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.
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.
Delivered as a single programme spanning discovery, migration, containerization and managed hypercare — with zero unplanned downtime during cutover.
Oracle and Salesforce records fell out of sync for hours at a time, forcing manual reconciliation by finance and sales ops.
A single custom Node.js service handled all sync logic with no retry semantics — one failure silently dropped records.
Failed sync jobs went unnoticed until sales or finance teams stumbled on mismatched records days later.
Releases were shipped by hand onto a single VM, with no rollback path and frequent weekend outages.
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.
Changes in Oracle should reach Salesforce — and vice-versa — in under a second under normal load.
No record should ever be silently lost; every failure routes to a monitored dead-letter channel.
Every service ships as an image, deployed through an auditable, repeatable pipeline.
The platform must absorb 5x transaction volume during peak sales and reporting windows without re-architecture.
Each direction runs as an isolated, independently deployable Camel route — so a slowdown in one integration never blocks the other.
Mapped every implicit business rule buried inside the existing script before writing a single Camel route.
New routes ran in shadow mode alongside Node.js, comparing output on every record before cutover.
Each Camel context was packaged behind a versioned Spring Boot API with health checks and metrics.
Traffic was shifted route-by-route until the legacy service was retired with zero customer-facing incidents.
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.
Designed the Camel routing topology, retry semantics and DLQ strategy for both integration directions.
Specified and versioned every Spring Boot REST contract consumed by internal and partner systems.
Reworked the Oracle CDC schema and Salesforce field mappings to remove duplicate sources of truth.
Authored multi-stage Dockerfiles and Helm-style manifests for every service in the platform.
Managed image lifecycle policies in ECR (Elastic Container Registry) and configured autoscaling, probes, secrets and network policies on the production cluster.
Built the GitLab pipeline covering test, image build, security scan and progressive rollout.
A representative slice of the codebase — routing, persistence, deployment and pipeline configuration, exactly as it runs in production.
Bulk sync windows regularly hit Salesforce's REST call limits, throttling downstream updates.
Switched high-volume writes to the Bulk API and batched Composite requests, cutting call volume by 78%.
Naive retries on transient failures occasionally created duplicate Oracle records.
Every message carries an idempotency key; Oracle writes use MERGE so retries are always safe.
Failed integration messages had no alerting path, surfacing only through internal complaints days later.
Unrecoverable failures route to a monitored DLQ with PagerDuty alerts and a replay endpoint.
Hand-run deployments on a single VM had no rollback path and caused weekend outages.
Automated blue/green rollouts with one-click rollback removed deployment risk almost entirely.
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.
Talk to the team that took this platform from a single fragile script to a self-healing, containerized integration fabric.