Mountkirk Games

Mountkirk Games, a gaming company, requires a suite of Google Cloud Platform services to meet its needs for scalability, reliability, and analytics. For their case study, related services include GKE for container orchestration, Global Load Balancer for traffic distribution, Pub/Sub for messaging, Cloud Storage with gsutil for storage operations, and parallel uploads for efficiency. They use Cloud Spanner for a multi-region database, Cloud Dataflow for processing, and BigQuery for data analysis. For timeseries database needs, Bigtable is recommended. Telemetry data is managed by a pipeline using Pub/Sub to collect data, Dataflow to process it, and BigQuery for subsequent analysis.

⁠

Case Study:

Mountkirk Games⁠

⁠

Video:

Ace Your GCP Architect Exam with This Mountkirk Case Study Breakdown!⁠

⁠

Related Services:

GKE

Global Load Balancer

Pub/Sub

Cloud Storage → gsutil, parallel uploads

Cloud Spanner (Multi-region DB)

Cloud Dataflow

BigQuery

Workload Identity Federation

If there are question on

what DB to use for timeseries data? → Bigtable

Analysis of data → BigQuery

Store data → Cloud Spanner

Telemetry Data → (Pub/Sub → Dataflow → BigQuery( for analysis) )

Want to print your doc?
This is not the way.

Try clicking the ⋯ next to your doc name or using a keyboard shortcut (

CtrlP

) instead.