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About this event

This time, we are honored to co-host an event with Rakuten to share their precious experience on a large-scale cloud platform!

Rakuten, one of the biggest e-commerce companies in Japan, has been integrating infrastructure globally.

In this event, you can see how Rakuten developers manage a big number of clusters and components, how to make it orchestrated and scalable.

You will also learn how their big data is managed, as a good use case of utilizing Kafka and Hadoop for large-scale services.

After the presentations, you can also ask questions for them. Don't miss out on this great opportunity!

Event URL

Feel free to write real-time collaborative notes at HackMD

Talk 1: Rakuten Platform Overview

Description

• The number of services, IDs and data centers in the world
• Developing a global self-service private cloud
• Integrating multiple platforms
• Future challenges

Speaker

Mitchell Klijnstra (Mitch)

Vice Senior Manager, One Cloud Project Office

Talk 2: "Unclouding" Container Challenges

Description

Goal of CaaS, Container as a Service, to provide opinionated container orchestration for Rakuten Group

Major challenges

• Less admins but large number of clusters and components to maintain
• Cannot scale people, but infrastructure should be scalable
• Solution - write software solution for everything instead of doing SysAdmin + Scripts
• CaaS - wrote a ton of in house operators and tools to make this possible
• Future challenges

Speaker

Harpratap Layal (Harry)

Software Engineer, Application Platform Group

Harpratap has been working on various infrastructure projects inside Rakuten, focused on improving developer productivity through standardized platforms

Talk 3: Kafka & Hadoop in Rakuten

Description

• How big scale of platform service we are running (Kafka/Hadoop/ES)
• How to process and utilize data on the streaming
• Future challenges

Speaker

Yongduck Lee (Daniel)

Manager, Data Product Management Office

Senior Architect and Lead of Project/Product Management Office at Data Storage and Processing Section in Rakuten,Inc. Started as recommendation engine developer and have been providing a large scale of Big Data Solutions (Kafka, Hadoop, ELK, NiFi, Couchbase, and so on) with members. currently focusing on researching and verifying new Big Data Technology and how to support users who want to use Big Data System.

Language

English

Schedule