How Ancestry Got Kubernetes to Run 2x Better Per Dollar Using AI
Darek Gajewski, Principal Infrastructure Analyst for Ancestry.com, relies on Kubernetes to quickly integrate and deploy applications across Ancestrys website, which receives 50-million visitors a mon …
| Talk Title | How Ancestry Got Kubernetes to Run 2x Better Per Dollar Using AI |
| Speakers | Darek Gajewski (Principal Infrastructure Analyst, Ancestry) |
| Conference | KubeCon + CloudNativeCon North America |
| Conf Tag | |
| Location | San Diego, CA, USA |
| Date | Nov 15-21, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Darek Gajewski, Principal Infrastructure Analyst for Ancestry.com, relies on Kubernetes to quickly integrate and deploy applications across Ancestry’s website, which receives 50-million visitors a month, and generates more than a billion dollars in revenue.To get optimum performance out of Ancestry’s cloud applications, Ancestry employed artificial intelligence for continuous optimization of the application runtime environment. AI brings continuous optimization (CO) to the CI/CD process. In a PoC, Ancestry used AI to cut the resources of one application by more than 50 percent, with zero drop in performance. In this instance, Ancestry has been able to get two times the performance out of Kubernetes for every dollar spent.AI-powered CO delivers a well-optimized infrastructure personalized to the workload and delivers better reliability, at higher performance, for much lower costs.
