DI cut cloud spend by 40%.

Automating cloud cost management, making continuous cloud cost savings a reality.

About.

Northern Europe’s leading media technology company were able to cut manual work and cloud spend while accelerating development.

Distribution Innovation (DI) is the leading technology company for media logistics in Northern Europe, and is a part of Schibsted. DI develops technologies for companies in need of solutions for subscription services or logistics, covering the entire value chain from order to delivery.

DI had embarked on its cloud journey and was ready to take the next step in their digital transformation. But embracing cloud cost management was bringing its challenges.

The Challenge.

Every month, DI were losing significant time to manually calculating chargebacks and showbacks. Carried out by a member of the development team, this was a strain on the time this skilled professional had for actual development.

Manually figuring out who was responsible for what cloud costs and then invoicing the right people took hours and hours of work – every single month. Because of this, it was being carried out infrequently and not to the level of granularity required.

Cloud costs were left largely unallocated. Departments’ cloud cost responsibilities were unclear. Aligning on cloud activities was difficult.

Without automation, it was difficult to understand spend, let alone find the time and resources necessary to manage or optimise cloud costs.

The Need.

To enable effective optimisations, DI first needed cost visibility to get insights into where costs were being incurred – at department, application and resource level.

DI was aware of cloud spend waste, and wanted to employ rightsizing to combat this. But first, they needed a proper understanding of cloud spend.

Better team alignment was fundamental to future cloud success. DI needed the ability to accurately distribute cost responsibilities across departments.

Enter IBM Multicloud Accelerator.

 

 

The Solution.

IBM Multicloud Accelerator automates cloud cost management, making continuous cloud cost savings a reality.

With the tool, DI has full control over their cloud spend, with teams aligned to maximise optimisations through an elimination of manual work and clear transparency in consumption. 

Automation saved DI enough hours that they were able to hire another engineer to strengthen their IT capabilities. Without the financial and resource burden of manually calculating cloud costs, DI were able to better harness the cloud’s potential to accelerate development. 

Developers are actually incentivised to balance performance with waste-reduction through IBM Multicloud Accelerator’s GreenOps feature. This feature shows the carbon footprint of resources, which adds a sustainability dimension – both environmental and economic – to their cloud management activities. 

With a rapid onboarding process managed in two-week sprints with the Nordcloud team, DI were able to achieve significant cloud savings extremely quickly.

“This is crucial for us when it comes to cloud visibility and savings. Orphan resources under ‘Savings suggestions’ and rightsizing have been key features since we got onboarded. It’s helped us speed up the process and take action immediately.”

Terje Johansen, Backend Developer

Distribution Innovation (Schibsted)

Insight

Visibility

The dashboard provided the single source of truth across all applications and usage.

Insight

Deeper insight by application and department is quick and easy to find – meaning costs can be distributed accordingly.

Clear view of cloud spend

Value

Money saved was put towards hiring an additional member of the development team.

Speed

Onboarding was fast and simple, meaning it took just ten weeks to cut cloud spend enormously.

40%

reduction of cloud spend in 10 weeks

1 FTE

hours saved through automation

97

cloud applications onboarded

Distribution Innovation case study

Delivering more value for DI.

Want to see what else we’ve been up to with DI? Find out how we helped build an innovative self-serve customer data analytics platform here.

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