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Iotellect on Amazon Web Services

AWS provides a powerful and mature cloud foundation. Iotellect builds on top of it to drastically reduce the time, cost, and risk of creating real-world IoT applications.

This article explains how Iotellect runs on AWS, what value it adds, and how it integrates with AWS services – without turning AWS into a lock-in.

How Iotellect is Deployed on AWS

Iotellect is cloud-agnostic by design and runs natively on AWS using standard, well-understood services:

  • Compute: EC2, ECS, or EKS — depending on scale and operational preferences
  • Storage: Amazon RDS / Aurora for structured data, Amazon S3 for files and artifacts
  • Networking: VPC, Load Balancers, private subnets, security groups
  • Scaling: Horizontal scaling at application and infrastructure levels

Deployment can be single-tenant or multi-tenant, SaaS or customer-dedicated, and fits cleanly into existing AWS accounts and CI/CD pipelines.

What Iotellect Adds on Top of AWS

AWS gives you infrastructure and primitives. Iotellect gives you a finished IoT application layer.

With Iotellect, you don’t need to custom-build device and asset data models, data processing logic, dashboards & UIs, role-based access, alarms, workflows, and multi-tenant SaaS foundation.

The result: months of engineering work replaced by configuration and extension, while keeping full control over architecture and data.

Integrating AWS Services with Iotellect

Iotellect doesn’t compete with AWS services – it consumes them where they make sense.

Typical patterns include:

  • AWS IoT Core for device connectivity, with data mapped into Iotellect’s unified model
  • Amazon S3 for files, reports, media, and archives
  • AWS Lambda / EventBridge for event-driven extensions and custom logic
  • Analytics services (Athena, Redshift, Timestream) for heavy analytical workloads

Operational logic stays in Iotellect. Cloud-native services stay cloud-native.

Security and Operations

Iotellect aligns with AWS best practices:

  • Network isolation via VPC and private subnets
  • IAM-based access control
  • Centralized logging and auditability
  • Backup, recovery, and disaster-resilience patterns

This makes it suitable for enterprise, industrial, and regulated environments.

Takeaways

AWS is excellent at being a cloud platform. Iotellect is focused on being an IoT application platform.

Together, they let you:

  • Launch faster
  • Spend less on custom development
  • Avoid rewriting your product every few years
  • Keep freedom to evolve beyond a single cloud

AWS is the foundation. Iotellect is the accelerator.

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