The overall goal of cost control and long-term cloud cost management in cloud computing like every other business is to optimize cloud cost using available financial resources, getting the most out of every corporate pound or dollar. Most people think that technology is the key to driving success in the cloud, but, in reality, it all comes down to controlling costs. Many IT teams find that their cloud costs grow less efficient as "clutter" builds up in their accounts.
For effective cost control in cloud computing services, it is quite important to analyze and manage cloud cost and leverage cloud cost management tools to help discover the cause(s) of these inefficiencies. Unplanned cloud costs are frequently the result of lack of visibility about the current consumption patterns and past trends, nonstandard deployments that come from unclear or absent development processes, poor organization, or the absence of automated deployment and configuration tools. By contrast with on-premise infrastructure, which is financed by fixed upfront investments, cloud consumption is an everyday operational expense. This requires a huge shift in your approach to operational management, where optimizing cloud cost is as important as optimizing performance.
CLOUD COST MANAGEMENT BEST PRACTICES
1. Visibility on Cloud InventoryAccording to a recent survey of IT professionals, 75% report, they lack visibility of their cloud resources. This lack of visibility into resources in the cloud can lead to poor management of those resources. Effective cloud cost management begins with an in-depth analysis of your entire infrastructure. And if some resources in the cloud are going unused due to lack of awareness, but the organization is still paying for them, cloud costs will climb unnecessarily – and cut into the infrastructure savings and other financial benefits the cloud can bring. Admins who have access to a single pane of glass and detailed Resource Dashboards are equipped to better organize, manage, and optimize that ecosystem across all accounts, clouds, departments, and teams.
2. Cost AnalyticsComplete visibility on the cloud services used, the actual usage patterns and trends is the first step. No matter your cloud environment, in addition to tracking what you have spent, it is important to project what you will be spending. You need consolidated as well granular details in the form of interactive graphical and tabular reports across multiple dimensions, time frames in a multi-cloud environment to correlate data for analysis and reporting against business objectives.
3. Role Based AccessPermit users to actively manage the infrastructure after setting an Enterprise-wide mechanism that clearly defines permissions and accessibility within the platform. Limit the data and actions visible to users by organizations and roles and identify who launched, terminated, or changed infrastructure, and what they did to take corrective action and control costs.
4. Controlled Stack TemplatesA crucial characteristic of any DevOps team is to enable teams more autonomy over-provisioning resources without the red tape and extensive time delay of traditional IT environments. If it is implemented without the accompanying automation and process best practices, decentralized teams have the potential to produce convoluted and non-standard security rules, configurations, storage volumes, etc. and therefore drive up costs. Using predefined stack templates, Administrators can bake in security, network, and instance family/size configurations, so that the process of deploying instances is not only faster but aligned with the Departmental user’s roles and privileges and ensures only specific Resources are provisioned.
5. Automated Alerts and NotificationsStay on top of day-to-day changes in your environment, and participate in the critical decision by sharing standard and custom built reports with details on cost, usage, performance with stakeholders. Automated alerts and notifications about authorization failures, budget overruns, cost spikes, untagged infrastructure result in increased visibility and accountability.
6. Policy Based GovernanceUse cloud-based governance tools to track cloud usage and costs and alert administrators when the total usage for the account is greater than a certain value or when the total usage for a vendor specific product is greater than a certain value helps control cost. Schedule operational hours to automatically shut down & start virtual machines, and automated events that alert administrators on volumes that have been disassociated from Virtual machines (standalone VMs) for more than a set number of days. Based on event thresholds, remove unused and underutilized resources and avoid unnecessary waste by sizing instances so they deliver a good balance between performance and cost. Avoid cost overrun by using policies to terminate servers created to temporarily handle the massive workloads.
In short, use integrated data sources, metadata, or custom tags to define a set of rules that lead to improved cost management, reporting and optimization.
7. BudgetsDefine and allocate budgets for Departments, cost centers, projects and ensure approval mechanisms to avoid cloud cost overrun by sending out alerts when thresholds are breached. Use the Showback report to chargeback Departments for their cloud usage and limit the cloud cost and use of resources. This alignment of cost with value ensures the anticipated business benefit once the cloud resources are in production.
Take a look at the functionalities available as part of Jamcracker Cloud Analytics Appliance below.
Finally, cloud computing has evolved from providing computing resources for hosting applications as a utility. The steps discussed in this article will enable cloud providers to increase their return on investment while the Quality of Service requirements is being satisfied. Cloud computing technology has great potential to transform the IT industry, there is an ever-increasing market demand, and consequently more competition among cloud computing providers. As a result of continuous demand, there is a need for further research on estimation structure for cloud computing cost elements which would be extremely important to support cloud cost analysis policy development.