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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

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Site-Speed Topography

CSS Wizardry

When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. For now, I’m usually sat with a coffee, some tunes on, and an old-school pen and paper making notes. Now, let’s move on to gaps between First Contentful Paint and Speed Index.

Speed 292
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Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
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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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Turbocharge Your Apache Spark Jobs for Unmatched Performance

DZone

Apache Spark is a leading platform in the field of big data processing, known for its speed, versatility, and ease of use. However, getting the most out of Spark often involves fine-tuning and optimization. Understanding Apache Spark Apache Spark is a unified computing engine designed for large-scale data processing.

Big Data 130
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The Speed of Time

Brendan Gregg

What about short-lived processes, like a service restarting in a loop? Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? Was there some other program consuming CPU, like a misbehaving Ubuntu service that wasn't in CentOS? top(1) showed that only the Cassandra database was consuming CPU.

Speed 126