Join this talk to see how Indonesia’s leading online travel portal uses Google Bigtable to handle large analytical and operational workloads at scale.

Bigtable is Google Cloud's fully managed, scalable NoSQL database service. It's designed to serve gigabyte to petabyte-scale applications with low-latency and high-throughput data processing and analytics.

The talk will be covering the following topics:
* High-level intro to BigTable
-- High-level architecture
-- How to use / key structures / tools
* Why Bigtable was selected for the use case
-- High-level overview of use case
* Problems encountered. i.e. Hotspots after Scale-Up
-- How issues were resolved

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BIO
Irvi Aini
Irvi is a Software Engineer with focused interests in data engineering and distributed computing. As part of Traveloka’s data engineering team she contributed to the travel company’s migration to GCP and adoption of Kubernetes. Irvi has presented in various Cloud-native technology forums, been an organizer for various meetup in Indonesia. She jas also served as programme committee member for the Helm Summit 2019 in Amsterdam and Grace Hopper Celebration (GHC) 2020 committee.

Irvi is also a co-lead of Kubernetes Release Team 1.17 and Kubernetes Release Team 1.18 SIG Docs for Indonesian language. Irvi is a top 3 Indonesian Kubernetes contributor from Indonesia. She is also a contributor to Kubeflow CNCF project.

In addition, Irva has contributed to several open source projects by Facebook and Google. When not doing the above she enjoys language parsing with Rust and R, reading, cooking, and traveling (not in that order!).
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TLDR: Join this online event to understand Bigtable and key hotspots issues encountered in scaling up.

#Database #Bigtable #Scaling