A Framework for Measuring and Maximizing Cloud ROI

Solve real problems and take your VMware SDDCs to the next level with full enterprise storage capabilities, delivered in a fully-managed cloud model. Get comprehensive file, block, and object support for private, public, and hybrid clouds. Attend this webinar to learn more and find out how easy it is to get started.

Managing requests and maintaining up-to-date IT assets and services are the two most important roles of a service-driven IT organization. Without the proper tools and processes - approvals workflows, a service catalog, and the ability to manage ownership and account for resource consumption - IT organizations will struggle to respond quickly, maintain their portfolio of IT services, and manage cloud budgets. But what exactly are the right tools and processes that will deliver an updated service-driven IT model?

Data lakes based on Hadoop technologies have proved themselves valuable in mission-critical use cases such as data warehousing, advanced analytics, multichannel marketing, complete customer views, digital supply chains, and the modernization of data management.Most Hadoop users are committed to the data lake method of managing data, but they are limited by Hadoop shortcomings in key areas such as cluster maintenance, administration cost, resource management, metadata management, and support for SQL and other relational technologies. Many view cloud-based solutions as the optimal replacement for their data lake, but they are not ready to make such a significant change. The truth is: they don't have to, as the two technologies can coexist.

Amazon EC2 Auto Scaling lets you provision and automatically scale compute capacity across purchase options and instance families in a single Auto Scaling group (ASG) to optimize scale, performance, and cost. Watch this webinar to learn how you can now easily include Spot Instances with On-Demand and RIs in a single ASG to instantly save up to 90% on compute.