Magellan on Google Cloud Platform
2 likes1,545 views
The document outlines the capabilities of Tomoyuki Chikanaga's Groovenauts, Inc. regarding their mobile application platform and various functionalities associated with Google Cloud services. It highlights features like high availability, quick deployment, and interoperability through the use of Google Compute Engine, BigQuery, and other tools. Additionally, it emphasizes the cost performance and scalable querying of BigQuery for resource usage and activity analysis.
Magellan on Google Cloud Platform
- 2. - Game Server - Mobile Application Platform
- 3. - Mobile Application Platform - High Volume Transaction - High Availability
- 4. - Application Plaform - Docker Container - Multi Stage - Multi Protocol - HTTP(S) - HTTP/2 - MQTT - and more...
- 7. on
- 8. Compute Engine BigQuery Cloud Storage Cloud DNS Cloud Dataflow Cloud SQL
- 9. Compute Engine BigQuery Cloud Storage Cloud DNS Cloud Dataflow Cloud SQL
- 10. - Quick Deployment - Interoperability - High Availability - Developer Friendly API Google Compute Engine
- 11. - Quick Deployment - Create Instance 〜 30sec - Enough for scale out in mild trafic peak - AppEngine is the best solution for rapid trafic peak… Google Compute Engine
- 12. - Interoperability - scope for Google Cloud API - compute_engine(read, read/write) - storage(read, write, read/write) - bigquery - cloudsql Google Compute Engine
- 13. - High Availability - Live Migration Google Compute Engine
- 14. - Your System must be redundant Google Compute Engine
- 15. - Developer Friendly API - Web Console - Every operation has it’s equivalent of REST API or command line - REST API (Client Libraries) - google-client-ruby-api(ruby) - Ansible+libcloud(python) - etc... - SDK (command line tool) - gcloud - bq Google Compute Engine
- 16. Google BigQuery - Log Aggregation - Easy to Streaming Insert - Incredibly Scalable Query - High Cost Performance
- 17. Google BigQuery - Log Aggregation - Resouce Usage Analysis - Activity Analysis - Accounting - Easy to streaming insert - fluentd (fluent-plugin-bigquery) - Incredibly Scalable Query - Almost Constant Response Time
- 18. Google BigQuery - High Cost Performance - Storage Cost - BigQuery < GCS < AWS S3 - Import/Export - Free - Streaming Insert - $0.01 per 100,000 rows - Query - Depends on processed data volume
- 19. on