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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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Distance-Based ISA for Efficient Register Management

ACM Sigarch

To create a CPU core that can execute a large number of instructions in parallel, it is necessary to improve both the architecturewhich includes the overall CPU design and the instruction set architecture (ISA) designand the microarchitecture, which refers to the hardware design that optimizes instruction execution.

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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

The division by a power of two ( / (2 N )) can be implemented as a right shift if we are working with unsigned integers, which compiles to single instruction: that is possible because the underlying hardware uses a base 2. We also published our benchmarks for research purposes. I make my benchmarking code available.

C++ 279
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. One, by researching on the Internet; Two, by developing small programs and benchmarking. These include Python, PHP, Perl, and Ruby.

Java 214
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10 tips for migrating from monolith to microservices

Dynatrace

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

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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. Traditionally, teams achieve this high level of uptime using a combination of high-capacity hardware, system redundancy, and failover models. Ideally, teams need the ability to anticipate problems and fix conditions before an issue develops.

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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. ” Usually when benchmark results are surprising it is a major hint that something could be misconfigured and that certainly seems the case here, so what could it be?