Distributed Consistency, Concurrency and Recovery Contracts

archimatev1

/01 Views

Distributed business operation boundaryarchimate

Cooperating logical componentsarchimate

Dispatch, recovery and monitoring responsibilityarchimate

Idempotent receiving boundaryarchimate

Accepted command and caller portarchimate

Admitted coordinated operationarchimate

Serialize conflicts before local commitarchimate

Local state and durable dispatch intentarchimate

Authoritative state and command versionarchimate

Committed event dispatch with replayable statearchimate

Publisher and receiver handoffarchimate

Idempotent effect and progress checkpointarchimate

Accepted effect and reply semanticsarchimate

Timeout does not imply failed remote executionarchimate

Retry, reconciliation and corrective actionarchimate

Stop invalid or exhausted operationarchimate

Separate corrective state transactionarchimate

Pending request and locally committed resultarchimate

Verified accepted resultarchimate

Indeterminate external statearchimate

Per-key ordering and replay scopearchimate

Consistency and local safety requirementsarchimate

Finite retry and admission budgetarchimate

Retry policy and admission gatesarchimate

Accountable reliability authorityarchimate

State integrity and coordination riskarchimate

Recoverability service requirementarchimate

Saturation forces controlled admissionarchimate

Evidence-backed business reliabilityarchimate

Independently operated downstream dependencyarchimate

Consumer progress and reconciliationarchimate

/02 About

Model declared atomicity, command admission, concurrency, ordering, idempotent effects, partial failure, bounded retries and verified recovery.

Purpose: distinguish local authoritative state, committed publication intent, consumer deduplication, replay progress, ambiguous remote outcomes and separately verified business completion. Model concurrent requests, admission capacity and failure containment without assuming that network delivery equals acceptance or that separate domains share an atomic transaction. Safety invariants: a local accepted change and its publication intent must be durably correlated inside a documented atomicity boundary. Retries are permitted only where their business effects can be deduplicated or compensated within declared scopes and windows. Timeouts yield unknown status, not proof of remote nonexecution. Concurrent writes require stated serialization, version checks or a domain-specific convergence decision. Liveness and operations: use bounded concurrency and backpressure, timeouts, recovery budgets, stable checkpoints, quarantine and accountable escalation. Completed service must have authoritative downstream evidence, and incomplete work must remain traceable. Tradeoffs between consistency, availability, latency and autonomy must be explicit under anticipated failure conditions. Limitations: architecture reference only—not a universal exactly-once guarantee, executable consensus algorithm, global database transaction, or validated service-level objective. Adopters must specify ordering keys, fault assumptions, transaction mechanisms, replay protections, recovery invariants, budgets and tests.

Curated · operations · CC-BY-4.0 · Published by Lattix · 52 elements · 81 relationships · validated on publish

/03 Contents

Business Actor: Distributed operation requester
Role: Distributed reliability accountable owner
Application: Logical distributed business application
Application Component: Request validation and admission boundary, Business operation coordinator, Operation execution worker, Committed event dispatcher, Idempotent event consumer, Distributed reconciliation component, Reliability and correctness observer
Application Service: Distributed business operation service, Externally operated participant
Interface/Endpoint: Versioned operation interaction port
Message/Event Schema: Correlated operation request schema, Accepted operation event schema, Business processing receipt schema
Data Store: Authoritative local transaction repository, Durable publication intent journal, Idempotency and applied-effects record, Consumer progress checkpoint, Quarantined or failed action record
Logical Entity: Authoritative business operation record
State: Accepted pending operation, Committed local business change, Unconfirmed event delivery, Confirmed business effect, Ambiguous external result, Rejected or terminal failure outcome
Behaviour: Validate and admit operation, Resolve concurrent command conflict, Atomically record accepted change and dispatch intent, Dispatch committed event intention, Apply deduplicated consumer effect, Acknowledge business processing result, Retry transient failures with bounded backoff, Reconcile unknown and incomplete results, Perform authorized corrective transaction, Isolate unrecoverable or invalid work
Business Event: Downstream timeout or partition detected, Saturation or admission limit reached
Policy: Distributed operation and retry policy
Constraint: Explicit atomicity and consistency boundary, Ordering and duplicate-effect rules, Bounded backpressure and recovery budgets
Requirement: Verified recovery and liveness requirement, Safety and business-effect requirement
Resource: Finite operating and remediation capacity
Control: Authoritative state and identity safeguard
Risk: Partial failure and coordination risk
Measure: Consistency and recovery operating indicators
Outcome: Verified correct distributed business outcome
Capability: Operate dependable distributed functionality