For Indianapolis, Indiana teams, Cloud Architecture Design should protect the workloads, backups, monitoring, access controls, and migration steps that operations depend on every day.
Metrotechs helps Indianapolis, Indiana manufacturers and B2B operators make Cloud Architecture Design decisions with a practical plan for AWS reliability, backups, monitoring, security, and migration risk. We focus on cloud foundations that support Odoo, integrations, portals, reporting, and data workflows without disrupting finance, fulfillment, or operations.
The work is organized around records, handoffs, controls, and launch sequencing so the service plan can move from diagnosis into a governed implementation path.
These are the failure modes the page is built around: disconnected records, unclear ownership, fragile handoffs, and decisions made before the data is ready.
Lift-and-shift migrations that move on-premise performance problems to the cloud without solving them
Over-provisioned instances burning budget because nobody right-sized them for your actual workloads
No disaster recovery architecture \u2014 a cloud failure takes out your ERP the same way a server room flood would
Networking designed for web applications, not for manufacturing systems with real-time data requirements
Cloud Architectures Designed by Templates, Not by Requirements
In Indianapolis, companies tied to Automotive, Pharmaceuticals, Medical Devices, and Heavy Equipment often depend on dependable quoting, inventory, production, fulfillment, service, compliance, and reporting. The Cloud Architecture Design plan has to account for those operating pressures, supplier relationships, and customer commitments.
AI agents for Indianapolis-area automotive manufacturers and suppliers — production scheduling, parts routing, dealer channel automation, and quality inspection without manual handoffs.
Custom AI for Indianapolis pharmaceutical producers — cGMP compliance automation, batch record intelligence, serialization tracking, and demand forecasting for regulated manufacturing.
AI for Indianapolis medical device manufacturers — regulatory compliance automation, device tracking, supply chain intelligence, and validated system integrations.
AI systems for Indianapolis heavy equipment manufacturers — parts forecasting, dealer network management, field service routing, and engineer-to-order automation.
Confirm the workloads, migration waves, backup posture, monitoring gaps, access controls, and continuity risks that need to be handled first.
Plan the AWS roadmap