AWS Services

AWS Cloud Solutions

AQBEE delivers complete AWS cloud development services — not just integration. From designing cloud-native architectures on EC2, Lambda, and ECS to building data lakes on S3 and Redshift, deploying AI/ML models on SageMaker, and creating serverless microservices, we handle the full lifecycle. Our AWS-certified architects build secure, scalable, cost-optimised solutions that work seamlessly with your Salesforce ecosystem.

Capabilities

What We Deliver

Salesforce-AWS Connector

Implement the Salesforce-AWS connector for real-time data exchange using Amazon EventBridge, enabling event-driven architectures between CRM and cloud workloads.

AI/ML Model Integration

Train custom ML models on Amazon SageMaker and deploy predictions into Salesforce workflows via Einstein AI or custom APIs for advanced use cases beyond native Einstein capabilities.

Data Lake & Analytics

Replicate Salesforce data to Amazon S3, Redshift, or Athena for advanced analytics, data science, and business intelligence workloads that complement Tableau and CRM Analytics.

Serverless Application Development

Build serverless microservices on AWS Lambda and API Gateway that extend Salesforce functionality — document processing, media conversion, and high-volume data processing.

Infrastructure & Security

Design VPC architectures, IAM policies, encryption, and compliance controls for Salesforce-AWS integrations that meet enterprise security and regulatory requirements.

Real-World Applications

How We Apply It

AI-Powered Document Processing Pipeline

An insurance company builds a document processing pipeline using Amazon Textract for OCR, SageMaker for classification, and routes extracted data into Service Cloud cases via MuleSoft — reducing manual processing by 80%.

Key Highlight

Amazon Textract extracts text from claim documents, SageMaker custom models classify document types, and Einstein AI in Service Cloud auto-triages claims based on extracted data.

IoT Data Platform for Manufacturing

A manufacturer streams IoT sensor data through AWS IoT Core and Kinesis to Data Cloud, enabling real-time equipment monitoring dashboards and predictive maintenance workflows in Service Cloud.

Key Highlight

Amazon SageMaker anomaly detection models identify equipment degradation patterns, triggering automated work orders in Salesforce Field Service.

High-Volume Data Processing for Financial Services

A bank processes millions of daily transactions through AWS Lambda and Step Functions, enriching records with fraud scores before loading into Financial Services Cloud for advisor visibility.

Key Highlight

Amazon SageMaker real-time fraud detection models score transactions, with high-risk alerts routed directly to Service Cloud for investigation.

Case Studies

AWS Cloud Solutions Success Stories

See how we've delivered measurable results with AWS Cloud Solutions.

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

Unified Integration Hub: Zendesk, Marketo, Mailchimp & Twilio with Salesforce

BrightLoop Commerce

BrightLoop, a fast-growing e-commerce platform with 200,000+ customers, was running Zendesk for support, Marketo for demand generation, Mailchimp for transactional emails, and Twilio for SMS notifications — none of which talked to each other or to Salesforce. Customer support agents could not see marketing engagement history, marketing had no visibility into support issues, and SMS campaigns were manually triggered from spreadsheets. A customer who just filed a complaint might receive a promotional email an hour later, creating a terrible experience. The company had attempted two integration projects with freelancers that both failed, leaving behind orphaned middleware and sync conflicts.

MuleSoft AnypointZendeskMarketoMailchimp

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