Accelerating cloud modernization on AWS.
Polytechnic Consulting Group, in partnership with Ingram Micro, delivers proven AWS cloud expertise to help customers modernize operations, strengthen security, reduce risk, and improve resiliency. Through our comprehensive AWS service portfolio which spans cloud migration and modernization, security/identity/compliance hardening, cloud architecture and governance, AI/ML enablement, and managed AWS CloudOps, we help ensure customer environments remain secure, optimized, and continuously supported as organizations scale and evolve.
AWS Capabilities
Through our AWS partnership, we deliver measurable results by migrating, securing, and optimizing AWS environments to support business-critical and mission-ready operations.
Assess current-state applications and infrastructure to define a modernization strategy (rehost, replatform, refactor, retire).
Design and implement secure AWS landing zones aligned to AWS Well-Architected best practices.
Modernize legacy workloads into cloud-native architectures to improve scalability, resiliency, and agility.
Migrate and optimize applications using AWS services (EC2, RDS/Aurora, S3, Lambda, ECS/EKS).
Implement containerization and Kubernetes modernization using Amazon ECS/EKS to improve portability and deployment speed.
Enable serverless modernization with AWS Lambda and event-driven architectures to reduce operational overhead.
Modernize databases through managed database adoption (RDS, Aurora) and data platform optimization.
Improve application performance and resilience using Auto Scaling, Load Balancing, multi-AZ, and disaster recovery design.
Implement Infrastructure as Code (IaC) automation (Terraform/CloudFormation) and CI/CD pipelines for DevSecOps.
Apply security modernization including IAM least privilege, encryption (KMS), and continuous monitoring (CloudTrail, Config, Security Hub, GuardDuty).
Conduct cost optimization (FinOps) reviews and implement right-sizing and reservation strategies.
Deliver post-modernization validation, documentation, and knowledge transfer to support ongoing CloudOps operations.
AWS Cloud Modernization
AWS Security
Design and implement Zero Trust Architecture (ZTA) aligned to NIST SP 800-207, enforcing identity-first access across users, devices, and workloads.
Deploy secure AWS Landing Zones with AWS Control Tower / AWS Organizations, leveraging guardrails, account separation, and least-privilege boundaries.
Implement enterprise IAM governance using AWS IAM, IAM Identity Center (SSO), role-based access control (RBAC), attribute-based access control (ABAC), and strict privilege delegation.
Enforce least privilege and continuous access validation using IAM policies, permission boundaries, SCPs, and session controls.
Enable and integrate MFA + strong authentication mechanisms across privileged and non-privileged accounts (including break-glass controls).
Implement data protection and encryption strategies using AWS KMS, CloudHSM (as required), encryption at rest/in transit, and key lifecycle governance.
Architect secure network segmentation using Amazon VPC, security groups, NACLs, Transit Gateway, and controlled ingress/egress for high-impact systems.
Deploy threat detection and continuous monitoring using GuardDuty, Security Hub, CloudTrail, AWS Config, Inspector, and centralized logging.
Establish security logging pipelines to support SOC/SIEM integration and incident visibility (e.g., consolidated CloudTrail, VPC Flow Logs, ELB logs).
Implement continuous compliance capabilities aligned to RMF / NIST 800-53, including automated configuration monitoring, drift detection, and evidence-ready reporting.
Perform security assessments and hardening mapped to federal controls, including remediation roadmaps and POA&M support.
Configure WAF and DDoS protection using AWS WAF + AWS Shield, including baseline rulesets and mission-availability protections.
Develop and test incident response playbooks for federal cloud workloads, including containment actions, forensics readiness, and escalation procedures.
Support Authority to Operate (ATO) readiness activities through documentation support, control implementation validation, and audit preparation.
AWS AI/ML
Managed Cloud Ops/Security
Provide 24x7 monitoring and operational support for AWS workloads to maintain performance, availability, and mission continuity.
Manage day-to-day AWS operations including incident response, service request handling, change management, and problem resolution.
Perform continuous infrastructure health monitoring using CloudWatch metrics/alarms, logging, and automated notifications.
Deliver proactive capacity planning and performance optimization (Auto Scaling tuning, load balancing, right-sizing).
Implement patch management and vulnerability remediation support for EC2 and supported services using AWS Systems Manager.
Manage backup, recovery, and disaster recovery readiness, including recurring validation testing and restoration procedures.
Provide AWS security operations support including alert triage, threat detection, and response actions using GuardDuty, Security Hub, Inspector, and Config.
Conduct ongoing IAM governance (least privilege reviews, access recertifications, privileged access controls, MFA enforcement).
Enable and maintain centralized security logging (CloudTrail, VPC Flow Logs, ELB logs) and integration with SIEM/SOC workflows.
Perform continuous compliance monitoring and drift detection with automated reporting aligned to internal policy and regulatory requirements.
Provide cost management (FinOps) activities including budget alerts, cost anomaly detection, and monthly optimization recommendations.
Deliver monthly/quarterly operational reports (ticket metrics, security findings, uptime metrics, cost trends, and improvement roadmap).
Maintain Infrastructure as Code (IaC) and automation workflows to improve reliability, speed of change, and consistency.
Provide secure configuration management and baseline enforcement aligned to AWS Well-Architected Framework and security best practices.
Deliver AI/ML strategy and use-case discovery to identify high-value opportunities and define a clear implementation roadmap.
Design secure, scalable AI architectures on AWS using Amazon SageMaker and Amazon Bedrock.
Build and deploy Generative AI solutions (chatbots, virtual assistants, summarization, knowledge search) using Amazon Bedrock.
Implement Retrieval-Augmented Generation (RAG) solutions to securely connect LLMs to enterprise knowledge bases and data sources.
Develop, train, and optimize machine learning models using SageMaker (training jobs, feature engineering, hyperparameter tuning).
Enable MLOps pipelines for CI/CD automation, model versioning, approvals, and repeatable deployments.
Implement AI security controls including least privilege IAM, data encryption (KMS), audit logging, and guardrails for safe usage.
Integrate AI solutions with business systems and workflows using API Gateway, Lambda, Step Functions, EventBridge, and data services.
Deploy model monitoring for reliability and performance (drift detection, model quality, usage tracking).
Build AI-ready data foundations using AWS data services (S3 data lakes, ETL pipelines, governance controls).
Provide AI/ML optimization for performance and cost (right-sizing, endpoint tuning, workload scaling).
Deliver documentation, training, and knowledge transfer to operationalize AI capabilities securely.
AWS Solution Focus Areas
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Migration & Transfer
AWS Migration & Transfer services help organizations securely move applications, data, and infrastructure from on-premises or legacy environments into AWS with minimal disruption.
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Security, Identity, & Compliance
AWS Security, Identity, & Compliance provides the capabilities organizations need to protect cloud environments, manage access securely, and maintain compliance with regulatory and industry requirements.
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Management & Governance
AWS Management & Governance provides the tools and operational controls needed to manage cloud environments at scale while maintaining performance, security, and cost efficiency.
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Networking & Content Delivery
AWS Networking & Content Delivery provides the cloud networking services organizations need to securely connect users, applications, and data across AWS, on-prem environments, and the internet.
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Machine Learning
AWS Machine Learning provides a comprehensive set of cloud services and tools that help organizations build, train, deploy, and scale machine learning solutions securely and efficiently.
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Compute
AWS Compute provides scalable, secure, and on-demand cloud computing services that enable organizations to run applications, process data, and support critical workloads without the limitations of traditional infrastructure.
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End User Computing
AWS End User Computing (EUC) enables organizations to securely deliver virtual desktops and applications to users anywhere, on any device.
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Application Integration
AWS Application Integration provides cloud services that help organizations connect applications, systems, and data across hybrid and cloud-native environments.
An AWS partnership built for secure, compliant, mission-ready cloud environments.
Polytechnic Consulting Group leverages our AWS partnership and certified cloud and cybersecurity professionals to design, secure, and operate mission-ready cloud environments. We deliver specialized AWS services including cloud migration and modernization, AWS security/identity/compliance hardening, Zero Trust architecture implementation, secure networking and governance, SOC/SIEM integration, and managed AWS CloudOps and security operations. Our AWS expertise enables customers to strengthen cyber resilience, standardize security controls, and maintain continuous protection across hybrid, cloud-native, and remote operational environments.
Certifications
