From the course: Rust for Data Engineering
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Host efficiency serverless optimization problem - Rust Tutorial
From the course: Rust for Data Engineering
Host efficiency serverless optimization problem
- [Instructor] Let's talk through some of the key problems with host virtualization efficiency. In serverless technology as well as virtual machines, you'll see this problem, and in a sense, it's a classic business school-type optimization problem where you have a set of requirements for a solution you're trying to build and you have to fit the best possible solution into the limited things that you have. And so in the case of virtualization hosts, they do come in default flavor. So for example, there could be a two-core machine with a certain amount of memory or a four-core machine with a certain amount of memory. Now, the problem is, if, by default, your language or your solution uses a lot of memory, like many interpreted languages like Ruby and Python, then already at the very beginning, you're going to be given a machine that has potentially more memory and more cores than a compiled language. So you're really losing…
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Core concepts in concurrency4m 36s
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Dining philosophers5m 36s
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Web crawl Wikipedia with Rayon3m 34s
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Intelligent chatbot with Tokio4m 36s
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Multi-threaded deduplication with Rust8m 57s
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Energy efficiency Python vs. Rust5m 37s
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Concurrency stress test with a GPU7m 33s
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Host efficiency serverless optimization problem3m 55s
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