Guides
14 guides on cloud architecture. Practical writing from the team building Atlas, useful whether or not you buy anything.
Cloud architecture diagrams need official icons, must stay honest against real infrastructure, and are read by mixed audiences. The best tools handle all three without forcing a compromise.
A multi-cloud diagram has to do something single-cloud diagrams never do: show where one provider ends and another begins, and how data crosses between them without becoming a tangle.
Serverless architectures are defined by events and triggers, not servers, so a good serverless diagram shows what triggers what: the flow of events through functions and managed services.
The three big clouds organize resources differently, and a diagram that ignores those differences ends up subtly wrong. Knowing where the models diverge is what makes each diagram accurate.
The difference between a cloud diagram people trust and one they ignore is a handful of habits: consistent grouping, honest notation, the right level of detail, and a plan for staying current.
Kubernetes is a stack of abstractions, and a good diagram shows the ones that matter for your question: cluster and nodes for operators, namespaces and services for developers.
Google Cloud has a distinctive model: global VPCs, projects as the organizing unit, and a strong serverless story. A good GCP diagram reflects those choices rather than pretending it is AWS.
Azure organizes resources differently from AWS, and a good Azure diagram reflects that: subscriptions, resource groups, and VNets are the boundaries that give the picture its meaning.
A good AWS diagram is built from the outside in: boundaries first, then services, then flows. This is the method that produces a diagram people trust rather than one they have to decode.
AWS ships hundreds of service icons and a set of grouping conventions that carry real meaning. Reading them fluently is what separates a diagram that communicates from one that just looks technical.
Google Cloud organizes resources around projects and global VPCs. A good GCP diagram reflects that structure. This guide shows how to draw one that reads correctly.
Azure has its own organizing concepts (subscriptions, resource groups, virtual networks) and a good diagram shows them. This guide covers how to draw Azure architecture clearly.
Cloud diagrams are easy to make and hard to make well. These practices apply whether you are on AWS, Azure, or GCP, and turn icon soup into diagrams people trust.
AWS diagrams go wrong when they become icon soup. This guide shows how to draw ones that communicate real architecture: boundaries, data flow, and the few services that matter.
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