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Redis on Azure Performance Benchmark – ScaleGrid for Redis™ vs. Azure Cache

Scalegrid

Redis is a great caching solution for highly demanding applications, and there are […]. In fact, it is the number one key value store and eighth most popular database in the world. It has high throughput and runs from memory, but also has the ability to persist data on disk.

Cache 130
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The Importance of Selecting the Proper Azure VM Size

SQL Performance

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. You'll see the types referenced as Family in the Azure Portal when sizing a VM. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics.

Azure 76
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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.

Azure 72
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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. The L3 cache size is 64MB. GHz Intel Xeon E5-2673 v3 (Haswell) processors that Microsoft uses for many of their Azure VM series. Figure 1: CPU-Z Benchmark Results for LS16v2.

Azure 42
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HOW IT WORKS: SQL Server Scheduler Affinity

SQL Server According to Bob

​​ ​​ Windows Job Objects In SQL Azure the SQL Server​​ may ​​ be executed under the control of a​​ Windows Job Object. MANUAL Applies To: SQL Azure Database & SQL Server Box Manual affinity is​​ also​​ termed hard affinity.

Servers 40
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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. They are more of a benchmark than a true measurement of real user experience.

Website 131
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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Disk based caching. Hybrid Sync. Offline access.