Understanding Cloud Infrastructure Basics

Introduction

Every modern startup runs on cloud infrastructure, whether they are training AI models, building SaaS platforms, or powering consumer apps. For venture capitalists, understanding the basics is no longer optional. Cloud choices directly affect burn rate, gross margins, scalability, and exit potential.

This guide introduces the core terms, models, and players in cloud infrastructure—tailored to investors who want to sharpen their diligence questions and avoid being surprised by a startup’s AWS bill.

1. Core Building Blocks of Cloud Infrastructure

Compute
The raw processing power that runs applications and workloads. In cloud terms, compute often comes in the form of virtual machines (VMs) or containers. Startups may also leverage specialized chips like GPUs for AI.

Storage
Where data lives. Object storage (e.g., AWS S3, Wasabi, Backblaze) is the most common, designed for scale and reliability. Block storage is used for databases and transactional systems.

Networking
The backbone that connects users and systems. Includes load balancers, content delivery networks (CDNs), and security layers. Egress fees (the cost of moving data out of a cloud) are often a hidden expense for startups.

Databases and Middleware
Managed services for relational databases (Postgres, MySQL) or NoSQL options (MongoDB, DynamoDB). Middleware includes messaging, streaming, and integration services.

2. Cloud Service Models (IaaS, PaaS, SaaS)

Infrastructure-as-a-Service (IaaS)
Provides raw building blocks: compute, storage, networking. AWS EC2 and Google Compute Engine are classic examples. Startups gain flexibility but must manage complexity.

Platform-as-a-Service (PaaS)
Provides a managed environment to run applications without handling servers directly. Examples: Heroku, Google App Engine. Faster for developers, but less flexible at scale.

Software-as-a-Service (SaaS)
End-user applications delivered over the internet. Think Salesforce, Slack, or Notion. Most VC-backed startups are SaaS companies, but they themselves often run on top of IaaS/PaaS.

3. Who the Major Players Are

Hyperscalers
The dominant global cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Collectively they hold over 60% of global market share.

Challenger Providers
Backblaze, Wasabi, and Cloudflare offer simpler, often cheaper models—especially for storage-heavy startups. They may lack the breadth of hyperscalers but are strong in niches.

Hybrid and Edge Providers
Players like IBM Cloud, Oracle Cloud, and Equinix focus on hybrid setups and regulated industries. Edge providers like Cloudflare Workers support low-latency workloads close to end users.

4. Strategic Concepts VCs Should Know

Vendor Lock-In
When a startup becomes so dependent on one cloud provider’s services that moving away is prohibitively expensive. This can inflate long-term costs or reduce bargaining power.

Multi-Cloud
The strategy of using more than one provider for resilience, cost optimization, or compliance. While often appealing in theory, it requires greater technical maturity.

Sovereign Cloud
Cloud infrastructure that complies with local data residency and regulatory requirements, often in Europe or finance-heavy markets. Relevant for due diligence in regulated sectors.

FinOps
A growing discipline that combines finance and engineering to manage cloud spend. For investors, evidence of FinOps maturity signals operational discipline.

5. Why Cloud Infrastructure Literacy Matters for VCs

6. Questions VCs Should Ask in Diligence

• What percentage of your burn is infrastructure spend?
• Do you have cost visibility and forecasting tools in place?
• Are you relying heavily on one provider, and what risks does that create?
• Do you use reserved, savings, or spot pricing models to optimize costs?
• Have you built with portability in mind, or are you locked into proprietary services?

Conclusion

Cloud infrastructure basics are not just technical jargon—they are the financial plumbing of every modern startup. For VCs, knowing the difference between IaaS and SaaS, spotting risks like vendor lock-in, and understanding pricing models is essential for diligence and portfolio management.