Cloud Optimisation and Cost Management

As the adoption of cloud strategies increases, so does the consumption and utilisation of the cloud infrastructure.  The “big three” public cloud vendors, AWS, Microsoft Azure and Google Cloud Platform, have a shared responsibility model.  This means that while the physical infrastructure is their responsibility, depending on the model chosen (IaaS, PaaS or SaaS), the customer still retains responsibilities for data (all models), performance and availability (IaaS and PaaS), and the operating system (IaaS).

If you are consuming large quantities of IaaS and PaaS from one or more of the big three cloud providers and you haven't investigated Cloud Optimisation and Cost Management, then you are probably spending more than you should and risking potential service outages.

With traditional infrastructure the driver was to ensure that the IT infrastructure was highly available at all times and was delivering the correct level of service to enable the business to function.  As organisations move to a cloud infrastructure that driver moves towards providing a secure, highly available, highly performant and optimised infrastructure that enables the business to not only function but to drive innovation and improve market advantage.

Cloud Optimisation is part of the ongoing management and maintenance of a cloud infrastructure.  It consist of two disciplines:

  • Cloud Resource Optimisation
  • Cloud Cost Optimisation


When running at scale in the public cloud, having the resources to continually assess every workload, ensure they are using the right instance family and type, that you are procuring the right subscription and it is configured correctly is a near impossible task. Even if you do manage this today, keeping track of everything the cloud vendor offers (AWS has over 1.7M possible configurations alone) and how it applies to your workloads, becomes a major challenge.

Maple Networks can help you choose the right platform to deliver benefits such as:

  • Improved application stability, performance and availability
  • Significantly reduced cloud costs
  • Automated, Continuous Optimisation as your applications’ demands evolve and change
  • Operational excellence to select instances and deploys applications in the cloud
  • Integration into your DevOps CI/CD pipeline, adding Continuous Optimisation (CO)


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To find out more about Cloud Optimisation