Chapter 23 — Constitutional Runtime Framework

Part X — Reliability, Scale and Operations

The Reliability, Scale and Operations Runtime is the governed constitutional runtime through which ZAYAZ maintains predictable service, protects semantic correctness under stress, allocates capacity fairly, operates across failure domains, changes safely, restores state, observes runtime behaviour and preserves operational evidence.

Reliability SHALL be treated as more than uptime.

A system MAY be available while returning stale, incomplete, unauthorised, inconsistent or semantically invalid outcomes.

A system MAY also be correct for one tenant while violating capacity, isolation or fairness obligations for another tenant.

The Runtime SHALL therefore distinguish:

availability from constitutional correctness;
responsiveness from successful completion;
technical success from semantically valid outcome;
resilience from silent degradation;
scaling from uncontrolled resource expansion;
redundancy from independent fault tolerance;
replication from consistency;
backup from recoverability;
retry from successful recovery;
observability from unrestricted logging;
operational telemetry from constitutional evidence;
incident containment from full restoration;
service restoration from validated recovery;
infrastructure health from Module and Component health;
platform capacity from tenant entitlement;
cost optimisation from semantic weakening;
energy efficiency from avoided constitutional obligations.

The governing principles are:

Reliability SHALL preserve constitutional meaning under expected load, partial failure, recovery and change.

Scale SHALL preserve tenant isolation, fairness, determinism, traceability and declared consistency semantics.

Operations SHALL be governed through explicit objectives, runbooks, change controls, evidence and independently verifiable runtime state.

Conceptually:

Constitutional Criticality and Workload Classification
        │
        ▼
Reliability Profile
        │
        ├── Service-Level Objectives
        ├── Consistency Requirements
        ├── Freshness Requirements
        ├── Recovery Objectives
        ├── Capacity Entitlements
        ├── Degradation Policy
        ├── Continuity Policy
        └── Operational Evidence Policy
        │
        ▼
Runtime Operation
        │
        ├── Admission Control
        ├── Scheduling
        ├── Scaling
        ├── Replication
        ├── Backpressure
        ├── Retry
        ├── Failover
        ├── Deployment
        ├── Monitoring
        └── Recovery
        │
        ▼
Runtime Outcomes and Operational State
        │
        ▼
HECATE Validation
        │
        ▼
Operational Evidence, Explanations and Provenance

Reliability, Scale and Operations Runtime SHALL remain independent of any single cloud provider, orchestration platform, database, queue, observability stack, deployment tool, autoscaler, incident system or infrastructure architecture.

23.101. Reliability Runtime

The Reliability Runtime is the constitutional runtime responsible for ensuring that runtime capabilities remain available, correct, sufficiently fresh, recoverable and operationally controlled according to declared Reliability Profiles.

Reliability SHALL be evaluated at the level of:

platform;
Module;
Component;
capability;
tenant;
white-label deployment;
workload class;
Runtime Bundle;
workflow;
event stream;
graph partition;
data product;
report;
assurance engagement;
external dependency.

23.101.1. Reliability Purpose

The Reliability Runtime SHALL support:

dependable constitutional execution;
semantic correctness under load;
predictable degradation;
component failure isolation;
multi-tenant fairness;
workload prioritisation;
bounded retries;
deterministic failover;
recovery validation;
data freshness;
event continuity;
graph consistency;
safe deployment;
incident containment;
continuity and disaster recovery;
operational auditability.

23.101.2. Reliability Subject

A Reliability Subject MAY be:

Module;
Component;
runtime capability;
service;
API;
workflow;
agent;
tool;
event stream;
database;
graph store;
evidence vault;
cache;
search index;
vector store;
report pipeline;
computation;
external integration;
deployment;
tenant;
white-label deployment.

23.101.3. Reliability Profile

A Reliability Profile is the governed Constitutional Object defining the reliability, availability, latency, freshness, consistency, recoverability, capacity, degradation and evidence requirements applicable to a subject and context.

Every Reliability Profile SHALL possess:

Constitutional Identifier;
canonical name;
semantic definition;
subject scope;
workload class;
governing authority;
applicability;
lifecycle;
version;
temporal validity;
Service-Level Objectives;
consistency profile;
freshness profile;
capacity profile;
retry policy;
failover policy;
degradation policy;
recovery objectives;
continuity policy;
observability policy;
evidence policy;
provenance.

23.101.4. Reliability Profile Types

Profile Types MAY include:

Core constitutional runtime;
HECATE validation;
CRP resolution;
constitutional graph;
reporting;
publication;
evidence;
assurance;
agent runtime;
workflow runtime;
event runtime;
computation runtime;
tenant-critical;
regulatory deadline;
batch;
interactive;
streaming;
historical replay;
simulation;
emergency.

23.101.5. Profile Resolution

CRP SHALL resolve the applicable Reliability Profile using:

capability;
subject;
tenant;
white-label deployment;
workload class;
constitutional criticality;
assurance significance;
publication significance;
security classification;
jurisdiction;
reporting period;
emergency state;
Runtime Environment.

The Runtime SHALL NOT infer criticality solely from technical service names.

23.101.6. Constitutional Criticality

Constitutional Criticality SHALL classify the impact of failure or degradation.

Criticality MAY include:

informational;
operational;
important;
critical;
constitutionally critical;
safety- or legally critical.

Criticality SHALL consider:

constitutional integrity;
regulatory impact;
assurance impact;
publication impact;
tenant impact;
financial impact;
environmental impact;
security impact;
evidence loss;
recoverability.

23.101.7. Reliability Dimensions

Reliability MAY be evaluated across:

availability;
correctness;
completeness;
consistency;
freshness;
latency;
throughput;
durability;
recoverability;
isolation;
fairness;
dependency health;
explainability;
provenance completeness.

No single availability percentage SHALL represent the complete reliability state.

23.101.8. Reliability Outcome

A Reliability Outcome SHALL identify:

Reliability Outcome Identifier;
subject;
Reliability Profile;
evaluation window;
Runtime Context;
applicable objectives;
observed indicators;
breaches;
degradation;
affected tenants;
affected Modules;
affected Components;
recovery state;
explanation;
provenance.

23.101.9. Reliability States

Reliability State MAY include:

Healthy;
Healthy with Risk;
Degraded;
Partially Available;
Unavailable;
Recovering;
Validation Required;
Suspended;
Indeterminate;
Not Evaluated.

A technically reachable service MAY remain Degraded or Suspended where semantic safety is not established.

23.101.10. Reliability Dependencies

Every critical capability SHALL identify dependencies including:

upstream services;
downstream services;
data stores;
graph stores;
event streams;
identity services;
policy services;
key services;
model providers;
external registries;
networks;
Runtime Bundles;
Components;
human operational roles.

23.101.11. Dependency Criticality

Dependencies SHALL be classified by:

criticality;
substitutability;
failure mode;
timeout;
retry eligibility;
consistency impact;
data-loss impact;
tenant impact;
fallback;
recovery objective.

23.101.12. Reliability Invariants

Reliability invariants MAY include:

no cross-tenant state contamination;
no unauthorised fallback;
no Valid outcome from incomplete validation;
no event acknowledgement before durable acceptance where required;
no publication without required gates;
no silent loss of provenance;
no stale authority beyond permitted freshness;
no uncontrolled retry storm;
no recovery without validation;
no degradation that changes constitutional meaning.

23.101.13. Graceful Degradation

Graceful degradation SHALL preserve constitutional safety.

Permitted degradation MAY include:

read-only mode;
cached read with explicit staleness;
delayed processing;
reduced non-critical features;
queued execution;
lower-priority workload suspension;
advisory-only output;
manual workflow fallback;
restricted tenant mode;
reduced explanation detail where permitted.

23.101.14. Prohibited Degradation

Degradation SHALL NOT:

bypass tenant isolation;
weaken mandatory validation;
treat stale policy as current beyond permitted limits;
present incomplete outcomes as complete;
omit material provenance;
silently substitute methodologies;
suppress required findings;
publish provisional results as assured;
relax security without Emergency Authority;
erase uncertainty or limitation.

23.101.15. Reliability Validation

HECATE SHALL validate:

Reliability Profile applicability;
objective completeness;
criticality;
dependency model;
degradation safety;
recovery state;
tenant impact;
operational evidence;
provenance.

23.102. Service Objectives, Indicators and Error Budgets

A Service-Level Indicator, abbreviated SLI, is a governed measurement of runtime behaviour.

A Service-Level Objective, abbreviated SLO, is a governed target for one or more SLIs over a defined scope and evaluation window.

An Error Budget is the permitted amount of objective non-conformance within a defined SLO window.

SLIs and SLOs SHALL be represented as governed objects rather than dashboard-only configuration.

23.102.1. SLI Identity

Every SLI SHALL possess:

SLI Identifier;
canonical name;
semantic definition;
subject;
measurement method;
numerator;
denominator where applicable;
unit;
scope;
tenant treatment;
aggregation;
sampling;
evaluation interval;
data source;
exclusion policy;
confidence;
provenance.

23.102.2. SLI Types

SLI Types MAY include:

successful-request ratio;
valid-outcome ratio;
complete-outcome ratio;
authorised-outcome ratio;
latency;
throughput;
queue delay;
freshness;
replication lag;
event delay;
validation completion;
workflow completion;
report-generation time;
recovery success;
provenance completeness;
tenant-isolation conformance;
deployment success;
agent tool success;
dependency availability.

23.102.3. Semantic Success

A request SHALL be counted as semantically successful only where the applicable objective defines success and the outcome satisfies required:

authority;
validation;
correctness;
completeness;
freshness;
consistency;
provenance;
response contract.

A transport-level success status SHALL not automatically count as constitutional success.

23.102.4. SLO Identity

Every SLO SHALL possess:

SLO Identifier;
Reliability Profile;
SLI;
target;
comparison operator;
evaluation window;
scope;
workload class;
tenant treatment;
exclusion policy;
breach policy;
error budget;
governing authority;
lifecycle;
version;
temporal validity;
provenance.

23.102.5. SLO Types

SLO Types MAY include:

availability objective;
valid-outcome objective;
latency objective;
freshness objective;
durability objective;
recovery objective;
consistency objective;
capacity objective;
fairness objective;
provenance objective;
deployment objective;
dependency objective.

23.102.6. Evaluation Windows

Evaluation windows MAY be:

rolling;
calendar;
reporting-period aligned;
release aligned;
incident aligned;
tenant contract aligned;
assurance engagement aligned.

The window SHALL be explicit.

23.102.7. Percentiles

Latency and similar distributions SHOULD use governed percentiles where appropriate.

The Runtime SHALL preserve:

percentile definition;
aggregation scope;
sample population;
excluded observations;
tenant weighting;
outlier treatment.

23.102.8. Multi-Window Evaluation

An SLO MAY use multiple evaluation windows to detect:

fast burn;
slow burn;
sustained degradation;
reporting-period risk;
deadline risk.

23.102.9. Error Budget Identity

Every Error Budget SHALL identify:

Error Budget Identifier;
SLO;
window;
total permitted non-conformance;
consumed amount;
remaining amount;
burn rate;
forecast exhaustion;
exclusions;
governance actions;
provenance.

23.102.10. Error Budget Consumption

Error budget MAY be consumed by:

unavailable time;
invalid outcomes;
excessive latency;
excessive staleness;
incomplete provenance;
failed workflows;
failed event delivery;
failed recovery;
tenant fairness breach;
deployment regression.

23.102.11. Error Budget Governance

Error-budget state MAY trigger:

release restriction;
increased review;
capacity increase;
remediation priority;
change freeze;
rollback;
incident;
tenant notification;
assurance review;
architecture escalation.

23.102.12. Exclusions

SLO exclusions SHALL be governed.

Permitted exclusions MAY include:

approved maintenance;
tenant-caused invalid request;
explicitly excluded external force;
authorised emergency shutdown;
simulation traffic;
test traffic.

Exclusions SHALL not be used to conceal systemic failure.

23.102.13. Tenant-Level Objectives

Shared platform objectives SHALL not obscure tenant-level failure.

The Runtime SHOULD preserve per-tenant indicators for:

availability;
latency;
queue delay;
fairness;
error rate;
freshness;
data completeness;
workflow completion.

23.102.14. White-Label Objectives

White-label operators MAY define stricter SLOs.

White-label overlays SHALL not weaken mandatory Core reliability objectives.

23.102.15. External Dependency Objectives

Dependencies SHOULD possess:

observed availability;
latency;
freshness;
error rate;
rate limits;
contractual objective;
fallback capability;
data-quality objective;
provenance.

23.102.16. Data Freshness Objective

A Data Freshness Objective SHALL define:

data subject;
source;
expected update frequency;
maximum age;
observation time;
ingestion time;
processing time;
permitted lateness;
stale-state treatment;
provenance.

23.102.17. Provenance Objective

A Provenance Objective MAY define the required proportion of outcomes with complete:

Module lineage;
Component lineage;
Runtime Bundle lineage;
input lineage;
decision lineage;
validation lineage;
event lineage;
temporal lineage.

23.102.18. Objective Breach

An Objective Breach SHALL produce an identifiable event or finding containing:

breached SLO;
scope;
start;
duration;
observed value;
target;
affected tenants;
affected subjects;
error-budget impact;
incident relationship;
remediation;
provenance.

23.102.19. Objective Explanation

The Runtime SHALL explain:

what was measured;
why the objective applies;
which population was evaluated;
which exclusions applied;
whether the objective was met;
which tenants or Components were affected;
what governance action follows.

23.103. Availability, Fault Domains and Resilience

Availability Runtime maintains access to constitutionally valid capabilities according to their Reliability Profiles.

Resilience is the ability to preserve or safely restore required constitutional behaviour when Components, dependencies, networks, regions, data stores, agents or operational processes fail.

23.103.1. Fault Domain

A Fault Domain is a boundary within which one failure may affect multiple runtime subjects.

Fault Domains MAY include:

process;
container;
host;
cluster;
availability zone;
region;
cloud provider;
network;
database;
graph store;
event broker;
key service;
model provider;
identity provider;
external registry;
tenant-dedicated environment;
operational team;
software dependency.

23.103.2. Fault-Domain Identity

Every critical Fault Domain SHOULD possess:

Fault Domain Identifier;
type;
owner;
contained Components;
contained tenants;
dependencies;
failure modes;
detection;
isolation;
recovery;
provenance.

23.103.3. Failure Modes

Failure Modes MAY include:

crash;
timeout;
overload;
partial response;
stale response;
corrupt response;
inconsistent state;
data loss;
network partition;
credential failure;
key failure;
dependency throttling;
model failure;
event gap;
clock drift;
human operational failure.

23.103.4. Redundancy

Redundancy SHALL identify whether replicas are independent across relevant Fault Domains.

Multiple replicas in one Fault Domain SHALL not be represented as multi-domain resilience.

23.103.5. High Availability

High Availability MAY use:

active-active;
active-passive;
multi-zone;
multi-region;
replicated state;
stateless failover;
queue buffering;
read replicas;
cached fallback;
federated fallback.

The selected architecture SHALL match consistency and recovery requirements.

23.103.6. Failover Policy

A Failover Policy SHALL define:

trigger;
detection threshold;
source;
target;
authority;
state-transfer requirements;
consistency requirements;
traffic shift;
validation;
rollback;
tenant treatment;
provenance.

23.103.7. Automatic Failover

Automatic failover SHALL be permitted only where:

target readiness is validated;
data consistency is sufficient;
authority exists;
tenant routing is safe;
security context remains valid;
failure detection is reliable;
fallback semantics are known;
rollback exists.

23.103.8. Manual Failover

Manual failover SHALL preserve:

initiating actor;
authority;
reason;
target;
expected impact;
validation;
approval where required;
time;
provenance.

23.103.9. Split-Brain Prevention

Distributed stateful systems SHALL define split-brain prevention or resolution.

The Runtime SHALL not permit two authorities to commit incompatible constitutional state without explicit conflict representation.

23.103.10. Network Partition

Partition treatment MAY include:

suspend writes;
permit bounded local writes;
queue writes;
select authoritative partition;
use quorum;
operate read-only;
create conflict objects;
require manual intervention.

The policy SHALL be explicit by workload.

23.103.11. Circuit Breaker

A Circuit Breaker SHALL define:

protected dependency;
failure threshold;
open duration;
probe policy;
fallback;
tenant treatment;
eventing;
provenance.

23.103.12. Bulkhead

Bulkheads SHOULD isolate:

tenants;
workload classes;
Components;
external dependencies;
agents;
model providers;
queues;
thread pools;
connection pools;
regions.

23.103.13. Timeout

Every external or potentially blocking operation SHALL define a timeout compatible with:

caller deadline;
retry policy;
transaction boundary;
compensation;
tenant objective;
dependency objective.

23.103.14. Retry

Retry SHALL be governed by:

eligible failure class;
maximum attempts;
backoff;
jitter;
idempotency;
deadline;
authority revalidation;
budget;
tenant fairness;
provenance.

23.103.15. Retry Storm Prevention

The Runtime SHALL prevent coordinated retry storms through:

exponential backoff;
jitter;
retry budgets;
queueing;
circuit breaking;
admission control;
central rate control;
dependency-aware suppression.

23.103.16. Fallback

Fallback SHALL preserve:

preferred dependency;
failure reason;
fallback identity;
semantic compatibility;
freshness;
trust;
quality degradation;
tenant scope;
explanation;
provenance.

23.103.17. Cache Fallback

Cached fallback SHALL disclose:

cache age;
source;
content version;
policy version;
tenant;
validity;
freshness qualification;
provenance.

23.103.18. Read-Only Degradation

Read-only degradation MAY preserve access while preventing unsafe mutation.

The Runtime SHALL define:

permitted reads;
freshness;
pending writes;
workflow treatment;
event treatment;
tenant notification;
recovery.

23.103.19. Resilience Testing

Testing MAY include:

Component failure;
zone failure;
region failure;
dependency timeout;
stale dependency;
event-broker failure;
key-service failure;
identity-provider failure;
network partition;
storage corruption;
model-provider failure;
operator unavailability;
tenant surge.

23.103.20. Chaos Experiment

A Chaos Experiment SHALL possess:

Experiment Identifier;
hypothesis;
scope;
affected environment;
protected tenants;
failure injection;
abort conditions;
authority;
approval;
observation plan;
recovery plan;
results;
provenance.

Production experiments SHALL be bounded and governed.

23.103.21. Resilience Outcome

A Resilience Outcome SHALL preserve:

tested or actual failure;
affected Fault Domains;
degraded capabilities;
failover;
recovery;
SLO impact;
tenant impact;
findings;
explanation;
provenance.

23.104. Scalability, Capacity and Tenant Fairness

Scalability Runtime adjusts runtime resources and work distribution to meet declared capacity, latency, throughput and fairness objectives without weakening constitutional controls.

Scale SHALL remain governed by workload semantics.

23.104.1. Capacity Profile

A Capacity Profile SHALL define:

subject;
workload class;
expected demand;
peak demand;
concurrency;
throughput;
latency target;
queue capacity;
storage growth;
event volume;
graph size;
tenant entitlement;
scaling policy;
headroom;
degradation policy;
provenance.

23.104.2. Capacity Units

Capacity MAY be expressed in:

requests;
executions;
validations;
graph traversals;
events;
workflow Tasks;
agent tool calls;
model tokens;
documents;
evidence objects;
calculations;
report pages;
storage;
network volume;
compute time.

23.104.3. Workload Classes

Workload Classes MAY include:

constitutional critical;
security critical;
interactive;
regulatory deadline;
assurance;
publication;
workflow;
batch;
background;
replay;
simulation;
analytics;
agent;
maintenance.

23.104.4. Workload Identity

Every workload SHOULD identify:

Workload Identifier;
class;
tenant;
subject;
purpose;
priority;
deadline;
expected resource demand;
consistency profile;
retry policy;
cancellation policy;
provenance.

23.104.5. Capacity Entitlement

A tenant or white-label deployment MAY possess a Capacity Entitlement defining:

reserved capacity;
burst capacity;
maximum concurrency;
maximum throughput;
queue share;
storage entitlement;
model entitlement;
event entitlement;
reporting-period uplift;
emergency entitlement;
provenance.

23.104.6. Tenant Fairness

Shared capacity SHALL be allocated according to a governed Tenant Fairness Policy.

Fairness MAY consider:

entitlement;
priority;
contractual profile;
criticality;
waiting time;
deadline;
emergency status;
consumed budget;
noisy-neighbour state.

23.104.7. Fairness Invariants

Fairness invariants MAY include:

one tenant SHALL NOT exhaust all shared capacity;
low-volume tenants SHALL retain minimum service;
emergency capacity SHALL not permanently starve ordinary work;
retries SHALL count against capacity;
background work SHALL yield to critical work;
platform operations SHALL remain bounded.

23.104.8. Horizontal Scaling

Horizontal scaling MAY add or remove runtime instances.

Scaling SHALL preserve:

workload identity;
tenant isolation;
state ownership;
event ordering;
idempotency;
Component version;
Runtime Bundle;
provenance.

23.104.9. Vertical Scaling

Vertical scaling MAY increase resource allocation to one runtime instance.

It SHALL not conceal architectural capacity limits.

23.104.10. Partitioning

Partitioning MAY use:

tenant;
subject identity;
graph partition;
region;
jurisdiction;
workload class;
time;
event key;
reporting period;
organisation;
legal entity.

Partition keys SHALL preserve access, ordering and isolation semantics.

23.104.11. Sharding

Sharding SHALL define:

shard identity;
allocation policy;
tenant placement;
replication;
rebalancing;
cross-shard query;
transaction policy;
failure handling;
provenance.

23.104.12. Hot Partition Detection

The Runtime SHOULD detect:

hot tenants;
hot graph nodes;
hot event keys;
hot reports;
hot workflows;
hot agent tools;
hot time periods;
hot shards.

23.104.13. Rebalancing

Rebalancing SHALL preserve:

data integrity;
tenant scope;
event order;
graph relationships;
encryption;
policy;
availability;
provenance.

23.104.14. Autoscaling Signal

Autoscaling signals MAY include:

CPU;
memory;
queue depth;
request rate;
latency;
concurrency;
event lag;
graph workload;
model tokens;
storage growth;
deadline risk;
SLO burn.

23.104.15. Autoscaling Policy

An Autoscaling Policy SHALL define:

target subject;
signals;
thresholds;
minimum;
maximum;
scale-up rate;
scale-down rate;
cooldown;
warm-up;
tenant fairness;
failure treatment;
provenance.

23.104.16. Predictive Scaling

Predictive scaling MAY use:

reporting deadlines;
historical demand;
scheduled workflows;
tenant calendars;
known publication windows;
scenario forecasts.

Predictions SHALL not override hard safety limits.

23.104.17. Capacity Headroom

Critical capabilities SHOULD maintain governed headroom for:

failover;
traffic surge;
recovery;
replay;
maintenance;
tenant onboarding;
regulatory deadlines;
incident response.

23.104.18. Capacity Forecast

A Capacity Forecast SHALL preserve:

demand model;
assumptions;
horizon;
tenant growth;
workload mix;
Component versions;
infrastructure profile;
uncertainty;
thresholds;
provenance.

23.104.19. Capacity Exhaustion

Capacity exhaustion SHALL trigger governed behaviour such as:

admission control;
queueing;
lower-priority shedding;
scaling;
tenant throttling;
deadline escalation;
emergency capacity;
manual intervention.

23.104.20. Storage Capacity

Storage capacity SHALL account for:

primary data;
graph data;
events;
evidence;
logs;
traces;
backups;
search indexes;
vector stores;
agent memory;
retention;
legal hold;
growth uncertainty.

23.104.21. Graph Scale

Graph scaling SHALL preserve:

node identity;
relationship identity;
path correctness;
tenant partitions;
temporal versions;
provenance;
query security;
consistency.

23.104.22. Agent Scale

Agent scaling SHALL preserve:

Agent Instance identity;
authority;
tool limits;
tenant;
budget;
model capacity;
memory isolation;
human oversight capacity;
kill controls;
provenance.

23.104.23. Human Capacity

Operational capacity SHALL include human Roles required for:

approval;
assurance;
escalation;
incident response;
manual fallback;
publication;
emergency governance.

Machine scaling SHALL not create unfulfillable human gate demand.

23.104.24. Capacity Validation

HECATE SHALL validate:

workload classification;
entitlement;
fairness;
scaling limits;
partition policy;
headroom;
exhaustion behaviour;
tenant isolation;
provenance.

23.105. Concurrency, Admission Control, Backpressure and Load Shedding

The Runtime SHALL govern how simultaneous and queued work competes for finite resources.

Concurrency controls SHALL preserve correctness, fairness, ordering and tenant isolation.

23.105.1. Concurrency Profile

A Concurrency Profile SHALL define:

workload class;
maximum concurrent executions;
tenant limits;
subject locks;
transaction isolation;
queue;
priority;
deadline;
retry;
cancellation;
fairness;
provenance.

23.105.2. Admission Control

Admission Control determines whether work may enter a runtime boundary.

Admission MAY evaluate:

capacity;
tenant entitlement;
priority;
deadline;
resource estimate;
dependency health;
SLO state;
error-budget state;
security state;
recovery state;
emergency state.

23.105.3. Admission Decision

Admission Decision classes MAY include:

Admit;
Admit with Reduced Scope;
Queue;
Delay;
Redirect;
Require Approval;
Shed;
Reject;
Indeterminate.

23.105.4. Queue Identity

Every governed queue SHOULD possess:

Queue Identifier;
workload class;
tenant policy;
capacity;
ordering;
priority;
retention;
deadline policy;
dead-letter policy;
security classification;
provenance.

23.105.5. Queue Ordering

Queue ordering MAY use:

first in, first out;
priority;
deadline;
tenant fairness;
weighted fair queueing;
shortest expected processing time;
regulatory criticality;
custom governed scheduling.

23.105.6. Queue Fairness

Queue scheduling SHALL prevent indefinite starvation.

Aging MAY increase priority according to policy.

23.105.7. Backpressure

Backpressure SHALL propagate demand constraints upstream before uncontrolled overload occurs.

Backpressure mechanisms MAY include:

bounded queue;
rate limit;
stream demand signal;
delayed acknowledgement;
concurrency reduction;
producer throttling;
load-shed signal;
workflow suspension.

23.105.8. Backpressure Propagation

Backpressure propagation SHALL preserve:

source workload;
affected tenant;
affected Component;
reason;
duration;
queue state;
SLO impact;
provenance.

23.105.9. Load Shedding

Load Shedding MAY remove or reject work to preserve critical capabilities.

Shedding SHALL be governed by:

workload class;
tenant entitlement;
criticality;
deadline;
idempotency;
replayability;
contractual policy;
emergency state.

23.105.10. Prohibited Shedding

The Runtime SHALL NOT silently shed:

committed constitutional state;
security events;
critical audit events;
required provenance;
accepted transactions;
mandatory regulatory filings;
evidence under legal hold;
emergency commands.

Where such work cannot complete, explicit failure and recovery shall apply.

23.105.11. Priority Inversion

The Runtime SHOULD detect where lower-priority work blocks higher-priority work through:

locks;
resource pools;
queues;
dependencies;
human gates;
agent tools;
database transactions.

23.105.12. Concurrency Control

Concurrency control MAY include:

optimistic concurrency;
pessimistic locking;
serializable transaction;
compare-and-swap;
version vector;
lease;
single-writer partition;
append-only event model;
conflict object;
commutative merge.

23.105.13. Subject Lock

A Subject Lock SHALL identify:

subject;
lock type;
holder;
purpose;
tenant;
acquisition time;
expiration;
renewal;
fencing token where applicable;
provenance.

23.105.14. Lease

A lease SHALL be time-bounded and SHALL not remain authoritative after expiration.

Clock and fencing semantics SHALL be explicit.

23.105.15. Optimistic Concurrency

Optimistic concurrency SHALL compare expected and actual subject version or fingerprint before commit.

Conflict SHALL produce explicit reconciliation or rejection.

23.105.16. Lost Update Prevention

The Runtime SHALL prevent silent lost updates to constitutionally significant state.

23.105.17. Duplicate Work

Duplicate requests SHALL be detected using:

idempotency key;
request fingerprint;
Execution Identifier;
Event Identifier;
workflow identity;
subject version;
correlation.

23.105.18. Cancellation

Cancellation SHALL define:

cancelling authority;
cancellable state;
in-flight treatment;
side-effect treatment;
compensation;
queue removal;
eventing;
provenance.

23.105.19. Deadline

A deadline SHALL preserve:

source;
authority;
Clock Source;
due time;
time zone;
priority effect;
timeout action;
escalation;
provenance.

23.105.20. Admission and Shedding Explanation

The Runtime SHALL explain:

why work was admitted, queued or shed;
which capacity or policy applied;
tenant entitlement;
priority;
deadline;
expected delay;
alternatives;
provenance.

23.106. State Consistency, Replication, Backup and Recovery

Runtime state SHALL use explicitly declared consistency, durability, replication and recovery semantics.

A system SHALL not claim consistency, durability or recoverability without defining the relevant boundary and evidence.

23.106.1. State Classes

State MAY include:

constitutional source state;
governed operational state;
derived state;
workflow state;
event state;
graph state;
validation state;
cache state;
index state;
agent memory;
telemetry state;
backup state.

23.106.2. Authoritative State

Authoritative state SHALL identify:

system of record;
owner;
tenant;
schema;
consistency model;
durability model;
replication model;
recovery model;
provenance.

23.106.3. Consistency Profile

A Consistency Profile SHALL define:

subject;
operation;
consistency model;
read semantics;
write semantics;
transaction boundary;
replication semantics;
conflict policy;
staleness;
tenant treatment;
provenance.

23.106.4. Consistency Models

Consistency Models MAY include:

linearizable;
serializable;
snapshot;
repeatable read;
read committed;
causal;
session;
read-your-writes;
monotonic reads;
eventual;
bounded staleness;
conflict-preserving.

The selected model SHALL be explicit by capability.

23.106.5. Strong Consistency Requirements

Strong consistency MAY be required for:

Constitutional Identity;
authority assignment;
delegation;
approval;
tenant boundary;
key state;
publication state;
Runtime Bundle activation;
legal hold;
transaction commit;
non-waivable governance controls.

23.106.6. Eventual Consistency

Eventual consistency MAY be used where:

temporary divergence is acceptable;
convergence is guaranteed or monitored;
stale state is qualified;
conflict policy exists;
tenant isolation is preserved;
safety does not depend on immediate convergence.

23.106.7. Bounded Staleness

Bounded staleness SHALL define:

maximum age;
maximum version lag;
maximum event lag;
affected operations;
fallback;
breach treatment;
explanation;
provenance.

23.106.8. Replication

Replication SHALL preserve:

replica identity;
source;
target;
tenant;
data scope;
replication mode;
order;
lag;
conflict policy;
encryption;
provenance.

23.106.9. Replication Modes

Replication MAY be:

synchronous;
asynchronous;
semi-synchronous;
quorum-based;
log-based;
snapshot-based;
event-based;
federated.

23.106.10. Replication Lag

The Runtime SHALL monitor replication lag where lag affects:

authority;
security;
validation;
publication;
reporting;
event processing;
graph traversal;
recovery.

23.106.11. Replica Read

Replica reads SHALL disclose or enforce:

freshness;
consistency;
tenant scope;
read purpose;
invalidation state;
fallback.

23.106.12. Conflict Object

Where concurrent or replicated state cannot be safely merged, the Runtime SHALL create a governed Conflict Object rather than silently choose a winner.

23.106.13. Merge Policy

Merge MAY use:

authority precedence;
causal order;
temporal order;
semantic merge;
commutative data type;
explicit resolution;
version selection;
coexistence.

Last-write-wins SHALL not be the default for constitutionally significant state.

23.106.14. Durability Profile

A Durability Profile SHALL define:

state subject;
acknowledgement boundary;
replication requirement;
storage class;
retention;
backup;
recovery;
integrity;
provenance.

23.106.15. Backup Object

Every governed backup SHALL possess:

Backup Identifier;
source;
tenant scope;
snapshot time;
transaction boundary;
content scope;
encryption;
key reference;
retention;
legal hold;
integrity digest;
restoration profile;
provenance.

23.106.16. Backup Types

Backup Types MAY include:

full;
incremental;
differential;
continuous;
snapshot;
event-log;
graph snapshot;
configuration;
Runtime Bundle;
evidence vault;
key metadata;
tenant export.

23.106.17. Backup Isolation

Backups SHALL preserve:

tenant isolation;
classification;
residency;
encryption;
retention;
access control;
legal hold;
provenance.

23.106.18. Recovery Point Objective

A Recovery Point Objective, abbreviated RPO, defines the maximum tolerable data-loss interval for a governed subject.

RPO SHALL identify:

subject;
workload class;
tenant treatment;
time dimension;
objective;
measurement;
breach policy;
provenance.

23.106.19. Recovery Time Objective

A Recovery Time Objective, abbreviated RTO, defines the target time to restore a governed capability to an approved state.

RTO SHALL distinguish:

infrastructure restoration;
service availability;
data recovery;
consistency restoration;
validation completion;
tenant readiness;
full operational restoration.

23.106.20. Restore Request

Every authoritative restore SHALL originate from a governed Restore Request identifying:

Restore Request Identifier;
subject;
source backup or log;
target environment;
tenant;
requested point;
authority;
purpose;
isolation;
validation;
side effects;
provenance.

23.106.21. Point-in-Time Recovery

Point-in-time recovery SHALL identify:

recovery instant;
transaction boundary;
event boundary;
consistency profile;
included state;
excluded state;
external dependencies;
provenance.

23.106.22. Restore Validation

A restore SHALL be validated for:

identity;
integrity;
completeness;
tenant isolation;
schema compatibility;
Runtime Bundle compatibility;
policy compatibility;
event continuity;
graph integrity;
authority state;
provenance.

23.106.23. Recovery State

Recovery State MAY include:

Requested;
Preparing;
Restoring;
Replaying;
Reconciling;
Validating;
Partially Restored;
Restored;
Failed;
Aborted.

23.106.24. Recovery Reconciliation

Recovery SHALL reconcile:

in-flight transactions;
queued work;
event offsets;
workflow state;
agent state;
external side effects;
approvals;
assurance state;
publications;
caches;
indexes.

23.106.25. Recovery Drill

Recovery drills SHOULD test:

backup availability;
key availability;
restore procedure;
event replay;
tenant isolation;
RPO;
RTO;
operator readiness;
validation;
evidence.

23.106.26. Recovery Outcome

A Recovery Outcome SHALL preserve:

Restore Request;
source;
target;
recovered point;
data loss;
duration;
consistency;
tenant impact;
validation;
residual issues;
explanation;
provenance.

23.107. Deployment, Change, Release and Runtime Drift

Runtime change SHALL be governed as a constitutional operation.

Deployment success SHALL require more than successful infrastructure rollout.

A deployment SHALL be considered complete only when the intended runtime state is active, validated, observable and recoverable.

23.107.1. Change Object

Every material runtime change SHALL possess:

Change Identifier;
change type;
purpose;
affected Modules;
affected Components;
affected tenants;
affected Runtime Bundles;
source artefacts;
target state;
risk;
authority;
approvals;
validation;
deployment plan;
rollback plan;
provenance.

23.107.2. Change Types

Change Types MAY include:

code;
configuration;
schema;
data migration;
graph migration;
policy;
Runtime Bundle;
infrastructure;
dependency;
model;
agent instruction;
tool;
workflow;
event schema;
security control;
capacity;
region;
tenant migration.

23.107.3. Change Risk

Risk classification MAY consider:

constitutional criticality;
tenant count;
data migration;
security impact;
authority impact;
publication impact;
assurance impact;
rollback complexity;
external dependency;
operational novelty;
historical failure.

23.107.4. Release Object

A Release Object SHALL identify:

Release Identifier;
included Changes;
artefacts;
Runtime Bundle;
target environments;
compatibility;
migration;
feature controls;
approvals;
validation;
release window;
rollback;
provenance.

23.107.5. Deployment Object

A Deployment Object SHALL identify:

Deployment Identifier;
Release;
environment;
region;
tenant scope;
workload identity;
Component versions;
configuration;
start and completion time;
strategy;
validation;
outcome;
provenance.

23.107.6. Deployment Strategies

Strategies MAY include:

rolling;
blue-green;
canary;
shadow;
ring;
tenant cohort;
region cohort;
feature-controlled;
immutable replacement;
emergency deployment.

23.107.7. Canary Deployment

A canary SHALL define:

cohort;
tenant protections;
traffic share;
duration;
success indicators;
failure indicators;
error-budget limits;
expansion criteria;
rollback criteria;
provenance.

23.107.8. Shadow Deployment

A shadow deployment MAY process mirrored traffic without authoritative side effects.

It SHALL preserve:

source traffic;
redaction;
tenant policy;
output comparison;
side-effect prevention;
cost;
provenance.

23.107.9. Feature Control

A feature control SHALL possess:

Feature Identifier;
purpose;
default state;
tenant scope;
cohort;
authority;
effective time;
expiration;
dependency;
observability;
rollback;
provenance.

Feature flags SHALL not become permanent ungoverned policy engines.

23.107.10. Kill Switch

A kill switch SHALL define:

target;
authority;
trigger;
scope;
safe state;
dependent capabilities;
notification;
recovery;
provenance.

23.107.11. Schema Change

Schema change SHALL evaluate:

backward compatibility;
forward compatibility;
data migration;
event compatibility;
graph compatibility;
API compatibility;
tenant overlay compatibility;
rollback;
historical replay.

23.107.12. Expand-and-Contract Migration

Where appropriate, schema migration SHOULD use:

additive expansion;
dual compatibility;
data backfill;
consumer migration;
validation;
old-path removal.

Each phase SHALL be identifiable.

23.107.13. Data Migration

A Data Migration SHALL preserve:

source identity;
target identity;
mapping;
transformation;
validation;
record counts;
rejected records;
reconciliation;
tenant scope;
rollback;
provenance.

23.107.14. Graph Migration

Graph migration SHALL preserve:

node identity;
relationship identity;
endpoint roles;
temporal state;
tenant;
provenance;
path semantics;
inference behaviour.

23.107.15. Event-Schema Migration

Event migration SHALL preserve:

Event Type;
source version;
target version;
compatibility;
consumer readiness;
replay;
correction;
provenance.

23.107.16. Runtime Bundle Activation

Activation SHALL validate:

bundle identity;
signatures;
compiler lineage;
dependencies;
environment;
tenant overlays;
Component compatibility;
migration readiness;
rollback;
provenance.

23.107.17. Deployment Gate

A deployment MAY require:

tests;
HECATE validation;
security validation;
capacity validation;
resilience validation;
approval;
assurance;
change window;
backup;
rollback readiness;
tenant notification.

23.107.18. Progressive Delivery

Progressive delivery SHALL use explicit expansion criteria and SHALL stop or rollback when:

error budget burns excessively;
semantic validity drops;
tenant isolation fails;
latency breaches;
data freshness breaches;
security finding occurs;
provenance is incomplete;
recovery readiness fails.

23.107.19. Rollback

Rollback SHALL distinguish:

artefact rollback;
configuration rollback;
schema rollback;
data rollback;
policy rollback;
traffic rollback;
Runtime Bundle rollback.

Not every state change is safely reversible.

23.107.20. Roll-Forward

Where rollback is unsafe, a governed roll-forward correction MAY apply.

The Runtime SHALL preserve the failed state, correction and impact.

23.107.21. Runtime Drift

Runtime Drift is a material difference between approved runtime state and observed runtime state.

Drift MAY affect:

Component version;
Runtime Bundle;
configuration;
policy;
schema;
dependency;
network;
capacity;
model;
agent instruction;
tool;
secret;
feature control;
tenant overlay.

23.107.22. Drift Detection

Drift detection SHALL compare:

approved manifest;
deployed manifest;
workload attestation;
configuration digest;
policy digest;
Runtime Bundle digest;
Component inventory;
environment;
tenant overlays.

23.107.23. Drift Treatment

Material drift MAY trigger:

finding;
deployment suspension;
secret restriction;
workload quarantine;
rollback;
redeployment;
incident;
emergency action;
provenance preservation.

23.107.24. Change Freeze

A change freeze MAY be activated due to:

regulatory deadline;
publication window;
assurance period;
depleted error budget;
incident;
recovery;
high-risk migration;
emergency.

Exceptions SHALL be governed.

23.107.25. Deployment Outcome

A Deployment Outcome SHALL preserve:

Change;
Release;
Deployment;
strategy;
cohort;
artefacts;
validation;
SLO impact;
tenant impact;
rollback state;
drift state;
explanation;
provenance.

23.108. Observability and Operational Intelligence

Observability Runtime provides the governed signals and analytical capability required to understand runtime state, explain failures, evaluate objectives, detect drift and reconstruct operations.

Observability SHALL preserve context while minimising sensitive data.

23.108.1. Observability Signals

Signals MAY include:

metrics;
logs;
traces;
Constitutional Events;
profiles;
health checks;
audit records;
runtime manifests;
deployment records;
security events;
workflow events;
agent events;
validation findings;
operational annotations.

23.108.2. Signal Identity

Every material signal SHOULD preserve:

Signal Identifier;
signal type;
Module;
Component;
tenant;
environment;
subject;
execution;
workflow;
agent;
Runtime Bundle;
time;
classification;
provenance.

23.108.3. Metric Object

A Metric Definition SHALL identify:

Metric Identifier;
semantic definition;
unit;
type;
labels;
scope;
aggregation;
sampling;
retention;
cardinality policy;
source;
provenance.

23.108.4. Metric Types

Metric Types MAY include:

counter;
gauge;
histogram;
distribution;
set;
state;
rate;
ratio;
error budget;
business-operational metric;
semantic-validity metric.

23.108.5. Label Governance

Metric labels SHALL be governed to prevent:

tenant leakage;
personal-data leakage;
unbounded cardinality;
secret exposure;
identifier proliferation;
inconsistent naming.

23.108.6. Log Object

A Log Record SHOULD identify:

time;
severity;
Module;
Component;
tenant;
environment;
execution;
event;
message type;
structured fields;
classification;
provenance.

23.108.7. Logging Prohibition

Logs SHALL NOT contain uncontrolled:

secrets;
credentials;
private keys;
full model prompts where prohibited;
protected personal data;
cross-tenant content;
privileged evidence;
unredacted tokens.

23.108.8. Trace Object

A Trace SHALL preserve:

Trace Identifier;
root operation;
spans;
parent-child relationships;
Module lineage;
Component lineage;
tenant;
Runtime Context;
start and end;
status;
events;
attributes;
provenance.

23.108.9. Context Propagation

Trace and correlation context SHALL propagate through:

APIs;
services;
events;
workflows;
agents;
tools;
database calls;
graph calls;
external integrations.

Loss of correlation context SHALL be observable.

23.108.10. Span Semantics

A span MAY represent:

request;
validation;
resolution;
reasoning;
computation;
workflow Task;
agent action;
tool call;
database operation;
graph query;
event publication;
event consumption;
external call.

23.108.11. Health Check

A Health Check SHALL distinguish:

liveness;
readiness;
dependency readiness;
semantic readiness;
tenant readiness;
recovery readiness;
security readiness.

A process being alive SHALL not imply the capability is ready.

23.108.12. Synthetic Monitoring

Synthetic monitoring MAY test:

tenant login;
CRP resolution;
HECATE validation;
graph query;
workflow completion;
report generation;
event delivery;
public lookup;
agent tool flow;
cross-region failover.

Synthetic data SHALL be isolated.

23.108.13. Real-User and Workload Monitoring

Observed workload monitoring MAY evaluate:

latency;
failure;
user journey;
tenant fairness;
browser performance;
workflow completion;
report generation;
external dependency.

Privacy and tenant policy SHALL apply.

23.108.14. Alert Rule

Every material Alert Rule SHALL possess:

Alert Rule Identifier;
signal;
condition;
window;
severity;
scope;
tenant treatment;
suppression;
routing;
runbook;
lifecycle;
provenance.

23.108.15. Alert Quality

The Runtime SHOULD monitor:

false positives;
false negatives;
duplicate alerts;
unowned alerts;
unactionable alerts;
alert latency;
acknowledgement latency;
stale alerts.

23.108.16. Alert Routing

Routing SHALL consider:

affected Module;
affected Component;
tenant;
severity;
jurisdiction;
security classification;
operational Role;
emergency state.

23.108.17. Operational Dashboard

Dashboards SHALL be governed views, not sources of truth.

They SHOULD identify:

data source;
refresh time;
tenant scope;
environment;
metric definitions;
exclusions;
staleness;
provenance.

23.108.18. Operational Annotation

Annotations MAY mark:

deployment;
configuration change;
incident;
failover;
recovery;
change freeze;
policy activation;
Runtime Bundle activation;
tenant migration;
reporting deadline.

23.108.19. Telemetry Sampling

Sampling SHALL preserve sufficient evidence for:

SLO evaluation;
incident detection;
trace reconstruction;
tenant fairness;
security;
assurance.

Sampling policy SHALL be explicit.

23.108.20. Telemetry Retention

Retention SHALL consider:

operational need;
incident investigation;
security;
legal hold;
privacy;
tenant policy;
cost;
assurance;
provenance.

23.108.21. Observability Availability

Critical observability SHOULD remain available during service degradation.

Loss of observability SHALL itself produce a reliability finding.

23.108.22. Operational Intelligence

Operational Intelligence MAY derive:

anomaly;
capacity forecast;
incident precursor;
error-budget forecast;
dependency risk;
tenant fairness risk;
change risk;
recovery risk;
cost anomaly;
energy anomaly.

Derived intelligence SHALL remain distinguishable from canonical operational facts.

23.108.23. HECATE Validation

HECATE SHALL validate:

signal identity;
metric semantics;
tenant scope;
classification;
alert applicability;
dashboard provenance;
trace completeness;
log redaction;
operational-intelligence activation;
provenance.

23.109. Incident Operations, Continuity and Disaster Recovery

Operational incidents SHALL be governed through explicit detection, ownership, containment, continuity, recovery, validation and review.

Security incidents remain governed by Part IX, while this section governs the broader operational incident model and its coordination with security.

23.109.1. Operational Incident

An Operational Incident is a governed disruption or material degradation affecting runtime capability, correctness, freshness, capacity, recoverability, tenant service or operational control.

23.109.2. Incident Types

Incident Types MAY include:

service outage;
partial outage;
latency degradation;
data freshness failure;
data consistency failure;
event backlog;
queue saturation;
capacity exhaustion;
dependency failure;
region failure;
deployment regression;
graph corruption;
workflow blockage;
agent-runtime failure;
report-generation failure;
backup failure;
restore failure;
observability failure;
operational security incident.

23.109.3. Incident Identity

Every incident SHALL possess:

Incident Identifier;
incident type;
severity;
affected capabilities;
affected tenants;
affected Modules;
affected Components;
start time;
detection time;
acknowledgement time;
containment time;
recovery time;
owner;
commander where applicable;
Runtime Context;
status;
provenance.

23.109.4. Incident Severity

Severity SHALL consider:

constitutional impact;
tenant impact;
regulatory impact;
publication impact;
assurance impact;
data integrity;
security;
duration;
scope;
recoverability;
deadline risk.

23.109.5. Incident Roles

Incident Roles MAY include:

Incident Commander;
Operations Lead;
Module Owner;
Component Owner;
Communications Lead;
Tenant Liaison;
Security Lead;
Data Recovery Lead;
Legal or Compliance Lead;
Assurance Liaison;
Scribe.

Roles SHALL possess authority and clear responsibility.

23.109.6. Incident Lifecycle

Detected
        │
        ▼
Triaged
        │
        ▼
Declared
        │
        ▼
Contained
        │
        ▼
Stabilised
        │
        ▼
Recovered
        │
        ▼
Validated
        │
        ▼
Reviewed
        │
        ▼
Closed

23.109.7. Incident Declaration

Declaration SHALL identify:

declaring actor;
authority;
incident type;
severity;
affected scope;
initial evidence;
communication policy;
response plan;
provenance.

23.109.8. Runbook

A Runbook is a governed operational artefact defining the response to a class of condition or incident.

Every critical Runbook SHALL possess:

Runbook Identifier;
purpose;
trigger;
prerequisites;
authority;
steps;
decision points;
validation;
rollback;
escalation;
communication;
owner;
lifecycle;
version;
provenance.

23.109.9. Runbook Execution

Runbook execution SHALL preserve:

Runbook version;
actor or automation;
completed steps;
skipped steps;
deviations;
approvals;
outputs;
time;
provenance.

23.109.10. Automated Remediation

Automated remediation MAY perform bounded actions where:

authority exists;
trigger is validated;
action is idempotent or compensable;
scope is bounded;
safe state exists;
rollback exists;
audit is complete.

23.109.11. Communication

Incident communication SHALL distinguish:

confirmed facts;
hypotheses;
affected scope;
unavailable information;
current mitigation;
expected next update;
tenant-specific impact;
confidentiality.

23.109.12. Tenant Notification

Tenant notification MAY be required by:

contractual objective;
severity;
security;
data integrity;
reporting deadline;
assurance impact;
regulatory obligation.

Cross-tenant information SHALL remain protected.

23.109.13. Business Continuity

A Business Continuity Profile SHALL define how critical capability continues during disruption.

It MAY include:

alternate region;
alternate provider;
manual process;
read-only mode;
queued processing;
reduced capability;
paper or offline evidence process;
tenant communication;
recovery priority;
provenance.

23.109.14. Continuity Priority

Recovery priority SHALL consider:

constitutional criticality;
security;
regulatory deadline;
tenant impact;
data-loss risk;
assurance;
dependency order;
human safety;
environmental impact.

23.109.15. Disaster Declaration

A Disaster Declaration SHALL identify:

disaster type;
declaring authority;
affected Fault Domains;
affected tenants;
continuity mode;
recovery target;
emergency authority;
communication;
provenance.

23.109.16. Disaster Recovery Plan

A Disaster Recovery Plan SHALL define:

protected capabilities;
RPO;
RTO;
recovery sites;
backup sources;
key recovery;
identity recovery;
network recovery;
data restore;
event replay;
graph restore;
workflow reconciliation;
agent treatment;
tenant validation;
failback;
testing;
provenance.

23.109.17. Recovery Sequence

Recovery SHALL respect dependencies.

A reference sequence MAY include:

security and identity;
cryptographic trust;
network and control plane;
authoritative data stores;
event infrastructure;
constitutional graph;
HECATE and CRP;
workflow and agent runtime;
reporting and publication;
analytics and non-critical services.

The actual sequence SHALL be profile-governed.

23.109.18. Failback

Failback SHALL define:

target;
readiness;
data synchronization;
consistency;
traffic shift;
validation;
tenant impact;
rollback;
provenance.

23.109.19. Continuity Exercise

Continuity exercises MAY include:

tabletop exercise;
backup restore;
region failover;
provider failover;
identity outage;
key-service outage;
event replay;
manual workflow;
agent shutdown;
tenant communication.

23.109.20. Post-Incident Review

A review SHALL identify:

timeline;
impact;
detection;
response;
root cause;
contributing factors;
control gaps;
decision quality;
tenant impact;
SLO impact;
evidence;
corrective action;
preventive action;
provenance.

23.109.21. Blamelessness and Accountability

Operational review SHOULD avoid personal blame while preserving accountability for:

authority;
decisions;
control ownership;
unresolved risk;
policy violations;
remediation.

23.109.22. Incident Finding

Material control gaps SHALL create governed Findings and Remediation Tasks.

23.109.23. Incident Closure

Closure SHALL require:

service state reconciled;
recovery validated;
tenant impact assessed;
required notifications completed;
evidence sealed;
findings created;
ownership assigned;
residual risk accepted;
provenance complete.

23.110. Performance, Cost and Sustainability Operations

Runtime performance, cost and environmental resource use SHALL be governed together where trade-offs affect reliability, tenant fairness or constitutional outcomes.

Cost reduction SHALL NOT silently weaken constitutional guarantees.

Sustainability optimisation SHALL NOT conceal shifted impact, reduced assurance or degraded data quality.

23.110.1. Performance Profile

A Performance Profile SHALL define:

subject;
workload;
latency;
throughput;
concurrency;
resource budget;
scaling;
test method;
tenant treatment;
degradation;
provenance.

23.110.2. Performance Budget

Performance budgets MAY apply to:

API latency;
graph traversal;
validation;
reasoning;
computation;
workflow transition;
report generation;
event processing;
agent tool call;
model response;
publication;
recovery.

23.110.3. Performance Test

A governed Performance Test SHALL preserve:

test identity;
workload model;
environment;
Component versions;
Runtime Bundle;
tenant mix;
data scale;
duration;
results;
bottlenecks;
limitations;
provenance.

23.110.4. Load Model

A Load Model SHALL identify:

request distribution;
tenant distribution;
burst;
concurrency;
data scale;
graph shape;
workflow mix;
event mix;
agent mix;
reporting deadlines;
uncertainty.

23.110.5. Benchmark Governance

Benchmarks SHALL not be compared without declaring:

workload;
environment;
data;
versions;
cache state;
consistency;
tenant mix;
measurement method;
exclusions.

23.110.6. Cost Object

A Runtime Cost Object MAY preserve:

Cost Identifier;
subject;
Module;
Component;
tenant;
workload;
resource type;
period;
quantity;
unit cost;
allocation method;
currency;
provenance.

23.110.7. Cost Allocation

Cost MAY be allocated by:

tenant;
white-label deployment;
Module;
Component;
workflow;
agent;
tool;
report;
event volume;
storage;
compute;
model use;
external dependency.

Allocation SHALL be explainable and reconciled.

23.110.8. Cost Budget

A Cost Budget SHALL define:

scope;
period;
amount;
currency;
owner;
thresholds;
forecast;
alerting;
escalation;
exceptions;
provenance.

23.110.9. Cost Anomaly

A Cost Anomaly SHALL preserve:

subject;
expected cost;
observed cost;
variance;
cause;
tenant impact;
reliability impact;
remediation;
provenance.

23.110.10. Cost Optimisation

Optimisation MAY include:

resource rightsizing;
scheduling;
storage tiering;
cache improvement;
query optimisation;
batching;
model selection;
workload shifting;
compression;
retention tuning;
idle-resource reduction.

23.110.11. Optimisation Safety

Cost optimisation SHALL validate that it does not violate:

SLOs;
consistency;
freshness;
tenant fairness;
security;
assurance;
recovery objectives;
provenance retention;
legal hold;
publication requirements.

23.110.12. Sustainability Operations

Sustainability Operations MAY govern:

energy use;
carbon intensity;
water use where measurable;
hardware utilisation;
storage footprint;
network transfer;
model consumption;
workload scheduling;
infrastructure lifecycle;
e-waste-related procurement attributes.

23.110.13. Operational Environmental Metric

An Operational Environmental Metric SHALL preserve:

Metric Identifier;
subject;
boundary;
period;
activity data;
factor;
methodology;
location;
market basis where relevant;
uncertainty;
provenance.

23.110.14. Energy-Aware Scheduling

Non-urgent workloads MAY be scheduled according to:

energy availability;
carbon intensity;
region;
deadline;
tenant policy;
data residency;
capacity;
reliability.

Scheduling SHALL not violate jurisdiction, security, SLO or contractual constraints.

23.110.15. Carbon-Aware Workload Shift

A workload shift SHALL preserve:

source region;
target region;
carbon rationale;
data residency;
security;
latency;
availability;
consistency;
energy source evidence;
provenance.

23.110.16. Resource Efficiency

Efficiency MAY be evaluated as:

valid outcomes per compute unit;
validations per energy unit;
reports per compute unit;
graph queries per resource unit;
event throughput per resource unit;
agent outcomes per model token;
storage per retained evidence unit.

23.110.17. Rebound Effect

Operational optimisation SHOULD assess whether lower unit cost or energy use causes increased total demand that offsets expected benefit.

23.110.18. Sustainability Budget

A Sustainability Budget MAY define:

scope;
period;
energy;
emissions;
water;
storage;
model use;
owner;
thresholds;
escalation;
provenance.

23.110.19. Model Efficiency

AI and agent operations SHOULD track:

model identity;
task;
tokens;
latency;
tool calls;
compute estimate where available;
cost;
quality;
validation success;
retries;
provenance.

Larger models SHALL not be assumed superior for every constitutional task.

23.110.20. Data Retention Efficiency

Retention optimisation SHALL balance:

constitutional evidence;
legal hold;
assurance;
replay;
privacy;
cost;
energy;
deletion authority.

23.110.21. Performance Regression

A regression SHALL identify:

baseline;
current version;
workload;
metric change;
affected tenant;
SLO impact;
cost impact;
energy impact;
remediation;
provenance.

23.110.22. Cost and Sustainability Explanation

The Runtime SHALL explain:

resource consumption;
allocation;
optimisation decision;
reliability trade-off;
tenant impact;
environmental boundary;
uncertainty;
provenance.

23.111. Operational Governance, Evidence, Provenance and Conformance

Operational Governance is the governed control system through which reliability, capacity, change, observability, recovery, cost and sustainability operations remain accountable.

Operational Evidence demonstrates that runtime operations were performed according to approved profiles, runbooks, authority, controls and objectives.

Operational Evidence SHALL be captured as operations occur.

23.111.1. Operational Role

Operational Roles MAY include:

Platform Operator;
Module Operator;
Component Owner;
Reliability Engineer;
Database Operator;
Graph Operator;
Security Operator;
Release Manager;
Incident Commander;
Capacity Manager;
Continuity Manager;
Cost Owner;
Sustainability Operations Owner;
Tenant Operations Liaison.

Roles SHALL resolve through the Constitutional Role Registry.

23.111.2. Operational Authority

Operational authority SHALL be explicit for:

deployment;
rollback;
failover;
restore;
secret rotation;
key operation;
capacity change;
tenant migration;
change freeze;
emergency action;
incident declaration;
disaster declaration;
data correction;
event replay.

Technical administrator access SHALL not establish full operational authority.

23.111.3. Operational Policy

Operational Policies MAY govern:

on-call;
change;
release;
deployment;
rollback;
capacity;
maintenance;
backup;
restore;
incident;
continuity;
disaster recovery;
observability;
cost;
sustainability;
decommissioning.

Every policy SHALL be versioned and provenance-preserving.

23.111.4. Maintenance Window

A Maintenance Window SHALL identify:

scope;
affected tenants;
start;
end;
expected impact;
permitted actions;
authority;
approvals;
communication;
rollback;
provenance.

23.111.5. Operational Task

Every material Operational Task SHOULD preserve:

Task Identifier;
purpose;
subject;
operator;
authority;
Runbook;
inputs;
actions;
outputs;
validation;
time;
provenance.

23.111.6. Operational Evidence Object

An Operational Evidence Object SHALL possess:

Evidence Identifier;
evidence type;
operation;
subject;
operator or automation;
authority;
Runtime Context;
time;
integrity;
retention;
classification;
provenance.

23.111.7. Evidence Types

Operational Evidence MAY include:

SLO evaluation;
error-budget state;
deployment record;
change approval;
runbook execution;
failover record;
restore record;
backup verification;
capacity forecast;
load test;
chaos experiment;
incident timeline;
communication record;
recovery validation;
attestation;
cost report;
sustainability report;
decommissioning record.

23.111.8. Operational Decision Receipt

High-impact operations SHOULD produce an Operational Decision Receipt containing:

operation;
subject;
authority;
policy;
Runtime Context;
preconditions;
decision;
executed action;
result;
validation;
tenant impact;
Module lineage;
Component lineage;
timestamps;
provenance.

23.111.9. Runbook Evidence

Runbook evidence SHALL preserve:

Runbook identity and version;
trigger;
actor;
completed steps;
skipped steps;
deviations;
outputs;
approvals;
validation;
outcome;
provenance.

23.111.10. Deployment Evidence

Deployment evidence SHALL preserve:

Change;
Release;
Deployment;
artefacts;
Runtime Bundle;
cohort;
tests;
approvals;
metrics;
SLO impact;
rollback state;
provenance.

23.111.11. Capacity Evidence

Capacity evidence SHALL preserve:

forecast;
assumptions;
entitlements;
observed demand;
scaling;
fairness;
exhausted resources;
tenant impact;
remediation;
provenance.

23.111.12. Recovery Evidence

Recovery evidence SHALL preserve:

Restore Request;
source backup;
RPO;
RTO;
recovered state;
replay;
reconciliation;
validation;
residual gaps;
provenance.

23.111.13. Continuity Evidence

Continuity evidence SHALL preserve:

continuity profile;
exercise or incident;
affected capabilities;
alternate operation;
recovery;
tenant communication;
findings;
provenance.

23.111.14. Evidence Integrity

Operational Evidence MAY be protected through:

cryptographic hashes;
digital signatures;
trusted timestamps;
append-only stores;
immutable event streams;
transparency logs;
evidence vaults.

23.111.15. Evidence Completeness

Completeness MAY be classified as:

complete;
complete with controlled redaction;
partially complete;
materially incomplete;
reconstructed;
disputed;
unavailable.

Materially incomplete evidence SHALL prevent unqualified high-assurance operational conclusions.

23.111.16. Operational Explanation

Every high-impact operational action SHALL be explainable in terms of:

why it was required;
which profile and policy applied;
who or what had authority;
what scope was affected;
which risks were considered;
what was changed;
what validation occurred;
what tenant impact occurred;
how rollback or recovery was handled.

23.111.17. Operational Events

The Runtime SHOULD produce events including:

SLOBreached;
ErrorBudgetExhausted;
CapacityThresholdReached;
WorkloadShed;
FailoverStarted;
FailoverCompleted;
RecoveryStarted;
RecoveryValidated;
DeploymentStarted;
DeploymentCompleted;
DeploymentRolledBack;
DriftDetected;
IncidentDeclared;
IncidentContained;
IncidentRecovered;
ChangeFreezeActivated;
ChangeFreezeEnded;
CostAnomalyDetected;
SustainabilityBudgetBreached.

23.111.18. Operational Replay

The Runtime SHALL support replay of:

SLO evaluation;
admission decision;
scaling decision;
failover;
deployment;
incident timeline;
restore;
event replay;
recovery validation;
cost allocation;
environmental calculation.

23.111.19. Operational Diff

An Operational Diff SHOULD identify changes in:

Reliability Profile;
SLO;
error budget;
capacity;
topology;
Component version;
Runtime Bundle;
deployment;
configuration;
consistency;
recovery objective;
cost;
sustainability metric;
incident state.

23.111.20. Operational Impact Analysis

Operational changes SHALL support impact analysis over:

tenants;
white-label deployments;
Modules;
Components;
Runtime Bundles;
workflows;
agents;
events;
graphs;
reports;
disclosures;
publications;
assurance conclusions;
Security Profiles;
Reliability Profiles.

23.111.21. Pergamum Pulse Integration

Pergamum Pulse MAY derive intelligence including:

SLO risk;
error-budget exhaustion forecast;
capacity exhaustion;
tenant fairness risk;
dependency fragility;
repeated failover;
deployment risk;
runtime drift;
recovery weakness;
observability gaps;
incident recurrence;
runbook weakness;
cost anomaly;
model inefficiency;
energy anomaly;
Module-level reliability risk;
Component-level reliability risk;
white-label divergence;
operational debt.

Pergamum Pulse SHALL preserve:

Module lineage;
Component lineage;
tenant lineage;
Reliability Profile lineage;
SLO lineage;
workload lineage;
deployment lineage;
Runtime Bundle lineage;
incident lineage;
recovery lineage;
cost lineage;
environmental metric lineage;
temporal validity;
provenance.

Derived intelligence SHALL remain Intelligence Layer assertions until governed activation.

23.111.22. Reliability and Operations Conformance Suite

The Constitutional Compiler Framework SHOULD generate a Reliability, Scale and Operations Conformance Suite containing:

semantically valid-success cases;
SLO evaluation cases;
error-budget cases;
degraded-mode cases;
dependency-failure cases;
retry-storm cases;
circuit-breaker cases;
failover cases;
split-brain cases;
tenant-fairness cases;
capacity-exhaustion cases;
backpressure cases;
load-shedding cases;
concurrency-conflict cases;
replication-lag cases;
backup-restore cases;
RPO and RTO cases;
deployment-canary cases;
rollback cases;
drift-detection cases;
observability-context cases;
incident-response cases;
continuity cases;
disaster-recovery cases;
cost-allocation cases;
sustainability-operations cases;
operational-provenance cases.

Part X Conformance

A Constitutional Runtime Framework implementation conforms to Part X where it:

treats reliability as preservation of constitutional correctness, availability, freshness, consistency, recoverability and provenance;
represents Reliability Profiles, SLIs, SLOs and Error Budgets as governed objects;
measures semantic success rather than transport success alone;
preserves tenant-level and white-label-level reliability visibility;
classifies capabilities and workloads by constitutional criticality;
declares dependencies, Fault Domains, failover, fallback and degradation policies explicitly;
prohibits graceful degradation from weakening mandatory constitutional controls;
prevents retries, failover and caching from altering semantic meaning silently;
governs capacity, scaling and workload scheduling through explicit profiles;
preserves tenant entitlements and fairness under shared load;
supports admission control, backpressure, bounded queues and governed load shedding;
prevents lower-priority or retrying work from starving constitutionally critical work;
declares consistency, durability, replication and staleness semantics by capability;
prevents silent lost updates and unsafe last-write-wins resolution;
represents backups, RPOs, RTOs, restores and recovery outcomes as governed artefacts;
validates restored state before ordinary operation resumes;
governs Changes, Releases and Deployments through identity, authority, validation and rollback;
preserves exact Component, artefact, configuration and Runtime Bundle lineage;
detects and governs Runtime Drift;
treats observability signals as governed, classified and provenance-preserving data;
preserves Module and Component lineage across metrics, logs, traces, alerts and incidents;
distinguishes liveness, readiness, semantic readiness, tenant readiness and recovery readiness;
represents Operational Incidents, Runbooks, continuity plans and disaster recovery as governed objects;
preserves incident authority, timeline, tenant impact, recovery validation and evidence;
governs performance, cost and sustainability trade-offs without weakening constitutional obligations;
supports cost, energy and environmental allocation with explicit boundaries and methods;
captures Operational Evidence as operations occur;
supports operational replay, diff and impact analysis;
preserves both Module and Component lineage;
prevents technical restoration from being represented as complete recovery before semantic, tenant, security and provenance validation;
prevents dashboards, alerts or infrastructure state from becoming the sole source of constitutional operational truth;
provides a conformance suite covering reliability, scale, recovery, deployment, observability and operational governance.

Part X Foundational Principle

Reliability, Scale and Operations Runtime is the governed constitutional mechanism through which ZAYAZ preserves valid service, predictable capacity, tenant fairness, recoverable state, safe change and independently verifiable operations across normal demand, partial failure, incident, recovery and growth.

Availability SHALL not be treated as correctness. A successful response SHALL not be treated as a valid outcome unless required authority, consistency, freshness, validation and provenance obligations are satisfied. Scaling SHALL not weaken tenant isolation or fairness. Retry, failover, fallback and caching SHALL not silently change constitutional meaning. Recovery SHALL not be declared complete until restored state, event continuity, graph integrity, authority, tenant boundaries and Runtime Bundle compatibility have been validated.

Every material operation SHALL preserve its Reliability Profile, SLOs, Error Budgets, workload class, tenant scope, capacity state, consistency profile, deployment state, Runtime Bundle, Fault Domains, incident state, recovery state, cost and sustainability implications, Module lineage, Component lineage and complete Operational Provenance.

By making reliability objective-driven, scale tenant-aware, change progressive, recovery validated, observability contextual and operations evidence-preserving, ZAYAZ can operate as an elite white-label ESG platform at global scale without sacrificing constitutional integrity, regulatory assurance, semantic correctness or accountable governance.

GitHub Repo Request for Change (RFC)

Part X — Reliability, Scale and Operations​

23.101. Reliability Runtime​

23.101.1. Reliability Purpose​

23.101.2. Reliability Subject​

23.101.3. Reliability Profile​

23.101.4. Reliability Profile Types​

23.101.5. Profile Resolution​

23.101.6. Constitutional Criticality​

23.101.7. Reliability Dimensions​

23.101.8. Reliability Outcome​

23.101.9. Reliability States​

23.101.10. Reliability Dependencies​

23.101.11. Dependency Criticality​

23.101.12. Reliability Invariants​

23.101.13. Graceful Degradation​

23.101.14. Prohibited Degradation​

23.101.15. Reliability Validation​

23.102. Service Objectives, Indicators and Error Budgets​

23.102.1. SLI Identity​

23.102.2. SLI Types​

23.102.3. Semantic Success​

23.102.4. SLO Identity​

23.102.5. SLO Types​

23.102.6. Evaluation Windows​

23.102.7. Percentiles​

23.102.8. Multi-Window Evaluation​

23.102.9. Error Budget Identity​

23.102.10. Error Budget Consumption​

23.102.11. Error Budget Governance​

23.102.12. Exclusions​

23.102.13. Tenant-Level Objectives​

23.102.14. White-Label Objectives​

23.102.15. External Dependency Objectives​

23.102.16. Data Freshness Objective​

23.102.17. Provenance Objective​

23.102.18. Objective Breach​

23.102.19. Objective Explanation​

23.103. Availability, Fault Domains and Resilience​

23.103.1. Fault Domain​

23.103.2. Fault-Domain Identity​

23.103.3. Failure Modes​

23.103.4. Redundancy​

23.103.5. High Availability​

23.103.6. Failover Policy​

23.103.7. Automatic Failover​

23.103.8. Manual Failover​

23.103.9. Split-Brain Prevention​

23.103.10. Network Partition​

23.103.11. Circuit Breaker​

23.103.12. Bulkhead​

23.103.13. Timeout​

23.103.14. Retry​

23.103.15. Retry Storm Prevention​

23.103.16. Fallback​

23.103.17. Cache Fallback​

23.103.18. Read-Only Degradation​

23.103.19. Resilience Testing​

23.103.20. Chaos Experiment​

23.103.21. Resilience Outcome​

23.104. Scalability, Capacity and Tenant Fairness​

23.104.1. Capacity Profile​

23.104.2. Capacity Units​

23.104.3. Workload Classes​

23.104.4. Workload Identity​

23.104.5. Capacity Entitlement​

23.104.6. Tenant Fairness​

23.104.7. Fairness Invariants​

23.104.8. Horizontal Scaling​

23.104.9. Vertical Scaling​

23.104.10. Partitioning​

23.104.11. Sharding​

23.104.12. Hot Partition Detection​

23.104.13. Rebalancing​

23.104.14. Autoscaling Signal​

23.104.15. Autoscaling Policy​

23.104.16. Predictive Scaling​

23.104.17. Capacity Headroom​

23.104.18. Capacity Forecast​

23.104.19. Capacity Exhaustion​

23.104.20. Storage Capacity​

Part X — Reliability, Scale and Operations

23.101. Reliability Runtime

23.101.1. Reliability Purpose

23.101.2. Reliability Subject

23.101.3. Reliability Profile

23.101.4. Reliability Profile Types

23.101.5. Profile Resolution

23.101.6. Constitutional Criticality

23.101.7. Reliability Dimensions

23.101.8. Reliability Outcome

23.101.9. Reliability States

23.101.10. Reliability Dependencies

23.101.11. Dependency Criticality

23.101.12. Reliability Invariants

23.101.13. Graceful Degradation

23.101.14. Prohibited Degradation

23.101.15. Reliability Validation

23.102. Service Objectives, Indicators and Error Budgets

23.102.1. SLI Identity

23.102.2. SLI Types

23.102.3. Semantic Success

23.102.4. SLO Identity

23.102.5. SLO Types

23.102.6. Evaluation Windows

23.102.7. Percentiles

23.102.8. Multi-Window Evaluation

23.102.9. Error Budget Identity

23.102.10. Error Budget Consumption

23.102.11. Error Budget Governance

23.102.12. Exclusions

23.102.13. Tenant-Level Objectives

23.102.14. White-Label Objectives

23.102.15. External Dependency Objectives

23.102.16. Data Freshness Objective

23.102.17. Provenance Objective

23.102.18. Objective Breach

23.102.19. Objective Explanation

23.103. Availability, Fault Domains and Resilience

23.103.1. Fault Domain

23.103.2. Fault-Domain Identity

23.103.3. Failure Modes

23.103.4. Redundancy

23.103.5. High Availability

23.103.6. Failover Policy

23.103.7. Automatic Failover

23.103.8. Manual Failover

23.103.9. Split-Brain Prevention

23.103.10. Network Partition

23.103.11. Circuit Breaker

23.103.12. Bulkhead

23.103.13. Timeout

23.103.14. Retry

23.103.15. Retry Storm Prevention

23.103.16. Fallback

23.103.17. Cache Fallback

23.103.18. Read-Only Degradation

23.103.19. Resilience Testing

23.103.20. Chaos Experiment

23.103.21. Resilience Outcome

23.104. Scalability, Capacity and Tenant Fairness

23.104.1. Capacity Profile

23.104.2. Capacity Units

23.104.3. Workload Classes

23.104.4. Workload Identity

23.104.5. Capacity Entitlement

23.104.6. Tenant Fairness

23.104.7. Fairness Invariants

23.104.8. Horizontal Scaling

23.104.9. Vertical Scaling

23.104.10. Partitioning

23.104.11. Sharding

23.104.12. Hot Partition Detection

23.104.13. Rebalancing

23.104.14. Autoscaling Signal

23.104.15. Autoscaling Policy

23.104.16. Predictive Scaling

23.104.17. Capacity Headroom

23.104.18. Capacity Forecast

23.104.19. Capacity Exhaustion

23.104.20. Storage Capacity