Software Architecture & Design of Modern Large Scale Systems

Michael Pogrebinsky connects large-system design with technical requirements and architectural building blocks. Components and APIs provide a high-level structure, while scalability, availability and performance give learners criteria for comparing alternatives. The course is useful for examining how a requirement changes a design rather than collect a catalog of patterns without their operating assumptions.

What you will learn

• Translate requirements into components and interfaces.
• Compare scalability and availability choices.
• Explain an architectural tradeoff and its assumptions.

Who this suits

Basic programming and software-engineering knowledge are required. Bring a small application you can already explain before extending the discussion to a larger system.

Before you enroll

The page was updated in September 2026. A large traffic claim does not establish that a design fits a particular workload. State the assumptions and identify the measurements needed to test them.

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Put it into practice

Write a short system brief and propose two architectures. Identify the expected load, failure requirement and data constraints, then explain which evidence would justify additional infrastructure instead of assuming more components improve the design.

Source and review

This overview is based on the provider's published information, checked on 14 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

When no formal provider level is given, the level filter is an editorial estimate based on the published audience and requirements. Time filters use the listed video runtime; independent exercises can take longer.

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Supporting provider sources

• support.udemy.com: supporting course information