Remove Benchmarking Remove Metrics Remove Performance
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Performance and Scalability Analysis of Redis and Memcached

DZone

This article takes a plunge into the comparative analysis of these two cult technologies, highlights the critical performance metrics concerning scalability considerations, and, through real-world use cases, gives you the clarity to confidently make an informed decision.

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New web performance insights with additional metrics and enhanced Visually complete for synthetic monitors

Dynatrace

Synthetic monitors are also the perfect tool to monitor performance baselines. This clean-room, lab-like environment allows you to react to slight changes in performance. It also gives you the first indication of whether a new deployment of your application or API leads to a performance improvement or, perhaps, a regression.

Metrics 221
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PostgreSQL Benchmark: ScaleGrid vs. Amazon RDS

Scalegrid

Performance Benchmarking of PostgreSQL on ScaleGrid vs. AWS RDS Using Sysbench This article evaluates PostgreSQL’s performance on ScaleGrid and AWS RDS, focusing on versions 13, 14, and 15. Key metrics include TPS and QPS. You can access the benchmark here: [link]. AWS RDS ran on db.m5.large

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Introducing Page Speed Benchmarks – a new resource for the performance community

Speed Curve

Here are some common questions I’m asked when I talk with people about performance: Which metrics should I care about? What are some good sites I can use for benchmarking? With Page Speed Benchmarks, you can do things like: See what the different metrics actually mean in terms of user-perceived performance.

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How To Benchmark And Improve Web Vitals With Real User Metrics

Smashing Magazine

How To Benchmark And Improve Web Vitals With Real User Metrics. How To Benchmark And Improve Web Vitals With Real User Metrics. How would you measure performance? Other times it’s about how fast a task is performed. Other times it’s about how fast a task is performed. Átila Fassina.

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Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. Instead, they can ensure that services comport with the pre-established benchmarks. When organizations implement SLOs, they can improve software development processes and application performance.

Software 270
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Secrets Detection: Optimizing Filter Processes

DZone

In a previous article , we explained how we built benchmarks to keep track of those three metrics: precision, recall, and the most important here, speed. These benchmarks taught us a lot about the true internals of our engine at runtime and led to our first improvements.