docs(architect): weekly KB update — 66 files refreshed (2026-04)
Updated 66 stale knowledge base reference files (10 critical, 56 high) across all 5 skills using Microsoft Learn MCP research. Key factual updates: - Groundedness Detection API: `correction` → `mitigating` param, `correctedText` → `correctionText` (breaking change) - Copilot Studio: GPT-4.1 mini now default (was GPT-4o mini); Claude Sonnet 4.5 + Opus 4.5 added (experimental, 200K ctx) - Agentic Retrieval: still public preview; 50M free tokens/month - Azure security baselines: "Cognitive Services" → "Foundry Tools" - Databricks: Delta Live Tables → Lakeflow Spark Declarative Pipelines - MLflow 3 GenAI: new Feedback/Expectation data model - Token tracking doc: "Azure OpenAI in Foundry Models through a gateway" - Agent Registry: Risks column (M365 E7), Graph API (preview) - Copilot DLP: new Entra AI Admin + Purview Data Security AI Admin roles - ISO/IEC 42001: scope expanded to M365 Copilot, Foundry, Security Copilot - Zero Trust: CAE now via Conditional Access, Strict Location Enforcement - Purview: new Fabric Copilots/agents governance section - AG-UI HITL: ApprovalRequiredAIFunction (C#), @tool approval_mode (Python) All files: Last updated → 2026-04, *(Verified MCP 2026-04)* markers added. Build registry: 1341 URLs from 387 files (+2 new URLs). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@ -1,6 +1,6 @@
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# Real-Time Streaming and Live Monitoring Dashboards
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**Last updated:** 2026-02
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**Last updated:** 2026-04
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**Status:** GA
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**Category:** Monitoring & Observability
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@ -29,28 +29,21 @@ Begge løsningene har ulike arkitekturer: Live Metrics bruker en dedikert push-b
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| **Exception Stack Traces** | Full stack traces for exceptions når de skjer | Real-time |
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| **Control Channel** | Secure channel for filter-signaler (krever Entra ID auth) | N/A |
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**Støttede plattformer:**
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**Støttede plattformer (oppdatert 2026-04):** *(Verified MCP 2026-04)*
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| Plattform | Basic metrics | Performance metrics | Custom filtering | Sample telemetry |
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|-----------|---------------|--------------------|-----------------|-----------------|
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| .NET (ASP.NET Core) | Støttet | Støttet | Støttet | Støttet |
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| ASP.NET (classic) | **Ikke støttet** med OpenTelemetry | — | — | — |
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| Java | Støttet | Støttet | **Ikke støttet** | Støttet (V3.2.0+) |
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| Node.js | Støttet (V1.3.0+) | Støttet | Støttet | Støttet |
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| Python | Støttet (Distro 1.6.0+) | Støttet (Distro 1.8.2+) | Støttet (Distro 1.0.0+) | Støttet (Distro 1.5.0+) |
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```csharp
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// ASP.NET Core - OpenTelemetry (anbefalt, enabled by default)
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builder.Services.AddOpenTelemetry().UseAzureMonitor(options => {
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options.EnableLiveMetrics = true; // Default: true
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});
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// ASP.NET Core - Classic API (manual config)
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using Microsoft.ApplicationInsights.Extensibility.PerfCounterCollector.QuickPulse;
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var quickPulseProcessor = null;
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config.DefaultTelemetrySink.TelemetryProcessorChainBuilder
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.Use((next) => {
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quickPulseProcessor = new QuickPulseTelemetryProcessor(next);
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return quickPulseProcessor;
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})
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.Build();
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var quickPulseModule = new QuickPulseTelemetryModule();
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quickPulseModule.Initialize(config);
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quickPulseModule.RegisterTelemetryProcessor(quickPulseProcessor);
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```
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**Nøkkelegenskaper:**
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@ -68,7 +61,10 @@ quickPulseModule.RegisterTelemetryProcessor(quickPulseProcessor);
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| **Eventhouse** | Time-series optimalisert database for streaming data | Subsecond ingestion |
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| **Eventstream** | No-code streaming pipelines med transformasjoner | Near real-time |
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| **Data Activator** | Event detection med subsecond latency, trigger actions | < 1 sekund |
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| **Copilot for Dashboards** | AI-generert dashboard fra natural language prompts | N/A |
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| **Copilot for Dashboards** | AI-generert dashboard fra natural language prompts; Copilot tilgjengelig direkte i tile editor for KQL-generering *(Verified MCP 2026-04)* | N/A |
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| **Git integration** | Synkroniser dashboards med GitHub eller Azure DevOps for versjonskontroll *(Verified MCP 2026-04)* | N/A |
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| **Permission separation** | Del dashboards sikkert uten å eksponere underliggende data *(Verified MCP 2026-04)* | N/A |
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| **Explorer Data** | Analyser underliggende data uten å skrive KQL-queries *(Verified MCP 2026-04)* | N/A |
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**Støttede datakilder:**
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@ -128,7 +124,7 @@ Developer → Deploy til Azure → App starter → Live Metrics åpnes i portal
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**Ulemper:**
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- Krever manuell observasjon (ingen alerting)
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- Data persisteres ikke (kun for live debugging)
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- Control channel må sikres med Entra ID for production (API keys deprecated Sept 2025)
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- Control channel må sikres med Entra ID for production (API keys retired **30. september 2025** *(Verified MCP 2026-04)*)
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**Når bruke:**
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- Debugging av nye deployments
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@ -234,7 +230,7 @@ Data i Live Metrics discarderes når du lukker panen. Bruk Logs eller Metrics Ex
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Høyere refresh rate = høyere compute cost. Bruk 30-60s for most production dashboards, 10s kun for critical metrics.
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❌ **Bruke usecured control channel i production**
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API keys for Live Metrics retired Sept 2025. Migrer til Entra ID authentication.
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API keys for Live Metrics retired **30. september 2025**. Migrer til Entra ID authentication. *(Verified MCP 2026-04)*
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### Røde flagg
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@ -462,8 +458,8 @@ Live Metrics er designet for debugging, ikke production monitoring. Mangler aler
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⚠️ **Underestimere Fabric capacity krav**
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Real-Time Dashboard krever minimum F2 SKU. Start med F2, skaler opp hvis CU throttling.
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⚠️ **Ignorere API key deprecation (Sept 2025)**
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Migrer til Entra ID authentication for Live Metrics control channel NÅ, ikke vent til deadline.
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⚠️ **Ignorere API key deprecation (30. sept 2025)**
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API keys er nå **retired**. Applikasjoner som bruker API keys kan ikke lenger sende live metrics data. Migrer til Entra ID authentication umiddelbart. *(Verified MCP 2026-04)*
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⚠️ **Sette for aggressive refresh rates**
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10s refresh på alle dashboards gir høy CU cost. Bruk 30-60s for de fleste metrics.
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@ -532,9 +528,9 @@ Real-Time Dashboard er IKKE erstatning for data warehouse. Bruk for operational
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https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/observability
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**Confidence:** Verified (Feb 2026) - AI Foundry monitoring integration
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8. **Implement advanced monitoring for Azure OpenAI through a gateway**
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8. **Implement advanced monitoring for Azure OpenAI in Foundry Models through a gateway**
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https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/azure-openai-gateway-monitoring#near-real-time-monitoring
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**Confidence:** Verified (Feb 2026) - Near real-time vs batch monitoring trade-offs
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**Confidence:** Verified *(Verified MCP 2026-04)* - Tittel oppdatert til å inkludere "in Foundry Models". Near real-time pattern: publiser logs til message bus + Azure Stream Analytics for windowed operations. Gateway fordeler: full klient-IP, Entra ID identitet, chargeback-løsning, input/output-logging.
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### Confidence per seksjon
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@ -549,4 +545,4 @@ Real-Time Dashboard er IKKE erstatning for data warehouse. Bruk for operational
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**MCP calls:** 6 (3 × search, 2 × fetch, 1 × code search)
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**Unique sources:** 8 Microsoft Learn URLs
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**Last verified:** 2026-02-05
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**Last verified:** 2026-04
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