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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.

HardTechnical
0 practiced
Describe a capacity planning methodology for the load balancer tier. Include modeling traffic growth, handling peak-to-average ratios, required headroom for failover and autoscaling lag, calculations for required instances given connection and bandwidth limits, and provide a worked numerical example (e.g., compute instances for 1M RPS with per-instance limits).
MediumTechnical
0 practiced
Describe how to implement header-based routing (e.g., routing by X-Tenant-ID header) in an L7 proxy. Cover validation to avoid header spoofing, performance implications of header inspection, caching of routing decisions, and how to integrate the routing decision with backend authorization policies.
MediumTechnical
0 practiced
Explain how connection pooling and HTTP keep-alive between load balancers and backend services affects throughput and resource usage. Which parameters would you tune on the LB and backend (max connections, idle timeouts, pool sizes) to maximize efficiency while avoiding head-of-line blocking and ephemeral port exhaustion?
EasyTechnical
0 practiced
Explain the round-robin load balancing algorithm. Describe how it distributes requests across backends, when this approach is appropriate, how weighted round-robin changes behavior, and provide an example scenario where simple round-robin performs poorly (e.g., heterogeneous backend performance or long-lived connections).
HardTechnical
0 practiced
You are the SRE lead on-call when the global load balancer's TLS certificate unexpectedly expires causing global 503 errors. Outline immediate triage steps, short-term mitigations to restore traffic, stakeholder and customer communication plan, and long-term remediation and process changes you would propose.

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