Big Data Analytics Pipeline on Google Cloud Platform by Yitong Liu
Abstract: This talk will give you an introduction about how to use different services on Google Cloud Platform to build big data and analytics/machine learning pipelines through real world experiences. It will cover services such as Pub/Sub, DataFlow, BigQuery and ML Engine etc. and how they can be used to simplify your big data infrastructure.
Yitong has been working with data analytics for last 6 years in various industries and is currently working as a senior consultant in data science. She is also a Google Cloud certified data engineer and believes that data engineering is the most fundamental part in a successful big data product.
Kubernetes Logging and Monitoring by Julien Bisconti
Abstract: This talk covers few patterns for architecting a monitoring and logging solution when building application on top of kubernetes. There will be a short introduction to kubernetes and containerised applications. We will then see why logging and monitoring in a cloud native environment differ from traditional virtualized environments.
Julien has been working as a software engineer for more than a decade with a liking for DevOps and site reliability engineering. He has worked on performance critical microservices at a global scale, he now focus mainly on DevOps and cloud native technology. He is a Google Developer Expert and is active in the Stockholm meetup community.
- 18:00 Arrive
- 18:15 First Talk, Big Data Analytics Pipeline on Google Cloud Platform by Yitong Liu
- 18:50 Break with food and drinks
- 19:20 Second Talk, Kubernetes Logging and Monitoring by Julien Bisconti
- 20:00 More drinks and a chance to ask questions