An IoT platform engineered for the fleet you’ll have, not the pilot you have.
Secure, observable and cost-governed IoT platforms on AWS, Azure, Google Cloud or open-source stacks — built as infrastructure as code, deployed across environments and designed for fleet scale from day one.
Built for the people accountable for the outcome.
Cloud IoT Platform Engineering is part of PEXIVA’s Connected Operations & IoT practice, which combines all six PEXIVA core capabilities.
Intended buyers
- CTO and VP Engineering
- Cloud and platform engineering leads
- Connected-product engineering teams
- Enterprise architects
What this solves.
A pilot platform that cannot scale
Hand-configured resources, one environment and no automation turn every new site into a project.
Cost that grows faster than the fleet
Message volumes, retention and over-provisioned services are not modeled or governed.
Fleets nobody can see
There is no reliable view of which devices are online, on which version and behaving normally.
Stranded on a retired service
Platforms built on discontinued or unsupported IoT services need a planned migration.
Cloud IoT Platform Engineering — what’s included.
- PEXIVA-deliveredPEXIVA practitioners own and perform the work.
- PEXIVA-ledPEXIVA owns architecture, governance and delivery, with specialist contributors.
- Partner-enabledA qualified specialist delivers a defined work package under PEXIVA program governance.
Secure device connectivity
Certificate-based authentication, mutual TLS and per-device policies.
Device registry and fleet management
Device metadata, grouping, state and version tracking.
Telemetry ingestion
Scalable ingestion with validation, routing and dead-letter handling.
Command and control
Safe, audited commands and configuration to devices, with acknowledgement.
Event-driven processing
Rules and serverless or streaming processing for alerts and automation.
API and integration services
Stable APIs and events that applications and enterprise systems consume.
Multi-environment deployment
Development, test and production environments built as code with CI/CD.
Scalability, resilience and cost governance
Load testing, failure modes and FinOps controls such as tagging, budgets and retention tiers.
AWS, Azure, Google Cloud and open-source patterns
Managed IoT services or open-source brokers and stacks where they fit better.
What you receive.
- Platform architecture and decision record
- Infrastructure-as-code repositories
- CI/CD pipelines
- Device provisioning and fleet tooling
- Platform observability dashboards
- Load and failover test results
- Cost model and FinOps guardrails
- Runbooks and handover documentation
Platform engineering approach
Foundation
Accounts or subscriptions, networking, identity and guardrails.
Core services
Connectivity, registry, ingestion and routing as code.
Harden
Security controls, load testing, failover and cost limits.
Operate
Observability, runbooks and handover — or managed operations.
Where this is typically applied.
Illustrative use cases — not descriptions of specific client deployments.
Greenfield IoT platform
A production-grade foundation for a first connected-operations program.
Pilot-to-production rebuild
Re-platforming a hand-built pilot into automated, multi-environment infrastructure.
Platform migration
Moving off a retired or unsupported IoT service with a phased device cutover.
Connected-product backend
Fleet management and telemetry services for a product sold to customers.
Designed in, not bolted on.
- Per-device credentials and least-privilege policies.
- Separation of environments and of operator and device access paths.
- Encryption in transit and at rest with managed keys.
- Audit logging for commands and configuration changes.
Engagement models
Common ways to start or continue this work:
- Production Implementation
- Platform Modernization
- Managed IoT Operations
Cloud IoT Platform Engineering — frequently asked questions
AWS, Azure or Google Cloud — which is best for IoT?
Can you migrate us off a retired IoT service?
How do you control IoT cloud costs?
Do we own the platform code?
Build the platform once, then scale it.
Book an IoT Opportunity Assessment to size the platform, compare cloud options and model cost at fleet scale.