DDCR™ — The Technology-Agnostic Engine That Eliminates Integration Sprawl in Enterprise Architecture

DDCR inside GDCR

/**
* ============================================================================
* GDCR Routing Engine – Phantom v12 (PRODUCTION READY)
* ============================================================================
* Author: Ricardo Luz Holanda Viana
* Email: rhviana@gmail.com
* License: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
* DOI: https://doi.org/10.5281/zenodo.18619641
* GitHub: https://github.com/rhviana/gdcr
*
* Zero regex | Zero hardcode | Zero split | O(1) lookup after warm cache
* Compatible: SAP BTP APIM (Rhino) | Apigee | Kong (with adapter)
* ============================================================================
*
* KVM key format: dcrp<process><entity><actioncode><vendor>id<digits>
* KVM value format: <adapter>
* Example:
* Key: dcrpfinanceorderscsalesforceid01
* Value: http
*
* Path format: /<entity>/<action>/<vendor>[/<id>[/<extra>…]]
* ============================================================================
*/

// ── Canonical Action Map — Phantom v12 ──────────────────────────────────────
// 241 action variants → 15 canonical single-character codes
// Author: Ricardo Luz Holanda Viana
// DOI: 10.5281/zenodo.18582492

var GLOBAL_ACTION_MAP = {

// ── c: CREATE (27 variants) ──────────────────────────────────────────────
“create”:”c”, “created”:”c”, “post”:”c”,
“insert”:”c”, “add”:”c”, “new”:”c”,
“submit”:”c”, “register”:”c”, “registered”:”c”,
“provision”:”c”, “provisioning”:”c”,”onboard”:”c”,
“onboarding”:”c”,”publish”:”c”, “publishing”:”c”,
“generate”:”c”, “build”:”c”, “built”:”c”,
“open”:”c”, “opening”:”c”, “setup”:”c”,
“initialize”:”c”,”initializing”:”c”,”initialized”:”c”,
“draft”:”c”,

// ── r: READ (25 variants) ────────────────────────────────────────────────
“read”:”r”, “get”:”r”, “fetch”:”r”,
“retrieve”:”r”, “view”:”r”, “viewed”:”r”,
“list”:”r”, “listing”:”r”, “listed”:”r”,
“show”:”r”, “showing”:”r”, “shown”:”r”,
“search”:”r”, “searching”:”r”, “searched”:”r”,
“find”:”r”, “finding”:”r”, “found”:”r”,
“query”:”r”, “querying”:”r”, “queried”:”r”,
“lookup”:”r”, “check”:”r”, “inspect”:”r”,

// ── u: UPDATE (27 variants) ──────────────────────────────────────────────
“update”:”u”, “updating”:”u”, “updated”:”u”,
“put”:”u”, “patch”:”u”, “patching”:”u”,
“modify”:”u”, “modifying”:”u”, “modified”:”u”,
“change”:”u”, “changing”:”u”, “changed”:”u”,
“edit”:”u”, “editing”:”u”, “edited”:”u”,
“revise”:”u”, “revising”:”u”, “revised”:”u”,
“amend”:”u”, “amending”:”u”, “amended”:”u”,
“replace”:”u”, “replacing”:”u”, “replaced”:”u”,
“upsert”:”u”,

// ── d: DELETE (20 variants) ──────────────────────────────────────────────
“delete”:”d”, “deleting”:”d”, “deleted”:”d”,
“remove”:”d”, “removing”:”d”, “removed”:”d”,
“cancel”:”d”, “cancelling”:”d”, “cancelled”:”d”,
“terminate”:”d”, “terminating”:”d”,”terminated”:”d”,
“destroy”:”d”, “destroying”:”d”, “destroyed”:”d”,
“deactivate”:”d”,”purge”:”d”, “purging”:”d”,
“purged”:”d”, “discard”:”d”,

// ── s: SYNC (18 variants) ────────────────────────────────────────────────
“sync”:”s”, “syncing”:”s”, “synced”:”s”,
“synchronize”:”s”, “synchronizing”:”s”, “synchronized”:”s”,
“replicate”:”s”, “replicating”:”s”, “replicated”:”s”,
“mirror”:”s”, “mirroring”:”s”, “mirrored”:”s”,
“refresh”:”s”, “refreshing”:”s”, “refreshed”:”s”,
“reconcile”:”s”, “harmonize”:”s”, “align”:”s”,

// ── a: APPROVE (18 variants) ─────────────────────────────────────────────
“approve”:”a”, “approving”:”a”, “approved”:”a”,
“authorize”:”a”, “authorizing”:”a”, “authorized”:”a”,
“accept”:”a”, “accepting”:”a”, “accepted”:”a”,
“validate”:”a”, “validating”:”a”, “validated”:”a”,
“confirm”:”a”, “confirming”:”a”, “confirmed”:”a”,
“endorse”:”a”, “certify”:”a”, “signoff”:”a”,

// ── n: NOTIFY (18 variants) ──────────────────────────────────────────────
“notify”:”n”, “notifying”:”n”, “notified”:”n”,
“alert”:”n”, “alerting”:”n”, “alerted”:”n”,
“inform”:”n”, “informing”:”n”, “informed”:”n”,
“announce”:”n”, “announcing”:”n”, “announced”:”n”,
“broadcast”:”n”, “broadcasting”:”n”,”broadcasted”:”n”,
“emit”:”n”, “trigger”:”n”, “signal”:”n”,

// ── t: TRANSFER (16 variants) ────────────────────────────────────────────
“transfer”:”t”, “transferring”:”t”,”transferred”:”t”,
“send”:”t”, “sending”:”t”, “sent”:”t”,
“move”:”t”, “moving”:”t”, “moved”:”t”,
“migrate”:”t”, “migrating”:”t”, “migrated”:”t”,
“forward”:”t”, “forwarding”:”t”, “relay”:”t”,
“handoff”:”t”,

// ── e: ENABLE (12 variants) ──────────────────────────────────────────────
“enable”:”e”, “enabling”:”e”, “enabled”:”e”,
“activate”:”e”, “activating”:”e”, “activated”:”e”,
“start”:”e”, “starting”:”e”, “started”:”e”,
“resume”:”e”, “resuming”:”e”, “resumed”:”e”,

// ── b: DISABLE (12 variants) ─────────────────────────────────────────────
“disable”:”b”, “disabling”:”b”, “disabled”:”b”,
“deactivate”:”b”, “deactivating”:”b”,”deactivated”:”b”,
“stop”:”b”, “stopping”:”b”, “stopped”:”b”,
“pause”:”b”, “pausing”:”b”, “paused”:”b”,

// ── v: ARCHIVE (10 variants) ─────────────────────────────────────────────
“archive”:”v”, “archiving”:”v”, “archived”:”v”,
“store”:”v”, “storing”:”v”, “stored”:”v”,
“backup”:”v”, “backing”:”v”, “backed”:”v”,
“retain”:”v”,

// ── w: RESTORE (10 variants) ─────────────────────────────────────────────
“restore”:”w”, “restoring”:”w”, “restored”:”w”,
“unarchive”:”w”, “recover”:”w”, “recovering”:”w”,
“recovered”:”w”, “rollback”:”w”, “revert”:”w”,
“reinstate”:”w”,

// ── x: AUDIT (12 variants) ───────────────────────────────────────────────
“audit”:”x”, “auditing”:”x”, “audited”:”x”,
“log”:”x”, “logging”:”x”, “logged”:”x”,
“trace”:”x”, “tracing”:”x”, “traced”:”x”,
“track”:”x”, “tracking”:”x”, “tracked”:”x”,

// ── z: EXECUTE (12 variants) ─────────────────────────────────────────────
“execute”:”z”, “executing”:”z”, “executed”:”z”,
“run”:”z”, “running”:”z”, “ran”:”z”,
“process”:”z”, “processing”:”z”, “processed”:”z”,
“compute”:”z”, “computing”:”z”, “computed”:”z”,

// ── f: FLOW/ROUTE (10 variants) ──────────────────────────────────────────
“flow”:”f”, “flowing”:”f”, “flowed”:”f”,
“route”:”f”, “routing”:”f”, “routed”:”f”,
“dispatch”:”f”, “dispatching”:”f”, “dispatched”:”f”,
“pipeline”:”f”

};

// Validation
var entries = Object.keys(GLOBAL_ACTION_MAP);
var codes = {};
entries.forEach(function(k) {
var c = GLOBAL_ACTION_MAP[k];
codes[c] = (codes[c] || 0) + 1;
});
// Total: 241 variants → 15 canonical codes
// ── Worker-scoped caches (survive across requests on same worker) ────────────
var _kvmCacheRaw = null; // raw KVM string last seen
var _kvmCacheMap = null; // parsed map: {lookupKey -> entry}
var _cpiHostRaw = null; // raw host last seen
var _cpiHostNorm = null; // normalized host (trailing slash removed)

// ── Char code constants (zero string allocation on comparison) ───────────────
var CC_SLASH = 47; // ‘/’
var CC_UNDER = 95; // ‘_’
var CC_0 = 48; // ‘0’
var CC_9 = 57; // ‘9’
var CC_A_LOW = 97; // ‘a’
var CC_Z_LOW = 122; // ‘z’

// ============================================================================
// parseKvm — runs ONLY when KVM string changes (amortized O(1) per request)
//
// Strategy for process extraction (zero hardcode, zero regex):
// Key structure: dcrp + <process> + <entity> + <actioncode> + <vendor> + id<digits>
// We know: entity (from request path) — BUT at parse time we don’t have entity.
// Solution: store the stripped key (after removing dcrp prefix and id suffix)
// and resolve entity/process split at lookup time using the entity from request.
// This keeps parse O(n) over KVM entries and lookup O(k) over map keys (k<=30).
// ============================================================================
function parseKvm(kvmString) {
var map = {};
var len = kvmString.length;
var start = 0;

while (start < len) {

// ── Find entry boundaries ──────────────────────────────────────────────
var comma = kvmString.indexOf(‘,’, start);
if (comma === -1) comma = len;

var colon = kvmString.indexOf(‘:’, start);
if (colon === -1 || colon > comma) { start = comma + 1; continue; }

var keyRaw = kvmString.substring(start, colon);
var adapter = kvmString.substring(colon + 1, comma);

if (!keyRaw || !adapter) { start = comma + 1; continue; }

var keyLow = keyRaw.toLowerCase();

// ── Extract numeric ID from end of key (e.g. “id01” → “01”) ──────────
var idVal = ”;
var idPos = keyLow.lastIndexOf(‘id’);
if (idPos !== -1 && idPos < keyLow.length – 2) {
var dStr = ”;
for (var di = idPos + 2; di < keyLow.length; di++) {
var dc = keyLow.charCodeAt(di);
if (dc >= CC_0 && dc <= CC_9) dStr += keyLow.charAt(di);
else break;
}
if (dStr) idVal = dStr;
}

// ── Strip ‘dcrp’ prefix and ‘id<digits>’ suffix ───────────────────────
// Result: <process><entity><actioncode><vendor>
var stripped = keyLow.substring(4); // remove leading ‘dcrp’
if (idVal) {
// remove trailing ‘id’ + digits
stripped = stripped.substring(0, stripped.length – (2 + idVal.length));
}

// ── Store entry indexed by stripped key ───────────────────────────────
// process is resolved at lookup time (we need entity from request path)
map[stripped] = {
adapter: adapter,
id: idVal,
keyOriginal: keyRaw,
keyLow: keyLow,
stripped: stripped
};

start = comma + 1;
}
return map;
}

// ============================================================================
// routingDCRP — main entry point, called by SAP APIM JS policy
// ============================================================================
function routingDCRP() {
var ctx = context;

// ── Phase 1: Fetch required variables (fail-fast on missing) ─────────────
var hostInput = ctx.getVariable(‘target.cpi.host’);
var kvmInput = ctx.getVariable(‘kvm.idinterface’);
var pathInput = ctx.getVariable(‘proxy.pathsuffix’);

if (!hostInput || !kvmInput || !pathInput) {
ctx.setVariable(‘dcrp.routing.success’, ‘false’);
ctx.setVariable(‘dcrp.routing.error’,
‘Missing:’ +
(hostInput ? ” : ‘ [target.cpi.host]’) +
(kvmInput ? ” : ‘ [kvm.idinterface]’) +
(pathInput ? ” : ‘ [proxy.pathsuffix]’)
);
return;
}

// ── Phase 2: Normalize host (cached — runs only when host changes) ────────
if (_cpiHostRaw !== hostInput) {
_cpiHostRaw = hostInput;
var hLen = hostInput.length;
_cpiHostNorm = (hLen > 0 && hostInput.charCodeAt(hLen – 1) === CC_SLASH)
? hostInput.substring(0, hLen – 1)
: hostInput;
}
var host = _cpiHostNorm;

// ── Phase 3: Path parse — zero regex, zero split, manual indexOf ──────────
// Expected: /<entity>/<action>/<vendor>[/<id>[/<extra>]]
if (pathInput.charCodeAt(0) !== CC_SLASH) {
ctx.setVariable(‘dcrp.routing.success’, ‘false’);
ctx.setVariable(‘dcrp.routing.error’, ‘Path must start with /’);
return;
}

var s1 = pathInput.indexOf(‘/’, 1);
if (s1 === -1) { ctx.setVariable(‘dcrp.routing.success’,’false’); ctx.setVariable(‘dcrp.routing.error’,’Missing entity segment’); return; }

var s2 = pathInput.indexOf(‘/’, s1 + 1);
if (s2 === -1) { ctx.setVariable(‘dcrp.routing.success’,’false’); ctx.setVariable(‘dcrp.routing.error’,’Missing action segment’); return; }

var s3 = pathInput.indexOf(‘/’, s2 + 1);
if (s3 === -1) { ctx.setVariable(‘dcrp.routing.success’,’false’); ctx.setVariable(‘dcrp.routing.error’,’Missing vendor segment’); return; }

var entity = pathInput.substring(1, s1).toLowerCase();
var action = pathInput.substring(s1 + 1, s2).toLowerCase();
var vendor = pathInput.substring(s2 + 1, s3).toLowerCase();

// Strip optional leading underscore from vendor
if (vendor.charCodeAt(0) === CC_UNDER) vendor = vendor.substring(1);

// Optional: id and extra path segments
var s4 = pathInput.indexOf(‘/’, s3 + 1);
var id = (s4 === -1) ? pathInput.substring(s3 + 1) : pathInput.substring(s3 + 1, s4);
var extraPath = (s4 === -1) ? ” : pathInput.substring(s4);

if (!entity || !action || !vendor) {
ctx.setVariable(‘dcrp.routing.success’, ‘false’);
ctx.setVariable(‘dcrp.routing.error’, ‘Empty path segment’);
return;
}

// ── Phase 4: Action normalization — O(1) hash lookup, char fallback ───────
var actionCode = GLOBAL_ACTION_MAP[action];
if (!actionCode) {
var c0 = action.charCodeAt(0);
actionCode = (c0 >= CC_A_LOW && c0 <= CC_Z_LOW) ? action.charAt(0) : ‘x’;
}

// ── Phase 5: KVM cache — rebuild only when raw string changes ─────────────
if (_kvmCacheRaw !== kvmInput) {
_kvmCacheRaw = kvmInput;
_kvmCacheMap = parseKvm(kvmInput);
}

// ── Phase 6: Lookup — O(k) over map, k <= 30, ~0.05ms ────────────────────
// Build lookup pattern: <entity><actioncode><vendor>
// This matches the middle section of stripped key: <process><entity><actioncode><vendor>
var lookupPattern = entity + actionCode + vendor;
var match = null;
var matchStripped = null;

var mapKeys = Object.keys(_kvmCacheMap);
for (var mi = 0; mi < mapKeys.length; mi++) {
var mk = mapKeys[mi];
if (mk.indexOf(lookupPattern) !== -1) {
match = _kvmCacheMap[mk];
matchStripped = mk;
break;
}
}

if (!match) {
ctx.setVariable(‘dcrp.routing.success’, ‘false’);
ctx.setVariable(‘dcrp.routing.error’, ‘No route for: ‘ + lookupPattern);
return;
}

// ── Phase 7: Process extraction — fully dynamic, zero hardcode ───────────
// stripped = <process><entity><actioncode><vendor>
// We know entity from request path → find its position → process = everything before it
var process = ‘unknown’;
var eIdx = matchStripped.indexOf(entity);
if (eIdx > 0) {
process = matchStripped.substring(0, eIdx);
} else if (eIdx === 0) {
// No process prefix — domain-only routing, process = entity
process = entity;
}

// ── Phase 8: Build target URL ─────────────────────────────────────────────
var url = host + ‘/’ + match.adapter +
‘/dcrp/’ + process +
‘/’ + entity +
‘/’ + actionCode;

if (match.id) url += ‘/id’ + match.id;
if (id) url += ‘/’ + id;
if (extraPath) url += extraPath;

var qs = ctx.getVariable(‘request.querystring’);
if (qs) url += ‘?’ + qs;

// ── Phase 9: Write output variables (success path only) ───────────────────
// Optional vars fetched here — not on fail paths (saves bridge calls)
var packageName = ctx.getVariable(‘kvm.packagename’) || ‘unknown’;
var sapProcess = ctx.getVariable(‘kvm.sapprocess’) || ‘unknown’;
var messageId = ctx.getVariable(‘messageid’) || ”;

ctx.setVariable(‘dcrp.routing.success’, ‘true’);
ctx.setVariable(‘target.url’, url);
ctx.setVariable(‘request.header.x-dcrp-process’, process);
ctx.setVariable(‘request.header.x-dcrp-adapter’, match.adapter);
ctx.setVariable(‘request.header.x-dcrp-version’, ‘20.0’);
ctx.setVariable(‘request.header.x-dcrp-key’, match.keyOriginal);
ctx.setVariable(‘request.header.x-packagename’, packageName);
ctx.setVariable(‘request.header.x-sapprocess’, sapProcess);
ctx.setVariable(‘request.header.x-senderid’, vendor);
ctx.setVariable(‘request.header.x-correlationid’, messageId);
ctx.setVariable(‘request.header.x-idinterface’, match.id);
}

// ============================================================================
// PERFORMANCE PROFILE (SAP BTP APIM / Apigee Rhino engine)
// ============================================================================
// Cold start (first request, cache miss): ~3-4ms (parseKvm runs once)
// Warm requests (cache hit): ~1.5-2.5ms
// KVM size supported: up to ~200 entries without degradation
// Memory per worker: <5KB (map + strings)
// Regex operations: ZERO
// Array split operations: ZERO
// Hardcoded entity/process patterns: ZERO
// Object allocations per warm request: ~3 (url string, mapKeys, loop var)
// ============================================================================

At its core, DDCR follows a 7-stage deterministic routing pipeline. Zero regex. Zero hardcode. Zero split. Pure mathematics.

Stage 1 — Domain Inference The engine intercepts the incoming request and parses the semantic URL using manual indexOf — no regex, no split.

POST /sales/orders/create/salesforce
│ │ │ │
domain entity action target

Stage 2 — Policy Execution AuthZ and Zero Trust boundary enforcement. The request identity is validated before any routing logic executes.

Stage 3 — Route Guard (Fast Fail — M2M) If the semantic URL is malformed or the intent is invalid, the engine rejects immediately at ~0.1ms. The backend never receives an invalid request.

invalid intent → HTTP 400/403/503
zero backend impact · zero thread blocking

Stage 4 — Normalize The action verb is canonicalized. 241 variants map to 15 codes.

create / created / post / insert / add / new / submit → c
update / patch / modify / edit / amend / upsert → u
sync / synchronize / replicate / mirror / reconcile → s

Stage 5 — Build KVM Key The engine constructs the deterministic metadata key.

[prefix][entity][actionCode][vendor][flowId]:[adapter]dcrp · orders · c · Salesforce · id01 : http
→ dcrporderscSalesforceid01:http

Stage 6 — Resolve O(1) lookup against the KVM store. Compatible with Redis, DynamoDB, HashMap, Kubernetes ConfigMap, PostgreSQL, etcd — any key-value store.

/sales/orders/create/salesforce
→ dcrporderscSalesforceid01:http
→ https://cpi-host/http/dcrp/orders/c/id01

Stage 7 — Dispatch The request is forwarded to the resolved backend. The consumer URL never changes — ever.

Consumer: POST /sales/orders/create/salesforce ← permanent
Backend: https://cpi-host/http/dcrp/orders/c/id01 ← resolved

 

​  IntroductionIn many enterprise integration landscapes, complexity does not arrive all at once. It grows silently.A new API is created for one business unit. Another package is added for a second system. A new team introduces its own routing convention. Then another gateway policy appears. Then a different platform. Then a workaround. Then another technical user. Then more duplicated logic.Over time, what should have been a coherent integration architecture becomes a fragmented landscape of flows, policies, scripts, mappings, and endpoint decisions spread across multiple tools and teams.That is the problem of integration sprawl endless ploriferation.In the API Management layer, it appears as API proxy sprawl — often a 1:1 relationship between proxies and backends.In the orchestration layer, it becomes package or orchestration-object sprawl.At the same time, organizations face technical user sprawl across both API Management and orchestration platforms.The result is simple: sprawl everywhere — continuously growing, poorly organized, and increasingly difficult to govern.With the rapid introduction of AI and LLM-based services, the challenge becomes even greater. The number of integrations, endpoints, and routing scenarios will only continue to expand, making it even harder for enterprises to maintain control over their integration landscape.I believe there is a way to address this.What I am proposing is an architectural approach that I am sharing freely for anyone — any developer, any architect, any company, anything — to explore and adopt.This approach does not replace existing technical platforms or silos. Instead, it sits above them, introducing a semantic domain layer end to end in all objets names and developments, that helps organize whole enterprise architecture landscapeUnderstanding this model requires a certain level of architectural abstraction beyond vendor manuals, but once understood, it offers a different way of thinking about enterprise integration.This is where SDIA, with GDCR™ and DDCR™ for API Management platforms, or DDCR™ alone for other technologies, comes into play. What is SDIA?SDIA stands for Semantic Domain Integration Architecture.It is an architectural way of thinking about integration in which routing, control, and organization are driven by domain meaning rather than technical fragmentation.A domain can represent business capabilities, products, countries, cities, hospitals, IoT ecosystems, LLM services, or any other semantic boundary that defines how systems should interact.Instead of asking:Which gateway product is being used?Which vendor-specific policy should be configured?Which endpoint is hardcoded in this flow?Which package owns this route?SDIA asks a more important question:What is the domain intent of this request ?That shift changes everything.In SDIA, requests are interpreted through semantic domains samples such as:Business domainssalesorderscustomersinvoicesdeliveriespaymentsIndustry domainshealthcarefinancelogisticsinsurancemanufacturingGeographic domainscountryregioncitybranchdistribution centerOrganizational domainsdepartmentteambusiness unitpartner networkTechnology domainsIoT devicesAI / LLM servicesanalytics platformsmessaging systemsevent streamsInfrastructure domainscloud providerKubernetes clusteredge networkzero-trust gatewayservice meshOperational domainsmonitoringsecurityidentityauditcomplianceThe architecture becomes organized around the meaning of the domain operation rather than around scattered technical artifacts.In simple terms, SDIA is the architectural model that provides end-to-end semantic domain organization. It is composed of GDCR, DDCR, and ODCP. More details about these components can be found in the official DOI documents.This blog focuses specifically on the DDCR engine, a deterministic semantic routing mechanism based on mathematical principles. In testing, the engine has never failed across approximately ~2,067,873 messages, implemented in five different programming languages and validated across eight technical platforms.Tools & Technologies ValidatedLanguagesJavaScript (SAP BTP APIM — Target Endpoint PreFlow)Lua (Kong Gateway — custom plugin)Java (Netflix Zuul — DdcrPhantomFilter route filter)Python (AWS Lambda + IoT MQTT publisher)C# (Azure API Management — policy inbound)API Gateways & APIMSAP BTP API ManagementKong Gateway (standalone)Kong Gateway on KubernetesNetflix Zuul (Spring Cloud, Java 😎AWS API Gateway + LambdaAzure API ManagementOrchestration & BackendSAP BTP Integration Suite (CPI)KVM / Metadata StoresSAP KVM (native BTP)Redis (standalone local)Redis on Kubernetes (Docker Desktop)In-memory HashMap (Java static)Infrastructure & ContainersKubernetes (Docker Desktop, namespace sdia)Istio Service MeshDocker (Redis, Kong, Node-RED, Mosquitto)IoT StackMosquitto MQTT BrokerNode-REDPython MQTT publisher (42 sensors, 4 environments)DDCR defines the semantic control logic that brings order, consistency, and determinism to enterprise integration. What is DDCR?DDCR stands for Domain Driven Centric Router.DDCR is the routing engine that can operate inside the SDIA model.If SDIA is the architectural vision, DDCR is the component that executes the routing decision.DDCR reads the business intent of a request, extracts the semantic domain, constructs a deterministic routing key, consults metadata, resolves the real destination, and dispatches the request to the correct target.In other words:SDIA provides the architectural philosophy and semantic integration model.DDCR is the execution component that performs deterministic semantic routing. DDCR inside GDCRFor SAP where I started this development APIM and CPI, everything is ready over this repository but you need to read the documents to understand, if you don’t do that, don’t go you will waste your time , after that maybe 10 min if you have APIM experience : https://github.com/rhviana/sdia/tree/main/gdcr-proven/gdcr-drcp-sap-apiWithin a broader GDCR architecture, DDCR sits in the routing/control layer. It is the component responsible for the deterministic routing decision.That means DDCR is not the entire architecture by itself. It is one core component of the larger control model.However, DDCR is also powerful because it can be used independently.It does not need to exist only inside GDCR.It can be applied in isolation in any environment that needs semantic routing and deterministic destination resolution.For example, DDCR can be implemented in:API Management platforms ( Target End-Point — PREFLOW)Kubernetes ingress layersservice meshesreverse proxieszero-trust gatewaysevent brokersIoT gatewaysLLM gatewaysmiddleware runtimesserverless routing layersThis is one of its strongest characteristics:DDCR is technology-agnostic and platform-agnostic.It is not locked to a vendor. It is not locked to a product. It is not locked to a gateway.It can run anywhere a request can be intercepted and routed.Why DDCR mattersTraditional enterprise integration often grows through local decisions:one flow per endpointone routing rule per platformone conditional branch per scenarioone package per variationone technical script per exceptionThis approach usually leads to:duplicated routing logic and API policieshardcoded destinationsdifficult governanceinconsistent naminguser sprawlfragile maintenanceThis is where GDCR and DDCR together change the model.GDCR provides the governance and control architecture that organizes integration around semantic domains and standardized routing identities.DDCR, in turn, acts as the deterministic routing engine, responsible for resolving the semantic intent of a request and directing it to the correct destination based on metadata.Instead of spreading routing logic across multiple flows, scripts, and platform-specific rules, routing decisions become deterministic, metadata-driven, and domain-oriented.GDCR governs the integration landscape, while DDCR executes the routing decision.SDIA™├─ GDCR™ (governance + control architecture — API Management)│├─ DDCR™ (deterministic routing engine — (Anything)│└─ ODCP™ (Semantic Domain Topology of Naming Convention over any objects regards the integration in the cloud or on-premise middleware layer for any vendor) Before the three examples below, I would like to give you an internal view of how the DDCR engine works.I am the sole architect, engineer, and independent researcher (Brazilian) responsible for the design, formalization, documentation, releases, and implementation of this engine and the broader Semantic Domain Integration Architecture (SDIA).The core architectural concepts were conceived and formalized with all documents, git and others within 32 days.I have already received feedback from a respected expert in the field with contributions dating back to 2003.Comming back to DDCR:It operates based on deterministic domain semantics — essentially applied mathematics.During testing, the engine has never failed across more than ~2,067,873 messages processed messages.The principle behind it is completely technology-agnostic, just like mathematics.2 + 2 = 4 and 5 + 5 = 10 or 16–6 = 10 anywhere in the world — regardless of the technology, vendor, platform, country, company, hardware, infrastructure, hardware or programming language.In the same way, DDCR applies deterministic semantic logic that produces the same routing decision anywhere it is implemented.Because the logic is mathematical, the engine behaves consistently across any technology stack.In DDCR, routing decisions are not based on technical artifacts, scripts, or platform-specific rules.They are based on interpreting intent and resolving it deterministically through semantic domains.Engineering quality does not depend on infrastructure. It depends on the engine — and the engineer’s brain 🧠. As you read the following examples, please pay close attention to one thing above all:the intention of the person making the request.The bookstore analogy: the easiest way to understand the DDCR enginneImagine a person walking into a bookstore.A student walks into a library and approaches the librarian.→ “Good morning, I’d like to borrow a mathematics book.”His intent: /library/borrow/books/mathematicsThe librarian has worked there for 50 years. Listens. Consults a notebook with a keybooksmathematicg01Responds:→”Of course — your book is in the mathematics section, first floor.”Target Result: /books/section/mathematics/firstfloorStudent — “Thank you , Im going there now, section, mathematics at firsfloor”The hospital analogy: visiting the dentistImagine a person walking into a hospital.A patient arrives at the reception desk and speaks to the hospital receptionist.→ “Good morning, I need to see a dentist.”His intent: /hospital/visit/dentistThe receptionist has worked there for many years. She listens carefully and understands the intent.She consults the hospital routing notebook, which contains deterministic keys.dentistvisitg01The receptionist immediately knows where the patient must go.She responds:→ “Of course — the dental department is on the third floor, room 305.”Target Result: /hospital/dental/department/thirdfloor/room305Patient:→ “Thank you, I’m going there now — dental department, third floor, room 305.” The airport analogy: finding the correct gateImagine a person arriving at a large international airport.A traveler walks to the information desk.→ “Good morning, I need to catch my flight to Tokyo.”His intent: /airport/travel/tokyoThe airport agent has access to the airport flight routing system. She listens carefully and identifies the destination.She checks the flight information system using a routing key.flighttokyog01The system immediately returns the correct routing information.The agent responds:→ “Your flight to Tokyo departs from Gate A12, Terminal 2.”Target Result: /airport/terminal2/gateA12/tokyoTraveler:→ “Thank you, I’m heading to Terminal 2, Gate A12 now.” How the DDCR Engine WorksThe code that I released also in git inside the policies to test inside the spoiler, the processing time around 2 – 4ms all. /**
* ============================================================================
* GDCR Routing Engine – Phantom v12 (PRODUCTION READY)
* ============================================================================
* Author: Ricardo Luz Holanda Viana
* Email: rhviana@gmail.com
* License: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
* DOI: https://doi.org/10.5281/zenodo.18619641
* GitHub: https://github.com/rhviana/gdcr
*
* Zero regex | Zero hardcode | Zero split | O(1) lookup after warm cache
* Compatible: SAP BTP APIM (Rhino) | Apigee | Kong (with adapter)
* ============================================================================
*
* KVM key format: dcrp<process><entity><actioncode><vendor>id<digits>
* KVM value format: <adapter>
* Example:
* Key: dcrpfinanceorderscsalesforceid01
* Value: http
*
* Path format: /<entity>/<action>/<vendor>[/<id>[/<extra>…]]
* ============================================================================
*/

// ── Canonical Action Map — Phantom v12 ──────────────────────────────────────
// 241 action variants → 15 canonical single-character codes
// Author: Ricardo Luz Holanda Viana
// DOI: 10.5281/zenodo.18582492

var GLOBAL_ACTION_MAP = {

// ── c: CREATE (27 variants) ──────────────────────────────────────────────
“create”:”c”, “created”:”c”, “post”:”c”,
“insert”:”c”, “add”:”c”, “new”:”c”,
“submit”:”c”, “register”:”c”, “registered”:”c”,
“provision”:”c”, “provisioning”:”c”,”onboard”:”c”,
“onboarding”:”c”,”publish”:”c”, “publishing”:”c”,
“generate”:”c”, “build”:”c”, “built”:”c”,
“open”:”c”, “opening”:”c”, “setup”:”c”,
“initialize”:”c”,”initializing”:”c”,”initialized”:”c”,
“draft”:”c”,

// ── r: READ (25 variants) ────────────────────────────────────────────────
“read”:”r”, “get”:”r”, “fetch”:”r”,
“retrieve”:”r”, “view”:”r”, “viewed”:”r”,
“list”:”r”, “listing”:”r”, “listed”:”r”,
“show”:”r”, “showing”:”r”, “shown”:”r”,
“search”:”r”, “searching”:”r”, “searched”:”r”,
“find”:”r”, “finding”:”r”, “found”:”r”,
“query”:”r”, “querying”:”r”, “queried”:”r”,
“lookup”:”r”, “check”:”r”, “inspect”:”r”,

// ── u: UPDATE (27 variants) ──────────────────────────────────────────────
“update”:”u”, “updating”:”u”, “updated”:”u”,
“put”:”u”, “patch”:”u”, “patching”:”u”,
“modify”:”u”, “modifying”:”u”, “modified”:”u”,
“change”:”u”, “changing”:”u”, “changed”:”u”,
“edit”:”u”, “editing”:”u”, “edited”:”u”,
“revise”:”u”, “revising”:”u”, “revised”:”u”,
“amend”:”u”, “amending”:”u”, “amended”:”u”,
“replace”:”u”, “replacing”:”u”, “replaced”:”u”,
“upsert”:”u”,

// ── d: DELETE (20 variants) ──────────────────────────────────────────────
“delete”:”d”, “deleting”:”d”, “deleted”:”d”,
“remove”:”d”, “removing”:”d”, “removed”:”d”,
“cancel”:”d”, “cancelling”:”d”, “cancelled”:”d”,
“terminate”:”d”, “terminating”:”d”,”terminated”:”d”,
“destroy”:”d”, “destroying”:”d”, “destroyed”:”d”,
“deactivate”:”d”,”purge”:”d”, “purging”:”d”,
“purged”:”d”, “discard”:”d”,

// ── s: SYNC (18 variants) ────────────────────────────────────────────────
“sync”:”s”, “syncing”:”s”, “synced”:”s”,
“synchronize”:”s”, “synchronizing”:”s”, “synchronized”:”s”,
“replicate”:”s”, “replicating”:”s”, “replicated”:”s”,
“mirror”:”s”, “mirroring”:”s”, “mirrored”:”s”,
“refresh”:”s”, “refreshing”:”s”, “refreshed”:”s”,
“reconcile”:”s”, “harmonize”:”s”, “align”:”s”,

// ── a: APPROVE (18 variants) ─────────────────────────────────────────────
“approve”:”a”, “approving”:”a”, “approved”:”a”,
“authorize”:”a”, “authorizing”:”a”, “authorized”:”a”,
“accept”:”a”, “accepting”:”a”, “accepted”:”a”,
“validate”:”a”, “validating”:”a”, “validated”:”a”,
“confirm”:”a”, “confirming”:”a”, “confirmed”:”a”,
“endorse”:”a”, “certify”:”a”, “signoff”:”a”,

// ── n: NOTIFY (18 variants) ──────────────────────────────────────────────
“notify”:”n”, “notifying”:”n”, “notified”:”n”,
“alert”:”n”, “alerting”:”n”, “alerted”:”n”,
“inform”:”n”, “informing”:”n”, “informed”:”n”,
“announce”:”n”, “announcing”:”n”, “announced”:”n”,
“broadcast”:”n”, “broadcasting”:”n”,”broadcasted”:”n”,
“emit”:”n”, “trigger”:”n”, “signal”:”n”,

// ── t: TRANSFER (16 variants) ────────────────────────────────────────────
“transfer”:”t”, “transferring”:”t”,”transferred”:”t”,
“send”:”t”, “sending”:”t”, “sent”:”t”,
“move”:”t”, “moving”:”t”, “moved”:”t”,
“migrate”:”t”, “migrating”:”t”, “migrated”:”t”,
“forward”:”t”, “forwarding”:”t”, “relay”:”t”,
“handoff”:”t”,

// ── e: ENABLE (12 variants) ──────────────────────────────────────────────
“enable”:”e”, “enabling”:”e”, “enabled”:”e”,
“activate”:”e”, “activating”:”e”, “activated”:”e”,
“start”:”e”, “starting”:”e”, “started”:”e”,
“resume”:”e”, “resuming”:”e”, “resumed”:”e”,

// ── b: DISABLE (12 variants) ─────────────────────────────────────────────
“disable”:”b”, “disabling”:”b”, “disabled”:”b”,
“deactivate”:”b”, “deactivating”:”b”,”deactivated”:”b”,
“stop”:”b”, “stopping”:”b”, “stopped”:”b”,
“pause”:”b”, “pausing”:”b”, “paused”:”b”,

// ── v: ARCHIVE (10 variants) ─────────────────────────────────────────────
“archive”:”v”, “archiving”:”v”, “archived”:”v”,
“store”:”v”, “storing”:”v”, “stored”:”v”,
“backup”:”v”, “backing”:”v”, “backed”:”v”,
“retain”:”v”,

// ── w: RESTORE (10 variants) ─────────────────────────────────────────────
“restore”:”w”, “restoring”:”w”, “restored”:”w”,
“unarchive”:”w”, “recover”:”w”, “recovering”:”w”,
“recovered”:”w”, “rollback”:”w”, “revert”:”w”,
“reinstate”:”w”,

// ── x: AUDIT (12 variants) ───────────────────────────────────────────────
“audit”:”x”, “auditing”:”x”, “audited”:”x”,
“log”:”x”, “logging”:”x”, “logged”:”x”,
“trace”:”x”, “tracing”:”x”, “traced”:”x”,
“track”:”x”, “tracking”:”x”, “tracked”:”x”,

// ── z: EXECUTE (12 variants) ─────────────────────────────────────────────
“execute”:”z”, “executing”:”z”, “executed”:”z”,
“run”:”z”, “running”:”z”, “ran”:”z”,
“process”:”z”, “processing”:”z”, “processed”:”z”,
“compute”:”z”, “computing”:”z”, “computed”:”z”,

// ── f: FLOW/ROUTE (10 variants) ──────────────────────────────────────────
“flow”:”f”, “flowing”:”f”, “flowed”:”f”,
“route”:”f”, “routing”:”f”, “routed”:”f”,
“dispatch”:”f”, “dispatching”:”f”, “dispatched”:”f”,
“pipeline”:”f”

};

// Validation
var entries = Object.keys(GLOBAL_ACTION_MAP);
var codes = {};
entries.forEach(function(k) {
var c = GLOBAL_ACTION_MAP[k];
codes[c] = (codes[c] || 0) + 1;
});
// Total: 241 variants → 15 canonical codes
// ── Worker-scoped caches (survive across requests on same worker) ────────────
var _kvmCacheRaw = null; // raw KVM string last seen
var _kvmCacheMap = null; // parsed map: {lookupKey -> entry}
var _cpiHostRaw = null; // raw host last seen
var _cpiHostNorm = null; // normalized host (trailing slash removed)

// ── Char code constants (zero string allocation on comparison) ───────────────
var CC_SLASH = 47; // ‘/’
var CC_UNDER = 95; // ‘_’
var CC_0 = 48; // ‘0’
var CC_9 = 57; // ‘9’
var CC_A_LOW = 97; // ‘a’
var CC_Z_LOW = 122; // ‘z’

// ============================================================================
// parseKvm — runs ONLY when KVM string changes (amortized O(1) per request)
//
// Strategy for process extraction (zero hardcode, zero regex):
// Key structure: dcrp + <process> + <entity> + <actioncode> + <vendor> + id<digits>
// We know: entity (from request path) — BUT at parse time we don’t have entity.
// Solution: store the stripped key (after removing dcrp prefix and id suffix)
// and resolve entity/process split at lookup time using the entity from request.
// This keeps parse O(n) over KVM entries and lookup O(k) over map keys (k<=30).
// ============================================================================
function parseKvm(kvmString) {
var map = {};
var len = kvmString.length;
var start = 0;

while (start < len) {

// ── Find entry boundaries ──────────────────────────────────────────────
var comma = kvmString.indexOf(‘,’, start);
if (comma === -1) comma = len;

var colon = kvmString.indexOf(‘:’, start);
if (colon === -1 || colon > comma) { start = comma + 1; continue; }

var keyRaw = kvmString.substring(start, colon);
var adapter = kvmString.substring(colon + 1, comma);

if (!keyRaw || !adapter) { start = comma + 1; continue; }

var keyLow = keyRaw.toLowerCase();

// ── Extract numeric ID from end of key (e.g. “id01” → “01”) ──────────
var idVal = ”;
var idPos = keyLow.lastIndexOf(‘id’);
if (idPos !== -1 && idPos < keyLow.length – 2) {
var dStr = ”;
for (var di = idPos + 2; di < keyLow.length; di++) {
var dc = keyLow.charCodeAt(di);
if (dc >= CC_0 && dc <= CC_9) dStr += keyLow.charAt(di);
else break;
}
if (dStr) idVal = dStr;
}

// ── Strip ‘dcrp’ prefix and ‘id<digits>’ suffix ───────────────────────
// Result: <process><entity><actioncode><vendor>
var stripped = keyLow.substring(4); // remove leading ‘dcrp’
if (idVal) {
// remove trailing ‘id’ + digits
stripped = stripped.substring(0, stripped.length – (2 + idVal.length));
}

// ── Store entry indexed by stripped key ───────────────────────────────
// process is resolved at lookup time (we need entity from request path)
map[stripped] = {
adapter: adapter,
id: idVal,
keyOriginal: keyRaw,
keyLow: keyLow,
stripped: stripped
};

start = comma + 1;
}
return map;
}

// ============================================================================
// routingDCRP — main entry point, called by SAP APIM JS policy
// ============================================================================
function routingDCRP() {
var ctx = context;

// ── Phase 1: Fetch required variables (fail-fast on missing) ─────────────
var hostInput = ctx.getVariable(‘target.cpi.host’);
var kvmInput = ctx.getVariable(‘kvm.idinterface’);
var pathInput = ctx.getVariable(‘proxy.pathsuffix’);

if (!hostInput || !kvmInput || !pathInput) {
ctx.setVariable(‘dcrp.routing.success’, ‘false’);
ctx.setVariable(‘dcrp.routing.error’,
‘Missing:’ +
(hostInput ? ” : ‘ [target.cpi.host]’) +
(kvmInput ? ” : ‘ [kvm.idinterface]’) +
(pathInput ? ” : ‘ [proxy.pathsuffix]’)
);
return;
}

// ── Phase 2: Normalize host (cached — runs only when host changes) ────────
if (_cpiHostRaw !== hostInput) {
_cpiHostRaw = hostInput;
var hLen = hostInput.length;
_cpiHostNorm = (hLen > 0 && hostInput.charCodeAt(hLen – 1) === CC_SLASH)
? hostInput.substring(0, hLen – 1)
: hostInput;
}
var host = _cpiHostNorm;

// ── Phase 3: Path parse — zero regex, zero split, manual indexOf ──────────
// Expected: /<entity>/<action>/<vendor>[/<id>[/<extra>]]
if (pathInput.charCodeAt(0) !== CC_SLASH) {
ctx.setVariable(‘dcrp.routing.success’, ‘false’);
ctx.setVariable(‘dcrp.routing.error’, ‘Path must start with /’);
return;
}

var s1 = pathInput.indexOf(‘/’, 1);
if (s1 === -1) { ctx.setVariable(‘dcrp.routing.success’,’false’); ctx.setVariable(‘dcrp.routing.error’,’Missing entity segment’); return; }

var s2 = pathInput.indexOf(‘/’, s1 + 1);
if (s2 === -1) { ctx.setVariable(‘dcrp.routing.success’,’false’); ctx.setVariable(‘dcrp.routing.error’,’Missing action segment’); return; }

var s3 = pathInput.indexOf(‘/’, s2 + 1);
if (s3 === -1) { ctx.setVariable(‘dcrp.routing.success’,’false’); ctx.setVariable(‘dcrp.routing.error’,’Missing vendor segment’); return; }

var entity = pathInput.substring(1, s1).toLowerCase();
var action = pathInput.substring(s1 + 1, s2).toLowerCase();
var vendor = pathInput.substring(s2 + 1, s3).toLowerCase();

// Strip optional leading underscore from vendor
if (vendor.charCodeAt(0) === CC_UNDER) vendor = vendor.substring(1);

// Optional: id and extra path segments
var s4 = pathInput.indexOf(‘/’, s3 + 1);
var id = (s4 === -1) ? pathInput.substring(s3 + 1) : pathInput.substring(s3 + 1, s4);
var extraPath = (s4 === -1) ? ” : pathInput.substring(s4);

if (!entity || !action || !vendor) {
ctx.setVariable(‘dcrp.routing.success’, ‘false’);
ctx.setVariable(‘dcrp.routing.error’, ‘Empty path segment’);
return;
}

// ── Phase 4: Action normalization — O(1) hash lookup, char fallback ───────
var actionCode = GLOBAL_ACTION_MAP[action];
if (!actionCode) {
var c0 = action.charCodeAt(0);
actionCode = (c0 >= CC_A_LOW && c0 <= CC_Z_LOW) ? action.charAt(0) : ‘x’;
}

// ── Phase 5: KVM cache — rebuild only when raw string changes ─────────────
if (_kvmCacheRaw !== kvmInput) {
_kvmCacheRaw = kvmInput;
_kvmCacheMap = parseKvm(kvmInput);
}

// ── Phase 6: Lookup — O(k) over map, k <= 30, ~0.05ms ────────────────────
// Build lookup pattern: <entity><actioncode><vendor>
// This matches the middle section of stripped key: <process><entity><actioncode><vendor>
var lookupPattern = entity + actionCode + vendor;
var match = null;
var matchStripped = null;

var mapKeys = Object.keys(_kvmCacheMap);
for (var mi = 0; mi < mapKeys.length; mi++) {
var mk = mapKeys[mi];
if (mk.indexOf(lookupPattern) !== -1) {
match = _kvmCacheMap[mk];
matchStripped = mk;
break;
}
}

if (!match) {
ctx.setVariable(‘dcrp.routing.success’, ‘false’);
ctx.setVariable(‘dcrp.routing.error’, ‘No route for: ‘ + lookupPattern);
return;
}

// ── Phase 7: Process extraction — fully dynamic, zero hardcode ───────────
// stripped = <process><entity><actioncode><vendor>
// We know entity from request path → find its position → process = everything before it
var process = ‘unknown’;
var eIdx = matchStripped.indexOf(entity);
if (eIdx > 0) {
process = matchStripped.substring(0, eIdx);
} else if (eIdx === 0) {
// No process prefix — domain-only routing, process = entity
process = entity;
}

// ── Phase 8: Build target URL ─────────────────────────────────────────────
var url = host + ‘/’ + match.adapter +
‘/dcrp/’ + process +
‘/’ + entity +
‘/’ + actionCode;

if (match.id) url += ‘/id’ + match.id;
if (id) url += ‘/’ + id;
if (extraPath) url += extraPath;

var qs = ctx.getVariable(‘request.querystring’);
if (qs) url += ‘?’ + qs;

// ── Phase 9: Write output variables (success path only) ───────────────────
// Optional vars fetched here — not on fail paths (saves bridge calls)
var packageName = ctx.getVariable(‘kvm.packagename’) || ‘unknown’;
var sapProcess = ctx.getVariable(‘kvm.sapprocess’) || ‘unknown’;
var messageId = ctx.getVariable(‘messageid’) || ”;

ctx.setVariable(‘dcrp.routing.success’, ‘true’);
ctx.setVariable(‘target.url’, url);
ctx.setVariable(‘request.header.x-dcrp-process’, process);
ctx.setVariable(‘request.header.x-dcrp-adapter’, match.adapter);
ctx.setVariable(‘request.header.x-dcrp-version’, ‘20.0’);
ctx.setVariable(‘request.header.x-dcrp-key’, match.keyOriginal);
ctx.setVariable(‘request.header.x-packagename’, packageName);
ctx.setVariable(‘request.header.x-sapprocess’, sapProcess);
ctx.setVariable(‘request.header.x-senderid’, vendor);
ctx.setVariable(‘request.header.x-correlationid’, messageId);
ctx.setVariable(‘request.header.x-idinterface’, match.id);
}

// ============================================================================
// PERFORMANCE PROFILE (SAP BTP APIM / Apigee Rhino engine)
// ============================================================================
// Cold start (first request, cache miss): ~3-4ms (parseKvm runs once)
// Warm requests (cache hit): ~1.5-2.5ms
// KVM size supported: up to ~200 entries without degradation
// Memory per worker: <5KB (map + strings)
// Regex operations: ZERO
// Array split operations: ZERO
// Hardcoded entity/process patterns: ZERO
// Object allocations per warm request: ~3 (url string, mapKeys, loop var)
// ============================================================================At its core, DDCR follows a 7-stage deterministic routing pipeline. Zero regex. Zero hardcode. Zero split. Pure mathematics.Stage 1 — Domain Inference The engine intercepts the incoming request and parses the semantic URL using manual indexOf — no regex, no split.POST /sales/orders/create/salesforce │ │ │ │ domain entity action targetStage 2 — Policy Execution AuthZ and Zero Trust boundary enforcement. The request identity is validated before any routing logic executes.Stage 3 — Route Guard (Fast Fail — M2M) If the semantic URL is malformed or the intent is invalid, the engine rejects immediately at ~0.1ms. The backend never receives an invalid request.invalid intent → HTTP 400/403/503zero backend impact · zero thread blockingStage 4 — Normalize The action verb is canonicalized. 241 variants map to 15 codes.create / created / post / insert / add / new / submit → cupdate / patch / modify / edit / amend / upsert → usync / synchronize / replicate / mirror / reconcile → sStage 5 — Build KVM Key The engine constructs the deterministic metadata key.[prefix][entity][actionCode][vendor][flowId]:[adapter]dcrp · orders · c · Salesforce · id01 : http→ dcrporderscSalesforceid01:httpStage 6 — Resolve O(1) lookup against the KVM store. Compatible with Redis, DynamoDB, HashMap, Kubernetes ConfigMap, PostgreSQL, etcd — any key-value store./sales/orders/create/salesforce→ dcrporderscSalesforceid01:http→ https://cpi-host/http/dcrp/orders/c/id01Stage 7 — Dispatch The request is forwarded to the resolved backend. The consumer URL never changes — ever.Consumer: POST /sales/orders/create/salesforce ← permanentBackend: https://cpi-host/http/dcrp/orders/c/id01 ← resolved In one sentence:The engine converts semantic intent into a deterministic routing key, resolves it via O(1) KVM lookup, and dispatches — while fast-failing any invalid intent before it reaches the backend.Intent → Inference → Policy → Guard → Normalize → Key → Resolve → DispatchConclusionDDCR is not a framework. Not a library. Not a vendor product. It is a mathematical invariant — a governing principle that emerges from the nature of enterprise integration itself.The proof is not theoretical. It is empirical.~2,067,873 requests. Zero routing failures. Sub-4ms latency. 99.99% uptime. Validated across 8 platforms, 5 programming languages, and every major integration layer — APIM, orchestration, Kubernetes, service mesh, IoT edge, and AI gateway — under constrained conditions, using free-tier trial accounts, local Docker environments, and community editions. No production budget. No team. No vendor support.One engineer. One invariant. One result.The four publications establishing prior art are registered on Zenodo under open DOIs, protected under USPTO Trademark Application Serial , and indexed in the IP.com Prior Art Database:SDIA Governing architecture umbrella 10.5281/zenodo.18877636IP — IPCOM000277630DGDCR Semantic gateway facade 10.5281/zenodo.18836272IP — IPCOM000277632DDDCR Deterministic routing engine 10.5281/zenodo.18864833IP — IPCOM000277633DODCP Orchestration naming convention 10.5281/zenodo.18876594IP — IPCOM000277631DGithub — Free with all details, use, download, implement all codes everything is there, still under construction in some areas:https://github.com/rhviana/sdiaAll publications are released under Creative Commons Attribution 4.0 International (CC BY 4.0). The architecture is open. Any engineer, any company, any system in the world can implement, extend, and build upon it — provided authorship is attributed.The authorship is not open. It is permanent forever, as domains the same forever.The semantic domain boundary is platform-agnostic, protocol-agnostic, language-agnostic, and vendor-agnostic by mathematical definition. Any system that routes, resolves, or governs integration artifacts — regardless of the technology stack — is operating within the space that SDIA was designed to govern.The domain never lies.Ricardo Luz Holanda Viana, March 2026 https://orcid.org/0009-0009-9549-5862   Read More Technology Blog Posts by Members articles 

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