Classify Customer Feedback with Google Cloud Run Services you own this product

prerequisites: intermediate JavaScript • intermediate Kubernetes • basics of Docker
skills learned: creating a Kubernetes cluster • accepting HTTP requests • using serverless with Kubernetes • using machine learning to classify user feedback

Jonathan Campos

5 weeks · 5-7 hours per week · INTERMEDIATE

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Development

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liveProject liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $27.49 $49.99 you save: $22 (45%)

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Google Cloud Run Services lets you rapidly deploy containerized apps to the cloud. In this liveProject, you’ll harness Google Cloud Run to deploy a customer feedback workflow and integrate an automated machine learning solution. Your company handles thousands of feedback queries every minute, and this new system will ensure that important customers are quickly escalated and kept happy.

You’ve decided your workflow will receive customer feedback via HTTP POST service calls, then use automated machine learning to decide whether comments are positive or negative. Your challenges will include creating a Cloud Run instance, Google’s Managed KNative Kubernetes Cluster, accepting and storing feedback data with Google’s NoSQL firestore, and managing future rollouts with proper versioning.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book and video resources

When you start your liveProject, you get full access to the following books and videos for 90 days.

project author

Jonathan Campos

Jonathan Campos is an innovative programmer who keeps watch on what's next in emerging technologies. With over 15 years of development expertise and 10 years of consulting, he provides solutions to multinationals and startups alike. He currently serves as CTO at Alto Experience, a rideshare provider. He started as a developer for web and mobile technologies, expanding over the years to focus on the Google Cloud Platform, cloud application development best practices, and Machine Learning techniques. He spends much of his time giving back to the community by co-organizing Dallas's Google Cloud Platform user group and serving on the Tech Titans board in Dallas.

prerequisites

This liveProject is for experienced Kubernetes engineers looking for the flexibility of a serverless architecture. To begin this liveProject you will need to be familiar with:

TOOLS

Intermediate JavaScript
Intermediate Kubernetes
Basics of Docker
Basics of terminal/command lines

TECHNIQUES

Basic services

you will learn

In this liveProject, you’ll get hands-on experience with Google Cloud Platform while setting up a Kubernetes Cluster from scratch using Knative to orchestrate serverless functions.

Setting up a cloud environment
Creating a Kubernetes cluster
Accepting HTTP requests
Using serverless with Kubernetes
Using machine learning to classify user feedback
Event-based server development

features

Self-paced: You choose the schedule and decide how much time to invest as you build your project.
Project roadmap: Each project is divided into several achievable steps.
Get Help: While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others: For each step, compare your deliverable to the solutions by the author and other participants.
book resources: Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.