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Financial services firm reclaims 600 hours of engineering time annually

This leading financial services company provides critical payment processing and financial services infrastructure to enterprise clients across the UK and European markets. As a highly regulated provider, they maintain strict security, compliance, and uptime requirements in a growing Azure infrastructure environment to support their mission-critical applications.

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Throughout the year, they faced seasonality issues that required spikes in capacity. Handling this manually was eating up 40-50 hours of engineering time per month while still resulting in only 35% utilized capacity on average. The key problem was that while expanding their storage was fairly simple, they had no clear way to shrink back down without downtime and excessive manual effort.

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To manage their capacity, reclaim costs, and free up engineering, they partnered with Lucidity to implement intelligent, autonomous cloud block storage optimization across their Azure environment with AutoScaler. With Lucidity on board, they autonomously scale storage capacity up or down depending on actual data needs, preventing downtime and saving significant budget every month. They were even able to unblock and execute on the migration of hundreds of legacy V1 disks that had been stuck for months thanks to Lucidity.

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With over 50% cost savings realized and the knowledge that continued data growth will be optimized in the future with no performance impact, this financial services firm has eliminated manual storage management, recouped significant wasted spend and avoided future costs, all autonomously.

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