Build architecture on Google Cloud Platform with services like BigQuery, Cloud Storage, Cloud Functions, Data flow, and other tools that differentiate GCP as a cloud provider.
What You'll Learn
- Setup and networking configuration with Compute Engine.
- Deploying and interacting with cost-effective serverless functions.
- Developing managed applications via App Engine.
- Integrating applications with the BigQuery data warehouse programmatically.
- How to use the Google Cloud Storage SDK to store and serve assets as an alternative to S3 & boto3.
For those who...
- Considering cloud providers or weighing the benefits of "multi-cloud."
- Are current GCP customers looking to get the most out of their provider.
- Anybody looking to have fun with GCP's $500 credit for new customers.
1
Create a VPS with Google Cloud: Introducing Compute Engine
Compare the advantages of Google's Compute Engine to other cloud providers.
7 min read
2
Cloud SQL: Relational Databases on Google Cloud
Create a database in Google Cloud using Cloud SQL, compare Cloud SQL to RDS, and learn the admin API.
6 min read
3
Working With Google Cloud Functions
GCP scores a victory by trivializing serverless functions.
6 min read
4
Deploy Isolated Applications with Google App Engine
Doing everything to avoid server configuration or any mild discomfort.
5 min read
5
Manage Files in Google Cloud Storage With Python
Manage files programmatically in your Google Cloud Storage bucket using the `google-cloud-storage` Python library.
8 min read
6
Create Google BigQuery Tables via the Python SDK
Use Google Cloud's Python SDK to insert large datasets into Google BigQuery, enjoy the benefits of schema detection, and manipulating data programmatically.
11 min read
