Insights · 03 · Cloud
When to use AWS, Azure, and GCP — and how to scale without multiplying complexity, cost, and operational risk.
June 2026 · 10 min read
IHTRAD Technologies designs cloud and API integration for SaaS teams — see also enterprise GenAI strategy for 2026.
For SaaS startups, cloud is more than a place to run apps. It shapes reliability, shipping speed, security, scale, and operating cost.
AWS, Azure, and GCP all provide strong infrastructure. Using more than one does not automatically make a platform more resilient.
A real strategy needs a reason for each cloud, clear architecture boundaries, observability, and cost discipline.
It means running workloads across two or more providers. AWS might hold the core app. GCP might supply AI or data. Azure might serve enterprise or Microsoft-centric work.
Design around business requirements — not the desire to use every provider.
For many early-stage teams the answer is not yet. Multiple clouds mean multiple IAM systems, networks, monitors, bills, pipelines, security models, and skill sets. That can slow a small team.
Foundational services look similar. The right choice follows workload, team skill, customers, and ecosystem. There is no universally best cloud.
| Capability | AWS | Azure | GCP |
|---|---|---|---|
| Compute | EC2 | Virtual Machines | Compute Engine |
| Containers | ECS / EKS | AKS | GKE |
| Serverless | Lambda | Functions | Cloud Run / Functions |
| Object storage | S3 | Blob Storage | Cloud Storage |
| Managed SQL | RDS | Azure SQL | Cloud SQL |
| Kubernetes | EKS | AKS | GKE |
| AI / ML | Bedrock / SageMaker | Azure AI | Vertex AI |
| Analytics | Redshift | Synapse | BigQuery |
For most SaaS startups the durable pattern is one primary cloud + selective secondary services.
That keeps operations stable while specialized capability is added only when it earns its keep.
If portability matters, separate business logic from orchestration from cloud-specific compute, network, and storage. Containers, Kubernetes, Terraform, and standard APIs help — but full neutrality has a cost and can throw away managed-service value.
Do not click multi-cloud together in consoles. Define it in Git so environments are repeatable, reviewable, and recoverable.
You get version control, automated deploys, easier DR, and less configuration drift. Terraform and similar tools keep providers consistent.
Multi-cloud should not mean three unrelated release processes.
Providers differ on VPCs, routing, security, load balancers, private links, and DNS. Design cross-cloud traffic on purpose: Cloud A → private connection → Cloud B, not public exposure of internal services.
For critical paths add segmentation, zero trust, encryption, private endpoints, firewalls, centralized DNS, and traffic monitoring.
Moving compute is easier than moving large databases. Decide the source of truth, where DBs run, replication, failover speed, partition behavior, and residency — before you split compute.
A common pattern is a primary database plus selective replicas. That still brings consistency, conflicts, latency, recovery, and cost.
Do not live in three native consoles. Unify logs, metrics, traces, health, errors, latency, traffic, and cost. Distributed tracing matters when one request crosses environments.
Hidden spend shows up as cross-cloud transfer, duplicate infra, idle capacity, extra monitors, managed fees, backups, connectivity, and people time. Track cloud → account → environment → service → product → customer.
Watch cost per customer, per API, per transaction, utilization, and network transfer. For SaaS, infrastructure cost per customer ties spend to product economics.
Each provider has its own identity model. Apply one strategy: centralized identity / SSO, least privilege, encryption in transit and at rest, secrets outside source, continuous monitoring, and policy on infrastructure.
Multi-cloud only improves recovery if failover is tested. Define RTO (how fast you recover) and RPO (how much data you can lose) — for example 30 minutes and 5 minutes — then let those numbers shape the design.
An untested backup is not a recovery strategy.
A mature shape. Not every company needs this on day one — grow into it.
Multi-cloud is not a checkbox. Running AWS, Azure, and GCP at once does not automatically make you more resilient. Poor design raises complexity + cost + operational risk.
Pick a primary cloud for your team and product. Use others only where they add real advantage. The goal is not to run everywhere.
Cloud strategy should follow the business — not the other way around.
Need a cloud architecture that scales with the business?
Talk to IHTRAD