Top 13 Google Cloud reference Architectures
Summary of #BuildonGCP architecture series
Published in
3 min readJun 28, 2021
đź‘‹ Hi Cloud Devs!!
Last year I created #13DaysOfGCP mini series on Twitter which you all loved. So, here I compiled 13 more common Google Cloud reference architectures. If you were not able to catch it, or if you missed a few days, here I bring to you the summary!
0: Build on GCP series intro
1: Build a streaming video analytics pipeline using Google Cloud
2: Build a ML vision analytics solution with Dataflow and Cloud Vision API on Google Cloud
3: Build HA VPN connections between Google Cloud & AWS
4: How to migrate Microsoft SQL Server from AWS to Google Cloud Compute Engine
5: How to migrate from an Oracle OLTP system to Cloud Spanner
6: How to manage infrastructure as code with Terraform, Cloud Build, & GitOps
7: End-to-end MLOps Workflow
8: How to “Serverless” on Google Cloud with Cloud Run
9: How to migrate from Snowflake to BigQuery
10: How to build a continuous delivery pipeline for GKE workloads
11: How to migrate a VM to Compute Engine
12: How to replicate data into BigQuery in real time using Datastream
13: Vertex AI overview
Those the 13 hand picked Google Cloud architectures. I am thankful and really humbled by your participation, engagement and topic suggestions that made this series so much fun, not just for me but also for the rest of the Google Cloud Community members!
Thanks again and 👋 until later 🙂
