Azure Blog Feed tagged posts

Securely monitoring your Azure Database for PostgreSQL Query Store

A few months ago, I shared best practices for alerting on metrics with Azure Database for PostgreSQL. Though I was able to cover how to monitor certain key metrics on Azure Database for PostgreSQL, I did not cover how to monitor and alert on the performance of queries that your application is heavily relying on. As a PostgreSQL database, from time to time you will need to investigate if there are any queries running indefinitely on a PostgreSQL database. These long running queries may interfere with the overall database performance and likely get stuck on some background process. This blog post covers how you can set up alerting on query performance related metrics using Azure Functions and Azure Key Vault.

What is Query Store?

Query Store was a feature in Azure Database for PostgreSQL ann...

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Reducing security alert fatigue using machine learning in Azure Sentinel

Last week we launched Azure Sentinel, a cloud native SIEM tool. Machine learning (ML) in Azure Sentinel is built-in right from the beginning. We have thoughtfully designed the system with ML innovations aimed to make security analysts, security data scientists, and engineers productive. The focus is to reduce alert fatigue and offer ML toolkits tailored to the security community. The three ML pillars in Azure Sentinel include Fusion, built-in ML, build your own ML.

Fusion

Alert fatigue is real. Security analysts face a huge burden of triage as they not only have to sift through a sea of alerts, but also correlate alerts from different products manually or using a traditional correlation engine.

Our Fusion technology, currently in public preview, uses state of the art scalable learning algo...

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Microsoft and NVIDIA extend video analytics to the intelligent edge

Artificial Intelligence (AI) algorithms are becoming more intelligent and sophisticated every day, allowing IoT devices like cameras to bridge the physical and digital worlds. The algorithms can trigger alerts and take actions automatically — from finding available parking spots and missing items in a retail store to detecting anomalies on solar panels or workers approaching hazardous zones.

Processing these state-of-the-art AI algorithms in a datacenter requires a stable high-bandwidth connection to deliver videos feeds to the cloud. However, these cameras are often located in remote areas with unreliable connectivity or it may not be sensible given bandwidth, security, and regulatory needs.

Microsoft and NVIDIA are partnering on a new approach for intelligent video analytics at the edg...

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Azure Machine Learning service now supports NVIDIA’s RAPIDS

Azure Machine Learning service is the first major cloud ML service to support NVIDIA’s RAPIDS, a suite of software libraries for accelerating traditional machine learning pipelines with NVIDIA GPUs.

Just as GPUs revolutionized deep learning through unprecedented training and inferencing performance, RAPIDS enables traditional machine learning practitioners to unlock game-changing performance with GPUs. With RAPIDS on Azure Machine Learning service, users can accelerate the entire machine learning pipeline, including data processing, training and inferencing, with GPUs from the NC_v3NC_v2, ND or ND_v2 families. Users can unlock performance gains of more than 20X (with 4 GPUs), slashing training times from hours to minutes and dramatically reducing time-to-insight.

The following figure co...

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Azure Data Studio: An Open Source GUI Editor for Postgres

When you are working with a database, or any other kind of software, your experience is enhanced or hindered by the tools you use to interact with it. PostgreSQL has a command line tool, psql, and it’s pretty powerful, but some people much prefer a graphical editor. Even if you typically use command line, you may want to go visual sometimes. At Microsoft we've spent many years building experiences to enhance developers' day-to-day productivity. Having choices is important. It allows you to go with the tool that works for you.

Today we're excited to announce preview support for PostgreSQL in Azure Data Studio. Azure Data Studio is a cross-platform modern editor focused on data development. It's available for Linux, MacOS, and Windows...

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Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL

We’re excited to announce a partnership with Timescale that introduces support for TimescaleDB on Azure Database for PostgreSQL for customers building IoT and time-series workloads. TimescaleDB has a proven track record of being deployed in production in a variety of industries including oil & gas, financial services, and manufacturing. The partnership reinforces our commitment to supporting the open-source community to provide our users with the most innovative technologies PostgreSQL has to offer.

TimescaleDB allows you to scale for fast ingest and complex queries while natively supporting full SQL. It leverages PostgreSQL as an essential building block, which means that users get the familiarity and reliability of PostgreSQL, along with the scalability and performance of TimescaleDB...

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Azure Container Registry virtual network and Firewall rules preview support

While Azure Container Registry (ACR) supports user and headless-service account authentication, customers have expressed their requirements for limiting public endpoint access. Customers can now limit registry access within an Azure Virtual Network (VNet), as well as whitelist IP addresses and ranges for on-premises services.

VNet and Firewall rules are supported with virtual machines (VM) and Azure Kubernetes Services (AKS).

Choosing between private and PaaS registries

As customers move into production, their security teams have a checklist they apply to production workloads, one of which is limiting all public endpoints. Without VNet support, customers had to choose between standalone products, or OSS projects they could run and manage themselves...

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Azure Backup for SQL Server in Azure Virtual Machines now generally available!

How do you back up your SQL Servers today? You could be using backup software that require you to manage backup servers, agents, and storage, or you could be writing elaborate custom scripts which need you to manage the backups on each server individually. With the modernization of IT infrastructure and the world rapidly moving to the cloud, do you want to continue using the legacy backup methods that are tedious, infrastructure-heavy, and difficult to scale? Azure Backup for SQL Server Virtual Machines (VMs) is the modern way of doing backup in cloud, and we are excited to announce that it is now generally available! It is an enterprise scale, zero-infrastructure solution that eliminates the need to deploy and manage backup infrastructure while providing a simple and consistent experience...

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Azure.Source – Volume 74

Now in preview

AzCopy support in Azure Storage Explorer now available in public preview

AzCopy in Azure Storage Explorer is now in public preview. AzCopy is a popular command-line utility that provides performant data transfer into and out of a storage account. AzCopy enhances the performance and reliability through a scalable design, where concurrency is scaled up according to the number of machine’s logical cores. Azure Storage Explorer provides the UI interface for various storage tasks, and now it supports using AzCopy as a transfer engine to provide the highest throughput for transferring your files for Azure Storage. This capability is available today as a preview in Azure Storage Explorer.

Screenshot of Azure Storage Explorer showing how to enable AzCopy in Azure Storage Explorer

Now available for preview: Workload importance for Azure SQL Data Warehouse

Announcing the pr...

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ONNX Runtime integration with NVIDIA TensorRT in preview

Today we are excited to open source the preview of the NVIDIA TensorRT execution provider in ONNX Runtime. With this release, we are taking another step towards open and interoperable AI by enabling developers to easily leverage industry-leading GPU acceleration regardless of their choice of framework. Developers can now tap into the power of TensorRT through ONNX Runtime to accelerate inferencing of ONNX models, which can be exported or converted from PyTorch, TensorFlow, and many other popular frameworks.

Microsoft and NVIDIA worked closely to integrate the TensorRT execution provider with ONNX Runtime and have validated support for all the ONNX Models in the model zoo...

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