DESIGN QUESTION BANK 2 min read Library →

Developing a message queueing system

Messaging and event delivery interview practice prompt.

Additional prompt details

  • Create your own queue that will hold messages in the form of JSON(Standard library with queue implementation were not allowed).
  • There can be more than one queue at any given point of time.
  • There will be one publisher that can generate messages to a queue.
  • There are multiple subscribers that will listen to queues for messages.
  • Subscribers should not be tightly coupled to the system and can be added or removed at runtime.
  • When a subscriber is added to the system, It registers a callback function which makes an API call to the given end point with the json payload, this callback function will be invoked in case some message arrives.
  • Subscriber can consume the messages in batches if the queue has more than one message and it should be configurable.
  • There must be a retry mechanism for handling error cases when some exception occurs in listening/processing a message, that must be retried.

Functional requirements (FR)

  • Accept messages or events from authorized producers and route them to the intended recipients or subscribers.
  • Support subscription, filtering, delivery status, and runtime changes to subscribers or destinations where required.
  • Retry transient failures and expose failed, delayed, or dead-lettered work for inspection.
  • Allow producers or consumers to identify and safely handle duplicate deliveries.

Non-functional requirements (NFR)

  • Specify delivery semantics, ordering scope, retention, and replay behavior.
  • Meet explicit latency and throughput objectives while isolating noisy tenants or consumers.
  • Protect message payloads and endpoint credentials; prevent unauthorized subscriptions and delivery.
  • Remain observable during provider failures, backlogs, retry storms, and partial regional outages.

Principal-level discussion

  • Define the scale, success measures, and operational ownership before committing to an architecture.
  • Compare at least two viable approaches and explain the trade-offs, migration path, and failure behavior.
  • Identify the riskiest assumptions and how you would validate them with data or a staged rollout.

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