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azlin Feature Roadmap 2025-2026

Version: 2.0.0 → 3.0.0 Updated: October 17, 2025

Executive Summary

This roadmap outlines the evolution of azlin from a single-VM provisioning tool to a comprehensive Azure development fleet platform with shared storage, distributed workflows, and advanced coordination features.

Primary Strategic Initiative: Enable multi-VM distributed development workflows through shared network storage (Azure Files NFS).

Phase 1: Shared Storage Foundation (Q4 2025) 🔥 HIGH PRIORITY

Goal: Enable multiple VMs to share home directories via Azure Files NFS.

1.1 Core Storage Management

Epic: Basic Azure Files NFS integration Effort: 3 weeks Value: HIGH - Enables all subsequent distributed features

Commands:

azlin storage create <name> [--tier Premium|Standard] [--size 1TB]
azlin storage list
azlin storage status <name>
azlin storage delete <name>

Implementation:

  • Create Storage Account with NFS v4.1
  • Configure VNet integration
  • Generate mount scripts
  • Add to cloud-init templates
  • Update cost tracking

Deliverables:

  • storage_manager.py module
  • Storage command group in CLI
  • Unit and integration tests
  • Documentation with examples

1.2 VM-Storage Integration

Epic: Provision VMs with shared storage Effort: 2 weeks Value: HIGH - Core user-facing feature

Commands:

azlin new --shared-home <storage-name>
azlin storage attach <storage-name> --vm <vm-name>
azlin storage detach --vm <vm-name>

Implementation:

  • Modify vm_provisioning.py cloud-init
  • Add NFS mount to /home/azureuser
  • Handle mount failures gracefully
  • Ensure UID/GID consistency

Deliverables:

  • Updated provisioning flow
  • Mount configuration templates
  • E2E tests for multi-VM scenarios
  • Troubleshooting guide

1.3 Hybrid Storage Modes

Epic: Selective shared/local mounts Effort: 2 weeks Value: MEDIUM - Performance optimization

Commands:

azlin new --shared-mounts projects:shared-dev,data:shared-data
azlin storage mount <storage-name> --vm <vm> --path ~/projects
azlin storage unmount --vm <vm> --path ~/projects

Implementation:

  • Support multiple mount points
  • Keep .cache, build/ local for performance
  • Add mount_manager.py module
  • Document best practices

Deliverables:

  • Flexible mount configuration
  • Performance guidelines
  • Example configurations
  • Migration guide (full shared → hybrid)

1.4 Storage Templates

Epic: Pre-configured storage layouts Effort: 1 week Value: MEDIUM - Improved UX

Built-in Templates:

  • ml-training: Large data mount, local cache
  • ci-runner: Shared build cache, local workspace
  • dev-team: Shared projects, local config
  • testing: Shared test data, local results

Commands:

azlin new --storage-template ml-training
azlin storage templates
azlin storage template create <name> --shared <paths> --local <paths>

Deliverables:

  • Template definitions
  • Template documentation
  • Custom template support
  • Migration between templates

Phase 1 Total: 8 weeks Release: azlin v2.1.0 with Shared Storage

Phase 2: Fleet Coordination (Q1 2026) 🚀 MEDIUM PRIORITY

Goal: Advanced multi-VM orchestration and state management.

2.1 Distributed Command Execution

Epic: Coordinated fleet operations Effort: 2 weeks Value: HIGH - Enables distributed workflows

Commands:

azlin fleet exec --sync "python train.py"          # Start together
azlin fleet exec --sequential "npm test"           # One at a time
azlin fleet exec --aggregate "pytest --json"       # Collect results
azlin fleet exec --with-leader "python coordinator.py"

Implementation:

  • Synchronization primitives (using shared storage locks)
  • Leader election mechanism
  • Result aggregation framework
  • Progress tracking across fleet

Deliverables:

  • fleet_coordinator.py module
  • Distributed locking utilities
  • Examples: distributed testing, parallel training

2.2 Fleet State Management

Epic: Manage VMs as cohesive fleets Effort: 2 weeks Value: HIGH - Organizational improvement

Commands:

azlin fleet create <name> --size 5
azlin fleet list
azlin fleet start/stop/restart <name>
azlin fleet env set <name> VAR=value
azlin fleet snapshot <name>

Implementation:

  • Fleet metadata storage (in config)
  • Bulk operations on fleet members
  • Fleet-wide environment variables
  • Coordinated start/stop

Deliverables:

  • fleet_manager.py module
  • Fleet configuration schema
  • Fleet tagging and discovery
  • Documentation

2.3 Load Balancer Integration

Epic: Expose fleet as load-balanced service Effort: 2 weeks Value: MEDIUM - Web service support

Commands:

azlin fleet create web-servers --size 3 --load-balancer
azlin lb status <fleet-name>
azlin lb health-check <fleet> --path /health --port 8080
azlin lb add-backend <fleet> <vm-name>
azlin lb remove-backend <fleet> <vm-name>

Implementation:

  • Azure Load Balancer creation
  • Backend pool management
  • Health probe configuration
  • Auto-registration of VMs

Deliverables:

  • load_balancer.py module
  • Health check templates
  • Web service examples
  • Load testing guide

Phase 2 Total: 6 weeks Release: azlin v2.2.0 with Fleet Management

Phase 3: Developer Experience (Q2 2026) 🎯 MEDIUM PRIORITY

Goal: Enhanced developer workflows and specialized VM types.

3.1 GPU VM Support

Epic: First-class GPU VM support Effort: 2 weeks Value: HIGH - ML/AI workflows

Commands:

azlin new --gpu [--vm-size Standard_NC6s_v3]
azlin gpu status <vm-name>
azlin gpu monitor <vm-name> [--interval 5s]
azlin gpu cost <vm-name>

Implementation:

  • NVIDIA driver installation
  • CUDA toolkit setup
  • GPU metrics collection
  • Cost optimization (auto-stop)

Deliverables:

  • GPU provisioning templates
  • Driver installation scripts
  • Monitoring dashboard
  • ML framework examples (PyTorch, TensorFlow)

3.2 Jupyter Notebook Integration

Epic: Automated Jupyter setup Effort: 1 week Value: MEDIUM - Data science workflows

Commands:

azlin new --jupyter [--port 8888]
azlin jupyter connect <vm-name>  # Opens browser
azlin jupyter config <vm-name> --password
azlin jupyter token <vm-name>

Implementation:

  • JupyterLab installation
  • HTTPS with self-signed cert
  • SSH tunnel automation
  • Browser auto-launch

Deliverables:

  • Jupyter provisioning module
  • Connection utilities
  • Security configuration
  • Example notebooks

3.3 Dev Container Support

Epic: VS Code dev containers on Azure VMs Effort: 2 weeks Value: MEDIUM - Modern dev workflows

Commands:

azlin new --dev-container --repo <github-url>
azlin dev-container list <vm-name>
azlin dev-container rebuild <vm-name>

Implementation:

  • Parse devcontainer.json
  • Docker/Podman container setup
  • Mount shared storage into containers
  • VS Code Remote-SSH integration

Deliverables:

  • Dev container provisioning
  • Volume mount configuration
  • VS Code integration guide
  • Example dev containers

Phase 3 Total: 5 weeks Release: azlin v2.3.0 with Developer Features

Phase 4: Operations & Observability (Q3 2026) 📊 MEDIUM PRIORITY

Goal: Production-grade monitoring, logging, and backup.

4.1 Centralized Logging

Epic: Fleet-wide log aggregation Effort: 2 weeks Value: HIGH - Operations visibility

Commands:

azlin logs enable --fleet <name> --workspace <log-analytics>
azlin logs search "error" --fleet <name> [--since 1h]
azlin logs tail --fleet <name> [--follow]
azlin logs alert "out of memory" --email admin@example.com

Implementation:

  • Azure Log Analytics integration
  • Log forwarding agents
  • Query interface
  • Alert configuration

Deliverables:

  • Logging infrastructure setup
  • Query examples
  • Alert templates
  • Troubleshooting playbooks

4.2 Performance Metrics

Epic: VM and application monitoring Effort: 2 weeks Value: MEDIUM - Performance insights

Commands:

azlin metrics <vm-name> [--since 1h]
azlin metrics --fleet <name>
azlin metrics export <vm-name> metrics.csv
azlin analyze <vm-name>  # Get recommendations

Implementation:

  • Azure Monitor integration
  • Custom metrics collection
  • Performance baselines
  • Recommendation engine

Deliverables:

  • Metrics collection setup
  • Visualization examples
  • Performance analysis tools
  • Optimization guide

4.3 Backup & Disaster Recovery

Epic: Automated backup workflows Effort: 2 weeks Value: HIGH - Data protection

Commands:

azlin backup schedule <vm> --daily --retain 7
azlin backup list <vm>
azlin backup restore <vm> --from <backup-id>
azlin backup replicate <vm> --to <region>

Implementation:

  • Scheduled snapshot creation
  • Backup retention policies
  • Cross-region replication
  • One-click recovery

Deliverables:

  • Backup automation
  • Recovery procedures
  • DR testing guide
  • Compliance documentation

Phase 4 Total: 6 weeks Release: azlin v2.4.0 with Ops Features

Phase 5: Cost Optimization (Q4 2026) 💰 LOW PRIORITY

Goal: Intelligent cost management and scaling.

5.1 Auto-Scaling

Epic: Dynamic fleet scaling Effort: 3 weeks Value: HIGH - Cost savings

Commands:

azlin autoscale enable <fleet> --min 2 --max 10 --target-cpu 70
azlin autoscale schedule <fleet> --weekdays-only --hours 9-17
azlin autoscale disable <fleet>

Implementation:

  • Metric-based scaling
  • Schedule-based scaling
  • Azure VM Scale Sets integration
  • Cost/performance tradeoffs

Deliverables:

  • Auto-scaling policies
  • Scheduling templates
  • Cost impact analysis
  • Best practices guide

5.2 Spot Instance Support

Epic: Low-cost VMs with Spot instances Effort: 2 weeks Value: MEDIUM - 70-90% cost savings

Commands:

azlin new --spot --max-price 0.10
azlin spot status <vm-name>
azlin spot history --region westus2

Implementation:

  • Azure Spot VM integration
  • Eviction handling
  • Checkpoint/restart logic
  • Price monitoring

Deliverables:

  • Spot provisioning
  • Eviction handlers
  • Pricing analytics
  • Fault-tolerant workflows

5.3 Cost Alerts & Budgets

Epic: Proactive cost management Effort: 1 week Value: MEDIUM - Budget control

Commands:

azlin budget set 500 --per-month --alert-at 80%
azlin cost trends --last-30-days
azlin cost optimize  # Get suggestions

Implementation:

  • Azure Cost Management API
  • Budget tracking
  • Anomaly detection
  • Optimization recommendations

Deliverables:

  • Budget configuration
  • Cost dashboards
  • Optimization reports
  • Savings calculator

Phase 5 Total: 6 weeks Release: azlin v2.5.0 with Cost Management

Phase 6: Security & Compliance (Q1 2027) 🔒 LOW PRIORITY

Goal: Enterprise security and compliance features.

6.1 Security Hardening

Epic: Automated security baseline Effort: 2 weeks Value: HIGH - Security posture

Commands:

azlin security harden <vm-name>
azlin security audit <vm-name>
azlin security status <vm-name>
azlin security report --fleet <name>

Implementation:

  • CIS benchmark compliance
  • Automatic security updates
  • Vulnerability scanning
  • Security configuration

Deliverables:

  • Hardening playbooks
  • Audit reports
  • Compliance templates
  • Security best practices

6.2 Secrets Management

Epic: Azure Key Vault integration Effort: 2 weeks Value: MEDIUM - Credential security

Commands:

azlin secret set <vm> DATABASE_URL "postgres://..."
azlin secret list <vm>
azlin secret rotate <vm> API_KEY
azlin secret audit <vm>

Implementation:

  • Key Vault integration
  • Managed identity authentication
  • Secret injection as env vars
  • Automatic rotation

Deliverables:

  • Secret management module
  • Rotation policies
  • Audit logging
  • Integration examples

6.3 Compliance Reporting

Epic: Automated compliance checks Effort: 1 week Value: LOW - Enterprise requirements

Commands:

azlin compliance check <vm> --standard SOC2
azlin compliance report --fleet <name> --format pdf
azlin compliance export --to <path>

Implementation:

  • Compliance frameworks (SOC2, HIPAA, PCI-DSS)
  • Evidence collection
  • Report generation
  • Continuous monitoring

Deliverables:

  • Compliance checker
  • Report templates
  • Evidence archive
  • Certification guide

Phase 6 Total: 5 weeks Release: azlin v3.0.0 - Enterprise Edition

Feature Priority Matrix

Feature User Value Technical Complexity Strategic Importance Priority
Shared Storage 🔥 Critical ⭐⭐⭐ Medium 🎯 High P0
Fleet Management 🔥 High ⭐⭐⭐ Medium 🎯 High P1
GPU Support 🔥 High ⭐⭐ Low 🎯 Medium P1
Centralized Logging 🔥 High ⭐⭐⭐⭐ High 🎯 Medium P2
Auto-Scaling 🔥 High ⭐⭐⭐⭐ High 🎯 High P2
Jupyter Integration 🔥 Medium ⭐⭐ Low 🎯 Low P2
Dev Containers 🔥 Medium ⭐⭐⭐ Medium 🎯 Medium P2
Load Balancer 🔥 Medium ⭐⭐⭐ Medium 🎯 Low P3
Backup/DR 🔥 High ⭐⭐⭐ Medium 🎯 Medium P3
Security Hardening 🔥 High ⭐⭐⭐ Medium 🎯 High P3
Spot Instances 🔥 Medium ⭐⭐⭐ Medium 🎯 Medium P4
Secrets Management 🔥 Medium ⭐⭐ Low 🎯 Medium P4

Release Schedule

Oct 2025  ├─ Start Phase 1: Shared Storage
          │
Dec 2025  ├─ v2.1.0 Release: Shared Storage
          │
Jan 2026  ├─ Start Phase 2: Fleet Management
          │
Feb 2026  ├─ v2.2.0 Release: Fleet Management
          │
Mar 2026  ├─ Start Phase 3: Developer Features
          │
May 2026  ├─ v2.3.0 Release: GPU, Jupyter, Dev Containers
          │
Jun 2026  ├─ Start Phase 4: Ops & Observability
          │
Aug 2026  ├─ v2.4.0 Release: Logging, Metrics, Backup
          │
Sep 2026  ├─ Start Phase 5: Cost Optimization
          │
Nov 2026  ├─ v2.5.0 Release: Auto-Scaling, Spot, Budgets
          │
Dec 2026  ├─ Start Phase 6: Security & Compliance
          │
Feb 2027  └─ v3.0.0 Release: Enterprise Edition

Success Metrics

Phase 1 (Shared Storage)

  • ✅ 90% of users can provision shared storage in <5 minutes
  • ✅ Multi-VM workflows show 50% reduction in setup time
  • ✅ NFS performance meets 90% of local disk performance

Phase 2 (Fleet Management)

  • ✅ Fleet operations support 10+ VMs without manual intervention
  • ✅ Coordinated execution reduces testing time by 60%
  • ✅ Load balancer setup automated in <2 minutes

Phase 3 (Developer Features)

  • ✅ GPU VMs provision with drivers in <8 minutes
  • ✅ Jupyter access available in <3 minutes
  • ✅ Dev container adoption by 30% of users

Phase 4 (Operations)

  • ✅ Log aggregation covers 100% of fleet
  • ✅ Backup recovery time <15 minutes
  • ✅ Performance recommendations improve VM efficiency by 20%

Phase 5 (Cost)

  • ✅ Auto-scaling reduces costs by 40% on average
  • ✅ Spot instances adopted by 50% of non-critical workloads
  • ✅ Budget alerts prevent 90% of cost overruns

Phase 6 (Security)

  • ✅ 100% of VMs pass security audit baseline
  • ✅ Secrets management eliminates exposed credentials
  • ✅ Compliance reports automated for enterprise users

Implementation Guidelines

For Each Feature

  1. Design Document: Write detailed design (similar to DESIGN.md)
  2. Tests First: Unit tests before implementation (TDD)
  3. Documentation: Update README, add examples
  4. Integration: Test with existing features
  5. Performance: Benchmark before/after
  6. Security Review: Check for vulnerabilities
  7. User Testing: Beta test with real workflows

Code Quality Standards

  • ✅ Type hints on all functions
  • ✅ Unit test coverage >80%
  • ✅ Integration tests for user flows
  • ✅ Pre-commit hooks pass
  • ✅ Documentation includes examples
  • ✅ Error handling comprehensive

Release Checklist

  • All tests passing
  • Documentation updated
  • Changelog written
  • Migration guide (if breaking changes)
  • Performance benchmarks
  • Security review complete
  • Beta testing feedback incorporated
  • Release notes published

Risk Assessment

Technical Risks

  1. NFS Performance: May not meet user expectations

    • Mitigation: Benchmark early, offer hybrid mode

  2. Azure API Rate Limits: Fleet operations may hit limits

    • Mitigation: Implement exponential backoff, batch operations

  3. Complexity Growth: Adding features increases maintenance burden

    • Mitigation: Keep modules independent, comprehensive testing

Market Risks

  1. Azure Pricing Changes: Storage costs could increase

    • Mitigation: Support multiple tiers, cost optimization features

  2. Competing Solutions: Microsoft may release similar tool

    • Mitigation: Focus on developer UX, differentiate with fleet management

Operational Risks

  1. Support Load: More features = more support requests

    • Mitigation: Comprehensive documentation, troubleshooting guides

  2. Backwards Compatibility: Breaking changes frustrate users

    • Mitigation: Semantic versioning, deprecation warnings, migration guides

Conclusion

This roadmap transforms azlin from a single-VM provisioning tool into a comprehensive Azure development fleet platform. The shared storage features (Phase 1) are the critical foundation enabling all subsequent distributed workflow capabilities.

Recommended Action: Begin Phase 1 implementation immediately. The shared storage feature is highly feasible (using Azure Files NFS), provides high user value, and enables the strategic vision for azlin as a fleet management platform.

Estimated Timeline: 18 months to complete all phases Total Effort: ~36 weeks of development Expected Outcome: azlin v3.0.0 Enterprise Edition

Roadmap created on October 17, 2025 Next Review: January 2026