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Showing 50 of 252 matching terms. Narrow the search to reduce the list.
Management and Governance
premium
Cloud resource hygiene
Cloud resource hygiene is an operational governance practice for keeping Azure resources organized, tagged, owned, secured, monitored, costed, and retired when no longer needed.
Operational hygiene
intermediate
3 commands
Aliases: No aliases yet
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Management and Governance
verified
Operational excellence recommendation
An operational excellence recommendation is an Azure Advisor finding that points to better process efficiency, resource manageability, or deployment practice. It appears on the Advisor Operational Excellence tab and helps teams improve day-to-day operations, governance, and production readiness before small platform issues become recurring incidents.
Azure Advisor
fundamentals
7 commands
Aliases: Azure Advisor operational excellence recommendation, Advisor operational excellence, operational excellence advice, Azure operational hygiene recommendation
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Monitoring and Observability
premium
Azure Resource Health
Azure Resource Health reports current and past health for individual Azure resources and helps diagnose service-impacting problems.
Operational hygiene
fundamentals
5 commands
Aliases: Azure Resource Health, Azure resource health status, Resource Health, resource availability status
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Monitoring and Observability
premium
Service Health alert
A Service Health alert is an Azure Monitor activity log alert that watches ServiceHealth events for selected subscriptions, regions, and services. It routes incident, planned maintenance, security, or health advisory notifications to action groups so teams learn about platform issues before users report symptoms.
Operational hygiene
intermediate
5 commands
Aliases: Azure Service Health alert, Service Health alert, ServiceHealth activity log alert, platform health alert, service health alert, service-health-alert
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Compute
premium
Availability zone strategy
An availability zone strategy answers a practical question: if part of a region has a problem, what keeps the workload alive? Azure availability zones are separate groups of datacenters inside a supported region, and they are designed with independent power, cooling, and networking. That does not mean every resource automatically becomes zone-resilient. Microsoft Learn anchors this term in What are Azure availability zones?, but this field-manual definition is intentionally wider than an older short glossary entry because the page must teach what to inspect, what can break, who owns the.
Operational hygiene
fundamentals
4 commands
Aliases: No aliases yet
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Monitoring and Observability
premium
Change Analysis
Change Analysis helps identify changes that may have affected application or resource behavior.
Operational hygiene
fundamentals
4 commands
Aliases: No aliases yet
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Management and Governance
verified
Resource drift
Resource drift is the gap between the intended Azure configuration in code, policy, or design and the resource state that actually exists after manual changes or unmanaged deployments.
Operational hygiene
intermediate
5 commands
Aliases: Azure resource drift, infrastructure drift, configuration drift, IaC drift, deployment drift
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Management and Governance
verified
Resource lifecycle
Resource lifecycle is the story of what happens to an Azure resource from the moment someone asks for it until it is retired. It includes naming, approval, deployment, ownership, tagging, access, monitoring, patching, scaling, cost review, backup, policy compliance, change control, and cleanup. The point is not paperwork. The point is knowing who owns the resource, why it exists, what depends on it, how it changes safely, and when it should be removed. Without that trail, every later change becomes slower and riskier.
Operational hygiene
fundamentals
5 commands
Aliases: Cloud resource lifecycle, Resource retirement lifecycle
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Management and Governance
complete
Stale resource
Microsoft Learn guidance around governance, Advisor, Resource Graph, and environment management supports treating stale resources as cloud assets that no longer show clear ownership, usage, or recent change activity. The concept helps teams find abandoned workloads, reduce risk, and clean up cost before forgotten resources become incidents.
Operational hygiene
intermediate
5 commands
Aliases: stale-resource, Stale resource, unused Azure resource, orphaned resource, abandoned cloud resource, stale cloud asset
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Management and Governance
verified
Orphaned resource
An orphaned resource is an Azure resource that still exists but no longer has a clear owner, workload, lifecycle plan, or business purpose. It is usually found through tags, activity history, cost reports, resource inventory, or governance reviews, then confirmed before cleanup to avoid deleting shared dependencies.
Operational hygiene
intermediate
4 commands
Aliases: unowned Azure resource, unused Azure resource, abandoned resource, stale cloud asset
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Storage
learning-path-anchor
Data Lake storage account
A storage feature or access model in Data Lake Storage Gen2 that helps teams store, protect, move, and govern application or analytics data with clearer ownership, safety, and operational context.
Data Lake Storage Gen2
advanced
19 commands
Aliases: No aliases yet
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Storage
learning-path-anchor
Sync group
A sync group is the container that tells Azure File Sync which cloud file share and which Windows Server folders should stay synchronized. Think of it as one file namespace with a hub in Azure and one or more on-premises or edge locations attached to it. If two groups represent different shares or business...
Files, queues, and tables
fundamentals
6 commands
Aliases: Azure File Sync group, file sync group, sync topology, storage sync group
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Analytics
learning-path-anchor
Synapse SQL script
A Synapse SQL script is a saved T-SQL authoring artifact in Synapse Studio. Users create or import scripts in the Develop hub, connect them to a dedicated or serverless SQL pool, run queries, review tabular results, export output, and organize scripts into folders.
Synapse Analytics
fundamentals
5 commands
Aliases: SQL script in Synapse, Synapse Studio SQL script, T-SQL script artifact, Synapse query script
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Storage
learning-path-anchor
Table Storage
Table Storage is Azure Storage for simple structured NoSQL records. You create tables, store entities, and identify each entity with a PartitionKey and RowKey. It is useful when the data is large, sparse, inexpensive to keep, and usually accessed by known keys. It is not a relational database, search engine, or analytics warehouse. The best fit is operational data that can be denormalized, read directly, updated independently, and kept cheap without requiring joins, stored procedures, or secondary indexes.
Table Storage
fundamentals
5 commands
Aliases: Azure Table Storage, Storage Tables, Azure Storage Tables, Azure Tables storage
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Management and Governance
learning-path-anchor
Tagging strategy
A tagging strategy is the playbook for using tags without making a mess. It answers simple but important questions: which tags are required, who owns the list, which values are allowed, where tags are applied, and what happens when a resource is missing one. Without a strategy, tags become random notes. With a strategy, tags become a dependable system for cost allocation, ownership, lifecycle cleanup, compliance evidence, and operational routing. The best strategies are small enough to follow and strict enough to m
Tags and naming
fundamentals
5 commands
Aliases: Azure tagging strategy, tag governance strategy, tag taxonomy, resource tagging standard
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Management and Governance
premium
Cost recommendation
Cost recommendation is an Azure glossary term for an Azure Advisor or Cost Management suggestion that identifies a likely way to reduce spend or improve cost efficiency. In practice, it helps teams reason about turning usage and configuration telemetry into actionable savings opportunities such as right-sizing, cleanup, reservations, or commitment planning 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 Advisor
intermediate
3 commands
Aliases: No aliases yet
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Analytics
learning-path-anchor
Databricks model serving
A managed serving endpoint pattern for exposing Databricks models or AI workloads for online inference with operational controls.
Databricks
intermediate
4 commands
Aliases: Databricks Model Serving, serving endpoint, model serving endpoint
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Analytics
learning-path-anchor
Databricks notebook
A collaborative Azure Databricks document for code, SQL, visualizations, exploration, jobs, and ML workflows attached to compute.
Databricks
fundamentals
4 commands
Aliases: Azure Databricks notebook, Databricks workspace notebook, interactive notebook
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Analytics
learning-path-anchor
Databricks schema
A Unity Catalog namespace under a catalog that groups tables, views, volumes, models, functions, and permissions.
Databricks
fundamentals
4 commands
Aliases: Unity Catalog schema, Databricks database schema, schema in Unity Catalog
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Analytics
learning-path-anchor
Databricks secret scope
A named Databricks collection of secrets used to store credentials and grant controlled read or manage access to workloads.
Databricks
fundamentals
4 commands
Aliases: Databricks secrets scope, secret scope, Azure Databricks secrets
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Storage
learning-path-anchor
Table schema-less design
Table schema-less design means the table gives you a consistent place to store entities, but it does not force every entity to have the same application fields. One record can have Status and ExpirationUtc while another has RetryCount and Region. The required identity fields still matter, especially PartitionKey and RowKey. The design freedom is helpful, but it is not permission to ignore data contracts. Teams still need naming rules, versioning, validation, and reader behavior for missing or older properties.
Table Storage
fundamentals
4 commands
Aliases: schema-less Table design, schemaless table design, Azure Table sparse schema, Table Storage flexible properties
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Databases
learning-path-anchor
Time to live
Time to live in Azure Cosmos DB automatically expires items after a configured number of seconds. TTL can be set at the container level and overridden per item, helping teams remove stale operational data, limit storage growth, and keep queries focused on current records.
Azure Cosmos DB
intermediate
4 commands
Aliases: Time to live, time to live, Azure Time to live, Microsoft Learn Time to live, TTL, Cosmos DB TTL, defaultTtl, item expiration, container TTL
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Databases
premium
Change feed processor
A database capability or setting in Azure Cosmos DB that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure Cosmos DB
fundamentals
15 commands
Aliases: No aliases yet
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Storage
command-rich
Secondary storage region
The secondary storage region is the other region involved when an Azure Storage account uses geo-redundant options such as GRS or GZRS. Under normal conditions, applications write to the primary region, and Azure asynchronously copies data to the secondary region. Microsoft Learn anchors this term in Data redundancy - Azure Storage, but this field-manual definition is intentionally wider than an older short glossary entry because the page must teach what to inspect, what can break, who owns the decision, and which evidence proves the Azure environment is behaving as intended..
Storage platform
intermediate
4 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Computer Vision
the Azure AI capability that helps applications understand images, read text, detect visual features, and return structured insights from pictures or screenshots
Azure AI services
fundamentals
12 commands
Aliases: No aliases yet
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Analytics
premium
Change data capture in Data Factory
A Data Factory capability for processing changed data from supported sources.
Data integration
intermediate
10 commands
Aliases: CDC
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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 PowerShell
Azure PowerShell is Microsoft’s Az module collection for managing Azure resources from PowerShell.
Command line
fundamentals
7 commands
Aliases: Az PowerShell module, Az module, Azure PowerShell, Azure PowerShell cmdlets, PowerShell for Azure
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Databases
premium
Cosmos DB physical partition
Cosmos DB physical partition means a fully managed internal storage and compute partition that hosts ranges of logical partition keys in Azure Cosmos DB. In plain English, it is the thing developers and operators check when they need to understand how data access really works. It connects the application model to automatic scale-out, replica placement, RU distribution, and operational signals such as hot partition diagnostics. For a production team, it turns vague database talk into a specific thing to inspect in the portal, SDK code, templates, metrics, and incident notes.
Azure Cosmos DB
intermediate
7 commands
Aliases: No aliases yet
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Databases
premium
Cosmos DB provisioned throughput
Cosmos DB provisioned throughput means the request-unit-per-second capacity reserved for a database or container, either manually or with autoscale behavior in Azure Cosmos DB. In plain English, it is the thing developers and operators check when they need to understand how data access really works. It connects the application model to capacity planning, throttling prevention, RU allocation, cost control, and predictable performance for operational workloads. For a production team, it turns vague database talk into a specific thing to inspect in the portal, SDK code, templates, metrics, and incident notes.
Azure Cosmos DB
intermediate
7 commands
Aliases: No aliases yet
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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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Databases
premium
Bulk executor
Bulk executor is the Azure Cosmos DB capability or library pattern for sending many create, update, patch, delete, or import operations efficiently instead of processing documents one at a time.
Data platform
intermediate
6 commands
Aliases: No aliases yet
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Storage
premium
Data Lake curated zone
The governed, consumer-ready area of a data lake where cleaned, conformed, and documented datasets are served for reporting, analytics, AI, or downstream applications.
Data Lake Storage Gen2
Intermediate
6 commands
Aliases: No aliases yet
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Analytics
premium
Databricks cluster
A Databricks compute resource that runs notebooks, jobs, libraries, Spark workloads, and data processing tasks using configured runtime, workers, policies, and access controls.
Azure Databricks
fundamentals
6 commands
Aliases: Databricks compute, Azure Databricks compute cluster, classic cluster
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Databases
premium
PostgreSQL flexible server
The managed Azure PostgreSQL server resource that owns compute, storage, backups, networking, high availability, parameters, and databases.
PostgreSQL flexible server
fundamentals
6 commands
Aliases: PostgreSQL flexible server, postgresql flexible server, Azure Database for PostgreSQL flexible server, managed PostgreSQL, backup retention, high availability, private access
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Databases
premium
Active connections
Active connections are the current database client sessions using a database service. For Azure SQL Database, Azure Monitor exposes this operational signal through metrics such as Sessions count and Sessions percentage, which help operators spot connection leaks, pool pressure, and client behavior that can affect availability.
Azure SQL monitoring
intermediate
5 commands
Aliases: database active sessions, SQL sessions count, database connection count
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Web
premium
App Service Environment
Microsoft Learn describes App Service Environment as a single-tenant App Service deployment that runs in a customer virtual network. It hosts App Service plans and apps with stronger network isolation, dedicated compute boundaries, and high-scale hosting compared with the public multitenant App Service model.
App Service isolation
intermediate
5 commands
Aliases: ASE, Azure App Service Environment, app service environment
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Web
premium
App Service Plan
Microsoft Learn describes an App Service plan as the set of compute resources where App Service apps run. The plan defines region, operating system, pricing tier, instance size, scale capacity, and feature availability for one or more hosted apps within the same compute boundary.
App Service hosting plans
intermediate
5 commands
Aliases: Azure App Service plan, serverfarm, App Service hosting plan
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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 SQL auditing
Azure SQL auditing tracks database events and writes audit logs to supported destinations such as storage, Log Analytics, or Event Hubs.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure SQL audit logs, Azure SQL auditing, SQL auditing, database auditing
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Databases
premium
Azure SQL Database
Azure SQL Database is a fully managed relational database service in Azure that provides SQL Server-compatible engines as single databases, elastic pools, and serverless or provisioned compute choices. Microsoft Learn presents it as platform as a service with built-in availability, backups, patching, scaling, and security integration.
Database
intermediate
5 commands
Aliases: Azure SQL DB, Azure SQL Database, Azure SQL pooled database, Azure SQL single database, SQL Database
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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 hyperscale
Azure SQL Database Hyperscale is a service tier built for very large databases, fast storage scaling, rapid backups and restores, and high throughput. Microsoft Learn describes its distinct architecture, including separated compute and storage, page servers, log service, and optional replicas.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Azure SQL ledger
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Azure SQL long-term retention
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Azure SQL maintenance window
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Azure SQL Microsoft Entra authentication
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Azure SQL point-in-time restore
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Batch deployment
A batch deployment in Azure Machine Learning is the deployment configuration behind a batch endpoint, defining the model or pipeline, compute, environment, and execution behavior for asynchronous inference.
Azure Machine Learning
intermediate
5 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Chat completion
A AI platform capability in Azure OpenAI that helps teams build, secure, observe, and govern intelligent applications with clearer ownership, safety, and operational context.
Azure OpenAI
fundamentals
5 commands
Aliases: No aliases yet
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