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Design a Real-Time Logging System

Last updated: May 3, 2026

Quick Overview

This question evaluates a candidate's competency in designing scalable, low-latency telemetry and logging systems, covering distributed systems architecture, ingestion pipelines, data modeling, real-time querying, reliability, backpressure, partitioning, indexing, retention, and operational trade-offs.

  • medium
  • Booking
  • System Design
  • Software Engineer

Design a Real-Time Logging System

Company: Booking

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design a logging/telemetry system for a large application platform. Requirements: - Many services send log or metric events to the system - Event submission from producers can be asynchronous - Users must be able to read/query the data in real time for debugging, monitoring, or dashboards Discuss: - APIs and data model - High-level architecture for ingestion, storage, and querying - How to handle high write throughput - How to make recently ingested data available for real-time reads - Reliability, fault tolerance, and backpressure - Partitioning, indexing, retention, and scaling trade-offs

Quick Answer: This question evaluates a candidate's competency in designing scalable, low-latency telemetry and logging systems, covering distributed systems architecture, ingestion pipelines, data modeling, real-time querying, reliability, backpressure, partitioning, indexing, retention, and operational trade-offs.

Booking logo
Booking
Mar 15, 2026, 12:00 AM
Software Engineer
Onsite
System Design
4
0

Design a logging/telemetry system for a large application platform.

Requirements:

  • Many services send log or metric events to the system
  • Event submission from producers can be asynchronous
  • Users must be able to read/query the data in real time for debugging, monitoring, or dashboards

Discuss:

  • APIs and data model
  • High-level architecture for ingestion, storage, and querying
  • How to handle high write throughput
  • How to make recently ingested data available for real-time reads
  • Reliability, fault tolerance, and backpressure
  • Partitioning, indexing, retention, and scaling trade-offs

Solution

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