DEDUPED Hot AI repos, turned into use cases Get 5 a day

How to design a reliable service with failure and capacity notes with Enterprise System Design

Follow the reliable service route from scale and consistency through caches, queues, and backpressure.

Who it is forA backend engineer who must explain how a service keeps working under load and partial failure.

The problemScale, failure, and capacity reasoning is often skipped until traffic forces the issue.

The outcomeA design note with requirements, failure modes, and capacity reasoning for one service.

What you need first

  • git installed, to clone the repository
  • A Markdown reader or code editor to read the chapters

Steps

  1. Run git clone https://github.com/DrHazemAli/enterprise-system-design.git
  2. Run cd enterprise-system-design
  3. Open reference/01-system-design-foundations/06-scale-from-one-to-one-million.md and read it.
  4. Write one design artifact for your service: requirements, failure modes, and capacity reasoning, as the README's lesson guarantees describe.
  5. Check the draft against the Azure Well-Architected Framework lens: reliability, security, cost optimization, operational excellence, and performance efficiency.

Prompt for your agent

Using the enterprise-system-design repository, read reference/01-system-design-foundations/06-scale-from-one-to-one-million.md, then write a design artifact for <target service> listing requirements, failure modes, and capacity reasoning. Verify that every failure mode names a detection signal.

Caveat. The repository is a course and reference, so its terminal-style banners in the README are illustrative text, not tools to run.

Share: X LinkedIn Hacker News Email Copy link

Disclaimer

Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page