Go behind the design decisions of real-world integrations, serverless platforms, and enterprise data flows. Architect-led, verified in production.
An enterprise-grade serverless ERP system built to coordinate clients, vendors, and internal operations teams in real time.
Features deep tradeoff analysis on serverless cold-starts, connection pooling, and Cognito authorization patterns.
View Reference Architecture →Dynamic multi-tenant contact and lead synchronization mapping incoming customer chats directly to EspoCRM or HubSpot.
Features conditional data de-duplication lookups and self-healing recovery routes for stale CRM mappings.
View Reference Architecture →A high-security, 3-tier API-led MuleSoft architecture orchestrating donor registration, verification, and medical deferral synchronization.
Features PII de-duplication rules using partial SSN hashes, real-time event listeners, and Salesforce Health Cloud integrations.
View Reference Architecture →An enterprise-grade serverless ERP system built to coordinate clients, vendors, and internal operations teams in real time.
Dilema: The initial spec proposed NestJS on AWS Lambda. While NestJS provides clean enterprise organization, its heavy DI container leads to cold start latencies of 1.5 to 3 seconds. For a real-time ERP interface, this lag ruins the user experience.
Decision: We replaced NestJS with Hono running on Node.js. Hono is a zero-dependency, ultra-lightweight framework built specifically for serverless edge/lambda environments.
Dilema: Managing complex multi-tenant client hierarchies and granular role-based permissions (RBAC) directly inside Cognito Groups is rigid, hard to audit, and bloats JWT token payloads.
Decision: We use Amazon Cognito strictly for Authentication (verifying identity). All Authorization (permissions logic) is managed entirely within PostgreSQL tables.
Dilema: PostgreSQL opens a separate OS process for every connection. In serverless, Lambda functions scale horizontally. A surge of vendors updating stock would spin up dozens of Lambdas, instantly exhausting database connection limits.
Decision: We deployed Amazon RDS Proxy between the Lambda functions and the Aurora database.
Dilema: While Aurora Serverless v2 scales automatically based on capacity units (ACUs), inefficient queries or excessive client polling will trigger high capacity scaling, leading to unexpectedly high monthly AWS bills.
Decision: We set strict min/max limits on ACU scaling inside Terraform, and implemented React Query cache layers on the frontend.
Dilema: Generating 200+ page high-resolution catalogs or parsing massive Excel sheets can easily exceed AWS Lambda's strict 15-minute runtime execution limit.
Decision: We used an EventBridge router and SQS queue to process standard async tasks.
Dynamic multi-tenant contact and lead synchronization mapping incoming customer chats directly to EspoCRM or HubSpot.
Dilema: Managing separate n8n workflows for each tenant CRM would be a maintenance nightmare as client onboarding increases.
Decision: Built a single, parameterized workflow using dynamic lookups (GET: Tenant Settings) and a centralized SWITCH router node to direct payloads based on client CRM configurations.
Dilema: Webhook spikes can trigger duplicate contacts in the CRM if multiple chat messages arrive from the same email before the first contact creation database operation completes.
Decision: Implemented a multi-stage validation check (Check if Lead Exists -> Check if Contact Exists on match).
Dilema: When a sales operator converts a lead into a contact in the CRM manually, old ID references in n8n's lookup table cause sync errors on future messages.
Decision: Added a verification branch (LeadCondition) that checks the CRM record state.
A high-security, 3-tier API-led MuleSoft architecture orchestrating donor registration, verification, and medical deferral synchronization.
Dilemma: US regulations require verifying donor identity against national medical deferral registries. However, strict HIPAA compliance prohibits storing full Social Security Numbers (SSN) within Mobile App or intermediate integration layers.
Decision: Configured a secure identity resolution layer via the DMS System API and Data360. We query records using First/Last Name, DOB, and only the last 4 or 5 digits of the SSN (matched as one-way encrypted hashes).
Dilemma: Creating direct peer-to-peer data pipes between Salesforce Health Cloud, the mobile app, and the legacy Oracle DMS database creates high dependency coupling, making schema updates risky.
Decision: Deployed MuleSoft's 3-tier API architecture: Experience APIs (channel-optimized), Process APIs (business logic), and System APIs (secure adapters).
Dilemma: If a donor is deferred due to a medical exam at a center, promotional emails must stop immediately. Synchronizing this via daily batch runs leaves a compliance window open, exposing the company to penalties.
Decision: Implemented a real-time Event Listener system API. When a deferral is recorded in DMS, it fires an immediate message queue event routed directly to update Salesforce Health Cloud and Marketing Cloud.