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Principal Engineer, Google Backend
·
Module 9
Performance, Efficiency, and Cost
1
Caching Patterns and Invalidation Strategies
Analyze caching patterns (e.g., read-through, write-behind) and invalidation strategies.
2
Multi-Layer Caching Architecture Design
Design a multi-layer caching architecture for a given system scenario.
3
Minimizing Tail Latency in Distributed Systems
Explain techniques for reducing tail latency in distributed systems, such as speculative requests and request hedging.
4
Local vs. Global Secondary Indexes: Performance Trade-offs
Analyze local versus global secondary indexing approaches and their performance trade-offs.
5
Hot-Spot Management in Distributed Systems
Explain hot-spot detection and mitigation strategies for distributed workloads.
6
Optimizing Resource Efficiency in Large-Scale Systems
Describe methods for analyzing and improving resource efficiency (CPU, memory, network) in large-scale systems.
7
Capacity Planning for Distributed Systems
Formulate a capacity plan for a distributed system considering growth forecasts and SLOs.
Cost-Optimizing Cloud-Native Systems with Performance SLOs
Devise cost-optimization strategies for a large-scale cloud-native system while maintaining performance SLOs.
Previous module
High-Performance Service Communication
Next module
Observability for Complex Systems