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Zelvoryqa Architecture Overview

1. Purpose

This document provides a high-level architectural overview of the Zelvoryqa platform.

It describes how the platform is structured to achieve the goals defined in the Zelvoryqa Goals and how the major components interact.

Zelvoryqa is designed as a multi-tenant SaaS platform in which multiple independent organizations can use shared platform capabilities while maintaining clear logical isolation of their users, data, configuration, permissions, events, analytics, and operational activity.

The architecture is designed around:

  • Business capability boundaries
  • Multi-tenant SaaS operation
  • Tenant isolation
  • Independently deployable services
  • API-first communication
  • Event-driven integration
  • Explicit service data ownership
  • Organization-aware authorization
  • Cloud-native infrastructure
  • Resilience and independent recovery
  • Observable operations
  • Secure-by-default practices
  • Infrastructure automation
  • Portability across environments and cloud providers

This document establishes the architectural direction for Zelvoryqa.

Specific technology selections, implementation details, and significant architectural decisions are documented separately through Architecture Decision Records (ADRs).

2. Architectural Principles

Zelvoryqa follows the architectural principles established by the platform vision.

Business Capability First

Services are organized around meaningful business capabilities rather than technical layers.

Each service should have a clearly defined responsibility and business boundary.

Loose Coupling

Services should minimize direct dependencies on other services.

Communication between services should occur through well-defined APIs and events rather than shared implementation details or databases.

Event-Driven

Business events are used to communicate meaningful changes across service boundaries.

Events allow services to react asynchronously without requiring direct knowledge of every downstream consumer.

Organization context should be preserved in events involving organization-owned resources.

API-First

Service interfaces are treated as contracts.

APIs and event contracts should be explicit, documented, versioned when necessary, and independently testable.

Organization-scoped interfaces should explicitly define how organization context is established and validated.

Data Ownership

Each service owns the operational data required to perform its business capability.

Other services should access that information through APIs or events rather than directly accessing another service's database.

Organization-owned records within a service's data boundary must remain associated with their owning organization.

Tenant Isolation

Zelvoryqa must maintain logical isolation between organizations using the platform.

Organization context should be preserved and enforced across:

  • APIs
  • Service interactions
  • Operational data access
  • Business events
  • Background processing
  • Analytics
  • Authorization
  • Audit records
  • Operational telemetry where appropriate

Authentication alone must not grant access to organization-owned resources.

Services must validate organization context and applicable authorization before performing organization-scoped operations.

Observable by Default

Services should produce the telemetry required to understand system behavior, diagnose failures, and measure operational health.

Observability should provide sufficient organization context for tenant-specific investigation while avoiding unnecessary exposure of organization-owned or sensitive data.

Secure by Default

Authentication, authorization, tenant isolation, secrets management, encryption, least-privilege access, and auditability are architectural concerns rather than features added later.

Automate Operations

Infrastructure, testing, deployment, configuration, and operational processes should be automated wherever practical.

Portable Infrastructure

Zelvoryqa should minimize unnecessary dependencies on proprietary platform features so that workloads can be moved between environments when appropriate.

Design for Failure

Failures are expected in distributed systems.

Services should be designed to tolerate dependency failures, transient errors, network failures, partial outages, and infrastructure failures.

Failure handling must not weaken tenant isolation or allow operations to execute within an incorrect organization context.

3. Architecture at a Glance

Zelvoryqa is designed as a distributed, cloud-native, multi-tenant SaaS platform composed of independently deployable services.

flowchart TB

    Users[Users and Operators]

    Web[Web Application]
    Mobile[Mobile Application]

    Gateway[API Gateway]

    Identity[Authentication and Identity]
    OrgContext[Organization Context]

    Customer[Customer Service]
    Inventory[Inventory Service]
    Warehouse[Warehouse Service]
    Purchasing[Purchasing Service]
    Orders[Order Service]
    Fulfillment[Fulfillment Service]
    Shipping[Shipping Service]
    Notification[Notification Service]

    Events[Event Bus]

    Intelligence[Operations Intelligence Service]

    CustomerData[(Customer Operational Data)]
    InventoryData[(Inventory Operational Data)]
    WarehouseData[(Warehouse Operational Data)]
    PurchasingData[(Purchasing Operational Data)]
    OrderData[(Order Operational Data)]
    FulfillmentData[(Fulfillment Operational Data)]
    ShippingData[(Shipping Operational Data)]

    Analytics[(Tenant-Scoped Analytical Data)]

    Observability[Observability Platform]

    Infrastructure[Cloud Infrastructure]

    Users --> Web
    Users --> Mobile

    Web --> Gateway
    Mobile --> Gateway

    Gateway --> Identity
    Identity --> OrgContext

    OrgContext --> Customer
    OrgContext --> Inventory
    OrgContext --> Warehouse
    OrgContext --> Purchasing
    OrgContext --> Orders
    OrgContext --> Fulfillment
    OrgContext --> Shipping

    Customer --> CustomerData
    Inventory --> InventoryData
    Warehouse --> WarehouseData
    Purchasing --> PurchasingData
    Orders --> OrderData
    Fulfillment --> FulfillmentData
    Shipping --> ShippingData

    Customer --> Events
    Inventory --> Events
    Warehouse --> Events
    Purchasing --> Events
    Orders --> Events
    Fulfillment --> Events
    Shipping --> Events

    Events --> Customer
    Events --> Inventory
    Events --> Warehouse
    Events --> Purchasing
    Events --> Orders
    Events --> Fulfillment
    Events --> Shipping
    Events --> Notification
    Events --> Intelligence

    Intelligence --> Analytics

    Customer --> Observability
    Inventory --> Observability
    Warehouse --> Observability
    Purchasing --> Observability
    Orders --> Observability
    Fulfillment --> Observability
    Shipping --> Observability
    Notification --> Observability
    Intelligence --> Observability

    Infrastructure --> Customer
    Infrastructure --> Inventory
    Infrastructure --> Warehouse
    Infrastructure --> Purchasing
    Infrastructure --> Orders
    Infrastructure --> Fulfillment
    Infrastructure --> Shipping
    Infrastructure --> Notification
    Infrastructure --> Intelligence

The diagram represents the conceptual architecture rather than a deployment topology.

Arrows between services and the event bus represent two distinct event roles:

  • Service → Event Bus indicates that the service publishes business events that it owns.
  • Event Bus → Service indicates that the service consumes business events relevant to its responsibilities.

A service may act as both an event producer and an event consumer.

The diagram does not imply that every service consumes every event. Consumers subscribe only to events required by their business capability.

For example:

Order Service
     |
     | publishes OrderCreated
     v
Event Bus
     |
     +----> Inventory Service
     |
     +----> Fulfillment Service
     |
     +----> Notification Service
     |
     +----> Operations Intelligence

The Order Service does not need to know which services consume OrderCreated. Each interested consumer independently subscribes to and processes the event.

Organization Context represents the organization within which a user, request, event, or background operation is acting.

It is an architectural concept and does not necessarily represent a standalone service.

The mechanism used to establish, validate, and propagate organization context will be defined through more detailed architectural decisions.

Each operational data node represents data owned exclusively by its associated service.

For example:

Inventory Service
       |
       v
Inventory Operational Data

does not imply that other services may directly access Inventory Operational Data.

Similarly, organization-owned records inside that data store remain associated with their owning organization.

Individual services may communicate synchronously when an immediate response is required, while asynchronous events are used to propagate business state changes and trigger downstream processing.

4. Architectural Style

Zelvoryqa follows a combination of architectural patterns.

4.1 Microservices

Zelvoryqa will be implemented as independently deployable services from the beginning.

Each service represents a business capability and is responsible for:

  • Its business logic
  • Its API
  • Its operational data
  • Its events
  • Its tests
  • Its deployment configuration
  • Its operational telemetry

Services should be capable of being deployed, scaled, monitored, and recovered independently.

The goal is not to create services simply for the sake of having many services.

Service boundaries should reflect meaningful business responsibilities.

Services that operate on organization-owned resources must be organization-aware.

Organization context must be preserved where required across:

  • APIs
  • Service-to-service interactions
  • Events
  • Background processing
  • Data access
  • Audit records
  • Operational telemetry

4.2 Event-Driven Architecture

Events provide asynchronous communication between services.

Services participate in the event architecture in two primary roles.

Event Producer

A producer publishes a business event when a meaningful state change occurs within the business capability it owns.

For example, the Order Service may publish:

OrderCreated
OrderCancelled
OrderFulfilled

The Order Service owns these events because they describe changes to the order lifecycle, which is a business capability owned by the Order Service.

Event Consumer

A consumer subscribes to business events that are relevant to its responsibilities and reacts independently when those events occur.

For example:

Order Service
     |
     | publishes
     v
OrderCreated
     |
     v
Event Bus
     |
     +------------------> Inventory Service
     |
     +------------------> Fulfillment Service
     |
     +------------------> Notification Service
     |
     +------------------> Operations Intelligence

The Order Service publishes OrderCreated.

Inventory, Fulfillment, Notification, and Operations Intelligence may independently consume the event because it is relevant to their respective responsibilities.

A service may be both a producer and a consumer.

For example, after consuming OrderCreated, the Inventory Service may perform the inventory operation for which it is responsible and publish a new business event:

OrderCreated
     |
     v
Event Bus
     |
     v
Inventory Service
     |
     | Reserve inventory
     |
     | publishes
     v
InventoryReserved
     |
     v
Event Bus
     |
     +------------------> Order Service
     |
     +------------------> Fulfillment Service
     |
     +------------------> Operations Intelligence

In this flow:

  1. Order Service owns and publishes OrderCreated.
  2. Inventory Service consumes OrderCreated.
  3. Inventory Service performs inventory-specific business logic.
  4. Inventory Service owns and publishes InventoryReserved.
  5. Other interested services independently consume InventoryReserved.

This creates an important architectural distinction:

Producer
   |
   | publishes business event
   v
Event Bus
   |
   | delivers to interested subscribers
   v
Consumer

Producers should not require direct knowledge of their consumers.

The Order Service publishes OrderCreated without needing to know that Inventory, Fulfillment, Notification, or Operations Intelligence consumes it.

Likewise, the Inventory Service publishes InventoryReserved without needing to know which downstream services consume that event.

This allows:

  • Producers and consumers to evolve independently
  • Multiple consumers to react to the same event
  • New consumers to be introduced without modifying producers
  • Services to avoid unnecessary synchronous dependencies
  • Business workflows to span multiple independently deployable services

The architecture does not imply that every service consumes every event.

Consumers should subscribe only to events required by their business responsibilities.

Events should be:

  • Explicit
  • Versioned when necessary
  • Independently consumable
  • Idempotently processed
  • Traceable
  • Observable
  • Organization-aware when representing organization-owned activity

Organization-scoped business events must contain sufficient organization context for consumers to process the event within the correct tenant boundary.

Conceptually:

OrderCreated
    |
    +---- Event ID
    +---- Event Type
    +---- Organization ID
    +---- Occurred At
    +---- Event Data

The exact event envelope and schema are implementation decisions and will be defined separately.

Delivery semantics, subscriptions, retry behavior, dead-letter handling, ordering requirements, event retention, and organization-context propagation will be defined through architectural decisions and service-specific requirements.

5. Multi-Tenancy Architecture

Multi-tenancy is a foundational architectural capability of Zelvoryqa.

Zelvoryqa distinguishes between the business concept of an organization and the architectural concept of a tenant.

5.1 Organization

An organization represents a business or customer using Zelvoryqa.

Organizations may contain:

  • Users
  • Memberships
  • Roles and permissions
  • Locations
  • Warehouses or facilities
  • Configuration
  • Operational resources
  • Business workflows
  • Analytical information

5.2 Tenant

A tenant represents the logical isolation boundary associated with an organization.

Architecture and domain documentation should generally use:

  • Organization when referring to the customer or business domain concept.
  • Tenant when referring to security, data isolation, infrastructure isolation, or multi-tenancy behavior.

The logical relationship is:

Organization
     |
     v
Tenant Isolation Boundary
     |
     +---- Users and Memberships
     +---- Operational Data
     +---- Configuration
     +---- Permissions
     +---- Events
     +---- Analytics

5.3 User Membership

A user is a platform identity and is not inherently equivalent to an organization.

A user may belong to one or more organizations.

                  User
                   |
             Membership
                   |
         +---------+---------+
         |                   |
         v                   v
 Organization A        Organization B
         |                   |
         v                   v
 Roles/Permissions     Roles/Permissions

Authorization is evaluated within the organization in which the user is operating.

5.4 Organization Context

Organization context identifies the organization within which a request or operation is executing.

Conceptually:

Authenticated User
       |
       v
Organization Membership
       |
       v
Selected / Resolved Organization
       |
       v
Roles and Permissions
       |
       v
Organization Context
       |
       v
Business Service
       |
       v
Organization-Owned Resource

Authentication answers:

Who are you?

Organization membership answers:

Which organizations may you access?

Organization context answers:

Which organization are you currently acting within?

Authorization answers:

What are you allowed to do within that organization?

Organization context must be preserved when processing organization-owned resources.

The architecture should not assume that organization identifiers supplied directly by clients are trusted without validation.

5.5 Platform-Level and Organization-Level Resources

Zelvoryqa distinguishes between platform-level resources and organization-owned resources.

Zelvoryqa Platform
        |
        +---- Platform-Level Resources
        |
        +---- Organization A
        |        |
        |        +---- Organization-Owned Resources
        |
        +---- Organization B
                 |
                 +---- Organization-Owned Resources

Platform-level resources are owned or managed by Zelvoryqa itself and are not implicitly associated with an organization.

Organization-level resources belong to an organization and must be accessed within that organization's context.

Whether a resource is platform-level or organization-owned should be explicitly defined by the owning domain.

5.6 Tenant Isolation

Tenant isolation must be enforced through multiple architectural layers rather than relying on a single gateway or user-interface check.

Request
   |
   v
Authentication
   |
   v
Organization Resolution
   |
   v
Membership Validation
   |
   v
Authorization
   |
   v
Service Validation
   |
   v
Organization-Scoped Data Access

Services should not assume that organization context supplied by a client is trustworthy merely because it is present.

The mechanisms for establishing trusted organization context, propagating it between services, and enforcing isolation will be defined through dedicated architecture decisions.

5.7 Logical and Physical Isolation

The logical tenant model should remain independent from a single physical infrastructure or persistence strategy where practical.

Tenant isolation may eventually be implemented using strategies such as:

  • Shared infrastructure with logically partitioned data
  • Separate schemas
  • Separate databases
  • Dedicated infrastructure
  • Hybrid isolation models

This architecture overview does not select one of those approaches.

The physical tenant-isolation strategy should be documented through ADRs.

6. Synchronous Communication

Not every interaction should be asynchronous.

Synchronous APIs are appropriate when a caller requires an immediate response.

Examples include:

  • Retrieving inventory availability
  • Creating an order
  • Retrieving customer information
  • Querying shipment status
  • Updating operational configuration

The general communication model for organization-scoped operations is:

Client
   |
   v
API Gateway
   |
   v
Authenticated Identity
   |
   v
Organization Context
   |
   v
Service API
   |
   v
Service-Owned Operational Data

Internal service-to-service communication may use synchronous APIs when the operation requires an immediate response.

Organization context must be preserved across synchronous service boundaries when accessing organization-owned resources.

The specific API technologies, protocols, and context-propagation mechanisms will be established through architecture decisions.

7. API Architecture

APIs provide the primary synchronous interface to Zelvoryqa capabilities.

External clients should interact through controlled platform entry points rather than directly accessing internal service infrastructure.

The API architecture should provide:

  • Authentication
  • Organization-context resolution
  • Organization membership validation
  • Authorization
  • Request validation
  • Tenant isolation
  • Consistent error handling
  • API versioning where necessary
  • Rate limiting where appropriate
  • Request tracing
  • Documentation
  • Contract testing

Organization-scoped APIs should define how organization context is established and validated.

Services must not rely exclusively on client-provided organization identifiers as proof that a caller is authorized to access that organization.

API contracts should be machine-readable and maintained alongside the services that own them.

8. Core Business and Platform Capabilities

Zelvoryqa is organized around the following initial business capabilities.

Service Primary Responsibility
Customer Service Customer-related operational information within an organization
Inventory Service Organization-owned inventory quantities, availability, and inventory state
Warehouse Service Organization-owned warehouse locations, storage, and warehouse operations
Purchasing Service Organization-owned suppliers, purchasing activities, and procurement workflows
Order Service Organization-owned customer orders and order lifecycle
Fulfillment Service Organization-owned order fulfillment and fulfillment workflows
Shipping Service Organization-owned shipment creation, tracking, and delivery state
Notification Service Operational and customer notifications
Operations Intelligence Service Organization-scoped operational analytics, KPIs, forecasting, recommendations, and insights

In addition to business capabilities, Zelvoryqa requires platform capabilities for:

  • Authentication and identity
  • Organization membership
  • Organization-context resolution
  • Authorization
  • Tenant isolation
  • Observability
  • Infrastructure

These platform capabilities are architectural responsibilities.

Whether they are implemented as independent services, external systems, shared components, or combinations of these approaches will be determined through ADRs.

The service boundaries may evolve as domain understanding improves.

Changes to significant service boundaries should be documented through ADRs.

9. Data Architecture

Zelvoryqa follows two complementary forms of data ownership:

  1. Service ownership
  2. Organization ownership

9.1 Service Data Ownership

Each business service owns the operational data required for its business capability.

Customer Service
       |
       v
Customer Operational Data

Inventory Service
       |
       v
Inventory Operational Data

Order Service
       |
       v
Order Operational Data

Warehouse Service
       |
       v
Warehouse Operational Data

A service must not directly access another service's operational data store.

Instead, cross-service information should be obtained through:

  • APIs
  • Events
  • Derived data
  • Explicit integration mechanisms

This prevents database-level coupling and allows services to evolve independently.

9.2 Organization Data Ownership

Within a service's operational data boundary, organization-owned resources must remain associated with their owning organization.

For example:

Order Service
     |
     v
Order Operational Data
     |
     +---- Order 1001 ---> Organization A
     +---- Order 1002 ---> Organization A
     +---- Order 2001 ---> Organization B

This creates two independent ownership dimensions:

Which service owns this type of data?
                |
                v
         Service Ownership

Which organization owns this record?
                |
                v
      Organization Ownership

For example:

Inventory Service
       |
       | owns
       v
Inventory Operational Data
       |
       +---- Organization A records
       |
       +---- Organization B records

Organization A owning an inventory record does not mean Organization A owns the Inventory Service.

The Inventory Service remains authoritative for inventory behavior and inventory data across all organizations.

9.3 Tenant Data Isolation

Organization-owned records must be associated with their owning organization.

The data access architecture must prevent one organization's requests, events, jobs, or background processes from unintentionally reading or modifying another organization's data.

Tenant isolation should be treated as a system property that can be tested and verified.

9.4 Persistence Strategy

Zelvoryqa should use the simplest persistence technology that satisfies the requirements of a particular workload.

Transactional workloads will generally favor relational persistence.

Other persistence technologies may be introduced when justified by requirements such as:

  • High-volume event processing
  • Time-series data
  • Search
  • Analytical workloads
  • Caching
  • Object storage
  • Specialized access patterns

The architecture does not require every service to use the same persistence technology.

Specific technology selections should be documented through ADRs.

9.5 Physical Tenant Data Strategy

This architecture does not define whether tenant data will use:

  • Shared tables
  • Separate schemas
  • Separate databases
  • Dedicated infrastructure
  • A hybrid approach

The architectural requirement is logical isolation.

Physical isolation strategies may evolve based on:

  • Security
  • Scale
  • Compliance
  • Performance
  • Cost
  • Operational complexity

Those decisions should be documented through ADRs.

10. Operations Intelligence

Operations Intelligence is a first-class capability within Zelvoryqa.

It consumes operational information from across the platform and transforms that information into actionable insights.

Operations Intelligence is organization-aware by default.

flowchart LR

    AEvents[Organization A Events]
    BEvents[Organization B Events]

    Events[Event Bus]

    Intelligence[Operations Intelligence]

    AAnalytics[(Organization A Analytical Data)]
    BAnalytics[(Organization B Analytical Data)]

    AInsights[Organization A Insights]
    BInsights[Organization B Insights]

    AEvents --> Events
    BEvents --> Events

    Events --> Intelligence

    Intelligence --> AAnalytics
    Intelligence --> BAnalytics

    AAnalytics --> AInsights
    BAnalytics --> BInsights

Operations Intelligence may support capabilities such as:

  • Operational KPI dashboards
  • Trend analysis
  • Inventory analysis
  • Demand forecasting
  • Warehouse bottleneck identification
  • Fulfillment performance analysis
  • Shipping performance analysis
  • Purchasing analysis
  • Exception detection
  • Operational recommendations
  • Executive reporting

Organization-specific analytics, predictions, recommendations, and insights should be derived only from data that the organization is authorized to access.

Cross-organization analytics should be considered a separate platform capability.

Such capabilities should require explicit architectural, authorization, privacy, aggregation, and isolation controls.

The service should remain separated from transactional services.

Its purpose is to analyze operational data rather than become the system of record for business transactions.

AI and machine-learning capabilities should only be introduced where they provide measurable operational value and preserve tenant isolation.

11. Infrastructure Architecture

Zelvoryqa is designed to run as a cloud-native distributed application.

The infrastructure architecture provides the platform capabilities required by the services.

Conceptually:

                    Cloud / Infrastructure
                             |
        +--------------------+--------------------+
        |                    |                    |
        v                    v                    v
   Compute              Networking          Persistence
        |                    |                    |
        v                    v                    v
   Containers          API Access          Service Data
   Orchestration       Security            Object Storage
        |
        v
   Zelvoryqa Services

Infrastructure should be provisioned and managed through Infrastructure as Code.

The platform should support:

  • Containerized workloads
  • Service discovery
  • Networking
  • Secrets management
  • Configuration management
  • Persistent storage
  • Object storage
  • Identity and access management
  • Health checks
  • Autoscaling where appropriate
  • Resource isolation
  • Environment-specific configuration
  • Multi-tenant workload isolation where required

The infrastructure should support local development as well as cloud deployment.

The architecture should allow stronger physical workload or data isolation to be introduced for specific organizations when justified by scale, security, regulatory, or operational requirements.

12. Deployment Architecture

Each service should be independently deployable.

A conceptual deployment model is:

Source Repository
       |
       v
Continuous Integration
       |
       +--> Build
       +--> Test
       +--> Security Checks
       +--> Quality Checks
       |
       v
Container Image
       |
       v
Artifact Registry
       |
       v
Deployment
       |
       v
Container Orchestration
       |
       v
Zelvoryqa Service

Deployment automation should support consistent promotion across environments.

The platform should distinguish between:

  • Local development
  • Development
  • Test / staging
  • Production

Environment-specific configuration should be externalized rather than embedded in application code.

Tenant configuration should be treated separately from environment configuration.

An organization should not require a unique application build simply because it has organization-specific configuration.

13. Continuous Integration and Delivery

Zelvoryqa should use automated software delivery practices.

The delivery pipeline should provide, as appropriate:

  1. Source validation
  2. Formatting and linting
  3. Unit tests
  4. Integration tests
  5. Functional tests
  6. Tenant isolation tests
  7. Authorization tests
  8. Security scanning
  9. Dependency analysis
  10. Code quality analysis
  11. Container image creation
  12. Artifact publication
  13. Deployment
  14. Post-deployment validation

Changes should move through the delivery pipeline automatically wherever practical.

Automated testing should include representative multi-tenant scenarios and attempts to cross tenant boundaries.

Deployment strategies should support safe releases and rollback.

14. Observability Architecture

Observability is a platform-wide capability.

Services should produce three primary categories of telemetry:

                 Zelvoryqa Services
                         |
          +--------------+--------------+
          |              |              |
          v              v              v
       Metrics         Logs          Traces
          |              |              |
          +--------------+--------------+
                         |
                         v
               Observability Platform

Observability should make it possible to answer:

  • Is the system healthy?
  • Which service is failing?
  • What changed?
  • Where is latency being introduced?
  • Which dependencies are failing?
  • What happened during an incident?
  • Which organization or organizations were affected?
  • Is the system meeting its reliability objectives?

Distributed tracing should allow a request to be followed across service boundaries.

Organization context should be preserved in traces where appropriate.

Logs should contain sufficient context to correlate application behavior with:

  • Requests
  • Events
  • Services
  • Organizations where appropriate

Logs must avoid unnecessary exposure of sensitive tenant data.

Metrics should support:

  • Service health
  • Capacity
  • Performance
  • Business-level operational measurements

Organization identifiers should not automatically be attached to every metric.

High-cardinality tenant-specific telemetry should be introduced deliberately based on operational requirements.

15. Security Architecture

Security is integrated throughout the architecture.

Zelvoryqa separates identity, organization context, and authorization.

Authentication
     |
     | Who are you?
     v
Identity
     |
     v
Organization Membership
     |
     | Which organizations may you access?
     v
Organization Context
     |
     | Which organization are you acting within?
     v
Authorization
     |
     | What may you do?
     v
Organization-Owned Resource

The platform should provide:

  • Centralized authentication
  • Organization membership validation
  • Organization-aware authorization
  • Role- and permission-based access
  • Tenant isolation
  • Resource-level authorization where appropriate
  • Secure service-to-service communication
  • Secrets management
  • Least-privilege access
  • Encryption in transit
  • Encryption at rest where supported
  • Audit logging
  • Dependency and container security scanning
  • Secure CI/CD practices

Authentication alone does not authorize access to organization-owned resources.

Authorization decisions should consider, where appropriate:

  • Identity
  • Organization membership
  • Organization context
  • Role
  • Permission
  • Resource ownership

Services must validate organization context before accessing organization-owned resources.

Credentials and secrets must not be stored in source code or container images.

Services should receive only the permissions required to perform their responsibilities.

The detailed authentication, organization membership, role, permission, and organization-context model should be documented through dedicated architecture decisions.

16. Resilience and Failure Management

Zelvoryqa assumes that individual components will fail.

The architecture therefore favors isolation and independent recovery.

Examples include:

  • Service health checks
  • Timeouts
  • Retries for transient failures
  • Exponential backoff
  • Circuit breaking where appropriate
  • Idempotent operations
  • Event retry mechanisms
  • Dead-letter handling
  • Graceful degradation
  • Independent service recovery
  • Backup and restoration procedures
  • Disaster recovery strategies

Failure handling must preserve organization context and tenant isolation.

The following operations must not accidentally execute within an incorrect organization context:

  • Retries
  • Event reprocessing
  • Dead-letter processing
  • Background jobs
  • Recovery operations
  • Restored workloads

Where practical, failures caused by the workload or configuration of one organization should not unnecessarily affect other organizations.

Failure handling should be designed around the specific failure mode rather than applying retries indiscriminately.

17. Scalability

Zelvoryqa should scale according to workload rather than requiring the entire platform to scale together.

Because services are independently deployable, individual services can be scaled based on their workload.

For example:

High Order Volume
       |
       v
Order Service
       |
       +----> Scale Order Service
       |
       v
Order Events
       |
       +----> Inventory Consumers
       +----> Fulfillment Consumers
       +----> Intelligence Consumers

Asynchronous event processing provides additional opportunities for workload isolation and horizontal scaling.

The architecture should support:

  • Horizontal scaling
  • Independent service scaling
  • Organizations with different workload profiles
  • Protection from disproportionate tenant resource consumption
  • Stronger workload isolation where justified

Growth in one organization should not unnecessarily degrade the availability or performance experienced by other organizations.

Capacity requirements, rate limits, tenant fairness mechanisms, quotas, and scaling strategies should be documented as the platform and individual services mature.

18. Portability

Zelvoryqa should avoid unnecessary coupling to a single cloud provider.

Portability is supported through:

  • Containerized workloads
  • Kubernetes-compatible orchestration
  • Infrastructure as Code
  • Standard APIs
  • Portable data technologies
  • Explicit service contracts
  • Event-driven integration
  • Open observability standards

The logical tenant model should not depend unnecessarily on a particular:

  • Cloud provider
  • Database vendor
  • Messaging provider
  • Infrastructure topology

Cloud-specific capabilities may be used when they provide meaningful value, but such dependencies should be intentional and documented.

Portability does not mean that every component must be interchangeable.

It means that architectural decisions should distinguish between:

  • Business requirements
  • Tenant isolation requirements
  • Platform requirements
  • Vendor-specific implementation choices

19. Local Development Architecture

The local development environment should provide a representative version of the platform without requiring developers to reproduce an entire production environment.

The target developer experience is:

Developer
   |
   v
make up
   |
   +--> Infrastructure Dependencies
   |
   +--> Event Infrastructure
   |
   +--> Databases
   |
   +--> Identity and Organization Context
   |
   +--> Observability
   |
   +--> Zelvoryqa Services
   |
   v
Working Development Environment

A developer should be able to start the platform with minimal manual configuration.

Local development should support:

  • Service development
  • API testing
  • Event testing
  • Integration testing
  • Database development
  • Observability
  • Failure testing
  • Multiple test organizations
  • Organization membership
  • Organization switching
  • Organization-aware authorization
  • Organization-scoped operational data
  • Tenant isolation testing

Developers should be able to reproduce attempts to access resources across tenant boundaries and verify that those requests are rejected.

20. Architectural Boundaries

The architecture intentionally separates several concerns.

Client Layer

Responsible for user interaction, presentation, and organization selection where applicable.

API Layer

Responsible for controlled external access to platform capabilities and participation in establishing trusted request context.

Identity and Access Layer

Responsible for:

  • Authentication
  • Organization membership
  • Organization-context establishment
  • Authorization

Business Services

Responsible for business capabilities and transactional operations within the appropriate organization context.

Event Layer

Responsible for asynchronous communication between event producers and consumers and propagation of business events while preserving organization context where required.

The Event Layer does not define which services must consume every event. Producers publish events describing business facts they own, while consumers independently subscribe to the events required by their responsibilities.

Data Layer

Responsible for service-owned operational and analytical persistence and enforcement of tenant data boundaries.

Intelligence Layer

Responsible for organization-scoped:

  • Operational analytics
  • Insights
  • Forecasting
  • Recommendations
  • AI capabilities

Platform Layer

Responsible for:

  • Infrastructure
  • Deployment
  • Networking
  • Security
  • Observability
  • Operational capabilities

Multi-tenancy is a cross-cutting architectural concern spanning these layers rather than belonging exclusively to any one layer.

This separation allows each concern to evolve without unnecessarily coupling the entire platform.

21. What This Architecture Does Not Define

This document intentionally does not make every implementation decision.

The following topics belong in more detailed architecture documents or ADRs:

  • Specific cloud provider services
  • Specific Kubernetes distributions
  • Specific messaging technology
  • Event topic or subject structure
  • Subscription and consumer configuration
  • Event delivery semantics
  • Event retry and dead-letter implementation
  • Specific database technologies
  • Physical tenant data partitioning strategy
  • Shared-table, schema-per-tenant, or database-per-tenant decisions
  • Organization-context propagation mechanism
  • Organization identifier format
  • Organization provisioning implementation
  • User membership implementation
  • Role and permission model
  • Authentication provider
  • Identity token structure
  • API framework selection
  • Internal RPC technology
  • Deployment controller
  • Exact observability products
  • Event schema implementation
  • Database schemas
  • Kubernetes manifests
  • Terraform module structure
  • Service-level implementation details

Those decisions should be evaluated against the goals and principles established by this document.

22. Architectural Evolution

Zelvoryqa is expected to evolve as the platform is implemented.

Architecture decisions should follow a deliberate process:

Business Requirement
        |
        v
Architectural Constraint
        |
        v
Options
        |
        v
Evaluation
        |
        v
Architecture Decision
        |
        v
Implementation
        |
        v
Operational Feedback
        |
        +------------------+
        |                  |
        +----> Re-evaluate-+

Significant decisions should be documented using Architecture Decision Records.

ADRs should capture:

  • Context
  • Problem
  • Options considered
  • Decision
  • Consequences
  • Alternatives rejected

This allows the architecture to evolve without losing the reasoning behind previous decisions.

23. Initial Architecture Priorities

The initial implementation should prioritize establishing the architectural foundation rather than implementing every business capability in depth.

The recommended sequence is:

  1. Establish repository and development standards.
  2. Establish the organization and tenant domain model.
  3. Establish the multi-tenancy and tenant-isolation architecture.
  4. Establish authentication, organization membership, and authorization boundaries.
  5. Establish service boundaries.
  6. Establish service templates and organization-context conventions.
  7. Establish local infrastructure and representative multi-tenant development data.
  8. Establish API contracts and organization-context conventions.
  9. Establish event contracts, producer/consumer conventions, and organization-context propagation.
  10. Establish service-owned operational persistence and tenant data-isolation conventions.
  11. Establish observability.
  12. Establish CI/CD and automated tenant-isolation testing.
  13. Implement initial end-to-end business workflows.
  14. Establish tenant-aware Operations Intelligence.
  15. Expand analytics and AI capabilities.

Each step should reinforce the architectural principles rather than introduce shortcuts that undermine them.

Tenant awareness should be established before substantial business data models, APIs, and workflows are implemented so that multi-tenancy does not require retrofitting the platform later.

The following documents provide additional context:

Additional architecture documentation will be added as the platform evolves.

25. Guiding Architectural Principle

Build Zelvoryqa as a secure, multi-tenant collection of independently deployable business capabilities that communicate through explicit APIs and events, own their operational data, preserve organization boundaries, expose their operational state, and can evolve independently.

The architecture should make the platform:

Visible. Automated. Resilient. Intelligent. Secure. Tenant-Aware. Portable.