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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks .

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How to Assess MySQL Performance

HammerDB

Among the different components of modern software solutions, the database is one of the most critical. Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. For the experiments in this blog, we did not tune the system.

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The top 5 reasons to run your own database benchmarks

HammerDB

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

Nonetheless, operating Lambda functions comes with its own unique challenges and—especially when used within enterprise stacks—the operational requirements are the same as for any other piece of software. These served as our benchmark when creating our Lambda monitoring extension. So, stay tuned for more blog posts and announcements.

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The Speed of Time

Brendan Gregg

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). But I'm not completely sure.

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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. Basic Benchmarking Concepts.

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

Nonetheless, operating Lambda functions comes with its own unique challenges and—especially when used within enterprise stacks—the operational requirements are the same as for any other piece of software. These served as our benchmark when creating our Lambda monitoring extension. So, stay tuned for more blog posts and announcements.

Lambda 179