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Evolving our Datastore - 2018-03-27

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Alessandra Bilardi
Alessandra Bilardi

AWS Summit 2018 Milano Our part of AWS presentation: Managed Relational Databases https://www.slideshare.net/AmazonWebServices/database-relazionali-gestiti

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Evolving our datastore From MySQL on Amazon EC2 to Amazon Aurora.. and more 27.03.2018 - AWS Summit
01 Who we are • Pixartprinting S.p.A. • Where: Quarto d’Altino, Venezia • Type: Web2Print of Cimpress group • Clients: 600.000 • Employees: 700 • Company surface: 35.000 MQ • Work jobs in a day: 10.000 • Packages sent in 1 year: 3M • Countries reached: +50 • Product combinations: 400 • Paper per year: 11.000 tons • Ink per year: 98 tons
02 Datastore - 2016
03 Business Challenges - 2016 • Datastore Business Challenges: • Use Managed Services • Add High availability • Improve Scalability
04 Datastore - 2016
05 Improvement - 2016
06 Black Friday - 2016
07 Black Friday - 2017
2016 vs 2017
2016 vs 2017 • EC2 + Percona Server • Bottleneck of the datastore • Unmanaged load • Website not available • Goal not reached • Amazon Aurora MySQL • Autoscaling of read replica • Managed load • Website available • Goal reached: maximum sales in 1 day
08 Monitoring
09 Business Challenges - 2018 • Datastore Business Challenges: • Use Aurora Auto Scaling feature • Experiment Aurora Multi-Master • Improve Proactive Monitoring

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  • 1. Evolving our datastore From MySQL on Amazon EC2 to Amazon Aurora.. and more 27.03.2018 - AWS Summit
  • 2. 01 Who we are • Pixartprinting S.p.A. • Where: Quarto d’Altino, Venezia • Type: Web2Print of Cimpress group • Clients: 600.000 • Employees: 700 • Company surface: 35.000 MQ • Work jobs in a day: 10.000 • Packages sent in 1 year: 3M • Countries reached: +50 • Product combinations: 400 • Paper per year: 11.000 tons • Ink per year: 98 tons
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  • 12. 09 Business Challenges - 2018 • Datastore Business Challenges: • Use Aurora Auto Scaling feature • Experiment Aurora Multi-Master • Improve Proactive Monitoring