Top Use Cases That Can Benefit from AWS Graviton Performance Gains

Top Use Cases That Can Benefit from AWS Graviton Performance Gains

The ARM-based AWS Graviton processors can accelerate a wide range of scale-out workloads that stand to benefit from optimized price/performance.

 

Based on real-world client deployments, here are the top 5 use case patterns that see significant gains from switching to Graviton:

 

 

  1. Web Serving and Reverse Proxy Fleets

 

Graviton instances can handle up to 30% more concurrent user requests before performance degradation thanks to consistent low latency. This allows right-sizing server capacity at lower costs.

 

 

  1. Microservices and Container Orchestration

 

Ability to spin up more containers per host lets development teams shift left on performance testing without inflating infrastructure budgets.

 

 

  1. Video Encoding and Graphics Render Farms

 

Specialist workloads with floating point and matrix math dependencies experience major speedups from Graviton-backed fleets.

 

 

  1. In-Memory Caching Tiers

 

Latency-sensitive caching layers like Redis and Memcached can scale to handle heavier throughput when running on Graviton instances.

 

 

  1. Data Ingestion Pipelines

 

The combination of sustained compute plus onboard data compression acceleration makes Graviton ideal for ingesting high velocity streams from IoT devices.

 

 

In addition, any scale-out application migrated from x86 to Graviton benefits from built-in architectural security advantages including run time memory protections.

 

Have a use case in mind? Get in touch to schedule a custom proof-of-concept demonstrating Graviton efficiency gains for your specific workloads.

One thought on “Top Use Cases That Can Benefit from AWS Graviton Performance Gains”

  1. This is an English text.

    Graviton instances seem to offer significant performance improvements for various workloads. The ability to handle more concurrent requests and scale efficiently is a game-changer for businesses. The focus on cost-effectiveness without compromising on performance is particularly impressive. The mention of IoT device integration highlights its versatility. How does Graviton compare to traditional instances in terms of initial setup and migration complexity? Recently, I came across a program for GPT-generated text (генерация текста) in Russian. The cool part is that it runs locally on your own computer, and the output is actually unique and quite decent. By the way, I hope the content on your site isn’t AI-generated?

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