Azure Beginner to Hero

Retirement of DCsv2-series Azure Virtual Machines The DCsv2-series Azure Virtual Machines are scheduled for retirement on June 30, 2026 [1][2][3]. This means that after this date, these virtual machines will no longer be available for use. Here is a summary of key points related to this retirement: Key Points Retirement Date : June 30, 2026[1][2][3]. Impact : This retirement affects anyone using DCsv2-series virtual machines, including those on Azure Kubernetes Service and Azure Virtual Machine Scale Sets[1]. Migration Recommendation : Users are advised to migrate their workloads to DCdsv3-series virtual machines or consider alternatives like DCasv5/DCadsv5/ECasv5/ECadsv5 VMs, DCasv6/ECasv6 series , or Azure Confidential Container Instances (C-ACI) [1]. New Sign-Ups : Starting from July 1, 2025 , no new subscriptions will be allowed for DCsv2-series virtual machines due to capacity restrictions[1]. Ongoing Support Microsoft will continue to provide support, including SLA as...

Azure Site Recovery (ASR) has officially launched general availability support for Azure Trusted Launch virtual machines (VMs) running Linux operating systems. This means that Azure customers can now use ASR to provide disaster recovery and replication capabilities for Linux VMs secured with Trusted Launch, a feature that enhances VM security through mechanisms like Secure Boot and measured boot. Key details include: Supported Linux distributions: ASR supports Trusted Launch VMs running major Linux distributions such as Ubuntu (18.04, 20.04, 22.04, 24.04), Red Hat Enterprise Linux (various 8.x and 9.x versions), SUSE (15 SP3 to SP6 with specific kernel versions), Alma Linux (8.10, 9.4, 9.5), and Debian 12[1]. Support status: Previously, ASR support for Trusted Launch was generally available for Windows VMs, while Linux support was only in private preview. As of now, Linux Trusted Launch VM support has transitioned out of preview to general availability, providing full disaster r...

Overview of Azure Command Launcher for Java The Azure Command Launcher for Java, referred to as jaz , is a new utility designed to simplify running Java applications on Azure. It aims to optimize Java Virtual Machine (JVM) configurations specifically for cloud environments, ensuring better resource utilization and efficiency from the outset[1][2]. Key Features and Benefits Optimized JVM Configurations : jaz provides default configurations tailored for Azure deployments, addressing the common issue of suboptimal resource usage when relying on default JVM settings[2]. Advanced JVM Features : It leverages features like AppCDS and plans to support Project Leyden in the future, enhancing performance and startup times for Java applications[2]. Support for Containers and VMs : Designed to work seamlessly with containers and virtual machines, making it suitable for modern cloud-native applications[2]. Current Status As of June 2025, the Azure Command Launcher for Java is in a private...

Azure Virtual Network Manager in Azure China Azure Virtual Network Manager has reached general availability in Azure China, marking a significant milestone in enhancing network connectivity and management capabilities for customers in the region. This update was announced on June 10, 2025, and it includes features related to connectivity, security administration, and routing configuration[1]. Key Features and Benefits Connectivity Management : The Azure Virtual Network Manager allows for centralized management of network architecture, simplifying the organization and administration of virtual networks. Security Administration : Enhanced security features help protect network resources by providing better control over network security policies. Routing Configuration : Customers can configure routing settings more efficiently, ensuring optimal network performance and reliability. Availability and Impact This general availability in Azure China aligns with Microsoft's broade...

Overview of Persistent Graph Semantics in Azure Data Explorer Azure Data Explorer has introduced a new feature in public preview: Persistent Graph Semantics, also known as Persistent Graphs. This feature allows users to work with durable graph data structures that persist beyond individual queries, enhancing performance and efficiency in complex relationship-based analyses[1][3]. Key Features of Persistent Graphs Graph Models : These are stored representations of labeled property graphs (LPGs) that consist of nodes (vertices) and edges (relationships), both of which can have properties. Unlike transient graphs, graph models do not require rebuilding for each query, significantly improving performance[3]. Metadata Persistence : Graph specifications are stored in database metadata, ensuring durability and reusability[3]. Materialized Snapshots : These eliminate the need to rebuild graphs for each query, dramatically improving query performance[3]. Schema Definition : Graph models...

ใน EP นี้ของ Azure Talk – 3 Minutes คุณจะได้เรียนรู้ว่า การย้ายระบบองค์กรขึ้น Azure ให้สำเร็จ ไม่ใช่แค่ "โยน VM ขึ้นคลาวด์" เท่านั้น! Microsoft Cloud Adoption Framework (CAF) แนะนำแนวทาง “Adopt” ด้วย 3 เสาหลัก: Migrate ระบบแบบเดิม (Lift-and-Shift) Modernize ปรับโครงสร้างให้คลาวด์เนทีฟ Innovate สร้างแอป/บริการใหม่โดยใช้ AI, Serverless หรือ Analytics คุณจะได้เข้าใจ: ขั้นตอน 4 Step ใน CAF Migrate การเลือกใช้ทั้ง 3 แนวทางควบคู่ ตัวอย่างจริงที่ช่วยให้ระบบเสถียร ปลอดภัย และพัฒนาต่อได้เร็วขึ้น เหมาะกับทั้ง IT Admin, Architect, และคนวางแผนระบบระดับองค์กร

Azure Database for PostgreSQL - Azure Data Factory Managed Identity The Azure Database for PostgreSQL now supports managed identity for integration with Azure Data Factory , enhancing secure data integration processes. This integration leverages managed identities to authenticate connections, eliminating the need for hardcoded credentials. Key Features of Managed Identity Integration Authentication Methods : Azure Database for PostgreSQL flexible server supports various authentication methods for Azure Data Factory, including basic authentication, service principal, system-assigned managed identity, and user-assigned managed identity[2]. Managed Identity Benefits : Managed identities are automatically managed by Azure, reducing the complexity of credential management. They allow applications to access resources without explicitly handling credentials[1][4]. Azure Data Factory Capabilities : Azure Data Factory is a fully managed service designed for data integration tasks like E...

PostgreSQL 17 In-Place Upgrade on Azure Database for PostgreSQL Flexible Server Overview Azure Database for PostgreSQL flexible server now supports an in-place major version upgrade to PostgreSQL 17, currently available in public preview. This upgrade allows users to move from PostgreSQL versions 14, 15, or 16 to PostgreSQL 17 without data migration or changes to connection strings, simplifying the process for users and applications[1][3]. Key Features of the Upgrade No Data Migration Required : The upgrade process does not require moving data, which reduces complexity and downtime[4]. No Changes to Connection Strings : Applications can continue to use existing connection strings, ensuring minimal disruption[3]. In-Place Upgrade Capability : This feature is designed to minimize user and application disruption by retaining server settings and name post-upgrade[4]. How to Upgrade Users can upgrade their PostgreSQL versions using either the Azure Portal or the Azure CLI : Azu...

Summary of Azure Update and Private Endpoint Configurations Overview of Azure Update As of June 3, 2025, Microsoft Azure has made a required role assignment for private endpoint approvals generally available in Azure Machine Learning (AzureML) workspaces and/or AI Foundry hubs with managed networks[1]. This update emphasizes the need for explicit role assignments for securing private endpoint connections. Details on Private Endpoint Configurations To configure private endpoints in Azure Machine Learning, users must follow specific steps to ensure secure connections: Role Assignment : The Azure Machine Learning workspace's managed identity must have permissions to approve Private Endpoint connections on target resources. This is typically done by assigning the Azure AI Enterprise Network Connection Approver role or a custom role with similar permissions[3]. Target Resources : The Azure AI Enterprise Network Connection Approver role covers a wide range of Azure resources, in...

Summary of Long-Term Backup Retention for Azure Database for PostgreSQL – Flexible Server Long-term backup retention for Azure Database for PostgreSQL – Flexible Server is now generally available, offering enhanced capabilities for compliance, audit readiness, and data durability. This feature is part of Azure Backup, which provides a robust solution for securing data against various threats. Key Features of Long-Term Backup Retention Retention Period : Backups can be retained for up to 10 years , addressing regulatory and compliance needs that exceed the standard 35-day operational tier backup limit[2][3]. Security and Durability : Backups are encrypted and stored in a separate security domain, protecting against ransomware attacks and accidental deletion. The service also offers immutability and soft delete protection[3]. Policy-Driven Management : Users can define custom backup policies with flexible scheduling and retention rules, allowing for granular control over backup ...

คุณรู้หรือยังว่า Windows Server หรือ SQL Server ที่คุณใช้งานอยู่... อาจหมดอายุจาก Microsoft แล้วแบบไม่รู้ตัว! ใน EP นี้ของ Azure Talk – 3 Minutes เราจะพาคุณเข้าใจ Product Lifecycle ของ Microsoft – Mainstream Support คืออะไร? – Extended Support ต่างยังไง? – ทำไม End of Support ถึงอันตรายต่อองค์กร? – และถ้าระบบคุณหมดอายุแล้ว ควรทำอย่างไร? 📍 ฟังจบใน 3 นาที คุณจะรู้ว่า... ระบบที่คุณดูแล ควรอัปเกรดหรือย้ายขึ้น Azure ด่วนแค่ไหน