Load Balancing

Understands basic load balancing concepts: round-robin, least-connections algorithms, and L4/L7 load balancers. Follows team procedures for configuring Nginx/HAProxy and monitoring backend health with basic health check endpoints.

Knows basic load balancing concepts for network engineering and can apply them in typical tasks. Uses standard tools and follows established team practices. Understands when and why this approach is used.

Configures Application Load Balancer for platform services: target groups, health checks, routing rules. Understands the difference between ALB/NLB/CLB and their use cases. Configures SSL termination and redirect rules. Debugs 502/503 errors through CloudWatch metrics.

Understands load balancing: Layer 4 vs Layer 7, health checks, round-robin. Configures ALB/NLB in AWS. Monitors load balancer metrics: request count, latency, error rate.

Independently configures load balancing with Nginx/HAProxy/Envoy: upstream configurations, session persistence, rate limiting, and SSL/TLS termination. Implements IaC for load balancer provisioning and monitoring dashboards for traffic distribution.

Confidently applies load balancing for network engineering in non-standard tasks. Independently selects the optimal approach and tools. Analyzes trade-offs and proposes improvements to existing solutions.

Designs load balancing for the platform: weighted routing for canary, path-based routing for multi-service. Configures global load balancing (Route53, Global Accelerator). Optimizes connection draining and idle timeout. Implements WAF at load balancer level for platform protection.

Manages load balancers: target groups, weighted routing, TLS termination. Configures advanced health checks. Implements canary deployments through traffic shifting. Diagnoses 502/503 errors.

Designs load balancing architecture for high-traffic systems: ECMP routing, DPDK-accelerated proxying, and global server load balancing (GSLB). Optimizes for minimal latency with connection pooling, keep-alive tuning, and hardware offloading.

Expertly applies load balancing for network engineering to design complex systems. Optimizes existing solutions and prevents architectural mistakes. Conducts code reviews and trains colleagues on best practices.

Develops traffic management architecture for IDP: multi-layer balancing (DNS → GLB → ALB → service mesh). Implements circuit breaking and rate limiting at platform level. Creates self-service load balancer provisioning through Terraform modules for teams.

Designs load balancing architecture: global load balancing (Route53, Cloudflare), internal LB for microservices, gRPC balancing. Optimizes connection draining, session affinity, retry policies.

Defines load balancing infrastructure strategy: balancer technology selection (hardware vs software), HA configuration standards, and capacity planning for traffic growth. Establishes monitoring, alerting, and incident response procedures for load balancer failures.

Establishes load balancing standards for the network engineering team and makes architectural decisions. Defines the technical roadmap incorporating this skill. Mentors senior engineers and influences practices of adjacent teams.

Defines organizational traffic management strategy: API gateway, service mesh, load balancing as unified architecture. Leads progressive delivery adoption through traffic shifting. Designs multi-region active-active with intelligent failover for critical services.

Defines LB standards: health check requirements, failover procedures, capacity planning. Implements automated traffic management. Conducts load testing and failure mode analysis.

Defines organizational load balancing strategy: L4/L7 balancing architecture, Global Server Load Balancing between regions, choosing between cloud ALB/NLB and self-hosted HAProxy/Envoy. Designs health check standards, graceful draining and circuit breaking for critical services.

Shapes load balancing strategy for network engineering at the organizational level. Defines best practices and influences technology choices beyond their own team. Is a recognized expert in this area.

Shapes vision for intelligent traffic management: ML-based routing, predictive autoscaling, self-healing infrastructure. Defines unified data plane strategy for the organization. Evaluates emerging approaches to traffic engineering for scaling the platform globally.

Designs traffic management strategy: global server load balancing, multi-CDN, anycast. Defines traffic engineering patterns for multi-region availability and disaster recovery.