A deep dive into Azure SQL Hyperscale which, as we will see, betrays the fact this is a great option for almost every SQL workload, not just those that need huge scale.
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▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 – Introduction
01:07 – Regular SQL architecture
02:45 – SQL Hyperscale architecture
03:03 – Components
03:45 – Log Service
05:28 – Page Servers
07:54 – Database storage scale
10:04 – Cache
12:08 – Compute scale
13:18 – Provisioned vCores
17:49 – Scaling the vCores
20:37 – Serverless
23:24 – Replicas
27:25 – Named replicas
29:42 – Geo-replication
33:28 – Elastic pool
38:22 – Per DB min and max vCore
40:27 – Isolation
40:40 – Scaling elastic pool
41:16 – You don’t need to know any of this
42:24 – Pricing
43:53 – Huge scale flexibility
44:25 – Other names
45:38 – Close
▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Whiteboard:
🔗 https://github.com/johnthebrit/RandomStuff/raw/master/Whiteboards/AzureSQLHyperscale.png
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