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cabarker explains Azure Container Registry's new Transactions and Data Transfer metrics, which expose registry operations, response types, regional activity, and outbound bytes. The article covers how sharding supports high-volume telemetry while preserving a single registry view, plus practical ways to investigate throttling, retry loops, and changing image traffic.

Madhura Amlekar explains how to assess Azure managed services before refreshing virtual machines. The guidance covers component-by-component migration, application compatibility, deployment and recovery checks, shared security responsibilities, and reservation commitments, while recognizing that some workloads still need VM-level control and that PaaS is not always cheaper.

isaiahhoyer describes using Microsoft Discovery agents to adapt Microsoft Premonition biological monitoring systems for citrus pests. The case study covers grounding agents in engineering documents, designing field experiments, preparing permit requests, and generating synthetic wingbeat data for preliminary edge classifiers, with scientific review and human oversight throughout.

Shivani_Tripathi explains how Private Network Gateway connects Azure Databricks serverless workloads to private resources through one managed, encrypted connection. The overview covers subnet delegation, workspace connectivity configuration, and routing options, while showing how existing Azure network controls continue to govern access and outbound traffic.

MinseokSong explains how production failures shaped translation review in Co-op Translator. Rather than relying on quality scores or model verdicts alone, the project checks document structure, preserves human edits where possible, and records unresolved failures. The approach gives reviewers concrete checks while leaving meaning, terminology, and readability to human review.

Naveen_Nooka introduces scheduled control plane backups for Azure Local with disconnected operations in release 2609. Operators can configure recurring backups through PowerShell, choose default or named backup configurations, and manage schedules while retaining on-demand backups for additional recovery points.

PreethiThippeswamy introduces advanced capacity insights in Azure Storage Discovery, now in preview at no additional cost for Standard plan users. The new reports help storage administrators investigate inactive data, storage composition, object-size distributions, and retention costs, then drill down to the accounts, containers, and prefixes behind those patterns.

Sunip explains an enterprise Azure networking pattern that separates “where workloads live” from “what needs to be reachable,” using enterprise-routable prefixes for shared services while keeping workload VNets non-advertised and exposing only selected endpoints through a routable front door.

madhurinrao explains ABFS Vectored Read for Azure Data Lake Storage and how it reduces request overhead for selective Parquet reads by coordinating noncontiguous byte ranges through the ABFS driver, enabling compatible Spark workloads to adopt the optimization via configuration.

mukta introduces Enhanced Feature Flags (public preview) in Azure App Configuration, explaining how a dedicated resource model and API surface improve governance of feature rollouts. The post focuses on separating feature-flag permissions from general configuration, adding server-side validation, and keeping existing key-value feature flags supported.

poorvinarang explains how Azure Linux evolved from CBL-Mariner into Azure Linux 4.0, and what Microsoft changed to make it a supported, general-purpose Linux option for Azure VMs, VM Scale Sets, and container images, with a focus on upstream alignment, lifecycle predictability, and security servicing.

Wiliam_Rosa breaks down Azure Databricks multi-table, multi-statement transactions (GA as of Oct 16, 2026), explaining the two transaction modes, how conflict detection works, and why external clients need explicit retry logic to be reliable under real concurrency.

Mahesh Sundaram introduces a preview feature for Azure Monitor Private Link that compresses the private IP footprint of Data Collection Endpoints (DCEs). The post explains the scaling problem in large hub-and-spoke networks, how regional endpoint grouping reduces IP usage, what stays unchanged in the Azure Monitor model, and how to prepare for the controlled preview.

Hugo Meiland benchmarks Ansys CFX CFD workloads across Azure HBv5, HBv4, HX, and Fams_v7 VM families, showing how mesh size changes the best choice when you measure cost per completed simulation instead of hourly VM price.

Ben Sickle outlines Microsoft’s announcements at NVIDIA GTC Berlin 2026 focused on running AI across Azure and customer-controlled environments, including Azure Local sovereign deployments, Foundry Local for on-prem model inference, confidential VMs, open-model endpoints for NVIDIA Nemotron via Fireworks AI on Azure, and GPU-accelerated analytics in Microsoft Fabric.

DivSwa explains how to move off Microsoft Foundry workflows (retiring Dec 1, 2026) by orchestrating Foundry Prompt Agents and Hosted Agents inside Azure Logic Apps, combining event-driven triggers and connectors with deterministic workflow steps around agent calls.

Johnson Shi explains how AKS GPU memory profiling helps you move from “GPU memory pressure” alerts to the exact functions responsible for allocations, using eBPF-based tracing and Grafana flame graphs so you can right-size GPU memory and validate fixes with repeatable tests.

naafiahsadique introduces Azure Copilot for Azure Local, an AI-powered, agentic troubleshooting experience aimed at helping operators investigate and resolve issues across distributed Azure Local infrastructure using natural-language questions and guided, multi-step diagnostics.

jeburke announces general availability of two new Azure Container Registry platform metrics—Data Transfer and Transactions—and explains how to use Azure Monitor and the integrated Grafana dashboard to break down registry traffic by API, region, and response type to investigate throttling, failures, and outbound bandwidth changes.

alyssaschimm announces the GA of advanced platform metrics in Azure Monitor, starting with Azure Storage. The update adds container-level metrics (capacity and blob count), shows where to enable and query them in the Azure portal and Metrics Explorer, and outlines pricing plus upcoming expansion to more clouds and resource providers.

sonjagu rounds up the October updates for Azure SRE Agent, including new security and data residency guidance, enterprise deployment resources, GitHub Copilot Canvas collaboration, and new extension patterns like private Splunk MCP samples, Azure DevOps repo-backed plugin distribution, and ServiceNow response plans.

Stuart Russell outlines new and upcoming controls for Microsoft Sovereign Public Cloud and how they map to real Azure workload stages (data, indexing, inference, telemetry). The post covers Sovereign Control Panel, operator-access evidence features, key custody options with Managed HSM, confidential computing, and updated Sovereign Landing Zone implementations with Bicep and Terraform.

insagiv outlines how Foundry Local (GA on Azure Local) targets “sovereign AI” scenarios by running supported models in customer-controlled environments, including disconnected setups. The post covers local inference, model management, OpenAI-compatible APIs, retrieval with citations, early agent/connector capabilities via MCP, and how GitHub Enterprise Local supports SDLC sovereignty.

sushil_jarwal announces GitHub Enterprise Local and explains how it brings GitHub Enterprise Server-style source control and workflows to customer-controlled Azure Local environments. The post highlights a guided Azure deployment flow using Workload Orchestration, storing deployment secrets in Azure Key Vault, and AI options ranging from GitHub Copilot (connected) to Foundry Local models (restricted/disconnected).

meenagowdar outlines new capabilities for Microsoft Sovereign Private Cloud built on Azure Local, including Foundry Local for running AI models on-premises, options for connected vs disconnected operations, confidential VMs for sensitive workloads, and GitHub Enterprise Local to keep repos and CI/CD inside a sovereign boundary.

Bruno Borges outlines Microsoft’s Java support milestones through 2027 and what they mean for teams running Java on Azure. It highlights end-of-support timelines for Java versions on Azure App Service and Azure Functions, and points to tooling (Modernize CLI) to help plan and execute upgrades to newer Java releases.

Krishnaprasad Hande explains a reference architecture for running sensitive AI inference on shared Azure GPU capacity using Azure Confidential Computing, NVIDIA H100 confidential GPUs, and Protopia’s Stained Glass Transform, with attestation and key-release controls to reduce data exposure across the inference path.

ayeshakhan announces general availability of Metrics usage insights for Azure Monitor workspace, a set of dashboards that help teams understand what’s driving metrics ingestion (time series and events), spot unused metrics, and investigate ingestion volume changes over time to optimize workspace usage and cost.

brethompson explains how Azure Container Registry now exposes a Data Transfer metric in Azure Monitor that attributes registry egress by operation, including previously “invisible” GetBlob downloads redirected to Azure Storage. The post also outlines the Storage Activity Platform built to ingest storage activity quickly enough for near-real-time metrics.

EldertGrootenboer explains how to bridge an on-premises JMS broker (using IBM MQ as the example) to Azure Service Bus Premium with a standalone Apache Artemis JMS bridge, including connection factory setup, Entra ID authentication, and practical guidance for handling duplicates safely.

kinfey explains how to add per-turn model routing to GitHub Copilot CLI and the VS Code Copilot extension without replacing the native Copilot experience. The post introduces Microsoft-Decision-1 in Azure AI Foundry as a fast “decision model” for structured scoring, then shows how to apply policy, privacy boundaries, and model pinning across tool continuations.

robertocarli outlines five practical scenarios where Microsoft Web IQ helps AI agents use up-to-date web evidence, so answers are sourced, current, and more reliable for real business workflows like research, customer support, shopping assistance, compliance checks, and sales preparation.

robertocarli introduces Microsoft Web IQ, an Azure-billed web search and grounding API designed for AI agents and RAG apps, and explains how it delivers fresh, citable web evidence with low latency using Bing’s web substrate, Harrier embeddings, DiskANN indexing, and structured passage-level results.

tokawa-ms reports a reproducible Windows CP932 encoding bug in Microsoft Discovery App Preview (0.15.19) where Bookshelf Ask/ask_content using the GraphRAG Zero provider returns an empty answer despite successful retrieval and logged answer generation, due to a UnicodeEncodeError and poor failure propagation.

Wiliam_Rosa explains how Azure Databricks cross-engine ABAC enforces Unity Catalog row filters, column masks, and ABAC policies for external Apache Spark reads by routing queries through a Databricks-managed serverless enforcement layer, including required metastore settings, grants, Spark configuration, known limitations, and cost tracking.

abhilashasr threat-models Azure MCP Server for AI-assisted incident response, focusing on how Entra ID, Azure RBAC, Key Vault, Policy, and monitoring controls prevent an assistant from turning diagnostics into unintended production changes. It also includes a read-only demo connecting GitHub Copilot in VS Code to Azure Monitor and Log Analytics.

RicardoDuncan rounds up the latest SQL developer tooling updates for VS Code, including new MSSQL extension features, GitHub Copilot schema-aware agent workflows, and Microsoft SQL “skills” for assessing and migrating SQL Server to Azure SQL, plus driver releases aligned with SQL Server 2025.

Rafia Aqil lays out three practical patterns for moving Azure Cosmos DB for NoSQL workloads across regions, with a clear decision framework and cutover guidance. The post includes Azure CLI commands for PITR restore and preview online container copy, plus validation steps and trade-offs around downtime, capacity, and multi-region design.

HilaryWang announces general availability of Automatic Zone Balance for Azure Virtual Machine Scale Sets, explaining how Azure continuously rebalances instances across availability zones with safeguards like create-before-delete and health checks, and how to enable it via portal, CLI, PowerShell, or REST API.

kinfey explains how to use small language models (SLMs) as typed “decision components” inside an application, then walks through a concrete pipeline using Microsoft Olive to LoRA fine-tune Qwen3.5-0.8B, export to CUDA FP16 ONNX, and validate decisions via option-letter probabilities.