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Pyvider Roadmap

This document outlines planned features and future development directions for Pyvider.

Project Status: Alpha (v0.0.x) Target 1.0 Release: TBD

Legend

  • 🟢 Planned - On roadmap, not started
  • 🟡 In Progress - Active development
  • 🔴 Blocked - Waiting on dependencies
  • ✅ Completed - Available in current version

Planned CLI Commands

pyvider new 🟢

Status: Planned Target: Pre-1.0 Description: Scaffold a new provider project with recommended structure

pyvider new my-provider

This would create a new directory with: - pyproject.toml with pyvider dependency - Source directory structure (src/my_provider/) - Sample provider, resource, and data source implementations - Test structure with pytest configuration - README and documentation templates

pyvider build 🟢

Status: Planned Target: Pre-1.0 Description: Build and package provider for distribution

pyvider build --output terraform-provider-mycloud

This would: - Package the provider using Flavor - Create a distributable binary - Generate plugin metadata - Optionally sign the binary

Workaround: Currently, use python scripts/build_provider.py for building providers (see CLAUDE.md)

pyvider validate 🟢

Status: Planned Target: Post-1.0 Description: Validate provider schema and configuration

pyvider validate
pyvider validate --schema-only
pyvider validate --with-terraform

Core Framework Roadmap

1.0 Release Goals 🟡

Focus: API stability, production readiness

  • Finalize core API surface (no breaking changes post-1.0)
  • Complete protocol v6 implementation (95%+ coverage)
  • Comprehensive test coverage (>90%)
  • Performance benchmarking and optimization
  • Security audit
  • Complete documentation review
  • Migration guide from pre-1.0 versions

Estimated Timeline: Early-Mid 2026 (subject to change)

Future Feature Phases

Phase 1: Enhanced Developer Experience 🟢

Target: Pre-1.0

  • Better error messages with actionable suggestions
  • Improved type checking and validation
  • Enhanced debugging tools
  • Provider scaffolding (pyvider new)
  • Build tooling integration (pyvider build)

Phase 2: Production Hardening 🟡

Target: 1.0 Release

  • Comprehensive integration test suite
  • Performance benchmarking framework
  • Memory leak detection and prevention
  • Connection pool management
  • Resource lifecycle cleanup improvements

Phase 3: Telemetry & Monitoring Integration 🟢

Target: Post-1.0

Leverage provide.foundation's telemetry capabilities for comprehensive observability:

  • Resource Operations Monitoring
  • Track plan/apply execution time and success rates
  • Monitor read() performance for data sources

  • Track ephemeral resource lifecycle metrics

  • Provider Operations

  • Monitor provider configuration latency
  • Track initialization success/failure rates

  • Measure schema generation time

  • Function Operations

  • Track function call frequency and latency
  • Monitor validation performance

  • Measure serialization time

  • Error Telemetry

  • Automatic error rate capture by exception type
  • Error severity distribution tracking
  • Error recovery success rates

  • Correlation IDs linking errors to requests

  • Performance Monitoring

  • Handler execution metrics
  • CTY conversion performance
  • Hub operations tracking

  • P50/P95/P99 latency percentiles

  • Operational Dashboards

  • Provider health scores
  • Error rate trends
  • Resource operation success rates
  • Active gRPC connection monitoring

Phase 4: Circuit Breaker Patterns

Add resilience patterns for external API calls:

  • Circuit breaker implementation for provider operations
  • Automatic failover strategies
  • Rate limiting integration
  • Request timeout configuration
  • Retry policies with exponential backoff

Phase 5: Advanced Error Recovery Strategies

Enhanced error handling and recovery:

  • Automatic retry logic for transient failures
  • Graceful degradation patterns
  • Error context preservation across async boundaries
  • Enhanced diagnostic generation
  • Recovery state persistence

Phase 6: Distributed Tracing Support

Full distributed tracing integration:

  • OpenTelemetry integration
  • Request flow tracking across components
  • Performance bottleneck identification
  • Cross-service correlation
  • Trace sampling strategies

Phase 7: Advanced Diagnostics

Enhanced diagnostic capabilities:

  • Rich error messages with remediation suggestions
  • Interactive debugging tools
  • Provider health checks
  • Schema validation diagnostics
  • Terraform plan diff analysis

Phase 8: Performance Optimization

Optimization of critical paths:

  • Schema caching strategies
  • Connection pooling for provider clients
  • Lazy loading of components
  • Memory usage optimization
  • Parallel resource operations

Enterprise Hardening Initiatives

Resource Lifecycle & Cleanup

Prevent memory leaks and ensure graceful shutdown:

  • Proper resource cleanup on provider shutdown
  • Connection pool management
  • File handle tracking and cleanup
  • Memory leak detection and prevention
  • Graceful shutdown with timeout handling

Input Validation & Sanitization

Prevent DoS attacks and injection vulnerabilities:

  • Comprehensive input validation
  • Size limits on all inputs
  • Rate limiting on expensive operations
  • Sanitization of user-provided strings
  • Path traversal prevention

Contributing to the Roadmap

The roadmap is a living document. Priorities may shift based on: - Community feedback and use cases - Critical bugs or security issues - Terraform protocol updates - Resource constraints

Have ideas for future Pyvider features? We'd love to hear them!

  • Open an issue on GitHub with the enhancement label
  • Participate in GitHub Discussions
  • Submit a feature proposal PR to this roadmap

Last Updated: 2025-10-24 Next Review: Monthly