Book Image

Technology Operating Models for Cloud and Edge

By : Ahilan Ponnusamy, Andreas Spanner
Book Image

Technology Operating Models for Cloud and Edge

By: Ahilan Ponnusamy, Andreas Spanner

Overview of this book

Cloud goals, such as faster time to market, lower total cost of ownership (TCO), capex reduction, self-service enablement, and complexity reduction are important, but organizations often struggle to achieve the desired outcomes. With edge computing gaining momentum across industries and making it possible to move workloads seamlessly between cloud and edge locations, organizations need working recipes to find ways of extracting the most value out of their cloud and edge estate. This book provides a practical way to build a strategy-aligned operating model while considering various related factors such as culture, leadership, team structures, metrics, intrinsic motivators, team incentives, tenant experience, platform engineering, operations, open source, and technology choices. Throughout the chapters, you’ll discover how single, hybrid, or multicloud architectures, security models, automation, application development, workload deployments, and application modernization can be reutilized for edge workloads to help you build a secure yet flexible technology operating model. The book also includes a case study which will walk you through the operating model build process in a step-by-step way. By the end of this book, you’ll be able to build your own fit-for-purpose distributed technology operating model for your organization in an open culture way.
Table of Contents (13 chapters)
1
Part 1:Enterprise Technology Landscape and Operating Model Challenges
6
Part 2: Building a Successful Technology Operating Model for Your Organization
8
Chapter 6: Your Distributed Technology Operating Model in Action

The challenges and limitations of bimodal IT in the distributed future

With digital transformation and cloud adoption accelerating in the last few years, all the corresponding changes that IT organizations are implementing to support this has added new unforeseen complexities that bimodal IT is not built to handle. One aspect that was highlighted by many organizations was that bimodal IT is not new. Irrespective of Gartner creating a model and guidelines, many organizations implemented bimodal IT based on the model they were already familiar with by building two separate teams and operations model, which created two incompatible and often rivaling visions and priorities that organizations were trying to get away from in the first place. As early as 2017, International Data Corporation (IDC), in their 2017 CIO outlook, predicted that by 2019, the CIOs who had implemented bimodal IT will accumulate a crippling technical debt, resulting in spiraling complexity, costs, and lost credibility...