Capacity Planning

Knows basic capacity planning 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.

Monitors resource utilization of platform clusters: CPU, RAM, storage via Grafana dashboards. Creates basic alerts when approaching limits. Understands Kubernetes requests/limits concepts and their impact on capacity. Collects data for monthly capacity reports.

Understands the fundamentals of Capacity Planning. Applies basic practices in daily work. Follows recommendations from the team and documentation.

Understands the capacity planning concept at team and infrastructure levels. Knows main metrics: velocity, throughput, utilization. Participates in sprint planning considering developer availability.

Applies capacity planning for on-premise and hybrid infrastructure: server procurement planning, storage growth forecasting, and network bandwidth analysis. Implements monitoring dashboards for capacity trend visualization and alerting.

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

Analyzes platform resource consumption trends: historical data, seasonality, growth. Creates capacity models for Kubernetes clusters accounting for overcommit ratio. Plans scaling events ahead based on business forecasts. Optimizes bin packing through pod topology and affinity.

Conducts capacity planning for services: trend analysis, growth prediction, resource right-sizing. Configures HPA/VPA. Creates capacity dashboards. Plans seasonal load changes.

Independently plans team capacity for a quarter considering technical debt and on-call rotation. Accounts for infrastructure capacity when planning load-heavy features. Works with system performance data.

Conducts capacity planning for infrastructure components: load forecasting based on historical metrics, Kubernetes cluster growth planning, IOPS calculation for storage subsystem. Builds resource consumption models (CPU, RAM, network bandwidth) and defines scaling points for critical services.

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

Designs capacity management system for IDP: automated right-sizing recommendations (VPA, Goldilocks). Implements predictive capacity planning based on historical metrics. Creates cost-capacity model per tenant. Automates cluster autoscaling (Karpenter) with SLA awareness.

Designs capacity management: predictive scaling, load testing for capacity validation, cost-aware autoscaling. Implements automated right-sizing recommendations. Models growth scenarios.

Designs system capacity planning architecture with load modeling, performance benchmarking, and auto-scaling strategies. Evaluates non-functional requirements impact on infrastructure sizing. Makes ADR decisions on horizontal vs vertical scaling trade-offs.

Plans capacity for multiple teams considering cross-team dependencies and infrastructure constraints. Designs scaling strategy for the product, balancing cost and performance. Forecasts resource needs.

Defines capacity planning process for the organization: regular resource utilization reviews, forecast models based on business metrics, quarterly infrastructure budgeting. Implements automatic capacity monitoring through Prometheus alerts and coordinates planning with development teams for new launches.

Establishes capacity planning 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 capacity management strategy: FinOps practices, showback/chargeback model, reserved capacity vs spot. Leads quarterly capacity planning review with technical and business stakeholders. Designs multi-region capacity strategy with failover reserves.

Defines capacity planning process: periodic reviews, headroom policy, growth budgets. Coordinates capacity requests between teams. Implements automated capacity reporting.

Defines product architectural strategy with Capacity Planning. Establishes architecture guidelines. Conducts architecture reviews.

Defines capacity planning standards for the division, including team and infrastructure capacity. Introduces forecasting models considering user base growth and technical complexity. Optimizes cloud costs.

Shapes capacity management strategy at company level: long-term infrastructure investment planning, TCO models for cloud vs on-premise, FinOps practices for cost optimization. Defines predictive scaling approach, negotiates enterprise contracts with cloud providers and plans capacity for 3-5 year horizon.

Shapes capacity planning 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 sustainable capacity strategy for the platform: ML-driven forecasting, autonomous scaling, carbon-aware computing. Defines TCO model for on-prem vs cloud vs hybrid. Advises executives on capital planning for infrastructure investments over 3-5 year horizon.

Designs capacity management platform: ML-based demand forecasting, automated provisioning, cost optimization at scale. Defines organizational capacity governance.

Defines the organization's architectural strategy. Designs reference architectures. Establishes architecture governance.

Shapes enterprise capacity planning strategy linking business growth with technical investments. Defines FinOps approaches, forecasts infrastructure needs 2-3 years ahead, coordinates hiring plan.