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๐€๐ณ๐ฎ๐ซ๐ž ๐‚๐ฅ๐จ๐ฎ๐ ๐Œ๐ข๐ง๐๐ฆ๐š๐ฉ - A Practical Guide for Data & Cloud Engineers โ˜๏ธ

๐€๐ณ๐ฎ๐ซ๐ž ๐‚๐ฅ๐จ๐ฎ๐ ๐Œ๐ข๐ง๐๐ฆ๐š๐ฉ - A Practical Guide for Data & Cloud Engineers โ˜๏ธ If youโ€™re working with cloud,โ€ฆ

This is a dev post classified by Jev as Hosting & infra (a free resource), kept by the Dev Radar because it carries real work, not commentary.

๐€๐ณ๐ฎ๐ซ๐ž ๐‚๐ฅ๐จ๐ฎ๐ ๐Œ๐ข๐ง๐๐ฆ๐š๐ฉ - A Practical Guide for Data & Cloud Engineers โ˜๏ธ If youโ€™re working with cloud, data engineering, or DevOps, understanding the ecosystem of Microsoftโ€™s Microsoft Azure is essential. This mind map breaks down the core Azure services every engineer should know: ๐Ÿ”น Compute Virtual Machines, VM Scale Sets, App Service, Azure Functions, AKS, Container Instances ๐Ÿ”น Storage Blob Storage, ADLS Gen2, File Storage, Queue Storage, Managed Disks ๐Ÿ”น Databases Azure SQL Database, Cosmos DB, PostgreSQL / MySQL Managed, Synapse SQL Pools, Redis Cache ๐Ÿ”น Data & Analytics Azure Data Factor

Posted by Aiswarya Venkitesh (2.1k followers) 1 h ago ยท 21 likes ยท 356 views ยท view the original post on X. Kept by the Dev Radar as Hosting & infra.

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