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Fast.BI Roadmap

Current Status & Future Plans

📊 Current Status (Q3 2025)

Infrastructure Layer

Cloud Provider Status Completion Delivery Time Notes
Google Cloud Platform ✅ Production Ready 100% 3-4 hours Full automation with Terraform/Terragrunt
Amazon Web Services 🚧 In Development 80% 2-3 days Core modules available, additional services coming
Microsoft Azure 📅 Planned 0% TBD Q4 2025 target
Oracle Cloud 📅 Planned 0% TBD Q2 2026 target
On-Premises ✅ Available 100% Flexible Manual setup, kubeconfig required

Data Services Readiness

Service Status Completion Notes
dbt Core Framework ✅ Ready 100% Full automation
Data Replication (Airbyte) ✅ Ready 100% Enhanced with Fast.BI features
Data Orchestration (Airflow) ✅ Ready 100% Enhanced with Fast.BI features
Data Governance (DataHub) 🚧 Partial 90% Manual configuration required
Data Modeling (VS Code & JupyterHub) ✅ Ready 100% Browser-based IDE
Data Catalog (DBT Docs) ✅ Ready 100% Automated documentation
Data Quality (Re_data) ✅ Ready 100% Integrated with dbt Core
CI/CD Workload Runner 🚧 Partial 70% GitLab,GitHub ready, Gitea/Bitbucket in progress
User Console (Fast.BI Flask) 🚧 Partial 80% Various functionality levels
Data Analysis (Lightdash/Superset/Metabase/Looker) 🚧 Partial 60% Lightdash,Superset ready, Metabase/Looker in progress

CI/CD Integration

Repository Provider Status Completion Notes
GitLab ✅ Ready 100% Full CI/CD automation
GitHub ✅ Ready 100% Full CI/CD automation
Gitea 🚧 In Development 70% Q4 2025 target
Bitbucket 📅 Planned 5% Q2 2026 target

🗓️ 2025 Roadmap (Remaining)

Q4 2025 (October - December)

  • October: Azure Cloud infrastructure modules development
  • November: Gitea CI/CD full readiness
  • December: Azure Cloud infrastructure modules completion

🗓️ 2026 Roadmap

Q1 2026 (January - March)

  • January: Azure Cloud full readiness
  • February: Enhanced AWS modules (RDS, S3, Route53, CloudFront)
  • March: Cross-cloud connectivity features

Q2 2026 (April - June)

  • April: Oracle Cloud infrastructure modules development
  • May: Bitbucket CI/CD full readiness
  • June: Oracle Cloud infrastructure modules completion

Q3 2026 (July - September)

  • July: Oracle Cloud full readiness
  • August: Advanced multi-cloud networking
  • September: Enhanced monitoring and observability

Q4 2026 (October - December)

  • October: Advanced security features across all clouds
  • November: Performance optimization and cost management
  • December: Year-end consolidation and documentation

🎯 Key Milestones

Infrastructure

  • Q3 2025: AWS modules 100% complete ✅
  • Q4 2025: Azure modules 100% complete
  • Q2 2026: Oracle Cloud modules 100% complete

Data Services

  • Q3 2025: All data services 100% automated ✅
  • Q4 2025: Enhanced data quality and governance
  • Q1 2026: Advanced analytics features

CI/CD & Automation

  • Q3 2025: GitHub CI/CD 100% ready ✅
  • Q4 2025: Gitea CI/CD 100% ready
  • Q2 2026: Bitbucket CI/CD 100% ready

🚀 Upcoming Features (2025-2026)

Infrastructure Focus

  • Azure Cloud Support: Complete AKS, VNet, and security modules
  • Oracle Cloud Support: OKE, VCN, and compartment management
  • Enhanced AWS Modules: RDS, S3, Route53, CloudFront, ElastiCache
  • Multi-cloud networking: Advanced cross-cloud connectivity
  • Auto-scaling: Intelligent resource management across all clouds

Data Services Enhancement

  • Enhanced Data Governance: Complete DataHub automation
  • Advanced Analytics: Predictive analytics features
  • Data Lineage: Comprehensive data tracking across all services
  • Real-time Processing: Stream processing capabilities

CI/CD & Automation

  • Gitea Integration: Complete CI/CD automation
  • Bitbucket Support: Full CI/CD pipeline integration
  • Advanced Automation: Cross-repository workflow management

📈 Success Metrics

Infrastructure (2025-2026)

  • Deployment Time: < 1 hour for GCP, < 4 hours for AWS, < 6 hours for Azure
  • Cloud Coverage: 4 major cloud providers (GCP, AWS, Azure, Oracle)
  • Uptime: Target 99.9% availability across all clouds
  • Cost Optimization: Target 30% cost reduction through intelligent resource management

Data Services (2025-2026)

  • Data Quality: Target 99.5% data accuracy
  • Service Automation: 100% automated deployment for all data services
  • Processing Speed: Target 50% faster data processing
  • User Satisfaction: Target 90% user satisfaction

🤝 Community & Feedback

We value community input in shaping our roadmap:

  • GitHub Issues: Report bugs and request features
  • GitHub Discussions: Share ideas and feedback
  • Community Forums: Join discussions and get help
  • User Surveys: Participate in user research

📞 Contact

For questions about the roadmap or to provide feedback:


Stay updated with our progress!
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