WPP created a well-rounded, efficient FinOps practice by applying two technologies: IBM Apptio™ Cloudability (link resides outside of ibm.com) and IBM® Turbonomic®. The Finance team uses IBM Apptio Cloudability to see exactly how much WPP is spending, and where, across all companies and all cloud platforms. The Operations team uses Turbonomic to expedite savings by efficiently optimizing resources by way of AI-driven sizing recommendations and automated resizing actions.
IBM Apptio Cloudability came first. After evaluating it against a third-party offering, WPP implemented the IBM solution and quickly achieved spend visibility across 99% of its cloud landscape, including AWS, Microsoft Azure and Google Cloud Platform (GCP). “It just worked,” says Mr. Manandhar. “It has very good APIs for integrating across the environment. We onboarded hundreds of billing accounts and mapped the usage to stakeholders. It showed us an actual dollar view; an invoice view; a usage view, including anomalies; and an amortized view. And when we compared it with data directly from the cloud suppliers, it was very accurate. That helped rapidly build trust in our recharging ops with our users.”
Next, Mr. Cocks and Mr. Burnett engaged IBM for a Turbonomic proof of value (POV) that revealed enormous savings potential. Mr. Burnett, who’d gained extensive optimization experience in a previous role at another major enterprise, deployed Turbonomic in one of WPP’s Azure tenants and let the solution generate resourcing recommendations. Mr. Burnett selected from the recommendations to execute 1,100 resizing actions, many through Turbonomic automations.
“During the POV, it would have paid for itself ten times over,” says Mr. Cocks.
WPP has now officially deployed Turbonomic in its Azure environment and will phase it into its other clouds. “It’s revealed massive right-sizing potential and a lot of unused resources—too much to scale down manually,” says Mr. Burnett. On his Turbonomic interface, he views thousands of autogenerated sizing recommendations in addition to the cost impact they would have. The Operations team breaks the host of recommendations into manageable chunks and engages with users to identify which actions make good business sense.
Then, the team can resize with great efficiency using the bulk actions functionality in Turbonomic. They’ve basically doubled the pace they achieved in the POV, now taking approximately 1,000 actions every one to two months. “We got rid of 500 unattached disks in one weekend, saving a quarter of a million dollars,” says Mr. Burnett. “You can’t do that without automation. It enables a pace that really helps bring cloud costs under control.”