Scenario
You are responsible for designing and operating a backend service that processes API requests from clients. This service has recently experienced performance degradation, manifesting as slow responses or timeouts, specifically during periods of high request volume.
Questions
1. Diagnosing and Mitigating Performance Issues During Traffic Spikes
Given that you can modify both the underlying infrastructure and the application code, describe your approach to diagnose and mitigate the performance issues observed during traffic spikes. Your answer should cover both immediate, short-term mitigations and more robust, long-term architectural changes.
2. Estimating Server Capacity
Assuming a set of operational parameters (e.g., number of users, average and peak request rates, data volume), detail how you would estimate the required server capacity for this service. Specifically, explain:
- What key inputs and metrics you would need to gather or define (e.g., traffic patterns, latency Service Level Objectives (SLOs), CPU/memory consumption per request, storage growth rates, peak-to-average traffic ratios).
- A systematic method to translate these assumptions and inputs into concrete estimations for the number of server instances, database capacity (both compute and storage), and network/storage bandwidth requirements.
AI interview prep
Core dilemma
Balancing the need for high availability and consistent performance during unpredictable traffic spikes with cost-effective resource utilization and operational complexity.
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Scenario
You are responsible for designing and operating a backend service that processes API requests from clients. This service has recently experienced performance degradation, manifesting as slow responses or timeouts, specifically during periods of high request volume.
Questions
1. Diagnosing and Mitigating Performance Issues During Traffic Spikes
Given that you can modify both the underlying infrastructure and the application code, describe your approach to diagnose and mitigate the performance issues observed during traffic spikes. Your answer should cover both immediate, short-term mitigations and more robust, long-term architectural changes.
2. Estimating Server Capacity
Assuming a set of operational parameters (e.g., number of users, average and peak request rates, data volume), detail how you would estimate the required server capacity for this service. Specifically, explain:
- What key inputs and metrics you would need to gather or define (e.g., traffic patterns, latency Service Level Objectives (SLOs), CPU/memory consumption per request, storage growth rates, peak-to-average traffic ratios).
- A systematic method to translate these assumptions and inputs into concrete estimations for the number of server instances, database capacity (both compute and storage), and network/storage bandwidth requirements.