Google Cloud Platform

Architecture Diagramming Tool Direct link → goo.gle/3edoF45 GitHub code to deploy this application → goo.gle/3Q5FvPA We’ve all used social media, but have you ever wanted to make

Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their needs, by leveraging Google’s

You may know her as “The Cloud Girl” or recognize her from her successful book - Visualizing Google Cloud, but she is known as Priyanka Vergadia to her friends and colleagues.

Debugging is often easier on a local machine than in the cloud. Follow along and learn how to debug Google Cloud Functions on your laptop, with Christoph Stanger and Martin Omander as your guides.

Cloud Identity and Access management ( IAM) allows you to control what permissions users have to your resources.

Tensorflow Extended (TFX) is an end-to-end platform for deploying production ML pipelines that allows developers to complete scalable, high-performing machine learning tasks.

Organizations are facing increased pressure to deliver new, transformative user experiences in an always-on, global economy.

There is no shortage of opportunities for clinical decision support and cognitive assistance in healthcare.

Check out the code for this episode → goo.gle/31X0Y6S Still sending issue tickets to your inbox and having them get lost in the mix?

What's the best way to organize dev, test, and production environments for your serverless app? In this video, we quickly show you how to organize each environment in Google Cloud!

Knative, which provides the technology for a serverless developer experience on Kubernetes, has seen remarkable growth and uptake since launching in 2018.

The hottest topics in computer science today are machine learning and deep neural networks.

You don’t need to be a Docker expert to build optimized containers for your Java applications. Instead, let Jib do all the heavy lifting for you!

This session will show you how Kubernetes-based services will bring the efficiency, speed, and scale of cloud to you.

In this episode of Cloud Security Basics, Carter Morgan speaks to how you can secure the physical systems that house and deliver information for your cloud-based application.

Instance Group Documentation → goo.gle/3uQ0vRc Do you want to manage a group of virtual machines as a single entity?

In this episode of Cloud Storage Bytes, Jenny Brown goes over how to use Cloud Storage object versioning, enabling versioning, disabling versioning, and much more!

Networking → goo.gle/3yRRfjH Public instances → goo.gle/3yVUdUc Private instances → goo.gle/3wOAy5U To understand implementation, security, and connectivity in Cloud Data

Find out what Google Cloud Datastore gives you, including Cloud Dataflow integration, a browser based editor, and a cross-platform API.

Workload Identity How-To → goo.gle/3PvGkC0 Do you want your GKE workloads to interact with Google Cloud APIs in a safe and secure way?

Is your current app running on a VM instance costing you money 24 hours a day, 7 days a week? Is your team afraid to modernize their web app because they are unfamiliar with Kubernetes?

GCP provides a full range of managed services to build end-to-end serverless applications.

Google BigQuery is an easy to use, managed service for large scale analytics and now it's been enhanced with geospatial capabilities so you can analyze your data in new ways!

In this session, you will learn how to connect to GCP with highly reliable and secure networking to support extending your data center networks into the cloud.

Recommendations AI is a new product from Google that helps retailers deliver highly personalized product recommendations at scale.

#GCPStartupGuides 0:00 Intro 1:00 Microservices vs Monoliths 2:10 Kubernetes overview 3:00 Google Kubernetes Engine overview 3:58 Creating a GKE cluster in Standard mode 7:55 Creating a GKE cluster

No more exporting Google service account keys or lumping permissions onto one account. Kubernetes now provides a way for Kubernetes workloads to prove their identity outside of their cluster.

Data harnessed through tools such as BigQuery allow organizations to deliver personalized experiences, make data-driven business decisions, and unlock new streams of revenue.

A lightning introduction to Spinnaker for Google Cloud Platform (GCP): set up and manage Spinnaker in a production-ready configuration, optimized for GCP.