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Compute top-N posts in a workspace

Last updated: Mar 29, 2026

Quick Overview

This question evaluates skills in designing scalable, low-latency analytics and aggregation systems, covering event tracking, time-windowed ranking, stream processing, storage trade-offs (OLTP vs OLAP), caching, API design, and handling late or duplicate events.

  • medium
  • Atlassian
  • System Design
  • Software Engineer

Compute top-N posts in a workspace

Company: Atlassian

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design a feature that returns the top-N posts (e.g., Confluence pages/blog posts) in a workspace. Requirements: - Define what “top” means (e.g., views, likes, comments, or a weighted score). - Support queries like: top N posts for the last 24 hours / 7 days / 30 days. - Low latency for reads. - Handle high write volume of events (views/likes). Deliverables: - Event tracking and aggregation design. - Storage choices (OLTP vs OLAP) and schema. - API design and caching. - Handling late/duplicate events and backfills.

Quick Answer: This question evaluates skills in designing scalable, low-latency analytics and aggregation systems, covering event tracking, time-windowed ranking, stream processing, storage trade-offs (OLTP vs OLAP), caching, API design, and handling late or duplicate events.

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Atlassian logo
Atlassian
Jan 5, 2026, 12:00 AM
Software Engineer
Onsite
System Design
2
0

Design a feature that returns the top-N posts (e.g., Confluence pages/blog posts) in a workspace.

Requirements:

  • Define what “top” means (e.g., views, likes, comments, or a weighted score).
  • Support queries like: top N posts for the last 24 hours / 7 days / 30 days.
  • Low latency for reads.
  • Handle high write volume of events (views/likes).

Deliverables:

  • Event tracking and aggregation design.
  • Storage choices (OLTP vs OLAP) and schema.
  • API design and caching.
  • Handling late/duplicate events and backfills.

Solution

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