ContentPosts from @desertprincess..
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Securely access Google Cloud through GitHub with Workload Identity Federation

Learn how to securely access Google Cloud resources without using long-lived Service Account keys in this tutorial on Workload Identity Federation. By leveraging Identity Pools and Identity Providers like GitHub, you can generate short-lived access tokens to grant access to specific APIs only when .. read more  

Securely access Google Cloud through GitHub with Workload Identity Federation
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Data Encryption techniques in Google Cloud (GMEK/CMEK/CSEK)

This article explains the importance of encryption at rest and encryption in transit for storing and transferring sensitive data in Google Cloud. The three encryption methods available for data at rest areGoogle-managed encryption keys(GMEK),customer-managed encryption keys(CMEK), andcustomer-suppl.. read more  

Data Encryption techniques in Google Cloud (GMEK/CMEK/CSEK)
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Consider All Microservices Vulnerable — And Monitor Their Behavior

This post highlights the importance of being aware that even if best security practices are followed, microservices will still be vulnerable. It suggests that instead of trying to create completely invulnerable services, organizations should acknowledge that their services are vulnerable and focus o.. read more  

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Generally available: nconnect support for Azure Files NFS v4.1 shares

Azure Files NFS v4.1 share now support nconnect option. Nconnect is a client-side Linux mount option that increases performance at scale. With nconnect, the NFS mount uses more TCP connections between the client and the Azure Files service for NFSv4.1. Using Nconnect can improve a client’s throughpu.. read more  

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Public Preview: Change data capture for Azure Cosmos DB analytical store

Azure Cosmos DB analytical store now supports Change Data Capture (CDC), allowing customers to efficiently consume, at no RUs cost, a continuous and incremental feed of changes (inserts, updates, and deletes) from analytical store, add transformations like data flattening, and write the data to dive.. read more  

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Public Preview: Selective Disk Backup and Restore in Enhanced Policy for Azure VM Backup

Azure VM Backup is adding "Selective Disk Backup and Restore" to its Enhanced Policy, which allows developers to choose specific data disks to backup directly from the portal. This feature was previously available in the Standard Policy, but it now offers additional capabilities in the Enhanced Pol.. read more  

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General availability: Ephemeral OS disks supports encryption at host using customer managed keys

Ephemeral OS disks can be encrypted at host using platform managed keys or customer managed keys. The default is platform managed keys. This feature would enable our customers to meet your organization's compliance needs... read more  

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Build Intelligent Applications using ChatGPT & Azure Cosmos DB

Developers are increasingly relying on AI and machine learning to enhance their applications, and chatbots are becoming a highly sought-after delivery method. In this tutorial, Sandeep Nair walks us through building a Cosmos DB ChatGPT sample application using OpenAI's service API. The blog post go.. read more  

Build Intelligent Applications using ChatGPT & Azure Cosmos DB
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Scale multiple Azure SQL databases on a logical server

This tutorial demonstrates the process of using Azure Portal or PowerShell script to scale multiple databases in a logical server into an elastic pool and how to upgrade databases with geo-replication failover group. It also highlights the need to exclude the master database and advises caution whe.. read more  

Scale multiple Azure SQL databases on a logical server
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Training and deploying your PyTorch model in the cloud with Azure ML

This article explains the benefits ofmoving PyTorch models to the cloud using Azure ML. It suggests that training models in the cloud can handle larger models and datasets than those trained on local machines. The author provides instructions for training and deploying a Fashion MNIST model using .. read more  

Training and deploying your PyTorch model in the cloud with Azure ML