Announcing new security, maintenance and analytics features for PostgreSQL at Microsoft Build 2026
At Microsoft Build 2026, we’re announcing a major wave of PostgreSQL innovation across Azure. Alongside the public preview of Azure HorizonDB, we’re delivering a broad set of enhancements for our fully managed open-source PostgreSQL service: Azure Database for PostgreSQL flexible server. These updates span performance, analytics, security, operations, resilience and migration - helping you build faster, operate with more control, secure your workloads, and modernize with confidence. Here’s a quick tour of the top flexible server announcements at Build 2026. Feature Highlights V6 SKU with local SSD storage (NVMe) pg_duckdb Extension pg_ivm Extension Defender Security assessments temporal_tables Extension Cross-tenant CMK Automatic Entra token refresh libraries New Powershell module: Az.PostgreSQLFlexibleServer More control over planned maintenance Pre-Upgrade validation checks New Built-in Grafana dashboards Chaos Studio supports Azure Database for PostgreSQL AI-assisted Oracle to PostgreSQL migration Migration Service for Azure Database for PostgreSQL improvements (EDB, AlloyDB) Performance, Scale & Analytics V6 SKU with local SSD storage (NVMe) Generally Available by the end of June V6 Compute SKUs are built to handle your largest workloads, delivering high performance, massive scale, and better price performance. Powered by 5th Gen Intel® Xeon® processor and AMD's fourth Generation EPYC™ 9004 processors you can scale up to 192 vCores and 1.8 TiB of memory. With NVMe-backed local SSD storage and support for high-performance storage options such as Premium SSD v2, you can achieve high IOPS and throughput for demanding, IO-intensive PostgreSQL workloads. The Intel & AMD v6 SKUs with local SSD (NVMe) will be Generally Available by the end of June. Learn more: Compute options in Azure Database for PostgreSQL. pg_duckdb Extension Generally Available The pg_duckdb extension enables you to accelerate high-performance analytics and data-intensive applications with DuckDB’s SQL engine running inside your Postgres server. We’re pleased to announce pg_duckdb is now generally available in Azure Database for PostgreSQL. The latest version builds on the preview with the latest DuckDB engine improvements and optimized performance. This version adds vectorized execution for faster analytical queries, delivering significant improvements in aggregation performance, along with new support for writing to Azure Blob Storage and querying Parquet data directly from PostgreSQL. These capabilities enable high-performance analytics on your external data and simplify data processing workflows. Learn more: pg_duckdb. pg_ivm Extension Generally Available Materialized views are a useful way to optimize performance for queries that run regularly, but if underlying data becomes stale the result set needs to be recomputed. With the pg_ivm extension you can automatically maintain materialized views as the underlying data changes. This is particularly valuable for large datasets with small incremental changes that need real-time freshness, like dashboards, catalog analytics and SaaS usage reporting. We are pleased to announce the pg_ivm extension is now generally available in Azure Database for PostgreSQL. Learn more: pg_ivm. Security, Auditing & Identity Defender security assessments Preview Microsoft Defender Security Assessments for Azure Database for PostgreSQL enables continuous evaluation of your database security posture, helping identify vulnerabilities and misconfigurations across server and database configurations. Previously limited to reactive threat detection, in the latest preview release, Defender now provides proactive, risk-based insights through assessments tailored to PostgreSQL-specific best practices, delivering more relevant and actionable guidance. This helps you strengthen your security baseline, prioritize remediation, and align with best practices and compliance requirements. Learn more: https://aka.ms/Defender-Assessments-for-PG-Preview temporal_tables Extension Generally Available We’ve had many customer requests to support the temporal_tables extension, which provides built-in support for tracking and querying historical changes to data over time. Temporal tables are now generally available in Azure Database for PostgreSQL. With this extension enabled you can easily perform time-based queries, audit data changes, and maintain historical records without building custom tracking logic, simplifying application development and compliance scenarios. Learn more: temporal_tables Cross-tenant CMK Preview Azure Database for PostgreSQL now supports cross-tenant customer-managed keys (CMK) in public preview, allowing you to encrypt your data at rest using an Azure Key Vault key that resides in a separate Microsoft Entra tenant from the database service. This feature is designed for SaaS providers and enterprises that need to maintain strict separation of duties and ownership of encryption keys, enabling you to retain full control over key lifecycle management while PostgreSQL runs in a service provider’s tenant. Learn more: Data encryption at rest in Azure Database for PostgreSQL Automatic Entra token refresh libraries Preview We’re making it easier to use Entra ID authentication with Azure Database for PostgreSQL throughout the application stack by introducing new token refresh libraries for .NET, JavaScript, and Python. With Entra ID, access tokens are short-lived which can make managing their lifecycle complex in real-world applications. Developers need to be aware of token refresh and build additional handling around token expiration, connection retry, and session continuity. These new libraries remove that friction. By handling Entra token refresh seamlessly in the background, they allow applications to stay connected without interruption and with no custom logic required. The result is a simpler development experience and more resilient applications, especially for long-running or connection-heavy workloads. Across languages, the libraries provide a consistent and streamlined way to adopt secure, passwordless authentication, helping teams focus more on building their applications and less on managing authentication. Learn more: .NET, JavaScript, and Python. Operations, Maintenance & Monitoring New Powershell module: Az.PostgreSQLFlexibleServer Generally Available We’re excited to introduce the newly renamed Az.PostgreSQLFlexibleServer PowerShell module, delivering a streamlined experience for managing Azure Database for PostgreSQL with PowerShell. Building on the capabilities of the previous Az.PostgreSql module, the updated module aligns with the new features in the 2026-01-01 preview REST API. This module brings support for PostgreSQL 18, elastic clusters for scalable workloads and a range of enhancements designed to simplify management and improve performance. Whether you're provisioning new deployments or managing complex environments, this module ensures you can take full advantage of the latest platform capabilities directly from PowerShell. To learn more, visit our official documentation on PowerShell: Az.PostgreSql Module | Microsoft Learn More control over planned maintenance Generally Available We’ve seen many requests to provide more control when a maintenance update is applied to Azure Database for PostgreSQL. Sometimes when a critical workload is running you want to apply the maintenance when you’re ready. Announcing general availability this week, we’re building on the existing System and Custom maintenance window options and adding new self-service maintenance capabilities to the Azure portal. You can now reschedule upcoming maintenance updates for up to two weeks and apply maintenance on demand at a time that suits you. You can also view scheduled maintenance and review your server’s maintenance history after updates are complete. These options help you better align maintenance with your business schedules, reduce disruption during critical workload periods, and minimize the need for support-driven deferral requests. CLI and API support are coming soon. Learn more: https://aka.ms/azure-postgres-reschedule-maintenance Pre-Upgrade validation checks Preview Major version upgrades are critical for staying current with PostgreSQL features, security updates, and performance improvements, but you often discover blockers only after starting the upgrade workflow. Pre-Upgrade Validation Checks lets you validate upgrade readiness before initiating the actual upgrade by running Azure-specific upgrade checks and PostgreSQL pg_upgrade --check validations independently. The shift is simple: you can identify and fix upgrade blockers before the upgrade window begins. The feature surfaces actionable issues across configurations, extensions, dependencies, replication slots, event triggers, and other upgrade-sensitive objects. You can fix blockers, re-run validation until all checks pass, and proceed with the upgrade with greater predictability. Learn more: https://aka.ms/pg-flex-upgrade-checks New Built-in Grafana dashboards Generally Available boards — no setup, no extra cost, and no separate service to manage. Grafana dashboards are now built directly into the Azure portal for Azure Database for PostgreSQL - no setup, no extra cost, and no separate service to manage. You can open your PostgreSQL resource in the portal and immediately access prebuilt dashboards for key health and performance signals such as CPU, memory, storage, IOPS, connections, transactions, and availability. The key value is metrics + logs in one place. You can quickly correlate performance spikes with PostgreSQL logs, understand what changed, and troubleshoot faster using the familiar Grafana experience. Dashboards can also be customized, saved to your subscription, and shared across teams for ongoing operations. Learn more: https://aka.ms/azure-postgres-dashboards-grafana Resilience & Business Continuity Chaos Studio supports Azure Database for PostgreSQL Preview No matter how much you prepare, you only really know how good your database disaster recovery plan is when something breaks. With Chaos Studio support for Azure Database for PostgreSQL, you can simulate zone-down scenarios on PostgreSQL HA-enabled instances and validate the resilience of your mission-critical workloads. With Chaos Studio integration, you can proactively test failover behavior and gain confidence in how your applications respond to real-world zonal failures. This feature is currently available through a gated private preview. To get started, submit your subscription details using the form. Once reviewed, our team will enable the feature for your subscription, with guidance to help you begin testing. Getting started is simple: Create a Chaos Studio workspace via the Chaos Studio portal and configure your subscription, resource group, and region. Define the scope and assign the required managed identity and permissions. Review and verify your workspace setup. Browse available scenarios and select the PostgreSQL zone-down scenario. Configure the test (name, duration), then run it from My Library to begin validating failover behavior. With just a few steps, you’ll be able to simulate real-world failure conditions and gain confidence in your application’s resilience. To get started, please submit your details using this link: Private Preview Support for Chaos Studio Migration & Modernization AI-assisted Oracle to PostgreSQL migration Generally Available AI-assisted migration tooling has dramatically lowered the bar for moving between different databases and is changing the way people look at the return on investment for migration. The VS Code PostgreSQL extension comes with AI-Assisted migration tooling which converts Oracle schema and application code to Azure Database for PostgreSQL. This tooling uses GitHub Copilot, Microsoft Foundry, and custom Language Model tools to convert Oracle schema, database code and client applications into the PostgreSQL equivalents, and validates every change against a running flexible server instance. Learn more: Schema conversion, App conversion. Migration Service for Azure Database for PostgreSQL improvements (EDB, AlloyDB) Generally Available We’ve added AlloyDB and EDB Extended Server as new sources for migrating to PostgreSQL in the Azure Database for PostgreSQL Migration Service, with support for both online and offline migration support. Learn more: Migrate from AlloyDB, Migrate from EDB. Looking ahead That wraps up the Build 2026 announcements for Azure Database for PostgreSQL flexible server. There are also many great PostgreSQL technical sessions at Build this week, covering cloud-native app and AI development. To find out more, here's a link to the Build session catalog for PostgreSQL sessions: https://aka.ms/Postgres-on-Azure_Build-2026. We'll continue to build out our roadmap over the coming months to deliver on your asks to improve the performance, security and stability of your PostgreSQL workloads. Check the Microsoft Blog for PostgreSQL for a regular monthly recap where we share the latest enhancements and product updates.
Ho w to correctly measure Bytes Received/sec &&&&& Bytes Sent/sec
I would like to correctly measure through log analytic and then in Grafana network traffic generated for one or more VMs. For test VMs I have enable Data collection rule and enabled collecting data every 60s for network Interface "Bytes Received/sec" and "Bytes Sent/sec". Inside metric is also enabled. Query that I use in log analytic is : Perf | where TimeGenerated between (datetime(2024-03-19) .. datetime(2024-03-20)) | where Computer == "***********" | where ObjectName == "Network Interface" and CounterName == "Bytes Received/sec" and InstanceName == "Microsoft Hyper-V Network Adapter _2" | summarize BytsSent = sum(CounterValue)/1073741824 by bin(TimeGenerated, 24h),CounterName InsightsMetrics | where TimeGenerated between (datetime(2024-03-19) .. datetime(2024-03-20)) | where Origin == "vm.azm.ms" | where Namespace == "Network" and Name == "ReadBytesPerSecond" | where Computer == "******" | extend NetworkInterface=tostring(todynamic(Tags)["vm.azm.ms/networkDeviceId"]) | summarize AggregatedValue = sum(Val) by bin(TimeGenerated, 1d), Computer, _ResourceId, NetworkInterface Results for Perf is 0,32339 GB/day and for InsightsMetrics is 14.7931 GB/day. If I go to network interface and select metric data for network interface is data that I get return from query in log analytic for Metric same/correct . I have now shorten sample period of data collection rule to 15s, I hope that this will ,give more accurate results. I’m I doing something wrong or I collect data the wrong way. I don’t want to activate inside metric for every VM, I want to activate any data that I’m interesting.February 2026 Recap: Azure Database for PostgreSQL
Hello Azure Community, We’re excited to share the February 2026 recap for Azure Database for PostgreSQL, featuring a set of updates focused on speed, simplicity, and better visibility. From Terraform support for Elastic Clusters and a refreshed VM SKU selection experience in the Azure portal to built‑in Grafana dashboards, these improvements make it easier to build, operate, and scale PostgreSQL on Azure. This recap also includes practical GIN index tuning guidance, enhancements to the PostgreSQL VS Code extension, and improved connectivity for azure_pg_admin users. Features Terraform support for Elastic Clusters - Generally Available Dashboards with Grafana - Generally Available Easier way to choose VM SKUs on portal – Generally Available What’s New in the PostgreSQL VS Code Extension Priority Connectivity to azure_pg_admin users Guide on 'gin_pending_list_limit' indexes Terraform support for Elastic Clusters Terraform now supports provisioning and managing Azure Database for PostgreSQL Elastic Clusters, enabling customers to define and operate elastic clusters using infrastructure‑as‑code workflows. With this support, it is now easier to create, scale, and manage multi‑node PostgreSQL clusters through Terraform, making it easier to automate deployments, replicate environments, and integrate elastic clusters into CI/CD pipelines. This improves operational consistency and simplifies management for horizontally scalable PostgreSQL workloads. Learn more about building and scaling with Azure Database for PostgreSQL elastic clusters. Dashboards with Grafana — Now Built-In Grafana dashboards are now natively integrated into the Azure Portal for Azure Database for PostgreSQL. This removes the need to deploy or manage a separate Grafana instance. With just a few clicks, you can visualize key metrics and logs side by side, correlate events by timestamp, and gain deep insights into performance, availability, and query behavior all in one place. Whether you're troubleshooting a spike, monitoring trends, or sharing insights with your team, this built-in experience simplifies day-to-day observability with no added cost or complexity. Try it under Azure Portal > Dashboards with Grafana in your PostgreSQL server view. For more details, see the blog post: Dashboards with Grafana — Now in Azure Portal for PostgreSQL. Easier way to choose VM SKUs on portal We’ve improved the VM SKU selection experience in the Azure portal to make it easier to find and compare the right compute options for your PostgreSQL workload. The updated experience organizes SKUs in a clearer, more scannable view, helping you quickly compare key attributes like vCores and memory without extra clicks. This streamlined approach reduces guesswork and makes selecting the right SKU faster and more intuitive. What’s New in the PostgreSQL VS Code Extension The VS Code extension for PostgreSQL helps developers and database administrators work with PostgreSQL directly from VS Code. It provides capabilities for querying, schema exploration, diagnostics, and Azure PostgreSQL management allowing users to stay within their editor while building and troubleshooting. This release focuses on improving developer productivity and diagnostics. It introduces new visualization capabilities, Copilot-powered experiences, enhanced schema navigation, and deeper Azure PostgreSQL management directly from VS Code. New Features & Enhancements Query Plan Visualization: Graphical execution plans can now be viewed directly in the editor, making it easier to diagnose slow queries without leaving VS Code. AGE Graph Rendering: Support is now available for automatically rendering graph visualizations from Cypher queries, improving the experience of working with graph data in PostgreSQL. Object Explorer Search: A new graphical search experience in Object Explorer allows users to quickly find tables, views, functions, and other objects across large schemas, addressing one of the highest-rated user feedback requests. Azure PostgreSQL Backup Management: Users can now manage Azure Database for PostgreSQL backups directly from the Server Dashboard, including listing backups and configuring retention policies. Server Logs Dashboard: A new Server Dashboard view surfaces Azure Database for PostgreSQL server logs and retention settings for faster diagnostics. Logs can be opened directly in VS Code and analyzed using the built-in GitHub Copilot integration. This release also includes several reliability improvements and bug fixes, including resolving connection pool exhaustion issues, fixing Docker container creation failures when no password is provided, and improving stability around connection profiles and schema-related operations. Priority Connectivity to azure_pg_admin Users Members of the azure_pg_admin role can now use connections from the pg_use_reserved_connections pool. This ensures that an admin always has at least one available connection, even if all standard client connections from the server connection pool are in use. By making sure admin users can log in when the client connection pool is full, this change prevents lockout situations and lets admins handle emergencies without competing for available open connection slots. Guide on 'gin_pending_list_limit' indexes Struggling with slow GIN index inserts in PostgreSQL? This post dives into the often-overlooked gin_pending_list_limit parameter and how it directly impacts insert performance. Learn how GIN’s pending list works, why the right limit matters, and practical guidance on tuning it to strike the perfect balance between write performance and index maintenance overhead. For a deeper dive into gin_pending_list_limit and tuning guidance, see the full blog here. Learning Bytes Create Azure Database for PostgreSQL elastic clusters with terraform: Elastic clusters in Azure Database for PostgreSQL let you scale PostgreSQL horizontally using a managed, multi‑node architecture. With Elastic cluster now generally available, you can provision and manage elastic clusters using infrastructure‑as‑code, making it easier to automate deployments, standardize environments, and integrate PostgreSQL into CI/CD workflows. Elastic clusters are a good fit when you need: Horizontal scale for large or fast‑growing PostgreSQL workloads Multi‑tenant applications or sharded data models Repeatable and automated deployments across environments The following example shows a basic Terraform configuration to create an Azure Database for PostgreSQL flexible server configured as an elastic cluster. resource "azurerm_postgresql_flexible_server" "elastic_cluster" { name = "pg-elastic-cluster" resource_group_name = <rg-name> location = <region> administrator_login = var.admin_username administrator_password = var.admin_password version = "17" sku_name = "GP_Standard_D4ds_v5" storage_mb = 131072 cluster { size = 3 } } Conclusion That’s a wrap for the February 2026 Azure Database for PostgreSQL recap. We’re continuing to focus on making PostgreSQL on Azure easier to build, operate, and scale whether that’s through better automation with Terraform, improved observability, or a smoother day‑to‑day developer and admin experience. Your feedback is important to us, have suggestions, ideas, or questions? We’d love to hear from you: https://aka.ms/pgfeedback.
Azure Resource Graph is now supported in Grafana's Azure Monitor data source
Azure Resource Graph (ARG) is a service in Azure that is designed to extend Azure Resource Management by providing efficient and performant resource exploration, with the ability to query at scale across a given set of subscriptions so that you can effectively govern your environment. By querying ARG, you can query resources with complex filtering, iteratively explore resources based on governance requirements, and assess the impact of applying policies in a vast cloud environment. With Grafana 8.0, we are happy to announce that Azure monitor data source now supports querying Azure resource graph. There is no extra configuration needed to use this service. Queries are written in the Kusto Query Language and Azure Resource Graph query results are formatted as table data. If your credentials give you access to multiple subscriptions, then you can select them before entering the query.Managing your data with Azure Managed Gafana integrations with Azure Monitor
Along with the announcement of Azure Managed Grafana, learn about new Grafana integrations with #Azure Monitor, including the ability to pin Azure Monitor visualizations from Azure Portal to Grafana dashboards and new out-of-the-box Azure Monitor dashboards! https://techcommunity.microsoft.com/t5/azure-observability-blog/enabling-full-stack-observability-with-azure-monitor-and-grafana/ba-p/3287145 How have you been using Azure Managed Grafana to manage your app data and infrastructure? How do you plan to use this new integration?Managed Identity support for Azure hosted Grafana and Azure Monitor data source
Customers who host Grafana in Azure (e.g., App Service, Azure Virtual Machines) and have managed identity enabled on their VM, will now be able to avail of managed identity based in Grafana. This will simplify the data source configuration and will allow Azure data sources (e.g., Azure Monitor) to be authenticated in Azure services via the managed identity without having to manually configure service identity via App Registration for each data source. To enable this, you will need to set the managed_identity_enabled = true in the grafana server config.
