For decision makers
Backends yourboardcan sign off on.
PURISTA is the open-source framework for backends that meet enterprise standards by construction. No vendor lock-in. No review archaeology. No PR limbo. The same declared contract serves the CISO, the CTO and the CFO.
For the CISOReviewable by structure.
For the CTOOperable on principle.
For the CFOApproval-ready by design.
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The PURISTA contract
Three enterprise guarantees. Built into every service.
These are not features your team has to remember to wire up. They are properties of the shape. Build a service the PURISTA way and you get all three for free — every time.
Provider-agnostic, by construction.
Your business code never imports a vendor SDK. Brokers, secret stores, databases and message queues plug in through adapters — swapped by configuration, not by code change.
- Same code on AWS, Azure, or self-hosted.
- Multi-cloud and hybrid deployments without rewrites.
- Adapter SLAs evaluated independently of feature work.
Observable & traceable, end to end.
OpenTelemetry spans on every command, subscription and stream — correlated automatically across services. Every message carries principalId andtenantId, giving you the foundation to implement audit logging exactly where your compliance requirements demand it.
- Trace context propagated automatically across services.
- principalId and tenantId on every message — ready for your audit logic.
- Declared contracts make security and compliance review faster.
Approval-ready by structure.
Security, ops, compliance and architecture review the same artifact: the declared contract. Questions become checks. PRs ship in hours, not weeks.
- Every command exposes its data flow at the schema layer.
- Ownership, IAM and audit policy are inspectable, not implicit.
- AI-generated code lands in a structure reviewers already trust.
Stakeholder view
Same artifact. Three signoffs.
The CISO, CTO and CFO each see the system through a different lens. PURISTA gives every one of them the answers they need from the same source of truth — the declared contract.
Security reviews the wire, not the code.
Every data flow, access boundary and secret injection is explicit in the contract. Threat models reference real artifacts — schemas, IAM bindings, adapter declarations — not screenshots of architecture diagrams.
- Typed access boundaries on every command.
- Secrets injected by adapter — never embedded.
- IAM expressed at the contract layer.
- Audit trail emitted as a side-effect of routing.
Operable on principle.
Services declare their contracts. Infrastructure binds at boot. No hidden coupling. The same code runs on a laptop, a Kubernetes cluster, or a serverless edge — and you keep the option open.
- Same service across runtimes — no rewrite.
- Observable by default. OpenTelemetry built in.
- Failure modes inspectable, not inferred.
- Onboarding becomes reading, not archaeology.
Approval-ready by design.
Reduce review cycle time. Cut audit preparation cost. Eliminate vendor lock-in clauses from the renewal table. Turn AI-built velocity into approved deployments — not stalled PR backlogs.
- Approval cycle time — from weeks to hours.
- Audit-prep effort — a measurable line item.
- AI investment — translated into shipped code.
- Provider exit cost — close to zero.
The shift
From review archaeology to structural verification.
Without structure, reviewers reconstruct intent from code. With PURISTA, they check declared structure. The questions become checks. The checks become checklists. Approval cycle time drops from weeks to hours.
Reviewers reconstruct intent.
- "Where does this data go?"
- "Who owns this endpoint?"
- "How is rotation handled?"
- "What's the retry policy?"
- "Where is this logged?"
Reviewers verify declared structure.
- data-flow → output schema declares it
- owner → required field on every service
- secrets → adapter-injected, never embedded
- retry → policy declared on the bridge
- trace → emitted by routing, not handwork
What every request goes through
Every request, eight checkpoints.
Validation, guard checks, distributed tracing and output schema verification happen around your handler — not inside it, not after it, not by hand. The structure is always there.
Request arrives
HTTP / event / queue — same gateway.
Schema validated
Zod gate. Bad input never reaches code.
Guards enforced
Before guards run auth, quota, and policy checks in parallel.
Trace span opened
Distributed trace starts. OTel context propagated automatically.
Handler runs
Your business logic — the only code you write.
Output validated
Output schema checked. Bad data never reaches the caller.
Event emitted
Downstream services react via subscriptions.
Response returned
Typed output. Trace closed. Span correlated.
No vendor lock-in
Multi-cloud is a configuration choice.
Procurement leverage is a feature, not an aspiration. The same service code runs on AWS, on Azure, or fully self-hosted. The adapter is bound at boot — not embedded in your codebase.
- brokerAmqpBridge → Amazon MQ
- secretsaws-secret-store
- configaws-config-store
- tracingOTLP → CloudWatch
- brokerAmqpBridge → Service Bus
- secretsazure-secret-store
- stateredis-state-store
- tracingOTLP → Azure Monitor
- brokerNatsBridge
- secretsvault-secret-store
- stateredis-state-store
- tracingOTLP → Grafana
Ready for approval
Ship AI-built code that passes review.
Start with the framework your reviewers can actually sign off on. We're happy to walk a procurement, security or platform team through an evaluation.