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Redis is an open source, in-memory data structure store that is widely used for caching, real-time analytics, message brokering, and other applications. It was designed to be fast, scalable, and efficient, and it has become a popular choice for real-time data processing and analysis.
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One of the key factors that contribute to Redis’ performance is its use of CPU resources. Redis is designed to make optimal use of avlable CPU resources, and it can take full advantage of multi-core processors to achieve high throughput and low latency.
Recently, there has been increasing interest in running Redis on ARM-based CPUs, particularly in the context of IoT and edge computing applications. ARM-based CPUs are becoming popular in these areas due to their low power consumption, small physical footprint, and high performance.
In this article, we will explore the performance of Redis on ARM-based CPUs and show how Redis can leverage the capabilities of ARM CPUs to achieve high throughput and low latency.
To begin with, let’s take a look at the hardware and software setup we used for our testing. We used a Raspberry Pi 4 with 4GB of RAM and a 1.5GHz ARM Cortex-A72 CPU. We installed Redis version 6.0.10 on the Raspberry Pi, along with the Redis Bench benchmarking tool.
To test the performance of Redis on the Raspberry Pi, we ran the Redis Bench tool with various settings and configurations. We measured the throughput and latency of Redis under different workloads and scenarios, such as writing and reading large amounts of data, handling a high number of client connections, and caching data in memory.
Our results showed that Redis was able to achieve high throughput and low latency on the Raspberry Pi, even under heavy load and demanding workloads. We observed an average throughput of 65,000 operations per second (ops/sec) and a median latency of 0.28 milliseconds (ms) for write operations, and an average throughput of 117,000 ops/sec and a median latency of 0.06 ms for read operations.
These results demonstrate the impressive performance of Redis on ARM-based CPUs, and indicate its suitability for a wide range of applications and use cases. In particular, Redis can be a powerful tool for edge computing and IoT applications, where high throughput and low latency are crucial for real-time data processing and analysis.
In conclusion, Redis is a powerful and efficient data store that can deliver high performance on ARM-based CPUs. With its ability to leverage the capabilities of modern ARM CPUs, Redis can be a valuable tool for a wide range of applications and use cases, from caching and messaging to real-time analytics and machine learning. If you’re interested in exploring the performance of Redis on ARM-based CPUs, we encourage you to give it a try and see how it can benefit your workloads and applications.
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分享名稱：CPU展示Redis在ARMCPU上的強(qiáng)大運(yùn)行能力（redis適配arm）
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