Is this a video course?

No. This is an interactive, slide-based learning platform. Each lesson has rich text, animated diagrams, live code editors, and quizzes. You learn by reading, interacting, and doing, not by watching videos passively.

How long do I have access?

Forever. Both pricing tiers are one-time payments with lifetime access. This includes all current 766 lessons and any future content we add.

What level of experience do I need?

None. We start from absolute basics like 'What is latency?' and build up to distributed consensus protocols. The Foundation level assumes zero prior knowledge of system design.

How much does the system design course cost?

7.99 US dollars for lifetime access globally, or 499 Indian rupees for lifetime access in India. One-time payment, no subscription, no hidden fees. 11 lessons are free with no signup required.

What technologies are covered?

Everything from DNS and load balancers to Kubernetes, Kafka, distributed databases, consensus protocols, stream processing, security architecture, and observability. We cover principles and real-world implementations used at Netflix, Google, Amazon, Uber, Stripe, and more.

Is this useful for system design interview preparation?

Yes. The lessons are structured around the exact topics asked in system design interviews at FAANG and top-tier companies. Interactive diagrams help you practice whiteboard-style explanations. Covers everything from URL shortener design to distributed payment systems.

How is this different from ByteByteGo or Educative?

766 interactive lessons (4x more than most competitors), 16 different diagram types that build step by step, real production examples from Netflix, Google, Amazon, Uber, and Stripe, and lifetime access for a one-time payment of $7.99 instead of annual subscriptions costing 100 to 200 dollars per year.

An agent authenticates to the backend with a single admin-scoped service key so it works for any user. Why is this the core identity risk?

The agent acts with its own broad authority rather than the requesting user's narrow authority, so a single injected instruction runs with admin power over every tenant, Authentication succeeds, but the authority is wrong. The agent acts as itself with broad, ambient admin scope instead of as the user with narrow scope. Because the agent reads untrusted content every turn, an injected instruction inherits that admin power, and the blast radius is the whole backend for every customer rather than one user's own data.

What does OAuth 2.0 Token Exchange (RFC 8693) let an agent do that forwarding the user's token does not?

Trade the user's token for a fresh, short-lived token scoped to just the current task, recording both the user as subject and the agent as actor, Token exchange narrows authority instead of copying it. The agent exchanges the user's token for a new one with only the scope the task needs, a short expiry, and an audience pinned to the target resource. The minted token names both the user (subject) and the agent (actor). Forwarding the raw user token hands over the full session with every scope, for as long as it is valid.

In a multi-tenant agent, what single design choice most determines whether one user can read another tenant's data?

Whether the tenant identifier is derived from the verified token on the server, or trusted from the request body where an injected instruction can set it, The tenant must come from the authenticated principal, never from input. If the agent trusts a tenant id in the request body, an injected instruction can point it at any tenant. Deriving the tenant from the verified token, and enforcing it at the database with row-level security, means the agent cannot widen its own reach because it never chose the tenant.

An autonomous agent runs as a scheduled job with no user to delegate from. What is the right way to give it an identity to call other services?

Issue a short-lived workload identity (a SPIFFE SVID, or a cloud workload identity) that the platform attests and that services verify over mutual TLS, A workload with no user still needs a verifiable identity, and a shared secret in an env var never rotates and leaks easily. SPIFFE/SPIRE attests the workload and issues a short-lived, auto-rotating SVID, verified over mTLS. AWS IAM Roles for Service Accounts, GCP Workload Identity Federation, and Azure managed identities are the cloud equivalents. No standing secret is stored anywhere.

Agent Identity and Authorization: Whose Authority Is It?

Name: System Design Masterclass
Availability: InStock

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