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Cloud Cost Optimisation

Reduce your cloud spend by an average of 35% by optimising your cloud resources. 


See why our customers trust us

''We chose the Cloud Cost Optimisation solution because it provided us with the greatest amount of data, maximum flexibility in how we view that data and professional, responsive, in-person support to help us realise the greatest savings. (...) The Cloud Cost Optimisation solution is critical for our business. It gives us detailed insight into our costs versus our performance and allows us to design an optimal solution for each of our clients.''

Christopher M. Dundy, CEO at Flagship LMS

Analyse your IT estate and optimise your cloud cost in 3 steps



Identify the sizes of the cloud instances needed for each application workload. Using highly granular data capture, you can determine optimum configuration of burstable or non-burstable instances, and identify idle times and workload periodicity. Once you understand the capacity of your hybrid estate, you can bring work back from the cloud if your on-prem capacity allows it.



Identify where each cloud instance needs to run and pinpoint the best way to buy it, depending on how long it's going to run for and how long before it shuts down if it's idle. By gathering this information and continually analysing the cloud provider billing engines, you can start optimising your cloud usage for cost and performance.



Improve business processes and manage your cost and performance across hybrid IT, on-prem and multi-cloud, all in a single tool with consistent reporting. By using right-size at an application level to correlate your business demand with your cloud service, you can plan for growth, predict upcoming costs and find saving opportunities with advanced predictive analytics and what-if scenario modelling. 

Man pointing at pain of glass with cloud representation

Challenges brought by cloud adoption

Managing a hybrid IT environment with many different tools and no single source of truth.

Growing costs with little visibility into the reasons for increased costs.

Organisations applying pressure to move to the cloud, but technical teams needs to demonstrate how and when to move and if it really is the most cost effective approach.

On-premise applications are expected to move to the cloud but a "like for like migration" is likely going to lead to increased costs.

Unable to forecast costs based on increased demand and likely cloud utilisation.