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Design centralized log ingestion and query system

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design scalable, reliable log ingestion and query systems, covering distributed systems, high-throughput data ingestion, storage and indexing strategies, and observability within the System Design domain.

  • medium
  • Rippling
  • System Design
  • Software Engineer

Design centralized log ingestion and query system

Company: Rippling

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

## Problem Design a system to **collect, transmit, store, and query application/data logs** from many services/hosts into a **central data center database**. ## Requirements ### Functional - Services/hosts continuously generate log events. - Logs must be **transported to a central data center** and persisted. - Users must be able to **query logs from a centralized store**. - Support: - **Near-real-time “log check”** (debugging/triage shortly after events happen). - Historical querying for up to **3 months** of retained logs. ### Non-functional (clarify/assume if not given) - High write throughput and burst handling. - Query performance for both recent and 3-month historical data. - Reliability (no/limited data loss), ordering not strictly required unless specified. - Multi-tenant access control. ## Deliverables Describe: - End-to-end architecture (agents, transport, ingestion, storage, query). - Data model and indexing strategy. - Retention/TTL and tiered storage approach. - Failure handling (backpressure, retries, deduplication). - Monitoring/operational considerations.

Quick Answer: This question evaluates a candidate's ability to design scalable, reliable log ingestion and query systems, covering distributed systems, high-throughput data ingestion, storage and indexing strategies, and observability within the System Design domain.

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Rippling logo
Rippling
Jan 22, 2026, 12:00 AM
Software Engineer
Technical Screen
System Design
40
0
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Problem

Design a system to collect, transmit, store, and query application/data logs from many services/hosts into a central data center database.

Requirements

Functional

  • Services/hosts continuously generate log events.
  • Logs must be transported to a central data center and persisted.
  • Users must be able to query logs from a centralized store .
  • Support:
    • Near-real-time “log check” (debugging/triage shortly after events happen).
    • Historical querying for up to 3 months of retained logs.

Non-functional (clarify/assume if not given)

  • High write throughput and burst handling.
  • Query performance for both recent and 3-month historical data.
  • Reliability (no/limited data loss), ordering not strictly required unless specified.
  • Multi-tenant access control.

Deliverables

Describe:

  • End-to-end architecture (agents, transport, ingestion, storage, query).
  • Data model and indexing strategy.
  • Retention/TTL and tiered storage approach.
  • Failure handling (backpressure, retries, deduplication).
  • Monitoring/operational considerations.

Solution

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