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PURISTA

Business logic first. Deployment shape second.

PURISTA is an open-source TypeScript stack for enterprise software architecture and implementation. It maps business capabilities into validated services, commands, subscriptions, and runtime adapters so teams can start simple and scale toward distributed or Kubernetes deployments when the organization is ready.

Why it matters

Enterprise teams often lock business logic to the first technical shape that ships: HTTP handlers, broker callbacks, cloud-specific SDKs, deployment conventions, and provider decisions. The company later needs another team model, another runtime, another provider, or Kubernetes, and the business logic pays the migration bill.

What changes

PURISTA starts with business capability definitions. Services group commands, subscriptions, schemas, resources, stores, and configuration. Business logic lives in validated handlers. Bridges, stores, secrets, resources, HTTP exposure, telemetry, and deployment adapters are supplied at runtime.

How the model holds

Define service contracts first, implement business handlers second, and inject runtime adapters for bridges, stores, telemetry, providers, and deployment shape when the service instance runs.
message flow PURISTA
Definition service builders schemas, commands, subscriptions
Implementation business logic validated command handlers
Runtime adapters bridge, stores, providers
deployment shape monolith -> services -> kubernetes

Define service contracts first, implement business handlers second, and inject runtime adapters for bridges, stores, telemetry, providers, and deployment shape when the service instance runs.

PURISTA is an architecture move before it is a framework choice.

For a CTO, the risk is not that a team writes too little code. The risk is that the first delivery shape becomes the permanent architecture: handlers own business decisions, cloud SDKs leak into domain logic, message contracts are implicit, and deployment choices become expensive to change.

PURISTA keeps three decisions separate. First, define the business capability and its contracts. Second, implement the business logic behind those contracts. Third, inject the runtime adapters for bridges, stores, telemetry, config, secrets, providers, and deployment shape.

That gives the organization a clean path: ship as one application when speed matters, split services when ownership changes, and move toward Kubernetes or distributed execution when the operating model justifies it.

Where this connects to enterprise pressure.

Compliance reviews get explicit contracts, validation points, and adapter boundaries instead of hidden behavior inside handlers.
Data handling stays attached to service definitions, resources, stores, and runtime adapters, so provider choices remain visible.
Observability is part of the service model through tracing, logging, and message flow conventions.
Delivery teams can start with one deployable and split ownership later without rewriting the business model.

PURISTA turns pressure into an operating model.

Business capability definitions through service, command, and subscription builders

Runtime validation schemas that support typed contracts and exported definitions

Provider adapters for event bridges, queues, stores, resources, config, secrets, and telemetry

Deployment paths from a single application to independently deployed services and Kubernetes

Observability and error handling conventions built into the service model

Where decision makers should care.

Map business capabilities into technical services without coupling them to one provider
Start with a monolith-like deployment and move to distributed services when scale justifies it
Let different teams own service boundaries while keeping contracts explicit
Keep traceability, validation, and adapter choices visible for enterprise architecture reviews