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Breakdown: the cloud infrastructure market

How developers decide which *type* of infrastructure to use, and which (usually giant) cloud provider to buy it from.

Last updated Mar 23, 2026devops
Justin Gage
Justin Gage
Read within learning track:Analyzing Software Companies

Infrastructure and cloud is all about where software runs – the actual hardware, networking, and systems that allows you to magically type a URL into your browser, somehow loading a feature packed app full of data, all over the internet.

In the “old” days (i.e. high school), most apps ran locally – you’d get a copy of Excel via a CD, or download it from the web. All of the computing that Excel did – both the “graphical” frontend you interacted with, and all of the math that happened behind the scenes – took place on your laptop [1] Or your Dell Tower Desktop, brother.. Data was stored as files on your computer. Even if Excel did sometimes communicate with the web, it was only to pull in a data source and get updated. You usually paid a one time fee to buy the software, or licensed it yearly.

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Things have changed a lot since then. Now, most software runs in the cloud. Instead of existing locally, it’s deployed on big servers in data centers across the world that developers either rent from companies like AWS and GCP, or less commonly build themselves. You access it over the internet, via your browser or a dedicated desktop app. You usually pay via a subscription model. It’s a whole different dynamic.

And with this advent of cloud came an entire new set of complicated decisions for developers. Which cloud should you deploy your app on? Should you use lower level infrastructure as a service, or pay up for the smoother managed experience? Do you have all of your stuff in one cloud, or split across multiple vendors? And why are there so damn many vendors who seemingly sell the same infrastructure?

This post will walk through everything that someone analyzing software companies would need to know about the infrastructure and cloud space:

  • Different types of infrastructure: IaaS, PaaS, and SaaS
  • The components of an app: use cases for infrastructure
  • Why anyone chooses a particular infrastructure vendor

So far in this category, we’ve covered AWS, Cloudflare, DigitalOcean, Heroku, and Vercel.

Terms Mentioned

HTML

Frontend

Open Source

JavaScript

IaaS

PaaS

NoSQL

Server

Cloud

Kafka

Infrastructure

Production

Backend

Networking

API

Data lake

Analytics

Data warehouse

Continuous integration (CI)

Deploy

Endpoint

ETL

CSS

Inference

Database

Operating System

React

Query

DNS

Companies Mentioned

AWS logo

AWS

AMZN
MongoDB logo

MongoDB

MDB
Cloudflare logo

Cloudflare

NET
Snowflake logo

Snowflake

SNOW
Heroku logo

Heroku

CRM

Types of infrastructure: IaaS, PaaS, and SaaS#

The best way to start wading through this massive world of infrastructure providers is to split vendors (more accurately: products) up into three groups, based on how much “work” they do for you, and how much you need to do yourself:

  • IaaS, or infrastructure as a service, is the lowest level. You usually just get a server with an operating system, and the rest is up to you.
  • PaaS, or platform as a service, is a bit comfier. The vendor takes care of things like getting your code onto the server, updating software (like databases), and more.
  • (SaaS, or software as a service, is fully managed. You basically have no interaction with infrastructure at all, and is less relevant to this post)

The essential question that separates all of these buckets is: how much work do you want to do yourself? Do you want to have to pick the right server size, navigate obscure pricing, get your software on it, install all of the necessary libraries, set up DNS and networking…yourself? Or do you want someone to do that stuff for you, because you have an app to build [2] This is why so many PaaS vendors have headlines that sound like 'we handle [x], so you can focus on building your app.'.

PaaS is a less DIY experience. But it’s considerably more expensive, and when someone does a lot of stuff for you, you lose the ability to customize some of the finer things that may actually be important for you. IaaS is much more DIY, and thus it’s cheaper. It’s also much more customizable. But it requires much more effort to get right. This is the fundamental tradeoff.

It’s best to think of the IaaS/PaaS distinction as a spectrum rather than 2 categories. Sure, there is classic IaaS like a virtual machine on any of the major clouds (say, an EC2 instance on AWS). And then there’s Heroku, the canonical example of PaaS. But there’s a lot in between those two:

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I’d recommend a read through of our deeper dive into the difference between IaaS and PaaS to get a better look into what really separates the IaaS and PaaS experiences from a developer perspective.

The components of an app: what actually needs deploying#

The reason there are so many infrastructure providers is that there’s simply a lot of spend to go around: applications today have so many components that just about every company out there is guaranteed to spend money on cloud at some point. So what exactly needs infrastructure, and what are developers using companies like AWS for?

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In this post

  • The components of an app: what actually needs deploying
  • Frontends
  • Databases
  • Backends
  • Analytics

More in this track

What does Snowflake do?

Snowflake sells a powerful cloud data warehouse for analytics and data science teams.

What does OpenAI do?

OpenAI is the most popular provider of generative AI models like GPT-4.

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