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Showing 61 monitoring-observability terms.
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
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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
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Monitoring and Observability
premium
Action group
An Azure Monitor action group defines who gets notified and which actions run when an alert fires. It can include notification receivers such as email, SMS, and push, plus automation actions such as webhooks, secure webhooks, Azure Functions, Logic Apps, runbooks, ITSM, or Event Hubs.
Alerts
fundamentals
5 commands
Aliases: Azure Monitor action group, alert action group, monitor action group
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Monitoring and Observability
premium
Activity Log alert
Activity Log alert is an Azure Monitor alert rule that fires when an Activity Log event matches defined conditions. In everyday Azure work, teams use it to notify responders when important Azure control-plane events happen, such as resource deletion, service health events, or privileged changes. The useful evidence is scope, condition fields, action group, enabled
Azure Monitor alerts
intermediate
4 commands
Aliases: Azure Activity Log alert, management event alert, control-plane alert
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Monitoring and Observability
premium
AI service diagnostic settings
AI service diagnostic settings are Azure Monitor settings on an Azure AI or Foundry Tools resource that route resource logs and platform metrics to destinations such as Log Analytics, Storage, or Event Hubs for investigation and retention.
Azure Monitor
intermediate
3 commands
Aliases: Azure AI diagnostic settings, Foundry Tools diagnostic logging, Cognitive Services diagnostic settings, AI resource logs
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Monitoring and Observability
premium
Alert processing rule
An alert processing rule is an Azure Monitor rule that modifies fired alerts, such as adding or suppressing action groups, applying filters, or using schedules without changing the alert rule itself.
Azure Monitor Alerts
fundamentals
3 commands
Aliases: Azure Monitor alert processing rule, notification suppression rule, alert action rule
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Monitoring and Observability
premium
Alert rule
An alert rule is Azure Monitor configuration that watches a scope and signal, evaluates conditions, and creates alert instances when metric, log, activity, resource health, service health, or Prometheus criteria are met.
Azure Monitor Alerts
advanced
3 commands
Aliases: Azure Monitor alert rule, monitoring rule, metric alert rule, log alert rule
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Monitoring and Observability
premium
App role name
An Application Insights telemetry value, also known as cloud role name, that identifies the logical application component shown in Application Map and related telemetry queries. It helps learners understand where the concept appears in Azure operations and what to verify before changing it.
Telemetry
fundamentals
2 commands
Aliases: App role name, app role name, application insights role name, cloud role name, cloud_RoleName
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Monitoring and Observability
premium
AppDependencies
AppDependencies is the Azure Monitor Logs table used by Application Insights to store dependency telemetry for downstream calls such as HTTP services, SQL databases, storage, queues, and other remote components. Use it to reason about App Service behavior, validate configuration with CLI, and prevent hidden production impact from networking, scaling, recovery, security, or observability changes.
Application Insights
fundamentals
2 commands
Aliases: No aliases yet
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Monitoring and Observability
premium
AppExceptions
the Azure Monitor Logs table that stores exception telemetry collected from Application Insights-enabled applications.
Application Insights table
intermediate
2 commands
Aliases: AppExceptions, appexceptions
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Monitoring and Observability
premium
Application Insights connection string
An Application Insights connection string specifies the Application Insights resource and endpoints that an instrumented application uses to send telemetry.
Application Insights
fundamentals
3 commands
Aliases: APPLICATIONINSIGHTS_CONNECTION_STRING, application insights connection string
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Monitoring and Observability
premium
Application map
Application Map is an Application Insights view that visualizes application components and dependencies using telemetry, helping teams identify bottlenecks and failure hotspots.
Application Insights
fundamentals
2 commands
Aliases: application map
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Monitoring and Observability
premium
AppRequests
AppRequests is an Azure Monitor Logs table for Application Insights request telemetry, including request duration, result code, success state, operation, and related application context.
Application Insights table
fundamentals
2 commands
Aliases: Application Insights requests table, apprequests
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Monitoring and Observability
premium
AppTraces
AppTraces is the Azure Monitor table where Application Insights stores trace and log messages emitted by an application. In plain terms, it is where developers and operators look for the app’s own words during troubleshooting. Requests and dependencies explain what happened around the app, but traces often explain what the code thought it.
Application Insights table
intermediate
2 commands
Aliases: Application Insights traces, traces table, Azure Monitor AppTraces, trace telemetry table
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Monitoring and Observability
premium
Availability result
Availability result is the recorded outcome of an Application Insights availability test run, including whether the probe succeeded, how long it took, and where it ran. In Azure, teams encounter it when teams query Azure Monitor Logs after a synthetic web test reports failures, slow responses, or regional differences. The useful question is what behavior
Availability
intermediate
4 commands
Aliases: AppAvailabilityResults, availability test result, Application Insights availability result
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Monitoring and Observability
premium
Availability test
Availability test is an outside-in monitor that repeatedly calls a public HTTP or HTTPS endpoint and records whether it responded quickly enough. In Azure, teams encounter it when product teams need synthetic checks for websites, APIs, or critical external dependencies before users report an outage. The useful question is what behavior it proves, who owns
Availability
intermediate
4 commands
Aliases: Application Insights availability test, web test, standard test, synthetic test
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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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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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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
Browser telemetry
Browser telemetry is client-side performance and usage data collected from web browsers, commonly through the Application Insights JavaScript SDK in Azure Monitor.
Frontend performance
advanced
3 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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Monitoring and Observability
premium
Correlation ID
A correlation ID links telemetry records that belong to the same request, operation, or transaction.
Tracing
fundamentals
3 commands
Aliases: No aliases yet
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Monitoring and Observability
premium
Cumulative Layout Shift
a web performance metric that measures how much visible page content unexpectedly moves while a user is trying to read or interact.
Web performance
advanced
3 commands
Aliases: CLS, Core Web Vitals CLS, layout shift metric
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Monitoring and Observability
premium
Database diagnostic settings
Azure Monitor routing rules that export database logs and metrics to Log Analytics, Storage, Event Hubs, or partner destinations for investigation and governance.
Azure Monitor
intermediate
4 commands
Aliases: SQL diagnostic settings, database diagnostics export, Azure Monitor diagnostic settings for databases
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Monitoring and Observability
premium
Diagnostic setting
A diagnostic setting is an Azure Monitor configuration that routes platform logs and metrics from a resource to supported destinations such as Log Analytics, Event Hubs, or Storage.
Diagnostics
fundamentals
4 commands
Aliases: Azure Monitor diagnostic setting, resource diagnostic setting, platform log routing, diagnostic settings
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Monitoring and Observability
premium
Diagnostic settings for storage
Diagnostic settings for storage route Azure Storage platform logs and metrics, including service-specific operations where supported, to destinations such as Log Analytics, Event Hubs, or Storage for investigation and compliance.
Data operations
intermediate
4 commands
Aliases: storage diagnostic settings, Azure Storage diagnostic settings, Storage account diagnostic settings, storage platform log routing
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Monitoring and Observability
premium
Diagnostic settings policy
A diagnostic settings policy is an Azure Policy definition or initiative that audits, denies, or deploys diagnostic settings at scale so supported resources send logs and metrics to approved destinations.
Governance operations
intermediate
4 commands
Aliases: Azure Policy for diagnostic settings, diagnostic settings Azure Policy, policy-based diagnostic settings, deploy diagnostic settings policy
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Monitoring and Observability
premium
Distributed tracing
Distributed tracing follows a request across services, dependencies, and process boundaries so teams can understand latency, failures, and call relationships in a distributed application.
Application telemetry
intermediate
4 commands
Aliases: end-to-end tracing, OpenTelemetry tracing, application distributed trace, transaction trace
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Monitoring and Observability
premium
Error budget
An error budget is the amount of unreliability a service can consume while still meeting its service level objective over a defined measurement window.
SRE and reliability
intermediate
4 commands
Aliases: error budget
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Monitoring and Observability
premium
Error rate
Error rate is the proportion of requests, operations, or events that fail compared with the total volume over a defined time window.
Metrics and SRE
fundamentals
4 commands
Aliases: error rate
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Monitoring and Observability
premium
HTTP 4xx
HTTP 4xx refers to client error responses, such as unauthorized, forbidden, not found, or bad request, observed by Azure applications and monitoring tools.
HTTP operations
intermediate
4 commands
Aliases: HTTP 4xx, http 4xx
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Monitoring and Observability
premium
HTTP 5xx
HTTP 5xx refers to server error responses that indicate an application, platform component, gateway, or downstream dependency failed to handle a request.
HTTP operations
intermediate
4 commands
Aliases: HTTP 5xx, http 5xx
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Monitoring and Observability
premium
HTTP queue length
HTTP queue length is an App Service plan metric that shows the average number of HTTP requests waiting in the queue before being fulfilled.
Azure App Service
intermediate
5 commands
Aliases: HTTP queue length, http queue length
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Monitoring and Observability
premium
Instrumentation key
Instrumentation key controls which Application Insights component receives telemetry and how older application configurations identify the target monitoring resource. Teams see it in application insights resource properties, app settings. It is not a secret access key, API key, SAS token, Log Analytics workspace ID, or managed identity credential; confusing them can create missing telemetry, cross-environment data pollution. Use the term when reviewing access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same setting, resource, or behavior.
Application Insights
Fundamentals
5 commands
Aliases: ikey, Application Insights instrumentation key, AI instrumentation key, telemetry instrumentation key
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Monitoring and Observability
premium
Interaction to Next Paint
Interaction to Next Paint controls how teams measure whether web pages feel responsive after real user interactions, especially for Azure-hosted web apps and customer portals. Teams see it in microsoft edge devtools, microsoft clarity dashboards. It is not server response time, Time to First Byte, First Input Delay, Cumulative Layout Shift, or a backend CPU metric; confusing them can create slow clicks, abandoned checkout flows. Use the term when reviewing access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same setting, resource, or behavior.
Web Vitals
Intermediate
5 commands
Aliases: INP, Core Web Vitals INP, web responsiveness metric, interaction responsiveness
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Monitoring and Observability
premium
KQL
KQL controls how operators search telemetry, detect incidents, investigate performance, build dashboards, create alerts, and summarize operational evidence across Azure services. Teams see it in log analytics workspaces, azure monitor logs. It is not SQL, PromQL, OData filters, ARM template expressions, Azure Data Factory expression language, or application code; confusing them can create missed incidents, expensive queries. Use the term when reviewing access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same setting, resource, or behavior.
Query language
Fundamentals
5 commands
Aliases: Kusto Query Language, Kusto query, Azure Monitor query language, Sentinel query language
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Monitoring and Observability
premium
KQL function
KQL function controls how teams reuse common filters, joins, calculations, detections, and normalization logic across monitoring, security, and analytics workloads. Teams see it in azure data explorer databases, microsoft sentinel hunting queries. It is not an Azure Function app, SQL stored procedure, Logic Apps workflow, user-defined scalar operator, or ARM template function; confusing them can create stale detection logic, broken dashboards. Use the term when reviewing access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same setting, resource, or behavior.
Query language
Intermediate
5 commands
Aliases: Kusto function, user-defined KQL function, stored Kusto function, query-defined function
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Monitoring and Observability
premium
Log Analytics table
A Log Analytics table is the named storage structure inside a Log Analytics workspace that holds one kind of Azure Monitor log record, with its own schema, plan, retention behavior, access considerations, and KQL query patterns for troubleshooting, analytics, and compliance.
Azure Monitor Logs
fundamentals
4 commands
Aliases: No aliases yet
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Monitoring and Observability
premium
Log Analytics workspace
A Log Analytics workspace is the Azure Monitor Logs data store where collected log records are retained, secured, queried with KQL, and used by alerts, workbooks, Microsoft Sentinel, Application Insights, and operations teams to troubleshoot and govern Azure workloads in governed production environments.
Azure Monitor Logs
fundamentals
4 commands
Aliases: workspace, LAW
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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
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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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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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Monitoring and Observability
premium
Search service diagnostic logs
Search service diagnostic logs are Azure Monitor resource logs from Azure AI Search that record query, suggest, autocomplete, lookup, indexing, service statistics, and operational events. They are collected in Log Analytics or storage when diagnostic settings are enabled on the search service.
Data operations
intermediate
5 commands
Aliases: Azure AI Search logs, search resource logs, Microsoft.Search diagnostics, search operation logs, Search diagnostic settings
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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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Monitoring and Observability
verified
Data collection endpoint
An Azure Monitor resource that provides regional endpoints used by agents and data collection rules for configuration access and telemetry ingestion.
Azure Monitor data collection
Intermediate
4 commands
Aliases: DCE, Azure Monitor DCE, monitor data collection endpoint
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Monitoring and Observability
verified
Data collection rule
An Azure Monitor resource that defines what telemetry to collect, how to transform it, and where to send it.
Azure Monitor data collection
Intermediate
4 commands
Aliases: DCR, Azure Monitor DCR, monitor collection rule
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Monitoring and Observability
field-manual-complete
Largest Contentful Paint
Largest Contentful Paint is a web performance metric that measures how quickly the largest visible content element in the viewport finishes rendering. Microsoft guidance treats it as a loading-experience signal, commonly associated with Core Web Vitals and a target of about 2.5 seconds for good user experience.
Web Vitals
advanced
2 commands
Aliases: No aliases yet
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Monitoring and Observability
field-manual-complete
Latency
Latency is the time delay between a request, event, or operation starting and the useful result becoming available. In Azure, Microsoft Learn discusses latency through metrics, Application Insights durations, dependency calls, ingestion delay, performance monitoring, and architecture choices that affect user experience and operational response.
Performance
intermediate
2 commands
Aliases: No aliases yet
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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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Monitoring and Observability
verified
P50
P50 is the 50th percentile, or median, of a measured population such as request latency. In Azure monitoring and Kusto queries, percentile metrics show the value at or below which a percentage of samples fall, helping teams compare typical experience with tail behavior.
Performance
intermediate
4 commands
Aliases: 50th percentile, median latency, median percentile, p50 latency
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Monitoring and Observability
verified
P95
P95 is the 95th percentile of a measured population such as request latency. In Azure monitoring and Kusto queries, it shows the value at or below which 95 percent of samples fall, making it useful for tail-latency analysis and workload performance objectives.
Performance
intermediate
4 commands
Aliases: 95th percentile, tail latency, p95 latency, 95 percentile latency
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Monitoring and Observability
verified
P99
P99 is the 99th percentile of a measured set, such as request duration or dependency latency. In Azure monitoring and Kusto queries, it shows the value at or below which 99 percent of samples fall, helping teams examine extreme tail behavior.
Performance telemetry
intermediate
4 commands
Aliases: 99th percentile, p99 latency, tail percentile, extreme tail latency
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Monitoring and Observability
verified
Workspace retention
Workspace retention defines how long Log Analytics data remains available for analytics and how long it is kept in long-term retention. Retention can be configured at workspace and table levels, affecting query availability, search jobs, compliance evidence, incident review, and Azure Monitor storage cost before data is deleted.
Logs
fundamentals
5 commands
Aliases: Log Analytics retention, Workspace data retention, Azure Monitor Logs retention, Table retention
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Monitoring and Observability
top-250-pre130-priority-upgraded
Activity Log
Activity Log is a subscription-level record of Azure control-plane events such as resource create, update, delete, policy, service-health, alert, and administrative actions in Azure.
Azure Monitor
fundamentals
4 commands
Aliases: Azure Activity Log, Azure Monitor Activity Log, control-plane log, Activity Log
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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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Monitoring and Observability
template-specs-upgraded
Sampling
Sampling keeps a representative share of telemetry so diagnostics remain useful without sending every trace, dependency, request, or log to Azure Monitor.
Telemetry
fundamentals
3 commands
Aliases: Application Insights sampling, telemetry sampling, OpenTelemetry sampling, fixed-rate sampling, rate-limited sampling
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Monitoring and Observability
template-specs-upgraded
Scheduled query alert
A scheduled query alert is an Azure Monitor alert built from a KQL query that runs again and again on a defined cadence.
Monitoring
advanced
6 commands
Aliases: log search alert, Azure Monitor scheduled query rule, scheduledQueryRules, KQL alert, Log Analytics alert
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Monitoring and Observability
complete
SLA
A formal availability commitment for an Azure service or configuration, separate from the workload SLO users actually experience.
Reliability
fundamentals
5 commands
Aliases: service-level agreement, service level agreement, Azure SLA, availability commitment
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Monitoring and Observability
complete
SLO
Microsoft Learn reliability guidance treats a service-level objective as a measurable target for how well a workload should serve users, usually expressed through availability, latency, error rate, or another service-level indicator. In Azure, SLOs are implemented through monitoring, alerts, dashboards, and error-budget decisions rather than as one standalone resource.
Reliability
fundamentals
2 commands
Aliases: Service-level objective, Service level objective, reliability objective, error budget target
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