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AWS APN Services

Pipeline for Data Engineering & Machine Learning

Modern AI systems are only as powerful as the data pipelines behind them. We build cloud-native AWS data engineering and machine learning pipelines that continuously collect, process, transform, train, and operationalize data at scale — enabling faster analytics, intelligent automation, and production-ready AI systems

AWS Services:
Amazon S3
AWS Glue
Amazon EMR
Amazon Kinesis
Amazon SageMaker
AWS Lambda
Amazon Redshift
Amazon Step Functions
Features:
  • End-to-End Data Automation: Automate ingestion, transformation, validation, and delivery of large-scale data workflows
  • Production-Ready MLOps Pipelines: Streamline model training, deployment, monitoring, and retraining processes
  • Real-Time Data Processing: Enable instant analytics and AI decision-making with streaming data architectures
  • Scalable AI Infrastructure: Build resilient cloud-native environments optimized for machine learning operations

Quantum Application Hosting on AWS

Quantum computing is moving from theoretical research into practical experimentation and enterprise innovation. We help organizations leverage AWS quantum infrastructure to host, test, simulate, and scale quantum workloads while preparing for the next generation of computational advancement.

AWS Services:
Amazon Braket
Amazon EC2
AWS Lambda
Amazon S3
Amazon CloudWatch
AWS IAM
Features:
  • Hybrid Quantum-Classical Architecture: Combine traditional cloud computing with quantum experimentation environments 
  • Scalable Research Infrastructure: Rapidly provision quantum simulation and testing environments on demand
  • Secure Computational Workflows: Enterprise-grade security, access control, and workload isolation
  • Future-Ready Innovation Platform: Enable advanced research, optimization modeling, and quantum experimentation at scale

Migrating Application Architecture to AWS

Modern cloud migration is not simply about moving applications – it is about redesigning systems for agility, resilience, scalability, and future growth. We help businesses modernize legacy architectures into cloud-native AWS environments engineered for long-term operational performance.

AWS Services:
AWS Migration Hub
AWS Application Migration Service
Amazon ECS & EKS
AWS Elastic Beanstalk
Amazon RDS
AWS CloudFormation
Features:
  • Legacy Application Modernization: Transform monolithic systems into scalable cloud-native architectures
  • Minimal Downtime Migration: Execute phased migrations with reduced operational disruption
  • Microservices & Container Adoption: Improve scalability and deployment agility with modern application patterns
  • Automated Infrastructure Provisioning: Accelerate deployment consistency through infrastructure-as-code practices

Automated Pipeline for Document Processing

Organizations manage enormous volumes of unstructured documents — invoices, contracts, forms, medical records, compliance files, and operational paperwork. We build intelligent AWS-powered document processing pipelines that automatically extract, classify, validate, and process information with speed and accuracy.

AWS Services:
Amazon Textract
Amazon Comprehend
AWS Lambda
Amazon S3
Amazon SNS
AWS Step Functions
Features:
  • Intelligent Data Extraction: Automatically capture structured information from complex documents
  • Automated Workflow Orchestration: Reduce manual intervention with event-driven document pipelines
  • AI-Based Document Classification: Organize and categorize large document repositories intelligently
  • Secure & Compliant Processing: Enterprise-grade security and traceability for sensitive document operations

Migration to Cloud (AWS + GCP)

Cloud transformation requires more than infrastructure migration – it requires strategic planning, operational redesign, and long-term scalability thinking. We help organizations migrate workloads to AWS and Google Cloud environments with secure architectures, optimized performance, and future-ready cloud operations.

Services:
AWS Migration Hub
Google Cloud Migrate for Compute Engine
Amazon EC2 & Google Compute Engine
Amazon RDS & Cloud SQL
AWS CloudFormation & Google Deployment Manager
Amazon CloudWatch & Google Cloud Operations Suite
Features:
  • Multi-Cloud Migration Strategy: Build flexible cloud ecosystems across AWS and GCP environments
  • Infrastructure & Database Modernization: Upgrade legacy workloads into scalable cloud-native systems
  • High Availability & Scalability: Architect resilient environments designed for operational continuity
  • Cloud Cost & Performance Optimization: Improve efficiency through right-sized infrastructure and automation

Disaster Recovery on AWS

Business continuity depends on how quickly systems recover when disruption occurs. We design AWS disaster recovery environments that protect critical workloads, minimize downtime, and ensure operational resilience through automated failover, backup, and recovery strategies.

AWS Services:
AWS Elastic Disaster Recovery
Amazon S3 Glacier
Amazon Route 53
Amazon CloudWatch
AWS Backup
Amazon EC2 Auto Scaling
Features:
  • Rapid Recovery & Failover: Minimize downtime with automated disaster recovery workflows
  • Continuous Backup Protection: Securely replicate and preserve mission-critical workloads and data
  • Business Continuity Planning: Ensure operational resilience during outages and infrastructure failures
  • Highly Resilient Cloud Architecture:  Build fault-tolerant environments designed for long-term reliability

Why Partner with Arocom for AI & Data Science?

At Arocom Solutions, we deliver scalable, secure, and cost-efficient AWS cloud solutions tailored to business needs. Our team combines expertise in cloud migration, DevOps, automation, data engineering, and AI-driven technologies to help organizations accelerate digital transformation. With a focus on performance, reliability, and long-term support, we enable businesses to build future-ready cloud ecosystems on AWS.