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Distributed Systems Interview Questions

Ace your senior SRE distributed systems interview with our AI-powered real-time coach. Get instant guidance on reliability engineering, failure modes, distributed systems troubleshooting, and SLO/SLI implementation.

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Distributed Systems Troubleshooting

Interviewer [00:00:05]: You're on-call and receive an alert that latency for a critical microservice has increased by 500%. The service is part of a distributed system with 20+ services. How would you approach troubleshooting this issue?

You [00:00:15]: I'd start by gathering more information about the alert and the affected service. What's the normal latency baseline? Is this affecting all requests or just a subset? Are there any recent deployments or configuration changes? Let me walk through my approach systematically.

AI Suggestion:

  • Initial Assessment:
    • Verify the alert is real (not a monitoring issue)
    • Check if other related services are also affected
    • Determine impact scope (all requests vs. specific endpoints/users)
    • Review recent changes (deployments, config changes, traffic patterns)
  • Data Collection:
    • Examine distributed tracing data to identify bottlenecks
    • Check logs for error patterns or exceptions
    • Review resource metrics (CPU, memory, network, disk I/O)
    • Analyze database performance metrics if applicable
  • Systematic Investigation:
    • Look for correlation between latency and specific dependencies
    • Check for network issues between services
    • Investigate potential database slowdowns
    • Examine cache hit rates and potential cache issues
    • Look for signs of resource exhaustion or throttling
  • Mitigation Strategies:
    • Consider rolling back recent changes if identified as cause
    • Implement circuit breakers if dependency issues are found
    • Scale up resources if capacity is the bottleneck
    • Redirect traffic if specific instances are problematic
  • Communication:
    • Keep stakeholders informed of investigation progress
    • Document findings in incident management system
    • Coordinate with other teams if their services are involved
  • Post-Resolution:
    • Conduct root cause analysis
    • Implement monitoring improvements to catch similar issues earlier
    • Add automated tests to prevent regression

🔍 Distributed Systems Troubleshooting

Get expert guidance on troubleshooting complex distributed systems issues, including methodical approaches to isolate problems, identify bottlenecks, and resolve failures in multi-service architectures.

⚡ SLO & SLI Implementation

Receive instant recommendations on defining and implementing Service Level Objectives (SLOs) and Service Level Indicators (SLIs), including strategies for measuring reliability and setting appropriate error budgets.

🔄 Failure Mode Analysis

Access real-time guidance on analyzing failure modes in distributed systems, including techniques for identifying single points of failure, conducting fault injection testing, and designing for graceful degradation.

📊 Monitoring & Observability

Get instant suggestions for designing comprehensive monitoring and observability systems, including metrics collection, log aggregation, distributed tracing, and alerting strategies for complex distributed environments.

🔒 Reliability Engineering Practices

Receive guidance on implementing core SRE practices, including capacity planning, chaos engineering, incident management, and post-mortem analysis to continuously improve system reliability.

📈 Scalability & Performance

Access expert advice on scaling distributed systems, including load balancing strategies, caching approaches, database scaling techniques, and methods for identifying and resolving performance bottlenecks.

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