Our customers

Why our customers love CloudBolt.

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BY THE NUMBERS

What our customers are seeing with CloudBolt

CloudBolt customers see real, measurable impact, usually within 30 days.

35%

reduction in cloud waste.

80%

of common cloud deployments automated.

30%

increase in operational efficiency.

2mo

Time it takes for CloudBolt to pay for itself.

FEATURED USE CASE

Data#3

How Data#3 accelerates service value and increases cloud billing efficiency with CloudBolt.

0 1

Challenge

In 2021, Data#3’s Cloud Management team faced a significant challenge; the well-known platform they leveraged to support cloud resale and cost management was not hitting the mark. As their services advanced, the platform’s limited feature sets and functionality became apparent.

0 2

Solution

With data processing at scale, advanced automation features, and flexible platform customization tools, CloudBolt proved to be the partner they were looking for.

0 3

Results

With their adoption of CloudBolt, Data#3 is well positioned to bring their cost service offerings to support more customer outcomes across Azure and AWS. In addition, the roll-out of CloudBolt’s Cloud Management Platform will add self-service and automation capabilities to the business.

Shortcomings of existing tools

Data#3’s existing platform had limited reporting and optimization capabilities and a lack of self-service features, leading to manual and inefficient processes.

Finding the right partner

In his search for the perfect platform, Phil Redmond of Data#3 said, We were surprised at how few vendors offer both comprehensive infrastructure cost management together with automation and even governance capabilities.

Finding immediate value

“CloudBolt is going to help us move away from the manual processes we have in place and drive efficiencies through automation. This is better for staff, better for customers and better for business performance”.

Shortcomings of existing tools

Data#3’s existing platform had limited reporting and optimization capabilities and a lack of self-service features, leading to manual and inefficient processes.