Raw Data Zero Spin. Real Results.

Live telemetry from Flowtaris enterprise integrations.

99.99%

Uptime SLA

42ms

P99 Latency

Data Loss

>_Explore Telemetry View Architecture →

SYSSAP_S4HANA_MATMAS → KAFKA_TOPIC[erp.master.items] : LATENCY 14ms

WARNNETSUITE_API_CONCURRENCY_LIMIT_REACHED → BACKPRESSURE_ABSORBED

OKORACLE_ERP_INVOICE_SYNC → HTTP_409_CONFLICT → DUPLICATE_IGNORED

ERRMICROSOFT_DYNAMICS_365_SCHEMA_MISMATCH → ROUTED_TO_DLQ

INFOSAP_ECC_IDOC_INGRESS → BATCH_PROCESSING_SUCCESS (1,492 RECORDS)

WARNSALESFORCE_CORE_RATE_LIMIT_NEAR → EXPONENTIAL_BACKOFF_ACTIVE

OKWORKDAY_HCM_WORKER_UPDATE → E2E_DELIVERY_VERIFIED

SYSERP_DB_CONN_POOL_EXHAUSTED → CIRCUIT_BREAKER_OPENED → FAILOVER_ROUTING

INFOAWS_EVENTBRIDGE_RULE_TRIGGERED → NETSUITE_JOURNAL_ENTRY_SYNC

OKP99_ERP_SYNC_LATENCY → 42ms (ACROSS 5 DISTRIBUTED SYSTEMS)

ERRKAFKA_CONSUMER_LAG_CRITICAL → PARTITION_REBALANCE_TRIGGERED

SYSORACLE_DB_FAILOVER → STANDBY_PROMOTED → READ_WRITE_RESTORED

INFOAZURE_SERVICE_BUS_THROUGHPUT → 38K_MSG_PER_SEC : NOMINAL

WARNSAP_RFC_CONNECTION_TIMEOUT → RETRY_QUEUE_ACTIVE : ATTEMPT 3/5

OKSTRIPE_WEBHOOK_PROCESSED → REVENUE_EVENT_COMMITTED_TO_DWH

ERRHUBSPOT_CRM_SYNC_FAILURE → DEAD_LETTER_QUEUE : ALERT_SENT

SYSKUBERNETES_POD_RESTART → STATEFULSET_RECONCILED → HEALTHY

OKSHOPIFY_ORDER_WEBHOOK → SAP_SALES_ORDER_CREATED : 200ms

WARNREDIS_CACHE_EVICTION_RATE_HIGH → WARM_UP_PROCEDURE_STARTED

INFODEBEZIUM_CDC_STREAM → POSTGRESQL_CHANGES_CAPTURED : 8,241 ROWS

SYSSAP_S4HANA_MATMAS → KAFKA_TOPIC[erp.master.items] : LATENCY 14ms

WARNNETSUITE_API_CONCURRENCY_LIMIT_REACHED → BACKPRESSURE_ABSORBED

OKORACLE_ERP_INVOICE_SYNC → HTTP_409_CONFLICT → DUPLICATE_IGNORED

ERRMICROSOFT_DYNAMICS_365_SCHEMA_MISMATCH → ROUTED_TO_DLQ

INFOSAP_ECC_IDOC_INGRESS → BATCH_PROCESSING_SUCCESS (1,492 RECORDS)

WARNSALESFORCE_CORE_RATE_LIMIT_NEAR → EXPONENTIAL_BACKOFF_ACTIVE

OKWORKDAY_HCM_WORKER_UPDATE → E2E_DELIVERY_VERIFIED

SYSERP_DB_CONN_POOL_EXHAUSTED → CIRCUIT_BREAKER_OPENED → FAILOVER_ROUTING

INFOAWS_EVENTBRIDGE_RULE_TRIGGERED → NETSUITE_JOURNAL_ENTRY_SYNC

OKP99_ERP_SYNC_LATENCY → 42ms (ACROSS 5 DISTRIBUTED SYSTEMS)

ERRKAFKA_CONSUMER_LAG_CRITICAL → PARTITION_REBALANCE_TRIGGERED

SYSORACLE_DB_FAILOVER → STANDBY_PROMOTED → READ_WRITE_RESTORED

INFOAZURE_SERVICE_BUS_THROUGHPUT → 38K_MSG_PER_SEC : NOMINAL

WARNSAP_RFC_CONNECTION_TIMEOUT → RETRY_QUEUE_ACTIVE : ATTEMPT 3/5

OKSTRIPE_WEBHOOK_PROCESSED → REVENUE_EVENT_COMMITTED_TO_DWH

ERRHUBSPOT_CRM_SYNC_FAILURE → DEAD_LETTER_QUEUE : ALERT_SENT

SYSKUBERNETES_POD_RESTART → STATEFULSET_RECONCILED → HEALTHY

OKSHOPIFY_ORDER_WEBHOOK → SAP_SALES_ORDER_CREATED : 200ms

WARNREDIS_CACHE_EVICTION_RATE_HIGH → WARM_UP_PROCEDURE_STARTED

INFODEBEZIUM_CDC_STREAM → POSTGRESQL_CHANGES_CAPTURED : 8,241 ROWS

// live_metrics.query()

Deterministic Performance

Real numbers from production systems.

Payload Success Rate

30-Day Rolling Window

Deployment Frequency

14 / day

Microservice artifacts shipped daily.

Lead Time

4.2 hrs

Commit to production.

Change Failure Rate

0.01 %

Requiring rollback.

Mean Time To Restore

12 mins

P1/P2 incident duration.

INFRASTRUCTURE_STATUS: NOMINAL

Event-Driven Architecture

Built for Resilience,
Not Just Connectivity.

We decouple enterprise systems using Apache Kafka and AWS EventBridge. When SAP goes down or NetSuite enforces concurrency limits, our middleware absorbs the backpressure.

Messages queue safely in durable Kafka topics. Nothing is lost. When the downstream system recovers, processing resumes with full ordering guarantees and exactly-once delivery semantics.

This is the fundamental difference between enterprise scripting and enterprise engineering. Scripts break under pressure. Distributed systems absorb it.

42K

msg/sec

99.99%

Uptime SLA

Data Loss

The Flowtaris Standard

Engineering Over Marketing.

Over 70% of enterprise digital transformations fail.

Strict Schema Validation

Every payload is validated against a JSON Schema.

// 1. Receive data from external system

const data = await receivePayload();

// 2. Check if data is perfectly formatted

if (data.isMissingRequiredFields()) {

// 3. Stop immediately. Do not send bad data to ERP.

return rejectAndNotifyAdmin(data);

}

Idempotent Processors

Retries never produce duplicates.

// 1. Check if we already processed this exact invoice

const isDuplicate = await checkDatabase(invoice.id);

if (isDuplicate) {

// 2. If duplicate, safely ignore it. No double billing.

return "Already Processed";

} else {

// 3. Otherwise, proceed safely.

await processPayment(invoice);

}

Automated Circuit Breakers

Circuit trips when error rate exceeds 5%.

// 1. Continuously monitor the target system (e.g. SAP)

const systemHealth = monitorTargetSystem();

// 2. If the system starts failing or slowing down

if (systemHealth.errorRate > 5%) {

// 3. Pause all traffic to prevent a total crash

await pauseTrafficAndQueueMessages();

}

Operational Transparency

Real Dashboards. Real Data.

Every metric is sourced from live Supabase tables.

Public accountability builds trust.

847

Integrations Deployed

Enterprise Clients

4.7M

Payloads / Month

ERP Platforms

Technical Knowledge Base

Engineering FAQ

How does Flowtaris handle API rate limits?

Token bucket algorithms with exponential backoff.

What is the Accountability Engine?

A public ledger of technical competence.

What happens when an ERP goes offline?

Kafka-backed middleware absorbs backpressure.

How is data integrity guaranteed?

JSON Schema validation at ingress.

Knowledge Base

What is the Flowtaris Accountability Engine?

The Flowtaris Accountability Engine is a public, real-time transparency platform that exposes live DORA metrics, integration telemetry, delivery standards, and compliance documentation from Flowtaris enterprise ERP integrations. Unlike traditional consulting agencies that hide behind NDAs and marketing claims, Flowtaris publishes deterministic engineering data — including deployment frequency, mean time to restore, change failure rates, and payload success rates — directly from production systems.

— Flowtaris Engineering, flowtaris.net

How does Flowtaris measure enterprise integration quality?

Flowtaris measures integration quality using the four DORA (DevOps Research and Assessment) metrics: Deployment Frequency (14 deployments per day), Lead Time for Changes (4.2 hours from commit to production), Change Failure Rate (0.01%), and Mean Time to Restore (12 minutes). These metrics are extracted directly from CI/CD pipeline telemetry and Kafka consumer lag monitors, not self-reported estimates. Additionally, Flowtaris tracks a 99.99% payload success rate across all enterprise ERP integrations including NetSuite, SAP, Coupa, and Workday.

— Flowtaris DORA Dashboard, flowtaris.net

Why does Flowtaris publish engineering metrics publicly?

Flowtaris publishes engineering metrics publicly because they believe the most powerful sales tool is public accountability. Over 70% of enterprise digital transformations fail because system integrators lack engineering discipline and hide behind opaque project management. By exposing real-time DORA metrics, incident post-mortems, and integration health data, Flowtaris eliminates the trust gap between consulting promises and actual delivery. Enterprise CTOs and CFOs can verify engineering competence mathematically before signing a contract.

— Flowtaris Master Plan, flowtaris.net

Ready to Build

Stop Guessing. Start Engineering.

Flowtaris delivers with public accountability.

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