Making Kubernetes ready for spark workloads
Add Share
Back-end • March 2021
Making Kubernetes ready for spark workloads
Explore more
Language
English
Level
Beginner
Length
55 minutes
Type
webinar
About
Making Kubernetes ready for spark workloads
About
At Xriba we need to analyze and transform a lot of accountability data, to improve our machine learning models and offer our customers a fast and reliable overview of their company KPIs. Spark is one of the best technologies for high volume data processing that optimizes time and resource utilization, but managing a spark cluster is not an easy task. We will describe our journey from Dataproc, the Google Spark offering, to a self-managed deployment on Kubernetes that helped us to keep costs under control and deployment strategies on par with the rest of our company software.
About speakers
About speakers
Andrea Tortorella
Tech LeadXriba L.t.d.
I'm a polyglot programmer with 10 years of experience. I've worked in different fields ranging from constrained IOT devices and mobile development, to data pipelines and distributed systems. I'm currently focusing on solving problems in micro service architectures and cloud infrastructure.
Nunzio Iaccarino
Python developerXriba
Several years of experience in sfotware development, always curios about new technologies and new strategy to write manutenable and faster code, I worked with several programming language digging on some different development branch starting from mobile apps development, to back/front-end development, currently I have accepted a new challenge joining in an machine learning development team, discovering the data scientist world ...
Details
Language
English
Level
Beginner
Length
55 minutes
Type
webinar