Taming Content Discovery Scaling Challenges with Hexagons and Elasticsearc

As DoorDash continues its rapid growth, product development must keep up the pace and move new features into production faster and with high reliability. Shipping features without previewing them in the production Kubernetes environment is a risky proposition and could slow down the product development process because any bugs or defects would send everything back to the drawing board. In a Kubernetes environment, developers must build, push, and deploy docker images in the cluster to preview their features before they are pushed to production. This previewing process was too slow for DoorDash’s needs, so the development productivity team had to find a way to build a faster feedback loop.

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