An AdTech company was receiving 1000+ requests per second where their system was unable to handle the requests in a timely manner and the front-end was largely unresponsive during workhours. VaporVM performed a gap analysis to determine what deficiencies their solution had in terms of best practices. The final solution required sharding into multiple Databases based on region, Data migration to a different DB technology, solution architecture improvements, and re-indexing and automated data backup policies with a rolling window.
When all optimizations were performed, the business saved 30% of running costs and received performance gains to handle up to 7000+ requests per second.