AWS Serverless & Microservices
AQBEE architects serverless solutions on AWS that eliminate infrastructure management while delivering elastic, cost-effective scalability. AQBEE designs event-driven microservices using Lambda, API Gateway, Step Functions, SQS, SNS, and EventBridge — connected to Salesforce via real-time webhooks and the Salesforce-AWS connector for seamless CRM automation.
What We Deliver
Lambda & API Gateway
Build scalable REST and GraphQL APIs on Lambda and API Gateway that extend Salesforce with custom business logic, data processing, and third-party orchestration.
Step Functions Orchestration
Design multi-step serverless workflows using AWS Step Functions for complex approval chains, data pipelines, and integration orchestration with Salesforce.
EventBridge Integration
Implement event-driven architectures with Amazon EventBridge and the Salesforce connector for real-time CRM event processing and cross-service communication.
DynamoDB & Aurora Serverless
Deploy serverless databases for high-performance caching, session management, and data enrichment layers that complement Salesforce data.
Cost Optimisation
Right-size Lambda functions, implement provisioned concurrency, and design efficient architectures to minimise AWS costs while maximising throughput.
How We Apply It
Order Processing Pipeline
An e-commerce company processes high-volume orders via Step Functions — validating inventory, charging payments, updating Salesforce Commerce Cloud, and triggering fulfilment via warehouse APIs.
SageMaker fraud scoring evaluates orders in real-time within the Step Functions workflow before payment capture.
Real-Time Data Enrichment
A B2B company enriches new Salesforce leads in real-time using Lambda functions that call third-party data providers, score leads, and route them to the right sales rep within seconds.
Custom SageMaker model scores lead quality based on enriched firmographic data before routing to Einstein Lead Scoring for final prioritisation.
Document Generation at Scale
A financial services firm generates thousands of personalised PDF documents nightly using Lambda and S3, attaching them to Salesforce records for advisor distribution.
Einstein AI identifies which clients need proactive outreach based on portfolio changes, triggering automated document generation and advisor alerts.
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