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Azure Virtual Machines for SQL Server Usage

SQL Performance

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

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AMD EPYC Processors in Azure Virtual Machines

SQL Performance

These VMs are not available in all regions, so you will want to check the availability in the Azure region that you are interested in using. This processor has a base clock speed of 2.0GHz, with an all-core boost speed of 2.55GHz, and a max boost clock speed of 3.0GHz. The L3 cache size is 64MB. Azure Lsv2 Details.

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Don’t Sink Your Website With Third Parties

Smashing Magazine

In this case, we are not going to be talking about infrastructure services, such as a cloud computing platform like Microsoft Azure or a content distribution network like Akamai. The most popular, by far, is the Google Lighthouse report (available in Chrome Developer Tools) and Google’s Page Speed Insights.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching.