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Load Balancing and Traffic Distribution Questions

Covers why load balancers are used and how traffic is distributed across backend servers to avoid single server bottlenecks, enable horizontal scaling, and provide fault tolerance. Candidates should know common distribution algorithms such as round robin, least connections, weighted balancing, and consistent hashing, and understand trade offs among them. Explain the difference between layer four and layer seven load balancing and the implications for routing, request inspection, and protocol awareness. Discuss stateless design versus stateful services, the impact of session affinity and sticky sessions, and alternatives such as external session stores or token based sessions to preserve scalability. Describe high availability and resilience patterns to mitigate a single point of failure, including active active and active passive configurations, health checks, connection draining, and global routing options such as DNS based and geo aware routing. At senior and staff levels, cover advanced capabilities like request routing based on metadata or headers, weighted traffic shifting for canary and blue green deployments, traffic mirroring, rate limiting and throttling, integration with autoscaling, and strategies for graceful degradation and backpressure. Also include operational concerns such as secure termination of transport layer security, connection pooling, caching and consistent hashing for caches, monitoring and observability, capacity planning, and common debugging and failure modes.

HardSystem Design
0 practiced
Design traffic distribution across on-prem datacenters and multiple cloud regions for a hybrid migration. Requirements: route users to the nearest healthy endpoint, fail over to cloud on on-prem outage, preserve session continuity where possible, and minimize egress costs. Discuss LB placement, DNS strategies, network connectivity and session strategies.
MediumSystem Design
0 practiced
Design an internal load balancing solution for a microservices platform in one region that must support 10,000 RPS peak, p95 latency < 50ms, no sticky sessions, and autoscaling backend services. Include service discovery, LB placement, health checks, algorithm choices, failure handling, and a validation plan (load testing). Keep ops complexity and cost constraints in mind.
HardTechnical
0 practiced
Design a traffic shifting system to progressively redirect percentage-based traffic across service versions (1% -> 5% -> 25% -> 100%) while respecting capacity constraints of downstream dependencies and avoiding cascading failures. Explain how load balancers enforce weights, how to compute safe ramp steps, and how to automate rollback.
MediumTechnical
0 practiced
Define retry and timeout strategies at the client, load balancer and server layers to balance availability and the risk of duplicate processing. Address idempotency classification, retry-after headers, exponential backoff limits, and how load balancers should differentiate retriable versus non-retriable errors.
EasyTechnical
0 practiced
Explain TLS termination patterns at the load balancer: edge termination (decrypt at edge), passthrough (forward TLS to backend), and re-encryption (terminate and re-establish TLS to backends). For each pattern describe certificate management/rotation, security trade-offs, and performance implications.

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