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Web verified Working set Working set is an Azure Monitor memory metric for Web Apps and Function Apps that reports the current memory used by the app, while average memory working set reports average usage. It helps operators spot memory pressure, leaks, and plan-sizing problems. Runtime metric intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Web field-manual-complete Private bytes Private bytes tells you how much memory an app process has allocated for itself and cannot share with other processes. In App Service, it is a useful signal when a web app, Function, WebJob, or container slowly grows until it restarts, slows down, or exhausts the worker. It is not the same as every memory metric, and it does not explain the root cause by itself. Treat it as a warning light: the app may be leaking memory, caching too aggressively, processing oversized payloads, or running on an undersized plan. Runtime metric intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

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 Quick peek Open full term page

Analytics premium Azure-SSIS integration runtime Azure-SSIS integration runtime is Azure Data Factory or Azure Synapse compute that lets organizations deploy, run, and manage SQL Server Integration Services packages in Azure. Data Factory intermediate 5 commands Aliases: Azure SSIS integration runtime, Azure-SSIS IR Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Web premium Function runtime version Function runtime version is the version of the Azure Functions host that executes function code and loads trigger bindings for a Function App. Teams use it to keep code, language support, extension bundles, and hosting behavior aligned as Azure Functions evolves and older runtimes retire. In daily Azure work, it appears when engineers upgrade Node, Python, Java, or .NET functions, investigate startup failures, review support deadlines, or compare app settings across slots. It is not the application code version, package version, language worker alone, or proof that every extension and dependency is compatible. Azure Functions runtime intermediate 4 commands Aliases: Azure Functions runtime version, FUNCTIONS_EXTENSION_VERSION, Functions host version Quick peek Open full term page

Monitoring and Observability premium Metric alert Metric alert is an Azure Monitor alert rule that watches one or more metrics and triggers action when the configured condition is met. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline. Azure Monitor Alerts advanced 4 commands Aliases: Azure Monitor metric alert, metric alert rule, metric-based alert Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Web verified Web app runtime stack A web app runtime stack is the language and framework environment Azure App Service uses to run an application, such as .NET, Java, Node.js, Python, PHP, or a custom container. It affects supported versions, platform patching, startup behavior, and deployment compatibility. App Service intermediate 5 commands Aliases: App Service runtime stack, web app stack, linuxFxVersion, language runtime stack Quick peek Open full term page

Analytics complete SSIS integration runtime Microsoft Learn describes Azure-SSIS integration runtime as managed compute in Azure Data Factory or Synapse pipelines for running SQL Server Integration Services packages. It lets teams lift and run SSIS workloads in Azure while connecting to SSISDB, data stores, networks, and package dependencies. Data integration intermediate 5 commands Aliases: Azure-SSIS integration runtime, Azure SSIS IR, SSIS IR, SQL Server Integration Services runtime in Azure Quick peek Open full term page

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 Quick peek Open full term page

Analytics field-manual-complete Self-hosted integration runtime A self-hosted integration runtime is an agent you install on a server or virtual machine that can reach private data sources. Data Factory intermediate 4 commands Aliases: SHIR, self-hosted IR, Data Factory self-hosted runtime Quick peek Open full term page

Analytics top-250-pre130-priority-upgraded Integration runtime Integration runtime controls which compute, region, and network path data integration workloads use when moving data or executing pipeline activities. Data Factory intermediate 4 commands Aliases: ADF integration runtime, Azure integration runtime, self-hosted integration runtime, SSIS integration runtime, IR, Azure Data Factory integration runtime Quick peek Open full term page

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 Quick peek Open full term page

Analytics learning-path-anchor Synapse Spark pool A Synapse Spark pool is the workspace compute definition Azure Synapse uses to start Apache Spark sessions. It records node size, node count, autoscale behavior, runtime version, packages, and idle timeout so notebooks, Spark jobs, and pipelines get repeatable distributed processing. Synapse Analytics fundamentals 8 commands Aliases: Apache Spark pool, Spark pool, Synapse Apache Spark pool, serverless Spark pool Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Web premium Functions scale controller Functions scale controller is the Azure Functions component that watches trigger workload signals and decides how many app instances should run. Teams use it to match serverless capacity to event demand without manually adding workers for every queue, event stream, timer, or HTTP workload. In daily Azure work, it appears when engineers investigate backlog growth, explain unexpected scale-out, tune trigger concurrency, enable scale logs, or decide whether Premium capacity is necessary. It is not an application scheduler, a guaranteed throughput contract, a replacement for downstream capacity, or a setting that can fix inefficient function code by itself. Azure Functions scaling advanced 4 commands Aliases: Azure Functions scale controller, scale controller, Functions autoscale controller Quick peek Open full term page

Databases learning-path-anchor Synthetic partition key A synthetic partition key is a partition key value you create because no single natural field distributes Cosmos DB data well enough. For example, tenantId alone may create one huge tenant partition, while date alone may concentrate today's traffic. A synthetic key might combine tenant, region, and date bucket into one stored value that... Cosmos DB intermediate 5 commands Aliases: generated partition key, composite partition key value, calculated partition key, synthetic key Quick peek Open full term page

Monitoring and Observability learning-path-anchor Telemetry events Telemetry events are breadcrumbs that say something meaningful happened in an application. They are different from raw logs because they usually have a clear event name and structured properties. A checkout completed, a document uploaded, a feature flag changed, or a device registered can all be telemetry events. In Azure Monitor Application Insights, these events help teams understand behavior, investigate incidents, and measure product outcomes. Good events are intentional, consistently named, and tied to the que Application data advanced 5 commands Aliases: event telemetry, custom events, Application Insights events, Azure Monitor events Quick peek Open full term page

Management and Governance premium Commitment discount a cost-management arrangement where Azure gives lower pricing when an organization commits to predictable usage, spend, or capacity for a fixed period Cost Management Intermediate 3 commands Aliases: No aliases yet Quick peek Open full term page

Analytics learning-path-anchor Databricks MLflow The managed MLflow experience in Azure Databricks for experiments, runs, metrics, artifacts, model lineage, and MLOps evidence. Databricks fundamentals 4 commands Aliases: MLflow on Databricks, Databricks experiment tracking, MLflow tracking Quick peek Open full term page

Analytics learning-path-anchor Databricks Photon The native vectorized Azure Databricks engine for accelerating eligible SQL, DataFrame, ETL, and streaming workloads. Databricks intermediate 4 commands Aliases: Photon engine, Photon acceleration, Databricks vectorized engine Quick peek Open full term page

Containers learning-path-anchor System node pool A system node pool is the AKS worker pool that keeps the cluster itself functioning. It hosts core Kubernetes and AKS add-on pods such as DNS, networking agents, metrics, and connectivity components. You can technically run application pods there, but experienced teams avoid that because noisy workloads can starve the services that make the... Azure Kubernetes Service intermediate 4 commands Aliases: AKS system pool, system mode node pool, AKS platform node pool, kube-system node pool Quick peek Open full term page

Databases learning-path-anchor Temporary bytes Disk space used by temporary files created during queries, sorts, hashes, or joins. PostgreSQL advanced 4 commands Aliases: Temporary bytes, temporary bytes, Azure Temporary bytes, temp_bytes, Temporary Files Size, PostgreSQL temporary files Quick peek Open full term page

Monitoring and Observability learning-path-anchor Throughput Throughput is the amount of work a system completes over time, such as requests, messages, bytes, events, or transactions per second. In Azure, teams measure it with service metrics, logs, and capacity settings to judge whether an app, database, storage account, or messaging pipeline can sustain demand. Performance intermediate 4 commands Aliases: Throughput, throughput, Azure Throughput, Microsoft Learn Throughput, requests per second, events per second, transactions per second, bytes per second, work completed over time Quick peek Open full term page

Databases learning-path-anchor Cosmos DB dedicated gateway Azure Cosmos DB dedicated gateway is provisioned server-side compute that fronts an account and enables the integrated cache for supported NoSQL workloads. Azure Cosmos DB fundamentals 3 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Conflict resolution policy the container-level Cosmos DB setting that defines how write conflicts are resolved when more than one region can update the same data Cosmos DB intermediate 15 commands Aliases: No aliases yet Quick peek Open full term page

Containers field-manual-complete Container App environment Microsoft Learn describes a Container Apps environment as a secure boundary around one or more container apps and jobs. The runtime manages the environment by handling OS upgrades, scale operations, failover procedures, resource balancing, shared networking, and observability settings for the workloads that run inside it. Serverless containers fundamentals 5 commands Aliases: Container App environment, app-service-plan, azure-kubernetes-service, azure-monitor, container app environment, container-app-environment, container-apps, container-apps-ingress, container-apps-managed-environment, container-apps-revision, container-apps-secret, container-apps-workload-profile, managed-identity Quick peek Open full term page

Databases complete SQL Query Store Microsoft Learn describes Query Store as a SQL feature that captures a history of queries, execution plans, and runtime statistics for review. It helps troubleshoot performance changes, especially regressions caused by plan changes, and is available across SQL Server, Azure SQL Database, Azure SQL Managed Instance, and related SQL platforms. SQL performance monitoring intermediate 5 commands Aliases: Query Store, Azure SQL Query Store, SQL Server Query Store, query performance history Quick peek Open full term page

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 Quick peek Open full term page

Databases premium Cosmos DB trigger Cosmos DB trigger is a registered JavaScript pre-trigger or post-trigger for Cosmos DB for NoSQL operations inside a container. It runs server-side logic around an item operation when application code explicitly asks Cosmos DB to use it. You see it when teams maintain legacy NoSQL scripts, troubleshoot write behavior, or compare triggers with change feed and Azure Functions. The production check is whether the trigger is necessary, explicitly invoked, partition-scoped, tested, and safer than handling the logic in application code. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 8 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Search analyzer A search analyzer is the Azure AI Search text-processing component that breaks strings into searchable tokens during indexing and query execution. Built-in, language, or custom analyzers control tokenization, normalization, stemming, stop words, and other lexical behavior for searchable string fields. Azure AI Search fundamentals 8 commands Aliases: Azure AI Search analyzer, text analyzer, search text analyzer, custom analyzer, language analyzer Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Databases premium Cosmos DB spatial index Cosmos DB spatial index is an indexing-policy entry that helps Cosmos DB for NoSQL query valid GeoJSON points, lines, polygons, and multipolygons efficiently. It makes location-aware queries practical without scanning every item in a container. You see it when applications store coordinates, service areas, delivery zones, device positions, or map features in JSON items. The production check is whether GeoJSON shape, indexed path, query function, and partition strategy all line up. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 7 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB vector embedding policy Cosmos DB vector embedding policy is the container policy that defines vector paths, dimensions, data type, and distance function for embeddings stored in Cosmos DB for NoSQL. It tells Cosmos DB which item properties contain embeddings and how those vectors should be interpreted. You see it when teams build semantic search, recommendation, image similarity, or retrieval-augmented generation features on Cosmos DB data. The production check is whether the vector path, dimensions, data type, and distance function are correct before production data lands. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 7 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB vector index Cosmos DB vector index is an indexing-policy configuration that improves vector-search latency and RU efficiency for embeddings in Cosmos DB for NoSQL. It helps Cosmos DB find similar vectors without comparing every embedding in a container one by one. You see it when queries use VectorDistance, hybrid search combines text and vectors, or teams tune flat, quantized flat, and DiskANN-style index choices. The production check is whether the index type, vector path, dimensions, filters, and recall target fit the workload. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 7 commands Aliases: No aliases yet Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Integration premium Capacity unit A capacity measure used by Event Hubs Dedicated clusters. Messaging and eventing intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Conflict resolution the way Azure Cosmos DB decides the winning version when concurrent writes from multiple regions change the same item or logical record Data platform intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB serverless Cosmos DB serverless is the Cosmos DB capacity mode that bills for request units consumed and storage used instead of pre-provisioned RU/s. It lets intermittent or unpredictable workloads use Cosmos DB without reserving throughput all day. You see it when a new account is created, a workload has bursty usage, or a team compares serverless with provisioned throughput. The production check is whether consumption billing, throughput limits, regional design, and workload shape fit the production objective. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB serverless account Cosmos DB serverless account is a Cosmos DB account created with the serverless capacity mode so databases and containers are billed by consumed request units and storage. It turns serverless billing into an account-level design choice rather than a per-container toggle. You see it when teams create accounts for prototypes, seasonal apps, low-duty-cycle workloads, or services with uncertain early demand. The production check is whether the account capacity mode supports the API, scale target, compliance need, and migration plan. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB TTL Cosmos DB TTL is the time-to-live setting that lets Cosmos DB automatically delete items after a configured number of seconds. It turns data expiration into a database policy instead of a manual cleanup job. You see it when containers store sessions, events, temporary search data, soft-delete markers, or records with explicit retention windows. The production check is whether container-level TTL, item overrides, change-feed behavior, and recovery expectations match the business retention rule. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Analytics premium Data Factory Azure’s managed data integration service for creating pipelines that move, transform, schedule, and orchestrate data across cloud, SaaS, and hybrid stores. Data integration and orchestration Intermediate 6 commands Aliases: Data Factory, Data Factory, data factory Quick peek Open full term page

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 Quick peek Open full term page