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All System Design AI Solutions Architecture & AI Engineering Interview Questions (61)

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Part 4 of 5

A Good System Still Works on a Bad Day

Meera's library app has a very bad term: a dead server, a lost zone, a runaway retry storm, a deleted table and a stolen reservation. Each disaster introduces one idea: SLIs/SLOs, redundancy and failover, circuit breakers and rate limiting, authentication vs authorization, OAuth/OIDC, and recovery targets. Guide 4 of 5.

Created 2026-09-15 · Updated 2026-10-15 · System Design

Part 5 of 15

Designing Authentication: Proving Who You Are

A stolen laptop, a forgotten password and a 'Sign in with Google' button: follow one student's account to design registration, login, sessions, recovery, MFA and OIDC sign-in around durable identity instead of trusted client claims.

Created 2026-09-16 · Updated 2026-10-15 · System Design

Part 15 of 15

Designing a Payment System: Charging a Customer Once, Even When Networks Fail

Mrs. Rao pays ₹1,000 for Diwali groceries, the network hiccups, and she taps Pay again. Follow her payment through idempotency keys, an honest 'unknown' state, webhooks, a double-entry ledger and daily reconciliation, then up to the enterprise questions: stakeholders, compliance, failover and how the design grows.

Created 2026-09-26 · Updated 2026-10-15 · System Design

Part 18 of 28

Production Engineering: Observability, Security, Deployment, Kubernetes, and Cost

What separates a design on paper from a system you can run: metrics, logs and traces, SLOs, zero-trust security, safe deployment strategies, Kubernetes essentials, multi-region cloud choices, and cost control.

Created 2026-09-29 · Updated 2026-10-15 · System Design

Enterprise MCP Gateway: One Front Door for Thousands of AI Agent Tools

Why a company with hundreds of MCP servers needs a gateway, and how a control plane, a data plane, tool-level authorization, progressive discovery and response projection work, using Uber's published MCP Gateway as a case study.

Created 2026-10-04 · Updated 2026-10-15 · AI Solutions Architecture & AI Engineering

Multi-Tenant RAG: Retrieving the Right Answer from the Right Customer

How to stop one company's documents leaking into another company's answers: tenant isolation at ingestion, retrieval, context assembly and caching, and how to choose between a shared index, namespaces and dedicated indexes.

Created 2026-10-04 · Updated 2026-10-15 · AI Solutions Architecture & AI Engineering