Cloud Cost Optimisation
Do you know you can reduce your cloud spend by an average of 35% by properly optimising your cloud resources?
ITRS named a Visionary in the 2024 Gartner® Magic Quadrant™ for Digital Experience Monitoring
Do you know you can reduce your cloud spend by an average of 35% by properly optimising your cloud resources?
Cloud Cost Whitepaper, Optimising Cloud Spend By Right-Sizing and Right-Buying
Highly granular data capture of resources. Identify the sizes of instances needed for each application workload. Determine optimum configuration of burstable or non-burstable instance. Identify idle times and workload periodicity. Understand the capacity of Hybrid-IT. Bring work back from the cloud if on premise capacity allows it.
Identify where the instance needs to run (location) and optimise for cost/performace. Identify the best way to buy the instance depending on how long it will be running. Identify how long an instance should run, and if it is idle, how long before it should shut down. Continually analyse the cloud provider billing engines to identify optimal usage and policies.
Right-Size at the application level by correlating business demand with cloud service utilisation. Plan for growth and predict upcoming costs with advanced predictive analytics and Forward Thinking what-if scenario modelling. Improve business process with Service Management integration. Manage across Hybrid-IT, on prem and multi-cloud in a single tool with consistent reporting regardless of environment.
Public Cloud is a 230 Billion industry growing at 22% p.a. Cloud providers offer some data/tools to help manage costs, but with this level of complexity, it is not surprising 35% of cloud spend is wasted.
Through 2024, nearly all legacy applications migrated to public cloud infrastructure as a service will require optimisation to become more cost-effective.
Job has changed to encompass cloud. 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. Organization applying pressure to move to cloud but needs to demonstrate how to move to cloud, when to move to cloud and if it really is the most cost effective approach.
Cloud application costs spiralling. Managing a combination of on-premise and in-cloud applications. On-premise applications expected to move to 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 utilization. What is the most cost effective use of cloud services?