Design a distributed logging system
PremiumData pipelineHard
- Logging
- Distributed systems
- Log ingestion
Quick answer
This data pipeline interview question asks you to design a distributed logging system. Aim for a design that moves data from sources to consumers reliably and on time, then explain ingestion, processing, storage and trade-offs. Interviewers want to see how you handle volume, late or bad data and failures along the way.
The problem
Design a distributed logging system that can collect, process, store, index, and query logs from multiple services in a large-scale environment.
What must a distributed logging system do?
- Services can send logs through agents, APIs, or streaming pipelines.
- The system should support structured and unstructured logs.
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How well must it do it?
- The system should handle high write throughput.
- Log ingestion should be reliable and tolerate temporary downstream failures.
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What scale should you design for?
Use these numbers in your estimates.
The scale numbers unlock with this questionUnlock
Key concepts
- Logging
- Distributed systems
- Log ingestion
- Indexing
- Search
- Analytics
How you’ll practise
6 short steps · save and come back any time
- Requirements
- Data volume
- Ingestion
- Storage and processing
- Serving and freshness
- Wrap-up
Lala, personalized to you, gives a hint when you ask and reviews your design when you are ready.
What do interviewers look for?
In any data pipeline design round.
- Clarifies sources, consumers and freshness needs
- Chooses batch, streaming or both with reasons
- Handles late, duplicate and malformed records
- Makes each stage safe to retry
- Explains storage formats and partitioning
- Plans monitoring, backfills and data quality checks
Questions people ask about this interview question
- Which design type is this question?
- It is a data pipeline question. You design a distributed logging system and explain your choices the way you would in an interview.
- Is this question asked at entry level?
- It is marked Hard. It suits engineers preparing for senior interviews, where you are expected to drive the discussion and go deep on trade-offs.
- What should I cover first?
- Start with the data sources, the consumers and how fresh the data must be. Agree on scope with the interviewer before you design anything.
- Can I practise it for free?
- It is a premium question. Sign up and unlock it once for 10 credits; it then stays unlocked. When you finish, Lala, your personalized AI mentor, can review your design for 30 credits.
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Updated · Written by the SevyDevy team