AWS Services

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.

Capabilities

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.

Real-World Applications

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.

Key Highlight

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.

Key Highlight

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.

Key Highlight

Einstein AI identifies which clients need proactive outreach based on portfolio changes, triggering automated document generation and advisor alerts.

Case Studies

AWS Serverless & Microservices Success Stories

See how we've delivered measurable results with AWS Serverless & Microservices.

Serverless Data Pipeline & Real-Time Analytics on AWS

8 hours → 30 seconds

Data Latency

Technology

Serverless Data Pipeline & Real-Time Analytics on AWS

Velocity Analytics Inc.

Velocity, a B2B analytics platform processing 500M+ events daily, was running a fragile on-premise ETL pipeline that took 8 hours to produce daily reports. Data latency meant customers were making decisions on stale information. Infrastructure costs were escalating with every new client onboarding, and the engineering team spent 40% of their time on pipeline maintenance rather than product development. The company needed a scalable, real-time data architecture that could grow with their client base while integrating processed insights back into Salesforce for their customer success team.

AWS LambdaAmazon KinesisAmazon RedshiftAmazon S3

Migrating a Legacy E-Commerce Platform to AWS Microservices

ShopStream Digital

ShopStream's monolithic e-commerce platform was buckling under peak-season traffic, suffering frequent outages during flash sales and Black Friday events. The single Java application running on co-located servers could not scale horizontally, and deployments required full system downtime — resulting in an estimated $2.4M in lost revenue per year from availability issues alone.

AWS LambdaAPI GatewayDynamoDBCloudFront

Headless Commerce Platform with Next.js and Salesforce Commerce Cloud

Maison Laurent

Maison Laurent's legacy e-commerce site was built on a monolithic platform with 6+ second load times, a 71% mobile bounce rate, and zero personalisation capabilities. The brand's luxury positioning demanded a best-in-class digital experience, but the existing platform could not deliver the speed, design flexibility, or AI-driven recommendations needed to compete with digital-first luxury brands. International expansion to 12 new markets was stalled by the platform's inability to handle multi-currency, multi-language, and regional tax requirements.

Next.jsVercelSalesforce Commerce Cloud B2CEinstein AI

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