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Which Is Best for Your MariaDB Cloud Migration: Azure or an Azure VM?

Datavail

These include: You cannot use MyISAM, BLACKHOLE, or ARCHIVE for your storage engine. No direct access to the underlying file system. Unable to change the MySQL system database. Server storage size only scales up, not down. Azure handles the database engine, hardware, operating system, and software needed to run MariaDB.

Azure 98
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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. The software layer can consist of operating systems, virtual machines, web servers, and enterprise applications. The infrastructure engineer supervises all three layers making sure that the entire system.

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Azure Virtual Machine Tutorial

The Crazy Programmer

How to use a Virtual Machine in your Computer System? In simple words, If we use a Computer machine over the internet which has its own infrastructure i.e. So once a client wants a game to be developed which should run on All of the operating Systems (i.e. Windows, macOS, Ubuntu). Windows 10 pro, Ubuntu Server ).

Azure 249
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Practical Steps for Enhancing Reliability in Cloud Networks - Part I

Kentik

Highly available networks are resistant to failures or interruptions that lead to downtime and can be achieved via various strategies, including redundancy, savvy configuration, and architectural services like load balancing. Resiliency. Resilient networks can handle attacks, dropped connections, and interrupted workflows.

Network 104
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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

If you’re implementing complex RAG applications into your daily tasks, you may encounter common challenges with your RAG systems such as inaccurate retrieval, increasing size and complexity of documents, and overflow of context, which can significantly impact the quality and reliability of generated answers. We use an ml.t3.medium

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Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock

AWS Machine Learning - AI

Our solution uses an FSx for ONTAP file system as the source of unstructured data and continuously populates an Amazon OpenSearch Serverless vector database with the user’s existing files and folders and associated metadata. The chatbot application container is built using Streamli t and fronted by an AWS Application Load Balancer (ALB).

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Our DevOps Toolbox: Consul

Exadel

They make Consul, which serves as a DevOps tool that provides service discovery, health checks, load balancing, and key/value storage. Then, a JSON file using Consul syntax is added with a task entered in a terminal window. Overall, using Consul allowed the team to monitor and check the entire system with great ease.

DevOps 10