OrthogonalArchitecture *A framework for compute systems design* # Orthogonal Architecture Standard (OAS) ### Format Specification **Version:** 1.0 **Status:** Draft Standard **Scope:** Cloud-native compute systems and Kubernetes platforms --- # 1. Introduction *(VSM System 5 — Identity and Policy)* The Orthogonal Architecture Standard (OAS) defines a **structured format for describing modern compute systems** using a multidimensional architecture model. The standard establishes: * a consistent architecture vocabulary * a canonical set of architectural dimensions * a modeling format for systems, services, and capabilities * relationships between architecture components The goal is to enable **consistent architecture descriptions across teams and organizations**. The standard is especially suited for: * Kubernetes-based platforms * internal developer platforms * SaaS architectures * distributed systems * AI-integrated platforms --- # 2. Normative Principles *(VSM System 5 — Identity and Policy)* The Orthogonal Architecture Standard is based on the following normative principles. ### P1 Separation of Dimensions Architecture descriptions MUST separate independent perspectives into **orthogonal dimensions**. ### P2 Stable Capability Core Capabilities represent **stable system intent** and MUST be distinguished from implementation. ### P3 Control Plane Governance All configuration and operational changes MUST occur through a **control plane**. Automation and AI MUST NOT bypass governance mechanisms. ### P4 Cross-Cutting Quality Constraints Quality properties apply across all architecture layers and MUST NOT be modeled as stack layers. ### P5 Explicit Relationships Architecture elements MUST declare explicit relations with other elements. --- # 3. Architecture Meta-Model *(VSM System 3 — Internal Control)* The meta-model defines the structural components used in architecture descriptions. --- ## 3.1 Architecture An **Architecture** describes a system through: * Dimensions * Levels * Elements * Relations * Quality constraints --- ## 3.2 Dimension A **Dimension** is a classification axis used to analyze architecture. Each dimension contains **levels**. --- ## 3.3 Level A **Level** represents an ordered stratum within a dimension. Example: ``` Infrastructure → Runtime → Platform Services → Applications ``` --- ## 3.4 Element An **Element** is a concrete architectural component. Examples: * Service * API * Database * Workflow engine * Policy engine * AI component --- ## 3.5 Relation A **Relation** describes how two elements interact. Example relation types: * realizes * depends_on * composes * governs * observes * exposes --- # 4. Canonical Architecture Dimensions *(VSM System 1 — Operational Units)* The Orthogonal Architecture Standard defines **six canonical dimensions**. | Dimension | Purpose | | ------------ | ------------------------------------- | | Stack | technical hosting substrate | | Logic | functional decomposition | | Plane | operational responsibility | | Quality | cross-cutting architecture properties | | Capability | stable capability modeling | | Intelligence | degree of intelligent automation | Each architecture description MUST use these dimensions. --- # 5. Stack Dimension Specification *(VSM System 1 — Operations, System 2 — Coordination)* The Stack dimension describes the **technical substrate of the system**. --- ## S1 Infrastructure Substrate *(VSM System 1)* Defines the physical or cloud infrastructure. Examples: * cloud accounts * network foundations * compute nodes * node operating systems * container runtimes --- ## S2 Cluster Runtime *(VSM System 2 — Coordination)* Defines the orchestration runtime. Examples: * Kubernetes scheduler * service discovery * ingress * admission controllers * service mesh * operators These mechanisms coordinate workload interaction. --- ## S3 Platform Services *(VSM System 1)* Shared services supporting workloads. Examples: * databases * message brokers * caches * object storage * secret management * identity systems --- ## S4 Developer Enablement *(VSM System 4 — Adaptation)* Tools that allow system evolution. Examples: * CI/CD pipelines * developer portals * platform templates * SDKs * buildpacks --- ## S5 Workloads and Experience Endpoints *(VSM System 1)* Functional applications delivering value. Examples: * APIs * web frontends * workers * integration endpoints * administrative interfaces --- # 6. Logic Dimension Specification *(VSM System 1 — Operational Recursion)* The Logic dimension describes **functional system structure**. --- ## L1 Capability Domain *(VSM System 5 — Identity)* Defines stable functional areas. Examples: * billing * identity * catalog * order management Capabilities align with **bounded contexts**. --- ## L2 Service Realization *(VSM System 1)* Implementation of capabilities. Examples: * APIs * worker services * event processors * adapters --- ## L3 Composition and Integration *(VSM System 2 — Coordination)* Defines orchestration between services. Examples: * workflow engines * orchestration pipelines * API gateways * integration pipelines --- ## L4 Solution Layer *(VSM System 1)* End-user solutions and applications. Examples: * SaaS products * internal systems * partner solutions --- # 7. Plane Dimension Specification *(VSM Systems 2–3)* The Plane dimension defines **control and governance structure**. --- ## P1 Workload Plane *(VSM System 1)* Contains operational services and applications. --- ## P2 Control Plane *(VSM System 3 — Internal Regulation)* Maintains system state. Examples: * Kubernetes control plane * GitOps controllers * policy engines * platform APIs --- ## P3 Management Plane *(VSM System 5 — Policy & Governance)* Provides administrative interfaces. Examples: * CLI tools * web portals * automation scripts * audit reporting --- # 8. Quality Dimension Specification *(VSM Systems 3 and 3*)* Defines cross-cutting architectural qualities. --- ## Q1 Security and Compliance *(VSM System 5)* Identity, access control, compliance. --- ## Q2 Observability *(VSM System 3*)* Telemetry and monitoring. Examples: * metrics * logs * traces --- ## Q3 Operability and Resilience *(VSM System 3)* Deployment, scaling, and disaster recovery. --- ## Q4 Isolation and Tenancy *(VSM System 2)* Workload separation strategies. --- ## Q5 Performance and Scalability *(VSM System 3)* Latency, throughput, and scaling. --- ## Q6 Cost and Efficiency *(VSM System 3)* Resource optimization. --- ## Q7 Governance and Change Management *(VSM System 5)* Policies and architecture governance. --- # 9. Capability Dimension Specification *(VSM System 5 — Identity)* Defines capabilities as stable architectural units. --- ## C1 Capability Model Defines purpose, scope, ownership. --- ## C2 Capability Contract Defines interfaces: * APIs * events * SLOs --- ## C3 Capability Realization Technical implementations. Examples: * services * databases * workflows --- ## C4 Shared Platform Capabilities Platform-level services. Examples: * identity * messaging * observability --- ## C5 Business Capabilities Business functionality. Examples: * billing * onboarding * support --- # 10. Intelligence Dimension Specification *(VSM System 4 — Adaptation and Future Planning)* Defines AI-assisted system behavior. --- ## I1 Deterministic Automation Scripts and rule engines. --- ## I2 Language Interaction Natural language interfaces. --- ## I3 Knowledge and Reasoning Semantic processing and recommendation systems. --- ## I4 Assisted Adaptation AI-assisted system configuration. --- ## I5 Agentic Delegation Autonomous AI agents acting within governance policies. All AI actions MUST operate through the **control plane**. --- # 11. Canonical Element Types *(VSM System 1)* Standard element classifications: * Capability * Service * Application * Platform Service * Data Store * Control Component * Management Interface * Policy * Automation * Intelligence Component --- # 12. Canonical Relation Types *(VSM System 2)* Architecture elements MUST use defined relation types. | Relation | Meaning | | ------------ | -------------------------- | | realizes | implements capability | | depends_on | requires another element | | composes | combines multiple elements | | exposes | provides interface | | governs | enforces policy | | observes | collects telemetry | | hosted_on | runtime placement | | isolated_by | tenancy mechanism | | augmented_by | enhanced by intelligence | --- # Appendix A — VSM Perspective on Kubernetes *(Cybernetic Architecture Interpretation)* Kubernetes can be interpreted as a **cybernetic control system**. Mapping Kubernetes components to VSM: | VSM System | Kubernetes Equivalent | | ---------- | --------------------------------- | | System 1 | application pods | | System 2 | scheduler, networking | | System 3 | controllers, reconciliation loops | | System 3* | monitoring and observability | | System 4 | autoscaling and adaptive systems | | System 5 | governance and policy frameworks | --- ## Cybernetic Loop Kubernetes continuously performs: ``` observe → compare → reconcile ``` This implements Beer’s cybernetic control loop. --- ## Viability Principle The system maintains stability by balancing: * operational workloads * coordination mechanisms * governance policies * adaptive intelligence --- ## Recursion Each subsystem can itself be a viable system. Examples: * a microservice architecture * a Kubernetes cluster * a developer platform Each level can contain its own: * operations * coordination * governance * intelligence --- # Appendix B — Sources and Influences Orthogonal Architecture integrates ideas from: * Stafford Beer — Viable System Model * Viable System Model * Kubernetes architecture documentation * cloud architecture frameworks * platform engineering practices * capability-centric architecture approaches Influential work includes: * *Platform Strategy* — Gregor Hohpe * Kubernetes architecture documentation * cloud architecture frameworks (Google Cloud, AWS) * Domain-Driven Design --- # Summary The Orthogonal Architecture Standard provides a **formal modeling specification** integrating: * platform engineering * cloud architecture * capability modeling * cybernetic governance * AI integration Using VSM tagging ensures that architectures remain **viable, adaptive, and governable systems**. xxx