Capacity management for SLAs involves four key steps. First, you need to define your capacity requirements by understanding the current and projected demand for your services and the resources needed to meet them. You should also consider the service levels agreed or desired with customers and vendors, and the trade-offs between cost, quality, and time. Tools such as demand forecasting, business analysis, benchmarking, and gap analysis can be used to define capacity requirements. Secondly, you need to monitor your capacity performance by measuring and tracking utilization, availability, and efficiency of resources compared to targets and expectations. Additionally, you should monitor the impact of capacity on service outcomes such as reliability, responsiveness, and security. Dashboards, reports, alerts, and audits are useful tools for monitoring capacity performance. Thirdly, you need to analyze capacity issues by identifying problems or opportunities related to capacity such as bottlenecks, shortages, excesses, or mismatches. Root cause analysis, trend analysis, scenario analysis, and risk analysis can be used to evaluate root causes of capacity issues. Lastly, you need to optimize capacity solutions by designing and implementing solutions that can improve your capacity and align it with SLAs. Optimization models, simulation models, decision support systems, and automation tools can be used to optimize solutions.