Data Science Economy 2020: Data Vs. Covid
2+ keynotes / 15+ talks
delivered from experts & practitioners

15th – 19th of June 2020, Online, Zagreb, Croatia
CloudVane product development manager and Cloud Architect at Neos, Croatia

Dean Mišić


CloudVane product development manager and Cloud Architect at Neos with over ten years of experience, responsible for bridging the gaps between complex business problems and solutions in the cloud. Hands-on experience related to wide range of areas from operating systems, networking, security, scripting to Big Data and Oracle engineered systems. Soft skills allow me to manage tech teams, including DevOps engineers and developers to ensure that the right technology or technologies are being built. Over the last three years, I’ve been a proud member of Neos, leading the digital transformation to Oracle Cloud, with multiple successful finished projects and a couple of new ones in the pipeline. Happy to be in the centre of it all at a time when cloud technology is predicted to grow exponentially.


How to predict and optimize cost in multi-cloud environment?

Migration to the Cloud environment is a global trend, with certain challenges related to this way of using resources and paying based on consumption having had arisen at its very early stage. As cloud infrastructure becomes more complex, even involving different cloud providers, cloud costs become more difficult to track, and the control of cloud environment more laborious.

CloudVane was developed based on FinOps principles to help organizations tackle these challenges as easy as possible. It gathers cloud cost and utilization data into vast data sets which enable overall visibility so you can better manage your cloud through cost allocation, reports, automation and other features. Broad use of AI/ML provides some of the main features which are critical for achieving optimization, such as predictions, recommendations and anomaly detection. Complex data science models use historical spending patterns to provide predictions on future cost trends. Anomaly Detection will detect and notify on any unpredicted changes in your cloud. CloudVane uses monitoring data and feeds it into predictive models to provide a list of optimal compute and database rightsizing recommendations.

During the presentation, we will demonstrate key concepts and actual usage scenarios that best reflect problems and business benefits that a solution such as CloudVane brings to the end user.