ContentPosts from @ramravi92..
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@faun shared a link, 3 years, 2 months ago
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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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@faun shared a link, 3 years, 2 months ago
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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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@faun shared a link, 3 years, 2 months ago
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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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@faun shared a link, 3 years, 2 months ago
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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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@faun shared a link, 3 years, 2 months ago
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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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@faun shared a link, 3 years, 2 months ago
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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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@faun shared a link, 3 years, 2 months ago
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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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@faun shared a link, 3 years, 2 months ago
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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
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@mohammad_zaigam shared a post, 3 years, 2 months ago
Technical Solutions Specialist, Logiq.ai

THE 5 STAGES OF THE OBSERVABILITY MATURITY MODEL

The unprecedented growth of data in recent years has led to a demand for evolution in traditional monitoring practices.

The current observability maturity model is a good solution but needs further augmentations.

The widely accepted model includes the following stages:

1) Monitoring (Is everything in working order?)

2) Observability (Why is it not working?)

3) Full-Stack Observability (What is the origin of the problem, and what are its consequences?)

4) Intelligent Observability (How to predict anomalies and automate response?)

LOGIQ is supporting the next stage in the model i.e, Federated Observability. In other words, data availability for consumers with on-demand convenience.

The Observability Maturity Model.png
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@faun shared a link, 3 years, 2 months ago
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Building a Media Understanding Platform for ML Innovations

This is abouthow Netflix uses machine learning to improve their media platform for their users. Basically,Netflix teams focus on the integration of model outputs into applications, specifically for search capabilities for studio applications. They cover three use cases: dialogue search, visual sear.. read more  

Building a Media Understanding Platform for ML Innovations