Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
17 commits
Select commit Hold shift + click to select a range
ee57c7c
Rejecting the previous orgainization model.
visionarycoder Oct 14, 2025
69c8eeb
Refactor and enhance VisionaryCoder Framework
visionarycoder Oct 14, 2025
da5b624
Compression before expansion.
visionarycoder Oct 15, 2025
a10b2e9
Optimizing to better fit MS standards.
visionarycoder Oct 17, 2025
362aa37
Add Secure File System Services with secret integration
visionarycoder Oct 17, 2025
56d73ee
Add comprehensive unit tests for ReflectionExtensions and TypeExtensions
visionarycoder Oct 24, 2025
fdd0c85
Initial plan
Copilot Oct 24, 2025
521ebdd
Fix compilation errors in Proxy project to enable testing
Copilot Oct 24, 2025
edfa9c2
Add unit tests for LogHelper and ServiceBase classes
visionarycoder Oct 24, 2025
b054290
Add unit tests for pagination and querying functionality
visionarycoder Oct 24, 2025
64ffd02
Add comprehensive unit tests for RequestIdProvider, QueryFilterExtens…
visionarycoder Oct 24, 2025
67dd767
Add unit tests for caching and correlation ID generation
visionarycoder Oct 24, 2025
85e430c
Add comprehensive unit tests for Proxy framework components
visionarycoder Oct 24, 2025
1222f07
Add unit tests for various interceptors in the proxy framework
visionarycoder Oct 24, 2025
453004c
Add comprehensive unit tests for StorageImplementation and StorageSer…
visionarycoder Oct 29, 2025
ee88630
Add QueryFilter serialization, validation, and diagram support
visionarycoder Oct 29, 2025
9fa67f7
Add QueryFilterInterceptor implementation and associated tests
visionarycoder Oct 29, 2025
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
The table of contents is too big for display.
Diff view
Diff view
  •  
  •  
  •  
42 changes: 42 additions & 0 deletions .best-practices/cloud-architecture/ReadMe.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
# Cloud Architecture Best Practices

## 1. Purpose
Deliver scalable, resilient, and cost-effective solutions in cloud environments.

## 2. Core Principles
- Design for failure
- Automate everything
- Use managed services where possible
- Optimize for cost and performance

## 3. Industry Standards & Frameworks
- AWS Well-Architected Framework
- Azure Cloud Adoption Framework
- Google Cloud Architecture Framework

## 4. Common Patterns
- Multi-region deployments
- Hybrid cloud
- Event-driven serverless

## 5. Anti-Patterns to Avoid
- Lift-and-shift without modernization
- Overprovisioning resources
- Ignoring shared responsibility model

## 6. Tooling & Ecosystem
- Terraform, Bicep, Pulumi
- Kubernetes, Service Mesh
- Cloud-native monitoring tools

## 7. Emerging Trends
- FinOps
- Sustainability-aware workloads
- Cloud-native AI services

## 8. Architecture Decision Guidance
- Choose multi-cloud only if business/regulatory needs demand it.
- Balance managed services vs. portability.

## 9. References
- [Azure CAF](https://learn.microsoft.com/azure/cloud-adoption-framework/)
42 changes: 42 additions & 0 deletions .best-practices/data-analytics/ReadMe.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
# Data & Analytics Best Practices

## 1. Purpose
Enable data-driven decision-making and advanced analytics.

## 2. Core Principles
- Treat data as a product
- Ensure data quality and lineage
- Secure data at rest and in motion
- Enable self-service analytics

## 3. Industry Standards & Frameworks
- Data Mesh
- DAMA-DMBOK
- FAIR data principles

## 4. Common Patterns
- Data lakehouse
- Event streaming pipelines
- ELT with dbt

## 5. Anti-Patterns to Avoid
- Data silos
- ETL sprawl
- Ignoring governance

## 6. Tooling & Ecosystem
- Kafka, Pulsar
- Snowflake, BigQuery, Synapse
- dbt, Airflow

## 7. Emerging Trends
- Real-time analytics
- AI/ML integration
- Data contracts

## 8. Architecture Decision Guidance
- Use data mesh when scaling across domains.
- Balance central governance with federated ownership.

## 9. References
- [Data Mesh Principles](https://martinfowler.com/articles/data-mesh-principles.html)
42 changes: 42 additions & 0 deletions .best-practices/devops/ReadMe.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
# DevOps & Platform Engineering Best Practices

## 1. Purpose
Enable rapid, reliable, and repeatable delivery of software.

## 2. Core Principles
- Everything as code
- Continuous feedback loops
- Shift-left testing and security
- Immutable infrastructure

## 3. Industry Standards & Frameworks
- CALMS model
- GitOps
- SRE principles

## 4. Common Patterns
- CI/CD pipelines
- Blue/green and canary deployments
- Infrastructure as Code

## 5. Anti-Patterns to Avoid
- Manual deployments
- Snowflake servers
- Over-reliance on scripts without version control

## 6. Tooling & Ecosystem
- GitHub Actions, Azure DevOps, Jenkins
- ArgoCD, Flux
- Prometheus, Grafana

## 7. Emerging Trends
- Platform engineering teams
- Internal developer platforms (IDPs)
- Policy-as-code

## 8. Architecture Decision Guidance
- Standardize pipelines across teams.
- Invest in developer experience (DX).

## 9. References
- [Google SRE Book](https://sre.google/books/)
42 changes: 42 additions & 0 deletions .best-practices/integration/ReadMe.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
# Integration & APIs Best Practices

## 1. Purpose
Enable interoperability and composability across systems.

## 2. Core Principles
- API-first design
- Loose coupling
- Backward compatibility
- Contract-first development

## 3. Industry Standards & Frameworks
- OpenAPI/Swagger
- AsyncAPI
- GraphQL spec

## 4. Common Patterns
- API Gateway
- Event-driven integration
- CQRS

## 5. Anti-Patterns to Avoid
- Point-to-point spaghetti integrations
- Breaking API changes without versioning
- Overloading APIs with business logic

## 6. Tooling & Ecosystem
- Kong, Apigee, Azure API Management
- Kafka, RabbitMQ
- GraphQL servers

## 7. Emerging Trends
- API monetization
- Event mesh
- gRPC adoption

## 8. Architecture Decision Guidance
- Use REST for broad compatibility, gRPC for high-performance internal services.
- Favor async messaging for decoupling.

## 9. References
- [AsyncAPI Initiative](https://www.asyncapi.com/)
42 changes: 42 additions & 0 deletions .best-practices/observability/ReadMe.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
# Observability Best Practices

## 1. Purpose
Provide visibility into system health, performance, and reliability.

## 2. Core Principles
- Instrument everything
- Correlate logs, metrics, and traces
- Automate alerting and remediation
- Design for failure detection

## 3. Industry Standards & Frameworks
- OpenTelemetry
- SRE golden signals
- ITIL incident management

## 4. Common Patterns
- Centralized logging
- Distributed tracing
- Metrics dashboards

## 5. Anti-Patterns to Avoid
- Alert fatigue
- Logging without structure
- Monitoring only infrastructure, not business KPIs

## 6. Tooling & Ecosystem
- Prometheus, Grafana
- ELK/EFK stack
- Jaeger, Zipkin

## 7. Emerging Trends
- AIOps
- Continuous profiling
- Observability-as-code

## 8. Architecture Decision Guidance
- Define SLIs, SLOs, SLAs early.
- Balance observability depth with cost.

## 9. References
- [OpenTelemetry](https://opentelemetry.io/)
121 changes: 121 additions & 0 deletions .best-practices/radar.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,121 @@
# Solution Architect Radar (2025 Q4)

This radar provides a maturity view of industry best practices across specialties.
Use it to guide adoption, trials, and assessments, while avoiding outdated practices.

---

## Quadrant View

### ADOPT
- **Software Architecture**: VBD, DDD, Clean/Hexagonal Architecture, ADRs
- **Security**: Zero Trust, OWASP Top 10, centralized secrets management
- **Cloud**: Managed services, IaC (Terraform/Bicep)
- **DevOps**: GitOps, CI/CD pipelines, immutable infrastructure
- **Data**: Lakehouse, ELT with dbt, event streaming
- **Integration**: API-first, OpenAPI/AsyncAPI, backward-compatible versioning
- **Observability**: OpenTelemetry, SRE golden signals

### TRIAL
- **Software Architecture**: Event Sourcing, CQRS
- **Security**: Confidential computing, automated threat modeling
- **Cloud**: Serverless-first, multi-cloud portability frameworks
- **DevOps**: Internal Developer Platforms (IDPs), policy-as-code
- **Data**: Data mesh, real-time analytics
- **Integration**: GraphQL, gRPC
- **Observability**: Observability-as-code, continuous profiling

### ASSESS
- **Software Architecture**: AI-assisted validation, WASM backends
- **Security**: Post-quantum cryptography, AI-driven anomaly detection
- **Cloud**: Sustainability-aware workload placement
- **DevOps**: AI-driven pipeline optimization
- **Data**: Data contracts, AI-native governance
- **Integration**: Event mesh, API monetization
- **Observability**: AIOps-driven remediation, business KPI observability

### HOLD
- **Software Architecture**: Big Ball of Mud, God classes
- **Security**: Hardcoded secrets, perimeter-only defenses
- **Cloud**: Lift-and-shift without modernization
- **DevOps**: Manual deployments, snowflake servers
- **Data**: ETL sprawl, unmanaged silos
- **Integration**: Point-to-point spaghetti integrations
- **Observability**: Infra-only monitoring, unstructured logs

---

## Visual Radar (Mermaid)

```mermaid
flowchart LR
subgraph Q1 [ADOPT]
QA1[Software Architecture: DDD, Clean/Hexagonal, ADRs]
QA2[Security: Zero Trust, OWASP Top 10, Secrets mgmt]
QA3[Cloud: Managed services, IaC]
QA4[DevOps: GitOps, CI/CD, Immutable infra]
QA5[Data: Lakehouse, ELT with dbt, Event streaming]
QA6[Integration: API-first, OpenAPI/AsyncAPI, Versioning]
QA7[Observability: OpenTelemetry, SRE golden signals]
end

subgraph Q2 [TRIAL]
QT1[Software Architecture: Event Sourcing, CQRS]
QT2[Security: Confidential computing, Threat modeling automation]
QT3[Cloud: Serverless-first, Multi-cloud portability]
QT4[DevOps: IDPs, Policy-as-code]
QT5[Data: Data mesh, Real-time analytics]
QT6[Integration: GraphQL, gRPC]
QT7[Observability: Observability-as-code, Continuous profiling]
end

subgraph Q3 [ASSESS]
QS1[Software Architecture: AI-assisted validation, WASM backends]
QS2[Security: Post-quantum crypto, AI anomaly detection]
QS3[Cloud: Sustainability-aware placement]
QS4[DevOps: AI-driven pipeline optimization]
QS5[Data: Data contracts, AI-native governance]
QS6[Integration: Event mesh, API monetization]
QS7[Observability: AIOps remediation, Business KPI obs]
end

subgraph Q4 [HOLD]
QH1[Software Architecture: Big Ball of Mud, God classes]
QH2[Security: Hardcoded secrets, Perimeter-only]
QH3[Cloud: Lift-and-shift w/o modernization]
QH4[DevOps: Manual deployments, Snowflake servers]
QH5[Data: ETL sprawl, Unmanaged silos]
QH6[Integration: Point-to-point spaghetti, Breaking changes]
QH7[Observability: Infra-only metrics, Unstructured logs]
end

class Q1 adopt;
classDef adopt fill='#b7f5c7',stroke='#2f7',stroke-width='1px',color='#000';

class Q2 trial;
classDef trial fill='#cbe8ff',stroke='#39f',stroke-width='1px',color='#000';

class Q3 assess;
classDef assess fill='#fff1a8',stroke='#fc3',stroke-width='1px',color='#000';

class Q4 hold;
classDef hold fill='#ffc2c2',stroke='#f55',stroke-width='1px',color='#000';

```
---
## Related Governance Docs
- [Branching Strategy Playbook](branching-strategy.md)
- [Quarterly Radar Review Checklist](quarterly-radar-review.md)
- [ADR Index](../architecture-decision-records/index.md)


## Capsules
Each specialty has a dedicated capsule with detailed best practices:

- [Software Architecture](./software-architecture/README.md)
- [Security](./security/README.md)
- [Cloud Architecture](./cloud-architecture/README.md)
- [DevOps & Platform Engineering](./devops/README.md)
- [Data & Analytics](./data-analytics/README.md)
- [Integration & APIs](./integration/README.md)
- [Observability](./observability/README.md)
42 changes: 42 additions & 0 deletions .best-practices/security/ReadMe.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
# Security Best Practices

## 1. Purpose
Protect confidentiality, integrity, and availability of systems.

## 2. Core Principles
- Zero Trust by default
- Defense in depth
- Least privilege access
- Encrypt everywhere

## 3. Industry Standards & Frameworks
- OWASP Top 10
- NIST Cybersecurity Framework
- ISO 27001

## 4. Common Patterns
- Centralized secrets management
- API Gateway with JWT validation
- Network segmentation

## 5. Anti-Patterns to Avoid
- Hardcoded secrets
- Flat networks
- Security as an afterthought

## 6. Tooling & Ecosystem
- Azure Key Vault, AWS KMS
- SAST/DAST tools
- SIEM platforms

## 7. Emerging Trends
- Confidential computing
- Post-quantum cryptography
- AI-driven threat detection

## 8. Architecture Decision Guidance
- Engage security architects for regulated workloads.
- Automate security checks in CI/CD.

## 9. References
- [OWASP Foundation](https://owasp.org)
Loading