Enterprise & Security

Enterprise Integration

High-throughput event streaming, API gateways, and seamless legacy-to-cloud connectivity.

Enterprise data silos between legacy ERPs, modern SaaS platforms, and internal microservices paralyze decision-making and create manual bottlenecks.

Arraynic Systems constructs unified event-driven integration fabrics using Apache Kafka, RabbitMQ, and modern API Gateways to enable real-time bi-directional synchronization across the entire enterprise stack.

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Target Engineering Benchmarks
< 25ms

Event Message Latency

100,000+

Events / Second Throughput

99.999%

Delivery Guarantee (Exactly-Once)

Backed by strict SLA guarantees and 100% IP ownership.

01 — Problem vs Solution

Eliminating industry bottlenecks.

How our engineering standard solves common pitfalls that plague traditional development agencies.

The Common Flaw

Data fragmented across separate systems resulting in manual spreadsheets and sync errors.

The Arraynic Standard

Automated event streams that synchronize customer, order, and inventory data across all platforms in real time.

The Common Flaw

Downstream outages causing cascading failures across all connected business applications.

The Arraynic Standard

Asynchronous event queuing with Dead-Letter Queues ensures messages are never lost during system outages.

02 — Technical Pillars

Deep engineering capabilities.

Explore the modular technical foundations built into every enterprise integration deployment.

Pillar 01

Event-Driven Architecture (Kafka / RabbitMQ)

Decoupled event streaming platforms that broadcast business events reliably with distributed partitioning and schema registries.

Apache Kafka cluster design
Schema Registry (Avro / Protobuf)
Dead-letter queue (DLQ) automated replay
Pillar 02

Enterprise API Gateway & Service Mesh

Centralized API ingress with rate limiting, JWT validation, automated caching, and mutual TLS (mTLS) traffic encryption.

Kong / Envoy API Gateway setups
mTLS service-to-service encryption
Automated token validation & throttling
Pillar 03

Legacy ERP & CRM Bridging

Connecting modern cloud apps with legacy SAP, Oracle, Salesforce, and NetSuite databases through robust CDC pipelines.

Change Data Capture (Debezium)
Bi-directional state sync
Protocol transformation (SOAP to REST/JSON)
Pillar 04

Webhook & Partner Integration Hubs

High-reliability outbound webhook delivery engines with automated exponential backoff retries and payload signing.

HMAC SHA-256 signature verification
High-volume webhook queues
Partner developer portal & logging

03 — Execution Lifecycle

How we build & ship.

A predictable, transparent sprint cadence with visible working software delivered every week.

Phase 01

Integration Landscape Mapping

Auditing data flows, legacy protocols, payload schemas, and sync frequency across all systems.

Deliverable

Enterprise Integration Blueprint

Phase 02

Event Bus & Gateway Architecture

Deploying Kafka / RabbitMQ clusters, schema registries, and API gateway rate-limiters.

Deliverable

Event Infrastructure Setup

Phase 03

Connector & CDC Implementation

Building custom microservices, Debezium CDC connectors, and webhook processors.

Deliverable

End-to-End Integration Staging

Phase 04

Load Stress Testing & Production Cutover

Executing message throughput benchmarking, failover validation, and live data cutover.

Deliverable

Live Production Fabric & SLA Monitoring

04 — What You Receive

Tangible project deliverables.

  • High-Throughput API Gateways & Service Meshes
  • Event-Driven Message Buses (Kafka / RabbitMQ)
  • Legacy ERP / CRM System Bridging
  • Protocol Translation, Webhooks & Data Sync
05 — Technical Clarity

Frequently asked questions about Enterprise Integration.

How do you guarantee that messages are never lost during an outage?+

We configure distributed durable storage with multi-replica topics, persistent write-ahead logs (WAL), and automated Dead-Letter Queues with retry policies.

Can you integrate modern cloud apps with older on-premise ERP systems?+

Yes. We bridge legacy databases (SAP, AS400, Oracle) using secure VPN/DirectConnect tunnels and Change Data Capture (CDC) without modifying legacy code.

How do you handle API security between internal services?+

We implement Mutual TLS (mTLS) with automated certificate rotation and JWT OAuth2 token validation at the API gateway layer.

What event-streaming technologies do you work with?+

We specialize in Apache Kafka, AWS Kinesis, RabbitMQ, Redis Streams, Apache Flink, and Google Cloud Pub/Sub.

Connected Disciplines

Related capabilities in this spectrum.

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