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Knowledge Graph

The Cohesive knowledge graph

The Cohesive knowledge graph defines the vocabulary behind semantic system graphs. It is a reference surface for navigation and study, distinct from the executable system graph Cohesive uses to generate software.

Explore the graph

Choose any concept as a vantage point, follow incoming or outgoing relations, and filter the visible neighborhood by its semantic properties.

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Realms

Overview

The graph-wide thesis and entry point for describing domains as semantic system graphs.

Principles

  • Adjunctions

    principle

    Adjunctions describe paired constructions that translate between domains in the best available way, even when the translations are not inverses.

  • Algebras and Coalgebras

    principle

    Algebras and coalgebras provide complementary ways to model construction and behavior.

  • Asynchronous Computability Theorem

    principle

    The asynchronous computability theorem characterizes which distributed tasks can be solved wait-free in an asynchronous read/write system.

  • CALM Theorem

    principle

    The CALM theorem, "Consistency as Logical Monotonicity", states that a program has a consistent, coordination-free distributed implementation if and only if it can be expressed in monotonic logic.

  • Categorical Principles

    reference

    Categorical principles provide modeling discipline for the Cohesive System Model. They are not the entry point for ordinary readers, but they help keep distinctions precise when relating domain semantics, system graph, operational concerns, and realization substrate.

  • Compositionality

    principle

    Compositionality is the principle that complex systems should be understood from parts and the rules by which those parts compose.

  • Concurrency

    principle

    Concurrency is the boundary-relative absence of an established ordering between occurrences or enabled work.

  • Control Flow

    principle

    Control flow describes how one possible action, operation, step, or continuation becomes enabled, selected, and followed by another at a declared boundary.

  • Control Theory

    discipline

    Control theory is the discipline of regulating the behavior of a dynamical system through observation, decision, actuation, and feedback over time.

  • Curry–Howard Correspondence

    principle

    The Curry–Howard correspondence relates formal proofs to typed programs: propositions correspond to types, proofs correspond to terms inhabiting those types, and proof normalization corresponds to program evaluation.

  • Database Sheaf Semantics

    principle

    Database Sheaf Semantics views a database schema as a category, a database instance as a structure-preserving functor into sets, and local database views as sections that can be restricted, compared on overlaps, and sometimes glued into a coherent larger instance.

  • Duality and Symmetry

    principle

    Duality and symmetry are principles for recognizing paired concepts that explain one another through reversal, complementarity, or mirrored structure.

  • Enrichment and Order

    principle

    Enrichment adds structure to relationships. Instead of merely asking whether a relationship exists, an enriched view asks what kind of value the relationship has: order, distance, cost, probability, time, authority, confidence, or information.

  • Equivalence vs Equality

    principle

    Equivalence and equality should not be confused.

  • Event-State Duality

    principle

    Event-state duality is a modeling principle and an instance of duality and symmetry: the relationship between two views of behavior:

  • Execution Kernel

    reference

    An execution kernel is a shared semantic and interpretation boundary through which portable transition and process descriptions become executable without making one runtime, storage engine, workflow product, actor system, or host-language program the source of meaning.

  • Fibrations and Indexed Structure

    principle

    Fibrations and indexed structure describe situations where each object in a base domain has a category of things lying over it.

  • Fixed Points

    principle

    A fixed point is a value, structure, or behavior that a specified transformation leaves unchanged:

  • Functional Programming

    discipline

    Functional programming describes computation primarily through values, functions, composition, and evaluation rather than through a distinguished sequence of commands that mutate shared state.

  • Functoriality

    principle

    Functoriality is the principle that a mapping between domains should preserve the structure that matters: identities, relationships, composition, and change.

  • Glitch Principle

    principle

    The glitch principle states that a non-trivial device making a discrete decision among finitely many outcomes from a continuous range of possible inputs cannot guarantee a uniform finite decision time for every input.

  • Happened-Before

    principle

    Happened-before is a strict partial order over occurrences that preserves potential causal influence without requiring one global clock or one total execution order.

  • Judgement

    principle

    A judgement is a context-indexed assertion that a specified relation holds. It makes explicit what is being claimed, under which assumptions and rules, at which boundary, and with what evidence or authority the claim is accepted.

  • Lambda Calculus

    discipline

    The lambda calculus is a formal calculus of variables, function abstraction, application, and substitution. It supplies a foundational language for functions and evaluation, and underlies large parts of functional programming, type theory, proof theory, and categorical semantics.

  • Law of Excluded Middle

    principle

    The law of excluded middle is the logical schema:

  • Linear Logic

    discipline

    Linear logic is a resource-sensitive logic in which assumptions cannot ordinarily be duplicated or discarded implicitly. It makes the use of hypotheses part of proof structure, separating connectives that combine independent resources from connectives that offer alternatives and modalities that explicitly permit reuse.

  • Logic

    discipline

    Logic studies formal languages, interpretations, and valid inference. It separates the expressions a language permits, the structures in which those expressions have meaning, and the rules by which conclusions follow from assumptions.

  • Monads Monoids and Duals

    principle

    Monads, monoids, and their duals provide recurring patterns for sequencing, accumulation, context, observation, and composition.

  • Naturality

    principle

    Naturality is the principle that a transformation should be independent of arbitrary representation choices. It should commute with the structure-preserving maps between representations.

  • Nondeterminism and Choice

    principle

    Nondeterminism describes a model in which one context admits more than one possible continuation. Choice describes how, where, or by whom that multiplicity is resolved.

  • Optics and Lenses

    principle

    Optics are structured ways to focus on, observe, transform, or update part of a larger structure.

  • Pattern Languages and Correspondence

    principle

    Pattern languages and catalogs preserve experience about recurring problems, forces, arrangements, and consequences. Cohesive reconciles them by placing each imported pattern into the realms where its claims belong and recording the correspondences among those claims.

  • Process Calculi

    discipline

    Process calculi are formal languages for describing and reasoning about interacting, concurrent, and mobile processes. They provide syntax for composing process descriptions, operational rules for how interactions advance, and equivalences for deciding when different descriptions exhibit the same relevant behavior.

  • Process Theories

    principle

    Process theories are modeling disciplines for work, interaction, change, and behavior that unfold over time.

  • Programming Paradigms

    reference

    Programming paradigms are recurring ways of interpreting and organizing computation. They select which structures are primary, which composition laws matter, and which operational details are left to a language, compiler, runtime, or other realization.

  • Queueing Theory

    discipline

    Queueing theory is the mathematical and operational discipline for reasoning about work that arrives, waits, receives finite-capacity service, moves among resources, and completes.

  • Quorum Intersection

    principle

    Quorum intersection is the principle that selected participant sets overlap so that later decisions or observations encounter evidence constraining earlier incompatible choices.

  • Recursion

    principle

    Recursion defines a value, structure, or behavior in terms of other instances of the same form. The recursive reference may point to a smaller component, a prior step, a nested process, or another derivation of the same relation.

  • Reduction, Evaluation, and Confluence

    principle

    Reduction, evaluation, and confluence describe how a computation advances through possible intermediate expressions or states, how an execution strategy selects a path, and when divergent paths remain semantically coherent.

  • Relational and Logic Programming

    discipline

    Relational and logic programming are approaches in which programs state which combinations of values, facts, or terms hold or are admissible, rather than prescribing only a function from distinguished inputs to distinguished outputs.

  • Service

    principle

    A service is a boundary-relative role in which a provider makes a capability available to a consumer through a contract, including declared semantic and operational guarantees. The role says what can be requested, observed, or relied upon at that boundary; it does not by itself determine where the behavior is implemented, whether it runs in another process, how it is deployed, or which team owns it.

  • Session Types

    discipline

    Session types are behavioral types for structured communication. They describe how a participant may use a channel or protocol endpoint over the course of a conversation: which values or labels it sends and receives, which choices it makes or offers, how the interaction recurs, and when it completes.

  • Sheaves and Gluing

    principle

    Sheaves and gluing provide a local-to-global principle for systems of observations: many observers, contexts, processors, time intervals, schemas, views, or execution cuts may each see part of a system, and the model needs to say when those partial views agree enough to form a coherent larger view.

  • State Machines

    principle

    State machines are a modeling principle for behavior described by current state, admissible transitions, inputs, and outputs.

  • Stuff Structure Property

    principle

    Stuff, structure, and property are a modeling distinction for separating what a model contains, how it is organized, and what constraints it satisfies.

  • Substitution

    principle

    Substitution replaces variables with terms while preserving the binding, scope, sorting, typing, and contextual relationships that make an expression meaningful. It is a foundational operation in logic, type theory, the lambda calculus, rewriting, proof theory, and compiler semantics.

  • Synchrony and Asynchrony

    principle

    Synchrony and Asynchrony describe whether events, observations, transitions, or participants are coupled into one boundary-relative unit.

  • System Language and Realization

    reference

    Cohesive aims to provide a standard language for describing systems and a family of compiler-like realizations that project that language into working infrastructure.

  • Systems Sheaf Semantics

    principle

    Systems Sheaf Semantics uses sheaf-theoretic local-to-global structure to model how observations, state, versions, histories, process state, and knowledge vary over contexts such as observers, boundaries, and causally valid cuts of execution.

  • Temporal Logic

    discipline

    Temporal logic is a family of logics for stating how propositions hold across behaviors, runs, traces, or branching transition structures. It adds modalities for time and succession without requiring every temporal claim to use wall-clock timestamps or metric durations.

  • Trace and Feedback

    principle

    Trace and feedback describe systems where outputs are fed back as future inputs.

  • Type Theory

    discipline

    Type theory studies terms together with the types that classify them and the judgements that establish when those terms are well formed. It can serve as a foundation for mathematics, a formal system for proofs, and a semantic basis for programming-language type systems. Substitution transports terms and types across contexts, while typed lambda calculi provide foundational term languages for abstraction and application.

  • Ubiquitous Language

    principle

    A ubiquitous language is a shared, model-grounded language used by domain practitioners and software practitioners within an explicitly bounded context. It gives the terms and statements used in conversation, scenarios, documentation, models, interfaces, tests, and code a common boundary-relative meaning.

  • Universal Constructions

    principle

    Universal constructions are principles for naming "the" object determined by a diagram of related objects and morphisms.

  • Yoneda Lemma

    principle

    The Yoneda lemma says, roughly, that an object is determined by how it relates to all other objects through maps into or out of it.

Formal and modeling disciplines that keep distinctions precise across the graph.

Domain Semantics

  • Authority

    semantic construct

    Authority is the boundary-relative standing by which an observer, role, protocol outcome, or source is accepted as able to make a claim, decision, transition, or effect count for a modeled subject.

  • Behavior

    semantic construct

    Behavior is a time-varying value: a trajectory through state space:

  • Causality

    semantic construct

    Causality is a dependency relation between events, observations, transitions, decisions, or effects in which one occurrence may have influenced, enabled, required, constrained, or carried information into another.

  • Command

    semantic construct

    A command is the interpretation of an event by a given observer as an attempted transition of a target subject.

  • Domain

    semantic construct

    A domain is a sphere of knowledge, activity, or concern selected as subject matter for understanding, modeling, or action.

  • Effect

    semantic construct

    An effect is a modeled consequence or obligation established by a semantic decision.

  • Entity

    semantic construct

    An entity is an enduring, identifiable subject whose state evolves over time under controlled transitions.

  • Event

    semantic construct

    An event is a time-bearing occurrence carrying a value. It marks, reports, or induces change depending on how it is interpreted by an observer relative to a boundary.

  • Identity

    semantic construct

    Identity is what allows a sequence of state observations to be understood as successive versions of the same thing.

  • Interaction

    semantic construct

    Interaction names boundary-relative participation among subjects: how observers, processes, entities, or other participants affect, observe, request, notify, answer, share state with, wait for, or synchronize with one another.

  • Invariant

    semantic construct

    An invariant is a validity constraint that must hold for a modeled subject, transition, process, relation, or boundary.

  • Observable

    semantic construct

    An observable is a probe, projection, measurement, or field accessor that produces an observation from state.

  • Observation

    semantic construct

    An **observation** is a contextualized value produced by an observable acting on state. It is the form in which state becomes usable by an observer relative to a boundary.

  • Observer

    semantic construct

    An observer is a locus of interpretation. It is the participant, context, or execution locus relative to which values, observations, events, commands, queries, boundaries, and state acquire meaning.

  • Policy

    semantic construct

    A policy is a decision rule that guides or constrains interpretation, authorization, routing, coordination, retention, recovery, or execution.

  • Process

    semantic construct

    A process is coherent work unfolding over time.

  • Query

    semantic construct

    A query is an observer-relative interpretation of an input event as a request to observe, compute, or return information without requesting a modeled semantic state transition.

  • Relation

    semantic construct

    A relation is a meaningful connection, dependency, association, correspondence, constraint, derivation, or causal link between semantic subjects.

  • Shape

    semantic construct

    A shape is the logical structure expected of a value, observation, state view, event payload, command input, query result, or projection result within a model boundary.

  • State

    semantic construct

    A state is the condition or configuration of a subject within a model boundary, modeled as an assignment of values to the subject's relevant dimensions at a time, version, or point in behavior.

  • Subdomain

    semantic construct

    A subdomain is a coherent region of a larger domain, distinguished by its subject matter, knowledge, activity, capability, purpose, policy, or strategic value.

  • Time

    semantic construct

    Time is the dimension in which occurrences, changes, histories, and behaviors are ordered or compared.

  • Transition

    semantic construct

    A transition is a semantic decision relation that determines a possible state evolution for one subject boundary from typed input and explicit observations.

  • Uncertainty

    semantic construct

    Uncertainty is multiplicity in the states, histories, causes, outcomes, or interpretations that an observer cannot yet distinguish at a declared boundary.

  • Value

    semantic construct

    A **value** is pure structured data. It is the concrete information used to read, write, transmit, compare, validate, transform, or carry state.

  • Version

    semantic construct

    A **version** identifies a point in an entity history at which a particular state became current.

Domain-level meaning for entities, commands, events, observations, identity, state, time, and change.

Operational Concerns

  • ACID

    operational concern

    ACID is a transaction contract: atomicity, consistency, isolation, and durability.

  • Acknowledgments

    operational concern

    Acknowledgments answer: what does a participant or substrate claim has happened?

  • Admission Control and Load Shedding

    operational concern

    Admission control decides whether, when, and under which conditions work may enter a bounded system, service, queue, resource, process, or authority scope. Load shedding deliberately refuses, drops, cancels, expires, samples, redirects, or degrades selected work when serving everything would violate more important service or progress constraints.

  • Arbitration

    operational concern

    Arbitration resolves local contention among competing eligible occurrences when the system must select, admit, order, or grant one or more of them.

  • CAP Theorem

    operational concern

    The CAP theorem describes an impossibility for distributed shared data under network partition: a system cannot simultaneously guarantee linearizable consistency, availability, and partition tolerance for all executions.

  • Commit Boundaries

    operational concern

    Commit Boundaries answer: what becomes accepted as one unit, and within which boundary?

  • Compatibility and Evolution

    operational concern

    Compatibility and evolution describe whether independently versioned producers, consumers, stored histories, schemas, definitions, and realizations can continue to correspond without changing the intended meaning.

  • Concurrency Control

    operational concern

    Concurrency Control answers: How can multiple concurrent histories be reconciled into a single valid history?

  • Consensus

    operational concern

    Consensus answers: how do multiple observers agree on one value despite concurrency, delay, partial failure, or independent local views?

  • Consistency Models

    operational concern

    Consistency Models constrain which observations are valid for a set of events, transitions, versions, sessions, replicas, and ordering relations.

  • Consistent Cuts

    operational concern

    A consistent cut is a selected set of events, versions, observations, or process positions that is closed under the declared causal prerequisites.

  • Consumer Coordination

    operational concern

    Consumer coordination describes how eligible observers discover, claim, receive, schedule, and complete work made available through an interaction channel.

  • Coordination

    operational concern

    Coordination answers: how is multi-step or multi-participant work made coherent across observers?

  • Correlation and Conversations

    operational concern

    Correlation and conversations describe how independently occurring messages, requests, replies, observations, attempts, and process steps are recognized as participating in one interaction or longer-lived protocol.

  • CRDTs

    operational concern

    CRDTs, conflict-free replicated data types, are replicated data types designed so that independently updated replicas converge without requiring synchronous coordination for every update.

  • Deadlock and Livelock

    operational concern

    Deadlock and livelock are failures of liveness in which enabled or accepted work does not reach its declared completion boundary.

  • Delivery Progress and Settlement

    operational concern

    Delivery progress and settlement describe what input an application has durably accounted for and how that durable fact authorizes a later change to provider-managed delivery state.

  • Delivery Semantics

    operational concern

    Delivery Semantics answers: what guarantees does an interaction edge provide?

  • Distributed Failure Scenarios

    reference

    Distributed failure scenarios are recurring hazard shapes that appear when effects, observations, commit boundaries, durability, isolation, coordination, and recovery cross independently governed boundaries.

  • Dual-Write Problem

    operational concern

    The dual-write problem is the failure mode that appears when one operation tries to commit two or more effects across independent commit boundaries without one atomic commit protocol or durable recovery protocol connecting them.

  • Durability

    operational concern

    Durability answers: which facts, histories, effects, decisions, or execution material survive which failures?

  • Failure Models

    operational concern

    Failure models state which faults, delays, losses, corruptions, recoveries, and correlated disruptions a system or protocol admits when making a correctness or progress claim.

  • Fairness

    operational concern

    Fairness constrains complete executions so that eligible participants, messages, or actions are not postponed forever under the stated assumptions.

  • Flow Control

    operational concern

    Flow control regulates how much work may be admitted or remain in flight between participants in response to available capacity.

  • Idempotency

    operational concern

    Idempotency is the property that repeated handling of the same semantic input does not produce duplicate domain effects.

  • Interaction Control Flow

    operational concern

    Interaction control flow identifies which participant or mediating locus actively drives each operation at a distributed interaction boundary.

  • Isolation

    operational concern

    Isolation describes what concurrent operations are allowed to observe of one another while they execute.

  • Linearization Points

    operational concern

    A linearization point is the logical instant at which an operation takes effect in the abstract sequential history used to justify linearizability. It must lie between that operation's invocation and response.

  • Load Balancing

    operational concern

    Load balancing governs how admitted work is distributed among eligible capacity-bearing destinations at a declared boundary so that service, capacity, fairness, locality, and failure objectives can be met.

  • Locality

    operational concern

    Locality is an operational property of the relationship between a workload and its dependencies. It describes how placement and reuse affect the cost of accessing, moving, or reconstructing those dependencies.

  • Metastability

    operational concern

    Metastability is the operational condition in which a system enters a locally persistent, usually degraded operating regime that continues after the disturbance that triggered it has disappeared.

  • Observability and Provenance

    operational concern

    Observability and provenance describe the evidence by which observers can inspect, explain, correlate, and diagnose system behavior across boundaries and time.

  • Operational Control

    operational concern

    Operational control describes authorized interventions that inspect or change how a running system admits, routes, schedules, pauses, drains, replays, quarantines, purges, resumes, or tests work.

  • Ordering

    operational concern

    Ordering defines the scope within which events, commands, observations, or effects are sequenced.

  • Parallelism

    operational concern

    Parallelism describes overlapping execution of work on distinct execution resources at a declared boundary.

  • Partitioning

    operational concern

    Partitioning governs how a population of subjects, data, or work is divided into assignment scopes at a declared boundary, and how the assignment behaves as the population, partition set, or rule changes.

  • Persistence

    operational concern

    Persistence answers: what is recorded as authoritative material?

  • Progress Conditions

    operational concern

    Progress Conditions classify liveness guarantees for concurrent or distributed operations.

  • Rate Limiting

    operational concern

    Rate Limiting constrains how quickly work may be accepted, dispatched, delivered, or processed.

  • Reconstitution

    operational concern

    Reconstitution answers: how is usable state recovered?

  • Recovery

    operational concern

    Recovery defines how a system returns to coherent operation after failure, interruption, conflict, timeout, overload, or partial progress.

  • Retention, Expiration, and Quarantine

    operational concern

    Retention, expiration, and quarantine describe how long interaction material remains available, when it ceases to be admissible for ordinary processing, and how exceptional material is isolated for inspection, repair, replay, reconciliation, or disposal.

  • Retry

    operational concern

    Retry is the controlled repetition of an operation after a transient failure, timeout, conflict, or unavailable dependency.

  • Safety and Liveness

    operational concern

    Safety and Liveness separate two kinds of operational property of a distributed system.

  • Scalability

    operational concern

    Scalability is a system property describing how its sustainable capacity, efficiency, and service quality change as workload, resources, or topology vary, subject to latency, correctness, availability, backlog, and cost bounds at a stated boundary.

  • Scheduling

    operational concern

    Scheduling determines which enabled work receives execution opportunity, in what order, on which resources, and under which priority, fairness, deadline, locality, and capacity rules.

  • Service Levels

    operational concern

    Service levels state how the outcomes of a service are measured, targeted, and, when applicable, made accountable commitments between a provider and consumer.

  • Temporal Completeness

    operational concern

    Temporal completeness describes when an observer or flow operator may treat the input relevant to a time-bounded result as sufficiently complete to emit, finalize, correct, or retract that result.

  • Two-Phase Commit

    operational concern

    Two-Phase Commit is a coordination protocol for atomic commit across multiple participants.

  • Version Histories

    operational concern

    Version Histories describe the shape of state evolution for a subject, entity, document, repository, projection, or replicated object.

Correctness, delivery, persistence, recovery, consistency, coordination, and reliability.

System Graph

  • Boundaries

    structural construct

    Boundaries define the scope and context in which observation, interpretation, authority, failure, persistence, delivery, and coordination apply.

  • Bounded Context

    structural construct

    A bounded context is a system-graph boundary within which a particular domain model is defined and applicable and its ubiquitous language has consistent meaning and ownership.

  • Business Transactions

    structural construct

    Business Transactions describe domain-level units of work whose progress, acceptance, rejection, compensation, or completion matters to the business.

  • Control Models

    structural construct

    Control models place adaptive observation, decision, and actuation loops in the system graph.

  • Effect Models

    structural construct

    Effect models describe how semantic effects are placed, related, scoped, and carried through the system graph.

  • Endpoints

    structural construct

    An interaction endpoint is a boundary-relative attachment locus at which a participant, through a port or adapter, sends to or receives from one or more channel directions under an interface and protocol binding.

  • Entity Models

    structural construct

    Entity models describe how the semantic entity role is arranged in the system graph.

  • Flow Operators

    structural construct

    Flow operators are compositional structures that transform, select, divide, combine, order, or distribute values moving through flow views.

  • Flow Views

    structural construct

    Flow views describe movement through the system graph over time.

  • Fork and Join

    structural construct

    Fork and join are paired process-graph structures that expand one continuation into several branch activations and later synchronize selected branch completions into a continuation.

  • Infrastructure Graph

    structural construct

    An infrastructure graph is the system graph projection that relates modeled system structure and guarantee demands to public realization substrate concepts and capability evidence.

  • Interaction Bindings

    structural construct

    An interaction binding relates the semantic and structural parts of an interaction at one exact boundary without making them identical. It states how interface contract roles and protocol roles attach through endpoints to exact channel directions, and which realization is authorized to carry them.

  • Interaction Channels

    structural construct

    An interaction channel is a provider-neutral logical exchange through which values, messages, observations, signals, requests, replies, events, or framed data can move among endpoints. It gives the exchange a stable structural locus, identifies its logical directions, and provides scopes to which required observable properties can be attached.

  • Interaction Protocols

    structural construct

    An interaction protocol describes the allowed temporal structure of interactions through an interface. It constrains not only the values that may be exchanged, but also which roles may initiate, which occurrences may follow, how concurrent attempts relate, and how a conversation completes, fails, is cancelled, or remains live.

  • Interfaces

    structural construct

    An interface is a declared interaction surface at a boundary. A boundary distinguishes scopes; an interface makes selected crossings of that boundary available and constrains what may cross, in which role, and with what meaning.

  • Invariant Scopes

    structural construct

    Invariant scopes describe where semantic invariants are attached in the system graph.

  • Messages and Envelopes

    structural construct

    Messages and envelopes describe the finite carriers used to move values and interaction metadata across system-graph boundaries.

  • Microservice

    structural construct

    A microservice is a logical service node in a service model with an explicit profile for independent semantic evolution, contract evolution, ownership, deployment, scaling, failure, recovery, and operation. The profile states which of those boundaries align and where independence remains partial rather than treating *micro* as a code-size or process-count rule.

  • Multiplexing and Demultiplexing

    structural construct

    Multiplexing combines several distinguishable logical interaction flows onto a shared interaction channel or node. Demultiplexing uses an address, key, type, correlation identifier, or other discriminator to recover the intended logical flow or destination.

  • Observer Models

    structural construct

    Observer models describe how semantic observers are placed in the system graph.

  • Partition Models

    structural construct

    Partition models describe how subjects, histories, relations, observations, or work are assigned to distinct ownership, ordering, storage, and execution scopes in the system graph.

  • Policy Scopes

    structural construct

    Policy scopes describe where semantic policies are attached in the system graph.

  • Process Graphs

    structural construct

    Process graphs describe how semantic processes are arranged across time, observer models, entity models, relation models, boundaries, and external systems.

  • Projection Models

    structural construct

    Projection models describe how derived observations or derived state views are arranged in the system graph.

  • Relation Models

    structural construct

    Relation models describe how semantic relations are represented in the system graph.

  • Replica Models

    structural construct

    Replica models describe how one logical subject, history, service role, or derived view is arranged across multiple replica observers in the system graph.

  • Routing Models

    structural construct

    Routing models describe how an interaction selects destinations, recipients, paths, or next processing loci in the system graph.

  • Service Models

    structural construct

    A service model is a system-graph view that bundles semantic responsibilities into logical services and connects their provided and required interfaces through interaction channels. Interaction protocols and operational envelopes qualify how those interactions may proceed. It mediates between the domain's entities, relations, queries, and processes and the concrete repositories, deployments, runtimes, and schedulers that realize them.

  • System Graph

    reference

    The system graph is the compositional, boundary-relative graph of a modeled system as a whole, in which semantic subjects and roles become explicit nodes and relations with declared placement, interaction, ownership, scope, and boundaries.

  • Transition Models

    structural construct

    Transition models describe how the semantic transition role is arranged in the system graph.

Placement, ownership, boundaries, relations, projections, policies, invariants, and graph shape.

Realization Substrate

  • Actor Systems

    realization substrate

    Actor Systems are runtimes that organize execution around addressable actor identities, message delivery, placement, isolation, and serialized handling per actor.

  • Additive Increase Multiplicative Decrease

    pattern

    Additive increase multiplicative decrease, commonly abbreviated AIMD, is a feedback-control pattern that probes for additional capacity with gradual additive increases and responds to congestion or overload with proportional decreases.

  • Application Hosts

    realization substrate

    Application Hosts are runtime containers for application code, request handling, background work, dependency management, and operational concerns.

  • Batch and File Exchange

    realization substrate

    Batch and file exchange is a realization substrate for moving finite collections, documents, snapshots, deltas, manifests, or artifacts across system boundaries through durable named objects.

  • Brokers

    realization substrate

    Brokers are concrete messaging substrates that mediate delivery between producers and consumers.

  • Compute

    realization substrate

    Compute is the concrete capacity that executes work: CPU, memory, processes, containers, virtual machines, functions, tasks, nodes, clusters, and other execution resources.

  • Consensus Protocols

    realization substrate

    Consensus Protocols are concrete protocol families that realize consensus under specified network, failure, timing, persistence, and membership assumptions.

  • CQRS

    pattern

    CQRS, command query Responsibility Segregation, is a realization pattern that separates the write side that interprets commands and persists authoritative change from the read side that answers queries by reconstituting queryable observations.

  • Database Transactions

    realization substrate

    Database Transactions are bounded units of database work whose covered operations commit or abort according to a transaction manager's contract.

  • Durable Execution Engines

    realization substrate

    Durable execution engines are concrete runtimes or substrate mechanisms that realize the durable execution architecture practice.

  • Event Sourcing

    pattern

    Event sourcing is a realization pattern in which an entity's durable history is represented by committed persistence events rather than only by current-state records.

  • Infrastructure

    realization substrate

    Infrastructure is the concrete operational environment that provides compute, networking, storage, deployment, security, observability, and platform services.

  • Network

    realization substrate

    Network is the realization substrate for interaction across link, network, transport, and application protocol boundaries.

  • Network Channels

    realization substrate

    A network channel is a protocol-layer communication locus realized through network addresses, links, paths, datagrams, connections, streams, sessions, frames, buffers, and their control state. It is distinct from the provider-neutral interaction channel and is not a synonym for an application or messaging channel.

  • Outbox

    pattern

    An outbox is a realization pattern that stores an outbound effect obligation in durable persistence, usually in the same local commit boundary as the state change that created the obligation.

  • PID Control

    pattern

    PID control is a feedback-control pattern that forms a control action from proportional, integral, and derivative contributions of an error signal.

  • Realization

    realization substrate

    Realization is the relation by which semantic roles, system graph, operational concerns, and architecture practices are made concrete in a substrate.

  • Runtimes

    realization substrate

    Runtimes are execution environments that host code and provide operational behavior.

  • Scaling Mechanisms

    realization substrate

    Scaling mechanisms are concrete ways to change resource capacity, execution population, or system topology in an attempt to improve scalability or elasticity.

  • Storage Systems

    realization substrate

    Storage Systems are concrete mechanisms for durable or semi-durable data: databases, event stores, object stores, key-value stores, logs, file systems, caches, and actor state providers.

  • TLA+

    realization substrate

    TLA+ is a formal specification language and tool ecosystem for describing and analyzing concurrent and distributed systems. It provides a concrete realization substrate for selected temporal-logic and state-machine models; it is not the semantic notion of temporal logic itself and is not a production execution runtime.

  • Workflow Engines

    realization substrate

    Workflow Engines are runtimes for defining, coordinating, and operating multi-step workflows across time.

  • Write-Ahead Logging

    pattern

    Write-Ahead Logging, or WAL, is a storage recovery pattern in which durable recovery records are written before the corresponding state changes are allowed to become unrecoverable.

Mechanism families such as compute, runtimes, storage, networks, brokers, actors, and infrastructure.

Architecture Practices

  • Actor Model

    architecture practice

    The actor model addresses the problem of organizing concurrent computation around isolated, addressable participants that communicate by message passing.

  • Analysis Patterns

    reference

    Analysis Patterns, by Martin Fowler, collects reusable structures discovered while modeling domains such as health care, financial trading, accounting, and organizational relationships.

  • Anti-Corruption Layer

    pattern

    An anti-corruption layer addresses the problem of integrating with another model without letting that model's semantics leak into the local boundary.

  • Architecture Practices

    reference

    Architecture practices are named bundles of modeling choices, constraints, and implementation habits that address recurring system-engineering problems.

  • Asynchronous Interaction Design

    architecture practice

    Asynchronous interaction design is the architecture practice of making independently progressing work explicit when one interaction is split across time, participants, and commit boundaries.

  • Capacity Planning

    architecture practice

    Capacity planning is an architecture and operational practice for relating expected demand, service-level objectives, failure assumptions, and provisioning lead times to the effective capacity and reserve a system must have available.

  • Clean Architecture

    architecture practice

    Clean Architecture addresses the problem of dependency direction: keeping high-value semantic rules from depending on volatile delivery, persistence, framework, and infrastructure choices.

  • CQRS as Architecture Practice

    architecture practice

    CQRS, command query responsibility segregation, is an architecture-practice bundle that deliberately gives command interpretation and query observation different models, responsibilities, and operational paths when their forces differ materially.

  • CRDTs as Architecture Practice

    architecture practice

    CRDTs are a distributed-systems practice for designing replicated state that can accept concurrent updates and converge without synchronous coordination for every update.

  • Data Mesh

    architecture practice

    Data Mesh addresses the problem of scaling analytical and operational data ownership across organizational and domain boundaries.

  • Domain-Driven Design

    architecture practice

    Domain-Driven Design, or DDD, addresses the problem of preserving domain meaning in software as systems grow in complexity.

  • Durable Execution

    pattern

    Durable execution is an architecture practice for keeping a logical execution coherent across failure, restart, suspension, timeout, or delayed external work.

  • Enterprise Integration Patterns

    reference

    Enterprise Integration Patterns, or EIP, is a technology-independent pattern language for message-based integration. Cohesive uses the catalog as an important architecture vocabulary while preserving the distinction among domain semantics, system-graph structure, operational concerns, architecture practices, and realization substrate.

  • Event Sourcing as Architecture Practice

    architecture practice

    Event sourcing is often described as an architecture practice. In the Cohesive System Model, the technical mechanics are captured by event sourcing as a realization substrate pattern.

  • Event-Driven Architecture

    architecture practice

    Event-Driven Architecture addresses the problem of coordinating independent participants through event flow rather than direct synchronous control.

  • Microservice Architecture

    architecture practice

    Microservice architecture addresses the problem of independent ownership, deployment, scaling, and evolution across bounded capabilities. These benefits are not exclusive to microservices: a modular monolith can establish similar semantic and code boundaries and can selectively separate deployment or scaling units. The prefix *micro* is relative to a coarser service, application, or deployment boundary; it does not prescribe a code size, endpoint count, process count, or team size.

  • Microservice Pattern Language

    reference

    The microservice pattern language collects architecture-practice patterns that allocate semantic responsibility and authority to independently evolvable services, connect them in service models through provided and required interfaces, govern their conversations with interaction protocols, state their operational guarantees, and select realization mechanisms. It covers decomposition, collaboration, data ownership, transactional messaging, communication, deployment, discovery, reliability, security, observability, testing, and migration.

  • Modular Monolith

    architecture practice

    The modular monolith addresses the problem of maintaining strong internal boundaries and cohesive change units within one repository and one compiler-visible solution or build graph. The shared graph enables static contract checking, compiler-enforced dependency rules, coordinated refactoring, shared code, and common repository and delivery infrastructure across the modules.

  • Orchestration and Choreography

    pattern

    Orchestration and choreography are forms of coordination distinguished primarily by where control of a coherent process resides.

  • Pattern-Oriented Software Architecture

    reference

    Pattern-Oriented Software Architecture, or POSA, is a multi-volume system of architectural patterns, design patterns, idioms, concurrency and networking patterns, resource-management patterns, and a composed pattern language for distributed computing.

  • Patterns of Distributed Systems

    reference

    Patterns of Distributed Systems, by Unmesh Joshi, collects recurring implementation structures used in distributed storage, messaging, system management, and compute infrastructure.

  • Patterns of Enterprise Application Architecture

    reference

    Patterns of Enterprise Application Architecture, or PoEAA, catalogs recurring structures for domain logic, application boundaries, relational persistence, web presentation, distribution, offline concurrency, session state, and foundational mapping or gateway roles.

  • Ports and Adapters

    pattern

    Ports and Adapters addresses the problem of keeping domain and application semantics independent from specific infrastructure, protocols, user interfaces, and external systems.

  • Process Managers

    pattern

    Process managers are an orchestration pattern for coordinating a process across participants, time, effects, and failure boundaries.

  • Sagas

    pattern

    Sagas are process managers specialized for domain process recovery across system boundaries where one atomic transaction is unavailable, too expensive, or misaligned with the domain process.

  • Sagas and Process Managers

    reference

    This note connects the dedicated entries for sagas and process managers.

  • Transactional Inbox

    pattern

    The transactional inbox addresses the consumer-side problem of processing a delivered input exactly once in domain meaning when the delivery substrate may redeliver it.

  • Transactional Outbox

    architecture practice

    Transactional outbox is the architecture practice of using an outbox to tie an accepted local state change to downstream publication responsibility without a distributed transaction between storage and consumer.

  • Weak Isolation Patterns

    architecture practice

    Weak isolation patterns are architecture practices for preserving useful correctness when one ACID transaction or two-phase commit boundary is unavailable, too expensive, or misaligned with the domain process. This is mostly about deciding which weaker guarantees become explicit parts of the domain protocol, entity model, process state, and recovery behavior.

  • Workflow Patterns

    reference

    Workflow Patterns is a research-based pattern language for recurring requirements in process-aware information systems and workflow languages. The original catalog identifies twenty implementation-independent control-flow patterns. The broader initiative also catalogs data, resource assignment, exception handling, and event-log imperfections.

Named practices interpreted as cross-realm bundles of problems, constraints, and realization choices.

cohesivesystems/knowledge