Cloud Computing Services
Engineering Secure and Scalable Cloud Platforms

IAST Software Solutions engineers secure, scalable, and cloud-native platforms for enterprise and automotive applications. We combine cloud architecture, application engineering, cybersecurity, data platforms, and AI/ML to build production-ready solutions for connected and software-defined systems.

From cloud architecture and infrastructure engineering to connected vehicle platforms, IAST helps organizations design, build, integrate, and operate modern cloud solutions.

Cloud Architecture Cloud Application Engineering Infrastructure & DevOps Cloud Security Data Engineering AI & ML Deployment Automotive Cloud · SDV & SOVD
Cloud Computing Services
Cloud Engineering Capabilities

Our cloud engineering capabilities cover the complete lifecycle from architecture and implementation to integration, security, deployment, and optimization.

01 — CLOUD ARCHITECTURE & ENGINEERING

Cloud Architecture & Engineering

Design scalable and highly available cloud architectures aligned with application, business, performance, and security requirements.

  • Cloud architecture and solution design
  • High availability and fault tolerance
  • Scalability and reliability engineering
  • Cost-aware architecture optimization
  • Technology foundation: AWS, VPC, EC2, Lambda
02 — CLOUD APPLICATION ENGINEERING

Cloud Application Engineering

Build cloud-native applications and backend services designed for scalability, reliability, and seamless integration.

  • Cloud-native application development
  • Microservices and distributed backends
  • Serverless applications and event processing
  • Backend engineering and API services
  • Application modernization and refactoring
  • Technology foundation: EC2, Lambda, API Gateway
03 — CLOUD INFRASTRUCTURE & DEVOPS

Cloud Infrastructure & DevOps

Engineer automated infrastructure and deployment pipelines that improve consistency, reliability, and operational efficiency.

  • Infrastructure as Code (IaC)
  • Continuous Integration & Continuous Delivery (CI/CD)
  • Automated deployment workflows
  • Environment provisioning and management
  • Monitoring and operational automation
  • Technology foundation: CloudFormation, EC2, CloudWatch
04 — CLOUD SECURITY ENGINEERING

Cloud Security Engineering

Integrate cybersecurity into cloud architecture from the beginning rather than treating security as an afterthought.

  • Identity and access management (IAM)
  • Authentication and authorization controls
  • Network security and perimeter protection
  • Threat detection and continuous monitoring
  • Data encryption in transit and at rest
  • Technology foundation: Cognito, IAM, WAF, GuardDuty, KMS, Security Hub
05 — CLOUD DATA ENGINEERING

Cloud Data Engineering

Build scalable data platforms for collecting, processing, storing, and analyzing enterprise and automotive data.

  • Scalable data ingestion pipelines
  • Cloud data storage and database management
  • Batch and real-time data processing
  • Enterprise and automotive analytics platforms
  • Data lifecycle management and governance
  • Technology foundation: S3, DynamoDB, RDS, Aurora
06 — AI & ML CLOUD ENGINEERING

AI & ML Cloud Engineering

Deploy AI and machine learning solutions into production cloud environments.

  • Production ML model deployment
  • End-to-end ML pipelines and MLOps
  • Model monitoring and performance tracking
  • Scalable inference infrastructure
  • AI-enabled application integration
  • Technology foundation: Amazon SageMaker, CloudFormation
07 — API & SYSTEM INTEGRATION

API & System Integration

Connect cloud applications, enterprise systems, vehicle platforms, and backend services through secure and scalable APIs.

  • API architecture and management
  • REST APIs and endpoint engineering
  • Backend service integration
  • Event-driven architectures
  • Enterprise and automotive backend integration
  • Technology foundation: API Gateway, Lambda, event-driven AWS services
Cloud Engineering for Software-Defined Mobility

Cloud platforms are becoming a critical part of modern vehicle architectures. IAST engineers design cloud solutions that connect vehicles, backend systems, data platforms, diagnostics, and software lifecycle services.

01 — ACCIDENT DETECTION

Cloud-Based Accident Detection

Design cloud platforms that process vehicle telemetry and event data to support real-time accident detection, notification, and incident analysis.

  • Vehicle telemetry data ingestion
  • Real-time event processing and crash detection
  • Automated emergency notifications
  • Incident analytics and post-event reporting
  • Scalable data ingestion pipelines
02 — SOFTWARE DEFINED VEHICLE

Software Defined Vehicle (SDV)

Build cloud-connected platforms that support the software lifecycle of modern vehicles and enable continuous digital services.

  • Connected vehicle platforms
  • High-throughput vehicle telemetry
  • Over-The-Air (OTA) update capabilities
  • Fleet analytics and vehicle health tracking
  • Remote configuration and feature management
  • Digital vehicle services and software lifecycle management
03 — SERVICE-ORIENTED VEHICLE DIAGNOSTICS

Service-Oriented Vehicle Diagnostics (SOVD)

Engineer cloud-connected diagnostic platforms that enable remote diagnostics, vehicle service workflows, ECU software management, and vehicle lifecycle monitoring.

  • Remote diagnostics and service workflows
  • ECU software and firmware management
  • Diagnostic data ingestion and fault analysis
  • Backend integration with OEM service platforms
  • Vehicle lifecycle monitoring
  • Secure cloud communication

Automotive Cloud Engineering Domain Expertise

Our deep understanding of connected vehicles, SDV, SOVD, vehicle telemetry, diagnostics, and automotive software enables IAST engineers to build cloud solutions tailored specifically to demanding automotive workloads.

From Architecture to Production

IAST follows a structured engineering approach to transform requirements into secure and production-ready cloud platforms.

1

Understand

Analyze business, system, application, performance, security, and integration requirements.

2

Architect

Define cloud architecture, infrastructure, data flows, interfaces, security controls, and deployment strategy.

3

Engineer

Develop cloud applications, infrastructure, APIs, data pipelines, and integrations.

4

Validate

Perform functional, performance, security, reliability, and integration validation.

5

Deploy & Optimize

Deploy to production and continuously improve reliability, scalability, performance, and operational efficiency.

Why Choose IAST for Cloud Engineering?

Four core engineering strengths that make IAST the right partner for your cloud initiatives.

1

Scalable Cloud Architecture

Architecting cloud-native microservices, serverless event processing, and distributed systems designed for elastic scale, high availability, and fault tolerance.

2

Security by Design

Security integrated across identity (OAuth2/OIDC, Cognito, IAM), networking (WAF, VPC), KMS data encryption, threat detection (GuardDuty), and audit logging.

3

Cloud Infrastructure & DevOps

Automating infrastructure provisioning with Infrastructure as Code (IaC), CI/CD pipelines, CloudWatch monitoring, and zero-downtime deployment workflows.

4

End-to-End Engineering Ownership

From cloud migration and microservices architecture to continuous data pipeline engineering, SageMaker MLOps, and SLA-backed maintenance.

Technology Foundation

We leverage proven cloud technologies to implement the right architecture for each customer and application.

Cloud Platform

AWS

Compute

EC2 · Lambda

Data

S3 · DynamoDB · RDS · Aurora

Security

Cognito · IAM · WAF · GuardDuty · KMS

Integration

API Gateway

AI/ML

SageMaker

Infrastructure Automation

CloudFormation

Build Your Next Cloud Platform with IAST

Whether you are modernizing enterprise applications, building connected vehicle platforms, or developing SDV and SOVD solutions, IAST engineers can help transform your requirements into secure and scalable cloud solutions.