Multicloud AI & ERP

121 architectures, each comparing how AWS, Azure and Google Cloud handle the same problem.

  1. 10 architecturesAI-Ready Cloud Foundations & FinOpsThe decisions every cloud and AI estate rests on: global infrastructure and account structure, identity and access, compute, storage, serverless and Kubernetes, infrastructure as code, observability, Well-Architected reviews and FinOps. Get these right once and every cloud and AI team that follows inherits good habits instead of rework.
  2. 11 architecturesCloud Networking, Edge & Zero Trust for AIHow traffic reaches your cloud and AI applications and how they reach each other: network foundations and IP planning, DNS, load balancing, CDN and edge, network security, private and hybrid connectivity, global backbones, service mesh, network observability and zero-trust access that retires the VPN.
  3. 14 architecturesCloud Data, Analytics & BI for AIThe cloud data layer behind every ERP and AI system: relational, NoSQL, in-memory, graph, time-series and vector databases, warehouses and lakehouses, streaming and ETL, governance and lineage, then business intelligence, data clean rooms, log analytics and bulk data transfer to the cloud.
  4. 20 architecturesCloud AI: Machine Learning & Generative AICloud AI from classical machine learning to foundation models: algorithms, deep learning, transformers, embeddings, recommenders and forecasting, responsible ML, ML platforms and AutoML, model catalogs, prompting, fine-tuning, retrieval-augmented generation, document and voice AI, AI guardrails and LLM evaluation on AWS, Azure and Google Cloud.
  5. 14 architecturesAgentic AI & Cloud AI InfrastructureAI that takes actions, and the cloud AI infrastructure that runs it: agent platforms, MCP and agent-to-agent protocols, multi-agent orchestration, agent identity and governance, computer-use and coding agents, low-code builders, AI accelerators, inference hosting, large-scale training, cluster networking, MLOps, monitoring and FinOps for AI.
  6. 19 architecturesCloud AI Applications & Industry AI SolutionsPutting cloud AI to work in real products and industries: production AI applications, serverless and Kubernetes AI, streaming AI, AI inside databases, enterprise search and edge AI, private enterprise assistants, customer support AI, real-time decisions, healthcare, financial services, retail and manufacturing AI, plus language, conversational and operations AI.
  7. 12 architecturesCloud & AI Security, Governance & ComplianceProtecting cloud data, identities and AI systems end to end: identity for AI, encryption and secrets, prompt injection defense, privacy and residency, landing zones and policy, backup and disaster recovery, cloud-native security tools, AI-assisted SIEM and SOAR, threat detection, data loss prevention, certificates and confidential computing.
  8. 21 architecturesCloud Migration, Integration & AI OperationsMoving and running cloud and AI systems at scale: hybrid cloud, migration, portability and cloud selection, skills and what's new across the three providers, API management, messaging and workflow automation, app hosting, patching, chaos testing, SLAs, sustainability, batch and HPC, VMware and mainframe modernization, quantum, media and sovereign clouds.

Need one of these on your cloud?

NTS designs, migrates and runs these architectures on AWS, Azure and Google Cloud. Most engagements start with a 30-minute architecture review.

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