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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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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 Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Load balancers can detect when a component is not responding and put traffic redirection in motion.

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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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Why OpenStack is like a Crowdfunded Viking Movie

VoltDB

An opening scene involving a traffic jam of Viking boats and a musical number (“Love Can’t Afjord to wait”). Hardware Optimizers” want to get the maximum utilization out of hardware. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. Vikings fight zombies.

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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
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Why OpenStack is like a Crowdfunded Viking Movie

VoltDB

An opening scene involving a traffic jam of Viking boats and a musical number (“Love Can’t Afjord to wait”). Hardware Optimizers” want to get the maximum utilization out of hardware. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. Vikings fight zombies.