Google Cloud Platform - Channel
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Auto-awesome: advanced data science on Google Cloud Platform (Google Cloud Next '17)
A key benefit of doing data science on the cloud is the amount of time that it saves you. You sho... -
API Design and What's new with Open API? (Google Cloud Next '17)
Apigee and Google are active participants in developing the third draft of the Open API Initiativ... -
INFRASTRUCTURE & OPERATIONS - How Google Does Planet-Scale Engineering for Planet-Scale Infra
Recorded on Mar 24 2016 at GCP NEXT 2016 in San Francisco. Google invented Site Reliability Engi... -
Build a powerful data backend for mobile and web (Google I/O '18)
There are many options and technical details to consider when building a performant and scalable ... -
Building IoT Applications on Google Cloud (Cloud Next '18)
Have you always wanted to build an IoT device and connect it to the Cloud? Feeling intimidated by... -
Introduction to big data: tools that deliver deep insights (Google Cloud Next '17)
In this video, William Vambenepe explains some big data basics and provide a survey-level introdu... -
Distributed Training in the Cloud
Training machine learning models at scale has never been simpler. By leveraging in the cloud mach... -
Organizing Kubernetes with Namespaces (Kubernetes Best Practices)
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how to work with Namespaces an... -
Using Apigee Edge to create and publish APIs that developers love (Google Cloud Next '17)
In this video, you'll learn how Apigee Edge enables you to craft and publish APIs that developers... -
Cloud Storage Bucket Performance
In this episode of cloud performance atlas, Colt McAnlis figures out what the right GCS bucket is... -
Building Small Containers (Kubernetes Best Practices)
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how you can build small contai... -
What's the Difference Between DevOps and SRE?
Seth Vargo and Liz Fong-Jones go head-to-head to determine which is better: DevOps or Site Reliab...

