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.
See SRE Interview AI in Action
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.
Top SRE & Distributed Systems Resources
Ready to Ace Your SRE Interview?
Join thousands of senior SREs who've used our AI coach to master distributed systems interviews and land positions at top tech companies.
Get Your SRE Interview AI CoachRelated Technical Role Guides
Master more technical role interviews with AI assistance