Keeping every application and every scrap of data on the public cloud becomes very expensive; we need to improve our cloud economics. This episode of the Tech Field Day podcast features Vriti Magee, Mitch Lewis, and Alastair Cooke. The belief that data is the new oil has led many companies to retain every piece of data they generate, often in object storage on public cloud platforms. The continuous growth of this data leads to a growing bill from the cloud provider, often with no clear plan in place for recouping the value of the money spent. Generative AI requires training data, which is another reason to retain everything; again, there needs to be value returned to the business. New designs for cloud applications must include data management and managed retention as key criteria. Sustainable, honest designs that enable business change are vital for delivering value back to the business.
Hybrid and Multicloud Applications are a Headache
Hybrid-multi-cloud applications have become part of the enterprise IT landscape, but they give me a headache. This episode of the Tech Field Day Podcast features Barton George, Mike Graff, Mitch Lewis, and Alastair Cooke discussing the dream of a single cloud provider being home to every application in the enterprise has long been morphed. The goal is to optimize applications by using both cloud and on-premises resources, but integrating different platforms is challenging. Services like AWS and Azure have distinct configurations, making a unified management console difficult to achieve. Some companies simplify by using a single cloud, but mergers or unique business needs often disrupt this approach. While hybrid multi-cloud setups improve efficiency, they also bring ongoing IT challenges.
Mitch Lewis
Mitch Lewis is an analyst with The Futurum Group and Signal65 covering all things data and AI.