Cost Optimisation

Optimise Your Cloud Costs

We’ll analyse your cloud usage, identify cost saving opportunities, and implement strategies to reduce spend.

Why Cloud Costs Can Spiral Out of Control:

Uncontrolled Resource Provisioning:     Unnecessary services and overprovisioned resources can lead to significant      cost overrun.

Lack of Visibility: Without proper monitoring, it's difficult to identify costs

Inefficient Usage: Idle resources and      underutilised services can drain your budget.

Our Solution:

Comprehensive Cost Analysis: We’ll delve into your cloud usage to pinpoint areas for improvement.

Tailored Optimisation Strategies: We’ll develop a customised plan to reduce costs without compromising  performance.

Continuous Monitoring and Optimisation: We’ll track your cloud spending and implement ongoing optimisation.

Reduce Costs: Advance payments, volume discounts, unused resources 

Predictability: Using cloud monitoring tools that can help you determine how much you’re spending and where you can reduce costs.

Efficiency: Wasted resources. Using load balancing and automatic or on-demand scaling can ensure your resources are efficient and optimised.

Performance: Choosing the right fit is crucial for your organisation to avoid overspending or underperformance. Carefully examining your needs and having a cost optimisation strategy in place will give you optimum performance

Visibility: How your organisation builds, uses, and manages technology is essential for transparency in managing costs and other areas such as security.  

    Decision-making around cloud computing is often decentralised, which makes determining cloud costs difficult.  Cost optimisation is a marathon not a sprint; an ongoing process of continuous improvement as change is constant and costs quickly go up again. 

Libra Advisory are experts in reducing on-going costs so they can be re-invested where needed. Through analysing your spend we provide an accurate report on where costs can be optimised and quantifying the savings based on predicted usage: