Google Cloud Platform

Google Earth Engine → goo.gle/3ajGSrc Earth Engine was launched over a decade ago as a geospatial analytics platform that takes planet-scale data and couples it with the computing power of

Mete Atamel (@meteatamel) shows how you use the Text-to-Speech API with C#.

Cloud Functions scale dynamically, charge per use and eliminate the toil of infrastructure management. So why would I run functions in different environments?

Eno Compton (@enocom_) shows how to deploy a container to Google Compute Engine without any preexisting setup. #CloudMinute

In this video Aja Hammerly (@the_thagomizer) shows you how to configure a new HTTP or HTTPS load balancer on Google Cloud Platform.

Preview of the BigQuery: Qwik Start lab.

In this episode of Pub/Sub Made Easy, Priyanka Vergadia goes into depth about the Cloud Pub/Sub feature called “Seek”.

In this episode of AI Adventures, Yufeng introduces how you can use Deep Learning VMs on Google Cloud Platform to seriously boost your data science processing power, and access it all through Colab.

Dead-letter queues → goo.gle/3u5dLkl Message ordering → goo.gle/2M5CaVK Replaying past messages → goo.gle/3du08oP Pub/Sub is an asynchronous messaging service that can help

Google is thinking differently about what it means to be Serverless.

Our fictitious app - Kitty Cat Walks - is rapidly gaining new users, and wants to have a clearer understanding of their customers without compromising financial or personal information.

In this episode of Get Cooking in Cloud, Priyanka Vergadia goes over website hosting challenges faced by two unique businesses and how Google Cloud was able to help them build an online presence.

Previously, Holt discussed Document AI Specialized processors and how they can provide intelligent insights into certain document types.

Google Cloud Platform – 28 марта 2017, 1:11

In this video, Lak Lakshmanan, Tech Lead, Professional Services, shows you a new feature that makes analyzing and visualizing geospatial data in BigQuery easy and highly performant.

You’ve made the decision to run your data analytics on BigQuery’s serverless platform.

Getting started with Katib → goo.gle/3hI9sFi How do you go about setting the number of epochs you want to train? What about choosing the type of optimization functions you want to use?

This session is your key to the Google Cloud Platform kingdom, covering compute options, storage and database solutions, container-driven runtimes, continuous integration tools, applied DevOps

Want to know how to utilize Cloud Monitoring in Cloud Console?

AI has become front and center when it comes to driving developer velocity.

Datastream → goo.gle/3d4MWZN Try the lab → goo.gle/3hwYJCh Datastream is a serverless and easy-to-use change data capture and replication service that makes it easy to replicate

Video from GCP Live 11/4/2014. So you want to build a new application in the Cloud, but you’re not sure where to start?

Developing or building applications with GKE, Cloud Build, Cloud SDK, or other Google Cloud services?

Versions and environments documentation → goo.gle/3anTz5l Flows documentation → goo.gle/3dginOx In the last episode, we showed how you can create a single-flow agent with Dialogflow

Analytics Hub → goo.gle/3lXWdEV Google Cloud Analytics Hub allows you to easily exchange data and insights across organizational boundaries within a strong security, governance, and privacy

Machine Learning for the enterprise.

Derive actionable insights from unstructured text using Google machine learning.

Did you know GitHub Actions integrates with Google Cloud? Welcome back to Serverless Expeditions Extended! In this video, Martin and Luka discuss various use cases for GitHub Actions.