‍

A digital transformation for a standalone company

This company is a large national retailer that procures and curates goods from all around the world for sale in their retail locations and online. With a storied history of operations, this company has gone through several changes in operations. As part of a major change a few years back, all relevant infrastructure was moved to Azure in a lift and shift migration. 

‍

As a result of the migration, they have a mix of legacy and modern technologies that they need to support and balance cost vs performance. For legacy technologies, the goal of the engineering team is to make them self-sufficient, so they can focus their efforts on modern architectures. 

Driving cost optimization and automation initiatives

The engineering team is responsible for managing the infrastructure, networking, and new development for ecommerce and marketing technologies. Over the past three years, there’s been a drive to keep costs under control and prevent spikes. The engineering team has leveraged Azure features and functions for that undertaking, but had reached the limit of what they could do with those alone. 

‍

While working with a partner on their cloud environment, they were introduced to Lucidity, and the value was instantly appealing. They did a proof of concept and saw the potential for cost savings right away. However, as they began to roll out Lucidity, the engineering team realized that the power of automation that AutoScaler delivers was going to have a much stronger impact for them. 

‍

‍

The dual savings and automation benefits of Lucidity

Lucidity AutoScaler eliminates overprovisioning on an ongoing basis through autonomous block storage rightsizing. The retailer felt the impact of this right away for their premium disks in Azure. Rightsizing these disks brought significant savings. But the real value came out after the initial savings were realized. The engineering team quickly realized that not only are they paying less for their storage, but they don’t have to manage their block storage disks anymore. The alerts and constant worry about them disappeared. 

‍

Running a lean team that is disciplined and focused with their time is a key part of the engineering teams’ strategy. The only way they are able to reach the levels of productivity that they are known for is through automation and abstracting away manual, low-level work. With Lucidity, they were able to reinvest some of the savings into expanding the team, and saw a major increase in their ability to spend time on key engineering initiatives by eliminating the mundane, day-to-day work of managing cloud block storage, especially on disks with legacy OSs that are more time consuming to deal with.

‍

Not only did Lucidity rightsize the retailer’s block storage, it keeps it rightsized on an ongoing basis. The continuous optimization ensures that the company can realize the savings and benefits of automation no matter how their data grows and changes, and with the benefit of cutting out the mundane work that ate up significant time before Lucidity. This helps them ensure they can plan and prioritize their team initiatives in the future while having the peace of mind in knowing that their block storage is optimized and not eating up valuable cloud budget on invisible waste.

‍

Driving continuous optimization through automation

Maximizing the value they realize from their cloud spend and engineering time is a driving ethos for this large retail company. Lucidity fits seamlessly into this approach, reclaiming wasted spend and removing time-consuming cloud block storage support and maintenance work from the engineering team’s plate. This helps the company focus on their high-impact engineering initiatives, confident that they’re getting the most out of their cloud block storage spend. 

‍

With their Managed Disk provisioning automated and optimized, this retail company is excited about finding new ways to increase the impact of their engineering team and cloud services without slowing down for manual storage management. 

‍