Normalized claim
Map update precision: 90%
from 10-second map updates to one-second precision tracking
Orbx unifies real-time flight tracking and moderation with GKE, Bigtable, and BigQuery
Use case typeInfrastructure modernizationUpdated Jan 1, 2024
Orbx, a company that produces high-fidelity simulated environments, re-architected its fractured infrastructure across multiple clouds and on-premises systems to create a single data foundation for its immersive experiences. The new Google Cloud architecture supports real-time flight tracking, player inventory data, cost analysis, automated content moderation, and future productivity use cases with Gemini Enterprise and Vertex AI.
- Organization
- Orbx
- Industry
- Consumer & Food
- Location
- Australia
- Published
- January 2024
Reported outcomes
+400%
release velocityOther quantified impact
90%map update precision+100%uptime−30%cloud spend
Strategic outcomes
Speed & agilityEnabled rapid live-service updatesCustomer experience & trustImproved trust in live servicesCost efficiencyReinvested cloud savings into AI R&D
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Release velocity: 400% increase
achieved a 400% increase in release velocity
Normalized claim
Uptime: 100% increase
reaching 99.99% uptime
Normalized claim
Cloud spend: 30% decrease
reduced overall cloud spend by 30%
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Orbx
- Provider
- GCP
- Maturity
- Exploring
- Linked source
- Google Cloud Customer Story
Cloud Vision API automatically screens user-generated screenshots for offensive content, and the team is using Gemini Enterprise to summarize workflows while exploring Vertex AI for coding agents
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 4
- 1Infrastructure modernization
- 2Real-time analytics
- 3Brand safety monitoring
- Infrastructure fragmented across three cloud providers and on-prem created data silos.
- Cross-platform queries and reliable scaling were difficult for major game launches.
- The team needed a single source of truth to support real-time flight tracking and user-generated content moderation while improving reliability and release cadence.
- Orbx engaged Google Cloud partner Sakura Sky to re-architect the environment as cloud-native and automate infrastructure pipelines with Cloud Build.
- Google Kubernetes Engine provides autoscaling for heavy player demand, Cloud Bigtable ingests real-time positional data, Cloud SQL stores player inventories, and BigQuery analyzes flight costs.
- Cloud Vision API automatically screens user-generated screenshots for offensive content, and the team is using Gemini Enterprise to summarize workflows while exploring Vertex AI for coding agents.
- The platform moved from 10-second map updates to one-second precision tracking.
- Orbx achieved a 400% increase in release velocity.
- The company reached 99.99% uptime for live services.
- Overall cloud spend fell by 30%, and Orbx reinvested the savings into AI R&D.
Architecture
Cloud-native Google Cloud architecture using GKE for autoscaling, Bigtable for real-time positional data ingestion, Cloud SQL for inventories, BigQuery for cost analysis, Cloud Vision API for content screening, and Cloud Build for automated pipelines, with Gemini Enterprise and Vertex AI explored for productivity and coding agents.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jan 1, 2024Publisher: Google CloudEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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