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When running applications at scale, it is always important to keep an eye out on performance and cost. But what if I would tell you there is a simple configuration change that will save at least 20% on cost and improve the performance of most of your lambdas.
You've been coding with Python for a while, but have always ran your scripts on your local machine. You want to take it to the next level and deploy your scripts on a server. Here, you will discover an easy way of doing this by using a technology that's called a container.
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