SAP ERP Integration

Go Microservices

Go microservices handle deterministic SAP ERP workflows. Senrok engineers enforce webhook idempotency and rate-limit backpressure at the transport layer.

Go + SAP ERP: Webhook and Sync Architecture

Webhook payloads arrive as POST requests. Each payload includes an idempotency key. Go middleware extracts the key, queries Redis for duplicates, and returns 200 OK if already processed. Fresh payloads are decoded, validated against an XSD schema, and dispatched to worker goroutines via a bounded channel.

Rate limits are enforced per SAP API endpoint. A token bucket per service (rate: 100 requests/second, burst: 150) rejects excess requests with 429 and a Retry-After header. Adaptive backoff reads SAP's Retry-After response header and delays retries exponentially.

Data sync uses batch jobs with offset tracking. A coordinator goroutine fetches changes via SAP's delta queries. Each batch of 500 records is processed in parallel with a semaphore limiting concurrency to 10. Offsets are persisted in PostgreSQL after each successful batch.

SAP IAM and Permission Boundaries

Each Go microservice authenticates to SAP using OAuth2 client credentials. Scopes are limited to the minimum required actions (e.g., read_only for reporting services). Tokens are cached in memory and refreshed before expiry.

Service accounts are created per environment. Permissions follow least privilege: a microservice handling order sync cannot access finance data. All IAM changes are logged and require approval via change management.

Audit trails record every API call: timestamp, service identity, payload hash, and response code. Logs are shipped to a SIEM for anomaly detection. Key rotation happens automatically every 90 days via HashiCorp Vault.

Common Implementation Pitfalls

  • Naive SaaS AI wrappers assume stateless webhooks. Stateful deduplication is mandatory.
  • Insecure API keys stored in environment variables without rotation break auditing. Use secret managers with automatic rotation.
  • Ignoring backpressure from rate limits causes cascading failures. Implement circuit breakers per downstream SAP system.
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Engineering Benefits

Webhook Payload Idempotency
100%
API Rate Limit Bypass
0%
Data Sync Latency (99th percentile)
< 50ms

Frequently Asked Questions

How do you guarantee webhook idempotency in Go?

We use idempotency keys and deduplication caches (Redis) with TTL. Each payload has a unique key; duplicate webhooks return 200 OK without processing.

What is the rate limit strategy for SAP ERP APIs?

Senrok implements adaptive backoff using SAP's Retry-After headers combined with a per-service token bucket. Burst windows respect contractual limits.

How are IAM permissions scoped per microservice?

Each Go microservice uses OAuth2 client credentials with minimum required scopes. Permissions are audited quarterly; revocation is immediate via SAP's role-based access control.

Engineering services

Ready to turn this into a production agent system?

Go Microservices · SAP ERP is the kind of workflow we build as an AI agent system: deterministic checks, human checkpoints, and an audit trail operators can trust. We start from your real process boundaries and ship software that holds up in production.

The Senrok Approach to AI Agents

We build production-ready, highly observable agentic systems engineered for enterprise scale. No black boxes, no magic—just systematized workflows with systemic safeguards.

Human-in-the-Loop Orchestration

We don't build fragile wrappers. Complex decisions and exceptions are automatically routed to your team for approval, ensuring zero unverified actions in production.

Deterministic Validation

Every AI-generated output is validated against deterministic, programmatic rules before execution, guaranteeing structural integrity and compliance.

100% Audit Trails

Our architecture records every state change, agent reasoning step, and user interaction, providing complete observability into your automated workflows.

Performance Engineering

Built for enterprise scale. We optimize for high-throughput, low-latency execution using edge infrastructure and efficient state management.