How many workflows are your teams running in the cloud? Are you wasting money on forgotten resources you deployed in public clouds? When on-premise servers were king, the operational and capital costs (CAPEX and OPEX) of traditional data centers were easy to calculate and well-known to accountants.

You paid for the data center space, racks, infrastructure, installation, and the number of applications running in your organization. You could break down the Total Cost of Ownership (TCO) relating to the amortized hardware and software per workload – even calculating what each person costs within the organization.

However, the surge in popularity of public cloud computing, on-demand resources, and SaaS have made application-related CAPEX costs all but disappear. With cloud services, you only pay for what you use when you use it – making it much more cost-effective along with many other significant operational advantages.

But migrating to cloud-based resources introduces a new cost challenge – what happens when someone with 10s, 100s, or 1,000s of workloads running leaves the company? And what about shadow IT? When employees who circumvent the IT department to get access to additional tools and resources, these need to be paid for too. You see them only after the fact – when you pay expense reports submitted by your devs – and you cannot track or control them.

Behind The Light of IT

While it’s easy to celebrate the advantages of cloud computing and its cost-effectiveness; when you don’t have oversight of what’s being used, these costs can quickly snowball out of control.

IT teams can easily spend company budget monies without a care in the world (it’s not their money, after all!). But costs often rack up for another reason – because people forget things. It’s a human foible for sure, but for enterprises or service providers with 1,000+ workloads, the cost of forgotten or under-utilized resources adds up quickly – often amounting to millions of wasted dollars every year!

It’s an urgent issue for many organizations that needs to be addressed. That’s why it’s vital that CTOs set budgets, resource quotas, and controls to keep an eye on these costs.

How To Control Resource Costs

The key to controlling public cloud costs is using advisory tools (such as AWS’s Trusted Advisor, Microsoft’s Azure Advisor, or IBM Cloud Cost and Asset Management). These are disparate tools. We have coupled them to our own soon-to-be-launched hybrid/multi-cloud advisory service, the CloudController Advisor, which is an extensive cost and analytics module to automate cost control actions and cloud resource usage. This automated tool alerts you to turn resources off when they aren’t in use via manual action or policies, or suggest those to delete – saving you money in the process.

Next to Public Cloud resource usage, the Advisor software can track on-premise resource allocation and costs; making use of CloudController’s very granular pricing models for resources provisioned and deployed from our Service Catalog Manager. With these services, not only do you get ultimate control over cloud and hybrid cloud deployment – you’ll also gain complete visibility of all ongoing and existing resources in use.

When you see other underperforming resources – you can get rid of them immediately. Or you can set automated policies to delete servers that haven’t been used or backed up for a chosen number of days. Other metrics allow you to customize the policies you want to set.

You can also choose to set budget limitations for every developer, project group, department, etc., alerting them and a manager when they’re approaching set thresholds, or have reached their usage or cost ceiling. If a higher budget or resource quota is needed, it can be instantly requested and then approved or denied.

Don’t let your company waste millions. Regain complete financial control by monitoring your on-premise and public cloud resources, using powerful advisory and hybrid cloud management tools.