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Case Study / Enterprise Integration

Real‑time Oracle ↔ Salesforce integration, built for scale

8Bit System designed and delivered a resilient, event-driven integration platform connecting Oracle Database and Salesforce CRM — migrated off legacy Node.js middleware onto Apache Camel and Spring Boot, and shipped through a full OpenShift & ECR (Elastic Container Registry) container pipeline.

99.98% platform uptime
4.2M+ daily records synced
<350ms avg. sync latency
live-architecture.svg
Oracle Database Core transactional store Apache Camel Integration routing layer Spring Boot APIs Domain microservices Salesforce CRM Customer & sales cloud Docker ECR OpenShift
Client Need
Real-time CRM Sync
Technology
Camel + Spring Boot
Core Delivery
Oracle↔Salesforce
Business Outcome
0% faster syncs
Project Overview

One integration backbone for finance, sales and payments

The client's operations depended on two systems of record that had drifted out of sync: Oracle for core transactional data and Salesforce for the customer-facing sales pipeline. 8Bit System was engaged to design and build a single, event-driven backbone connecting both in real time.

  • Replaced a fragile, single-threaded Node.js sync job with a fault-tolerant Camel routing layer
  • Modeled Oracle and Salesforce as independent domains behind versioned Spring Boot APIs
  • Containerized the entire platform, storing every image in ECR (Elastic Container Registry) and deploying it through OpenShift
  • Instrumented every route with metrics, structured logs and automated retry/dead-letter handling
Apache Camel 4.x
Spring Boot 3.2
Oracle 19c
Salesforce REST/Bulk API
OpenShift / ECR
GitLab CI/CD

Delivered as a single programme spanning discovery, migration, containerization and managed hypercare — with zero unplanned downtime during cutover.

Business Challenges

What was breaking down before 8Bit stepped in

01

Data drift between systems

Oracle and Salesforce records fell out of sync for hours at a time, forcing manual reconciliation by finance and sales ops.

02

Brittle Node.js middleware

A single custom Node.js service handled all sync logic with no retry semantics — one failure silently dropped records.

03

No visibility into failures

Failed sync jobs went unnoticed until sales or finance teams stumbled on mismatched records days later.

04

Manual, risky deployments

Releases were shipped by hand onto a single VM, with no rollback path and frequent weekend outages.

Objectives

What the platform had to deliver on day one

Every objective was scoped jointly with the client's engineering and finance leads, then mapped directly to measurable SLAs before a line of code was written.

Sub-second propagation

Changes in Oracle should reach Salesforce — and vice-versa — in under a second under normal load.

🛡️

Guaranteed delivery

No record should ever be silently lost; every failure routes to a monitored dead-letter channel.

📦

Fully containerized rollout

Every service ships as an image, deployed through an auditable, repeatable pipeline.

📈

Horizontal scalability

The platform must absorb 5x transaction volume during peak sales and reporting windows without re-architecture.

Architecture

Two routes, one integration fabric

Each direction runs as an isolated, independently deployable Camel route — so a slowdown in one integration never blocks the other.

Oracle → Salesforce
Salesforce → Oracle
Oracle DB CDC trigger + queue table Apache Camel JPA poll → transform → REST retry + DLQ Salesforce CRM Composite REST API
Change-data-capture on Oracle triggers a Camel route that upserts records via Salesforce's Composite API.
Active flowProcessing node
Salesforce CRM Platform Event stream Apache Camel CometD consumer → validate idempotent upsert Oracle DB MERGE via stored proc
Salesforce Platform Events are streamed via CometD into Camel, validated, and merged into Oracle idempotently.
Active flowProcessing node
Migration Journey

From a single Node.js script to a resilient Camel platform

Phase 1

Audit the legacy Node.js sync job

Mapped every implicit business rule buried inside the existing script before writing a single Camel route.

Phase 2

Stand up Camel routes in parallel

New routes ran in shadow mode alongside Node.js, comparing output on every record before cutover.

Phase 3

Wrap routes in Spring Boot services

Each Camel context was packaged behind a versioned Spring Boot API with health checks and metrics.

Phase 4

Decommission Node.js

Traffic was shifted route-by-route until the legacy service was retired with zero customer-facing incidents.

Containerization

Docker → OpenShift → ECR → AWS

Every microservice ships as a slim, multi-stage Docker image, pushed to ECR (Elastic Container Registry) and deployed onto OpenShift on AWS through a fully automated GitLab pipeline.

Git commit Developer GitLab CI Build & test Docker image Registry push OpenShift Rolling deploy AWS · ECR REGISTRY Image: camel-svc Image: sb-api Image: gateway Immutable tags · scan-on-push · lifecycle policy · pulled by OpenShift
Docker
OpenShift
ECR (Elastic Container Registry)
AWS
GitLab CI/CD
Our Responsibilities

What 8Bit System owned end-to-end

🧭

Integration architecture

Designed the Camel routing topology, retry semantics and DLQ strategy for both integration directions.

🧩

API design

Specified and versioned every Spring Boot REST contract consumed by internal and partner systems.

🗄️

Data modeling

Reworked the Oracle CDC schema and Salesforce field mappings to remove duplicate sources of truth.

🐳

Containerization

Authored multi-stage Dockerfiles and Helm-style manifests for every service in the platform.

📦

ECR & OpenShift ops

Managed image lifecycle policies in ECR (Elastic Container Registry) and configured autoscaling, probes, secrets and network policies on the production cluster.

🔁

CI/CD pipeline

Built the GitLab pipeline covering test, image build, security scan and progressive rollout.

Implementation Snapshots

Production code from the platform

A representative slice of the codebase — routing, persistence, deployment and pipeline configuration, exactly as it runs in production.

Challenges & Solutions

Where it got hard, and how we solved it

Challenge

Salesforce API limits under peak load

Bulk sync windows regularly hit Salesforce's REST call limits, throttling downstream updates.

Solution

Composite & Bulk API batching

Switched high-volume writes to the Bulk API and batched Composite requests, cutting call volume by 78%.

Challenge

Duplicate writes during retries

Naive retries on transient failures occasionally created duplicate Oracle records.

Solution

Idempotency keys + MERGE

Every message carries an idempotency key; Oracle writes use MERGE so retries are always safe.

Challenge

Silent sync failures

Failed integration messages had no alerting path, surfacing only through internal complaints days later.

Solution

Dead-letter channel + alerting

Unrecoverable failures route to a monitored DLQ with PagerDuty alerts and a replay endpoint.

Challenge

Risky manual deployments

Hand-run deployments on a single VM had no rollback path and caused weekend outages.

Solution

GitLab CI/CD to OpenShift

Automated blue/green rollouts with one-click rollback removed deployment risk almost entirely.

Business Impact

Measured results after go-live

0%
Platform uptime
0%
Faster data sync
0%
Fewer API calls
0M+
Records synced daily
0
Data-loss incidents
Outcome

A platform the client's team now extends on its own

Beyond the technical migration, 8Bit System handed over a documented, observable platform — and trained the client's internal engineers to operate and extend it independently.

  • Legacy Node.js middleware fully decommissioned
  • Both integration directions running on isolated, independently scalable routes
  • Full observability via structured logs, metrics and distributed tracing
  • Internal team enabled to ship new Camel routes without 8Bit involvement
Engagement length7 months
Services migrated2 core domains
EnvironmentsDev / QA / Prod
Post-launch support90-day hypercare
Technology Stack

Every layer of the platform

JV
Java 21
Language
SB
Spring Boot
Framework
CM
Apache Camel
Integration
OR
Oracle 19c
Database
SF
Salesforce
CRM
DK
Docker
Containers
ECR
ECR
Container Registry
OS
OpenShift
Platform
AW
AWS
Cloud
GL
GitLab CI
CI/CD
GR
Grafana
Observability

Have an integration problem like this one?

Talk to the team that took this platform from a single fragile script to a self-healing, containerized integration fabric.