse, delegated resource management, Microsoft Managed Services delegation
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AI and Machine Learning
premium
Azure Machine Learning
Azure Machine Learning is a cloud service for managing the machine learning lifecycle, including workspaces, data, training jobs, model deployment, monitoring, and MLOps.
Machine learning operations
advanced
5 commands
Aliases: Azure ML, AML, Machine Learning workspace
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Storage
premium
Azure Managed Lustre
Azure Managed Lustre is a managed parallel file system for high-performance computing and AI workloads that need scalable, low-latency file storage in Azure.
Parallel file systems
advanced
5 commands
Aliases: Managed Lustre, Azure Managed Lustre File System, AMLFS
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Migration
premium
Azure Migrate
Azure Migrate helps organizations discover, assess, plan, and migrate servers, databases, web apps, virtual desktops, and other workloads to Azure with reduced risk.
Migration planning
intermediate
5 commands
Aliases: Migrate, Azure Migrate hub, migration assessment
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