We will explore strategies and best practices for squeezing the most performance out of cloud solutions, while minimizing costs. Despite some focus on Perl performance specifically, the talk will cover many topics, from instance types and architectures, to scaling, storage, monitoring and more.
As many organizations have discovered, including
our own, cloud solutions can be quite expensive. Also, cloud solutions may at times not perform as well as the in-house solutions they replaced. However, there are ways to significantly mitigate both the cost and performance issues. We already briefly touched upon the topic of compute performance in my
Real-World Software Performance Optimization talk in last year's Perl conference. This time while some focus will be on Perl performance, we will go into detail and have a wider discussion around compute instances (types, cpus etc), benchmarking, storage, networking and more.
Furthermore, we will look into tips and strategies to significantly minimize costs - cloud solutions are usually more expensive, but they don't always have to. There are cases where they can provide the best value, as long as you are aware of some caveats.
At SpareRoom, most of our experience is primarily on Google Cloud and secondly on AWS, however a few other cloud providers will also be discussed, especially ones that might offer unique value for specific scenarios or small projects etc.
Audience: All
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