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docs(architect): weekly KB update — 52 files refreshed (2026-04)

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Key content changes:
- MLOps: MLflow 3 scorers expanded (RetrievalRelevance, Fluency, multi-turn judges)
- MLflow 3 A/B eval: mirror_traffic GA confirmed, new scorer catalog
- CI/CD: OIDC auth replaces deprecated --sdk-auth (Azure ML GitHub Actions)
- Agent framework A2A: updated SDK patterns (A2ACardResolver, BearerAuth)
- AG-UI backend tool rendering: accurate TOOL_CALL_* event shapes
- Computer Use agents: US region requirement, credentials patterns
- Purview governance: bulk term edit, expire/delete workflows
- CAF AI Secure: 3-phase structure confirmed current
- Copilot Studio: Claude Sonnet 4.5/4.6 GA, new orchestration controls
- M365 manifest: v1.26 GA (April 2026), copilotAgents node
- Power Platform: agent flow capacity enforcement corrected
- Azure Monitor: Simple Log Alerts GA, AMBA for policy-based alerting
- Security Copilot: SCU capacity model (400 SCU/1000 users)
- EU Data Boundary: all EU + EFTA countries confirmed
- gateway-multi-backend: added 4th topology, subscription-level quota note

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-04-10 11:31:11 +02:00
commit be4925a8ff
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12
skills/ms-ai-engineering/references/mlops-genaiops/infrastructure-as-code-mlops.md
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@ -1,6 +1,6 @@
# Infrastructure as Code for MLOps
**Dato:** 2026-02-04
**Dato:** 2026-04
**Kategori:** MLOps & GenAIOps
**Forfatter:** Cosmo Skyberg, Senior Microsoft AI Solution Architect
@ -572,7 +572,7 @@ terraform init && terraform apply
- Scan IaC repos for secrets (Microsoft Defender for Cloud: IaC vulnerability scanning)
- Immutable infrastructure preferred for business-critical workloads
**AI opportunity** (2026): AI tools (GitHub Copilot) can review IaC templates, identify misconfigurations, suggest security improvements, and generate templates from natural language.
**AI opportunity** (Verified MCP 2026-04): AI tools (GitHub Copilot) can review IaC templates for misconfigurations, suggest secure alternatives, and generate templates from natural language. Generative AI can analyze IaC templates and architectural diagrams, generate threat models, and recommend IaC updates from pull requests. Agent-based solutions can infer infrastructure needs from code and generate PRs with recommended IaC changes.
**MLOps v2 infrastructure**: `tf-gha-deploy-infra.yml` workflow in `Azure/mlops-v2-gha-demo` deploys full Azure ML infrastructure via Terraform + GitHub Actions.
@ -864,7 +864,7 @@ terraform {
## Kilder og verifisering
Denne kunnskapsreferansen er basert på følgende verifiserte kilder (hentet 2026-02-04):
Denne kunnskapsreferansen er basert på følgende verifiserte kilder (hentet 2026-04):
1. **Microsoft Learn - What is Infrastructure as Code (IaC)?**
- URL: https://learn.microsoft.com/devops/deliver/what-is-infrastructure-as-code
@ -921,7 +921,7 @@ Denne kunnskapsreferansen er basert på følgende verifiserte kilder (hentet 202
- **microsoft_docs_fetch calls:** 3
- **microsoft_code_sample_search calls:** 1
- **Total sources:** 10
- **Dato for research:** 2026-02-04
- **Dato for research:** 2026-04
**Confidence levels:**
- VERY_HIGH: Offisiell Microsoft-dokumentasjon, verifiserte code samples
@ -932,5 +932,5 @@ Alle kodeeksempler er hentet fra official Microsoft Learn eller GitHub repos und
---
**Oppdatert:** 2026-02-04
**Neste review:** 2026-05-04 (eller når Azure ML API major version oppdateres)
**Oppdatert:** 2026-04
**Neste review:** 2026-07-04 (eller når Azure ML API major version oppdateres)