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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

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What Is a Workload in Cloud Computing

Scalegrid

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.

Cloud 130
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The Speed of Time

Brendan Gregg

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. A quick check of basic performance statistics showed over 30% higher CPU consumption.

Speed 126
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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. Microsoft has helped simplify things by creating multiple types of virtual machines. Compute optimized – High CPU-to-memory ration, medium traffic web servers and application servers. Benchmark Test.

Azure 76
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The Ultimate Guide to Database High Availability

Percona

High availability works through a combination of the following: No single point of failure (SPOF) : You must eliminate any single point of failure in the database environment, including physical or virtual hardware the database system relies on that would cause it to fail. there cannot be high availability.

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High Availability vs. Fault Tolerance: Is FT’s 00.001% Edge in Uptime Worth the Headache?

Percona

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Load balancing: Traffic is distributed across multiple servers to prevent any one component from becoming overloaded.

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The Speed of Time

Brendan Gregg

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. A quick check of basic performance statistics showed over 30% higher CPU consumption.

Speed 52