Cloud cost optimization refers to the process of tracking, analyzing, and using automation to check your cloud costs to achieve cost efficiency and financial clarity. As your organization expands its use of cloud resources, costs can escalate rapidly, leading to exceeded budgets, wasted resources, and inefficiencies that can negatively affect your overall profitability.
A robust cloud cost optimization strategy enables you to optimize your organization's cloud expenditures, reduce waste, and improve ROI. This involves a mix of automation, policy-driven governance, cost allocation, and predictive analytics to ensure the maximum value of your cloud investments.
As your organization adopts more multi-cloud and hybrid cloud environments, you may feel the heat to get real-time insights into cloud bills. Cloud cost optimization allows you to:
Spot unused and underutilized resources to reduce waste and keep your cloud bills in check.
Distribute resources effectively across various teams and departments and manage cloud cost for a single geolocation.
Leverage predictive analytics to plan and oversee cloud expenses and get insights based on past spending.
Strike a balance between cost control and performance to maintain smooth operations.
To manage cloud costs effectively, you need a structured approach that emphasizes visibility, automation, and optimization. Here are four essential components of a strong cloud cost optimization solution:
The first step toward controlling costs is understanding cloud utilization. A cloud cost visibility and analytics solution offers:

Managing costs manually can be tedious and error-prone. Automated cost optimization solutions help you save money by:

Today, many organizations operate across various cloud providers, making governance crucial for maintaining cost control. Multi-cloud cost governance encompasses:
