The network team at Procter & Gamble inherited infrastructure from years of outsourcing different solutions for small problems. A central repository for data analysis was needed to churn through the high amount of data (nearly 6TB a day) coming from disparate software sources. Procter & Gamble chose Elastic, and Elastic Cloud Enterprise specifically, to unify their data. Learn how the Elastic Stack has offered speed, resiliency, and high availability to help Procter & Gamble achieve a greater understanding of their data, as well as introducing observability to their toolkit to help them be more proactive and provide better services.
Senior Software Engineer
Procter & Gamble