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Running the ML-Perf Storage benchmark on Nutanix files.

n0derunner

Some technical notes on our submission to the benchmark committee. Background For the past few months engineers from Nutanix have been participating in the MLPerftm Storage benchmark which is designed to measure the storage performance required for ML training workloads. appeared first on n0derunner.

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Benchmark With JMH

DZone

????????????????????????????. JMH stands for Java Micro-benchmark Harness and is a toolkit used for implementing benchmarks for applications running on JVM.??.

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Site reliability engineering: Six SRE trends to unleash DevOps innovation

Dynatrace

Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. Dynatrace news.

DevOps 147
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Secrets Detection: Optimizing Filter Processes

DZone

While increasing both the precision and the recall of our secrets detection engine, we felt the need to keep a close eye on speed. So it wasn’t a surprise to find that our engine had the same problem: more power, less speed. In a gearbox, if you want to increase torque, you need to decrease speed.

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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

As software engineers, we are always striving for high performance and efficiency in our code. One powerful way that can help us accurately measure the performance of our code is a process called benchmarking, and we’ll look at how to use BenchmarkDotNet with our C# code.

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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs improve software quality. SLOs aid decision making.

Software 264
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Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook

The Morning Paper

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads.