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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52
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An analysis of performance evolution of Linux’s core operations

The Morning Paper

An analysis of performance evolution of Linux’s core operations Ren et al., Perhaps the most interesting lesson/reminder is this: it takes a lot of effort to tune a Linux kernel. Google’s data center kernel is carefully performance tuned for their workloads. SOSP’19. Headline results. Security related root causes.

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Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions. The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. Stay tuned!

Media 246
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation. You can pick a smart selection of relevant metrics from these.

Metrics 130
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What is chaos engineering?

Dynatrace

Once established, chaos engineering becomes an effective way to fine tune service-level indicators and objectives, improve alerting, and build more efficient dashboards, so you know you are collecting all the data you need to accurately observe and analyze your environment. Speeds incident response. Improves customer satisfaction.

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Trip report: Autumn ISO C++ standards meeting (Kona, HI, USA)

Sutter's Mill

0] would be easy to call “obvious” in hindsight, but it’s far from the only option and this paper’s analysis shows a thorough consideration of alternatives, including their effects on existing and future code and future language evolution. Seeing only the end result of T.[0] This is that library.

C++ 107
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What I learned at GlueCon 2023?—?Tipping Points and Generative AI

Adrian Cockcroft

My talk was on Innovation and Tipping Points, the first half was based on some content I’ve given before on how to get out of the way of innovation by speeding up time to value or idea to implementation. Chai Atreya of Alteryx did an impressive live demo of using ChapGPT as a guide to developing some analysis in a Python notebook.