vinoaj / gcp-resources

Useful GCP Resources

This repository houses links to useful resources related to operating successfully on the Google Cloud Platform (GCP). This repository is structured as a collection of folders that are broken down by GCP products (e.g. BigQuery) and by practice areas (e.g. ML & AI).

Foundational

• The CLoud Foundation Toolkit is a collection of Deployment Manager and Terraform best-practice templates to get you started on GCP. There are templates for provisioning projects, VPCs, GKE clusters, etc.
• Google Cloud Architecture Framework: Google Cloud's Architecture Framework describes best practices, makes implementation recommendations, and goes into detail about products and services. The framework aims to help you design your Google Cloud deployment so that it best matches your business needs.
• Google Cloud Monitoring 101: Understanding metric types
• GCP Sketch Notes

Security

• Solution Architecture: Identity and Access Management

Big Data

Concepts

• Things I Wished More Developers Knew About Databases

Google Cloud Storage

• Cloud Storage FUSE mounts Google Cloud Storage buckets as filesystems on Linux and Mac OS

Coding & IDEs

• Cloud Code for VS Code and IntelliJ

Networking

• Infrastructure overview

Security

Secrets Management

• Berglas: command line tool and library for storing and retrieving secrets on Google Cloud

Kubernetes

• Guide to Kubernetes Best Practices

Machine Learning (ML) & Artificial Intelligence (AI)

• Auto Data Exploration and Feature Recommendation Tool
• Whitepaper: Exploratory Data Analysis for Feature Selection in Machine Learning

Billing and cost control

• Best practices for optimizing your cloud costs
• Principles of Cost Optimization (PDF)

Sustainability

• Carbon data by GCP region
• Here's Who Has the Greenest Cloud (wired.com)

Pricing

• [Whitepaper: Understanding the principles of cost optimization] (https://services.google.com/fh/files/misc/understanding_the_principles_of_cost_optimization_2020_whitepaper_google_cloud.pdf)

Trainings

A full list of Google Cloud Trainings is here.

Specialisations

• Learning path: Data Engineering on Google Cloud | Google content | Coursera or in-person | Paid | "This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. ...[L]earn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data."

Trainings for Business Professionals

• Business Transformation with Google Cloud | Google content | Coursera | Paid | "This interactive course will empower you to understand the cloud, help you adopt an innovative mindset, map your data ecosystem, and build a high-level security program. It also offers industry examples and a step-by-step process to develop a business case to gain buy-in from your leadership."
• Machine Learning for Busienss Professionals | Google content | Coursera | Free | "This course is intended to be an introduction to machine learning for non-technical business professionals. There is a lot of hype around machine learning and many people are concerned that in order to use machine learning in business, you need to have a technical background. For reasons that are covered in this course, that's not the case. In actuality, your knowledge of your business is far more important than your ability to build an ML model from scratch."

Support

• The case of the missing DNS packets: a Google Cloud support story: an inside look into how Google Cloud's technical support engineers (TSEs) troubleshoot support cases.