Today, most tech companies process more data per second than ever. Such amount of data is not only a result of the number of served users, but it’s also related to the tendency to “measure” everything so we can make better decisions in the future (for example, recommendations). To make such data-intensive systems successful and reliable, we have to make them scalable. In this short series of articles, I want to discuss what application scalability means and how it can be achieved on Kubernetes clusters.

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