Remove Comparison Remove Design Remove Speed
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing.

Latency 147
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Performance and Scalability Analysis of Redis and Memcached

DZone

Speed and scalability are significant issues today, at least in the application landscape. We have run these benchmarks on the AWS EC2 instances and designed a custom dataset to make it as close as possible to real application use cases. However, the question arises of choosing the best one.

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What Web Designers Can Do To Speed Up Mobile Websites

Smashing Magazine

What Web Designers Can Do To Speed Up Mobile Websites. What Web Designers Can Do To Speed Up Mobile Websites. I recently wrote a blog post for a web designer client about page speed and why it matters. She understood how important mobile page speeds were to the user experience and, by proxy, SEO.

Website 111
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. There were languages I briefly read about, including other performance comparisons on the internet. These include Python, PHP, Perl, and Ruby.

Java 214
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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. Connection One thing we haven’t looked at is the impact of network speeds on these outcomes. That’s almost 22× more! It’s a balancing act for sure. ? For example: vendor.js

Cache 353
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Frustrating Design Patterns: Broken Filters

Smashing Magazine

Frustrating Design Patterns: Broken Filters. Frustrating Design Patterns: Broken Filters. Part Of: Design Patterns. Part 4: Perfect Feature Comparison. Designing For The Comfortable Range. A well-designed filter in a well-designed trip planner UI. Vitaly Friedman. 2021-07-14T13:30:00+00:00.

Design 145
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The top four log analytics and log management best practices

Dynatrace

Thus, organizations face the critical problem of designing and implementing effective solutions to manage this growing data deluge and its associated implications. This integrated approach represents significant time savings, drastically reducing MTTI and speeding mean time to resolution (MTTR).