Cloud & infrastructure
AWS · Microsoft Azure · Google Cloud · Cloudflare
Workload fit, regional availability, recovery needs and the total operating cost.
Technology with a purpose
There is no single stack for every business. We evaluate cloud platforms, AI models and software tools against what your people need to achieve—and what your team can maintain.
An open technology approach
These are technologies we can evaluate for a scoped engagement. Specific expertise, integrations and vendor requirements are confirmed before delivery.
AWS · Microsoft Azure · Google Cloud · Cloudflare
Workload fit, regional availability, recovery needs and the total operating cost.
Anthropic Claude · OpenAI · Google Gemini · open-weight models · LangGraph · MCP
Evaluate quality on representative tasks; compare latency, tool permissions, processing terms and inference cost.
PostgreSQL · BigQuery · Snowflake · dbt · Apache Airflow · Power BI
Choose around source compatibility, freshness, metric governance, access and the skills of the operating team.
AURTIV · Zoho · Salesforce · Dynamics 365 · HubSpot
Compare process fit, API limits, migration effort, licences and long-term ownership.
TypeScript · Python · Java · .NET · React · Terraform · GitHub Actions
Prefer maintainable architecture, repeatable environments, useful tests and clear release ownership.
n8n · Power Automate · Make · Zapier · OpenTelemetry · Grafana
Account for execution limits, credentials, error recovery, observability and support responsibilities.
Vendor names describe technology options, not partner status, certifications or included subscriptions. Platform capabilities and availability are checked during project scoping.
Cloud selection guide
The right choice depends on your existing investment, data-location needs, operating model and application architecture.
| Platform | Useful to evaluate when | Decisions to resolve |
|---|---|---|
| AWS | Your workloads need a broad set of managed compute, storage, data and AI services. | Account boundaries, service choices, regional availability, network costs and operational ownership. |
| Microsoft Azure | Microsoft identity and business tooling are central to your environment. | Identity integration, tenant configuration, data residency and licence dependencies. |
| Google Cloud | Your architecture centres on analytics, data pipelines or machine-learning workflows. | Data movement, project permissions, capacity and model or dataset location. |
| Cloudflare | You want to evaluate edge delivery and serverless web applications. | Runtime limits, storage semantics, background processing and integration constraints. |
Reference architecture
A conceptual architecture for a custom application with optional AI. We choose only the layers the use case needs.
Document what leaves each system, who receives it and which permissions apply. Agree retention and deletion requirements before enabling new integrations.
Use task-based evaluations and versioned interfaces. Compare a model change on quality, cost and behaviour before rollout.
Plan exports, documented data models and operational handover. Record where a managed service creates a dependency and why that tradeoff is worthwhile.
Our existing product foundation
The current platform uses Cloudflare Workers for application APIs, D1 for structured records and R2 for supported private file workflows. Product permissions and company scope are applied by the application.
Choosing a technology for a services engagement does not make it a built-in integration in every AURTIV product. Review the relevant product page and confirm your required workflow during discovery.
Explore the product portfolioThe next move is yours