“We snapshot onto the Gluster, we take the data off the Gluster, put it in HPSS. If we need to restore, we pull from HPSS back onto the Gluster, then take that and restore it back in using Elastic[search].”

"I think a large part of our successful transformation was that we made sure we had foundational capabilities in place as we deployed Elastic and moved to the cloud. We asked questions and worked closely with Elastic every step of the way on monitoring, alerting, and visibility, and we didn’t …

“With ESRE and Azure OpenAI-powered search experiences, we aim to reduce what may take our customers months during an investigation to hours.”

"At the time, we were one of a few companies in our space that used LLMs and AI summarization features on top of a search engine."

"Compared to the multi-million dollar investment of other systems, which can take months to implement and years to return value, the Elastic Stack delivered a stable implementation, with very little upfront risk and at a fraction of the cost, from day one, minute one."

"What Google did for the Internet, the Elastic Stack does for Sprint's machine data."

"Tools like the Elastic Stack are making the difference for the company and for the consumers. We don't need to roll out a secret plan to gain an edge over the competition. Being able to see problems in the system and take care of them in seconds instead of hours …

"The power of Elastic’s machine learning capabilities enriches the user search experience in the areas of recommendations and discovery."

“It’s about decreasing the amount of effort. Before, when we worked with traditional relational databases like MySQL, we needed to invest lots of time optimizing and tuning to achieve the effect and performance that we now have with Elasticsearch.”

"We used their built-in software for monitoring and log analysis, but we couldn't easily create custom metrics and aggregate data from additional sources."

“Without this information in Elasticsearch, in our catalog. It’s not possible. The user has to [make] assumptions.”

"Thanks to Elasticsearch, we managed to reduce that time from an average of 2 seconds to 100 milliseconds."

"Elastic meets our most important criteria. It offers free and open technology that we can manage ourselves, deploy on the cloud, and scale to the needs of the business. It is also extremely efficient and cost effective, which supports our plan to deploy search across more products and more use …

“Elastic is at the foundation of our search technology. That’s the way we're able to match people to resources quickly and easily. It lets us do our geo-location based searching. It helps us with our matching algorithms."

"Some technologies do not translate well in the world of virtualized machines and network drives. But setting up Elasticsearch on Azure was a breeze, performance is excellent and the system very stable."