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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Several factors impact RabbitMQs responsiveness, including hardware specifications, network speed, available memory, and queue configurations. Performance and Benchmark Comparison When comparing RabbitMQ and Kafka, performance factors such as throughput, latency, and scalability play a critical role.

Latency 147
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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

Five-nines availability: The ultimate benchmark of system availability. Instead, to speed up response times, applications are now processing most data at the network’s perimeter, closest to the data’s origin. But is five nines availability attainable? Each decimal point closer to 100 equals higher uptime.

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Further improved handling and reliability of OneAgent deployments

Dynatrace

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. As such, it’s quite often a network-shared mount point that multiple hosts use to store third party software and libraries. Dynatrace news.

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Page bloat update: How does ever-increasing page size affect your business and your users?

Speed Curve

These numbers should NOT be taken as a benchmark for your own site. Making your pages as small as possible is in the best interest of your users who don't have access to fast networks and devices. Don't forget to monitor longtail performance While some of your users may have newer devices and speedy networks, not all are this lucky.

Mobile 97
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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

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Beyond data and model parallelism for deep neural networks

The Morning Paper

Beyond data and model parallelism for deep neural networks Jia et al., FlexFlow is also given a device topology graph describing all the available hardware devices and their interconnections. Hardware connections between devices are modelled as special communication devices which can execute communication tasks.

Network 81
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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X