API-Led, Event-Driven, Contract-Safe — With Evidence
Application Integration connects your SaaS, custom apps, data platforms, and partners so work flows reliably, securely, and measurably.
SolveForce builds integration as a system: API-led + event-driven patterns, data contracts & schema registry, idempotent pipelines with DLQs, and end-to-end tracing — all wired to SIEM/SOAR so you can prove correctness and compliance.
Connective tissue:
📦 Data → /etl-elt • /data-warehouse • 🧭 Governance → /data-governance
☁️ Platform → /cloud • ☸️ Runtime → /kubernetes • /serverless
🔐 Security → /iam • /ztna • /sase • /key-management • /secrets-management • /encryption
🌐 Edge → /waf • /ddos • 🔧 Delivery → /infrastructure-as-code • /devops
📊 Evidence/Automation → /siem-soar • 🔏 Privacy → /dlp • 🧠 AI/RAG → /vector-databases
🎯 Outcomes (Why SolveForce Integration)
- Resilient flows — retries with jitter, idempotency keys, DLQs, and replayable events keep data moving.
- Fewer breaks — data contracts & schema registry block breaking changes before deploy.
- Lower latency & cost — right pattern (sync, async, batch) per use-case; cache and backpressure where needed.
- Security by design — Zero-Trust edges, signed requests, token/secret custody, and DLP on egress.
- Audit-ready — correlation IDs, traces, and change evidence exported to SIEM/SOAR.
🧭 Scope (What We Build & Operate)
- API-led (REST/GraphQL/gRPC) — gateways, authZ, quotas, schema validation, versioning.
- Event-driven (Kafka / Pub/Sub / Event Hubs) — topics, consumer groups, DLQs, exactly-once effects.
- Batch & ELT — CDC and scheduled jobs to lake/warehouse with lineage & DQ tests. → /etl-elt • /data-warehouse
- Workflow / iPaaS — orchestrations (sagas/step functions), compensations, human-in-the-loop approvals.
- B2B — EDI/AS2/SFTP/API partner exchanges, schema validation, non-repudiation.
- SaaS integration — CRM/ERP/ITSM/CCaaS connectors, webhook hardening, secret rotation.
- Observability — OpenTelemetry traces/logs/metrics; correlation IDs across hops → SIEM/SOAR. → /siem-soar
🧱 Building Blocks (Spelled Out)
- Contracts & Registry
- JSON Schema / OpenAPI / GraphQL SDL / Avro with compatibility rules; PR gates in CI. → /infrastructure-as-code
- Idempotency & Delivery
- Idempotency keys, dedupe stores, transactional outbox, FIFO where needed; DLQs + replay.
- Backpressure & QoS
- Rate/queue limits, circuit breakers, bulkheads, scheduled drains; fallbacks and graceful degradation.
- Security
- SSO/MFA for consoles; mTLS/JWT/HMAC/JWS at APIs; CMEK/HSM keys; secrets in vault; ZTNA for private endpoints. → /iam • /key-management • /secrets-management • /ztna
- WAF/Bot + DDoS at edge; egress allow-lists; DLP for PII/PHI/PAN. → /waf • /ddos • /dlp
- Data Governance
- Labels & lineage (column/event level), retention & residency, contracts for producers/consumers. → /data-governance
🧰 Reference Patterns (Choose Your Fit)
A) API-First Microservices
Gateway → service mesh (mTLS, retries, timeouts) → per-route quotas & schema validation; versioned APIs with deprecation windows; OpenTelemetry tracing.
B) Event-Driven Ops (Near-Real-Time)
Producers → Kafka with Avro schemas → consumers with idempotent handlers; DLQs & replay tooling; exactly-once effects via outbox.
C) Batch CDC → Warehouse
Debezium/Native CDC → object storage → ELT/dbt → curated marts with lineage & DQ tests; change contracts catch drift. → /etl-elt • /data-warehouse
D) B2B Partner Exchange
AS2/SFTP/API with non-repudiation, checksums, and functional acks; throttles & quarantine lanes; partner-specific transforms.
E) Workflow/Saga Orchestration
State machine (step functions) with compensations; human approvals for risky steps; SOAR can auto-rollback or escalate. → /siem-soar
F) AI-Aware Integration
Event tap → feature store → vector index; guarded RAG for support/ops with cite-or-refuse; no raw PII to external models. → /vector-databases
📐 SLO Guardrails (Targets You Can Measure)
| Domain | KPI / SLO | Target (Recommended) |
|---|---|---|
| Sync APIs | p95 latency (regional) | ≤ 50–200 ms (use-case dependent) |
| Availability | ≥ 99.95–99.99% | |
| Events | End-to-end freshness | ≤ 1–60 s |
| DLQ rate | ≤ 0.1% of messages | |
| Batch | ETL completion window | On schedule; alert at +10% |
| Contracts | Breaking-change incidents | = 0 in prod (blocked in CI) |
| Security | mTLS/JWT coverage | = 100% internal traffic |
| Evidence | Trace/correlation coverage | ≥ 95% of flows to SIEM |
SLO breaches open tickets and trigger SOAR (throttle/retry, reroute, roll back contract, rotate keys). → /siem-soar
📊 Observability & Evidence
- Traces across hops (traceID/spanID), structured logs with correlation IDs, metrics (RPS, p95, error %, lag).
- Contract analytics (compatibility, adoption, deprecations), DLQ dashboards, replay audits.
- Security evidence: WAF hits, JWT/mTLS failures, key rotations, DLP actions.
All exported to SIEM with monthly reports for compliance and partners. → /siem-soar
🔒 Compliance & Privacy
- PCI DSS — tokenization, CDE segmentation, WAF, key custody (HSM), immutable logs. → /pci-dss
- HIPAA — PHI labels, minimum necessary, audit controls, BAAs.
- SOC 2 / ISO 27001 — access/change/logging, incident evidence.
- GDPR/CCPA — residency, purpose limitation, DSR workflows; redaction at edges.
🛠️ Implementation Blueprint (No-Surprise Delivery)
1) Inventory flows & SLAs — sync vs async vs batch; data classes; partners; KPIs.
2) Pick patterns — API-led, event-driven, batch; choose gateways/brokers/runtimes.
3) Define contracts — schemas & compatibility rules; registry + PR gates.
4) Build reliability — idempotency keys, outbox, DLQs, retries/backoff, backpressure.
5) Secure the edges — mTLS/JWT/HMAC; WAF/Bot; ZTNA; vault/KMS; DLP & egress policy.
6) Observe & prove — OTel traces/logs/metrics; SIEM dashboards; SOAR runbooks.
7) Migrate & deprecate — dual-run, canary, traffic weights; deprecation comms.
8) Operate — capacity & SLO reviews; contract governance; DR drills & replay tests.
✅ Pre-Engagement Checklist
- 🔀 Use-cases & SLAs (sync/event/batch), critical paths, partners.
- 📚 Contract/registry status; schema tech (OpenAPI/Avro/JSON Schema/GraphQL SDL).
- ☁️ Runtimes (K8s/serverless), gateways, brokers; CI/CD stack.
- 🔐 Identity (SSO/MFA), mTLS/JWT/HMAC, vault/KMS posture; ZTNA scope.
- 🔏 Data labels (PII/PHI/PAN/CUI), DLP & residency rules.
- 📊 Observability targets (trace coverage, lag SLOs), SIEM endpoint; SOAR actions.
- 🧪 Replay & DR needs; failover plans; test data strategy.
- 💸 Budget guardrails; throughput & burst expectations.
🔄 Where Application Integration Fits (Recursive View)
1) Grammar — data & commands traverse /connectivity and the app fabric.
2) Syntax — APIs/events/batch compose on /cloud with /kubernetes//serverless.
3) Semantics — /data-governance & /dlp preserve meaning & privacy.
4) Pragmatics — /siem-soar proves correctness; /solveforce-ai learns safely from governed events.