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

Building your operating model for the distributed future

It is common to see organizations implementing different operating models for different environments. That again is mostly due to different change cadences, data sensitivity, and access requirements.

The following different environments can be observed:

  • Workplace/modern workplace – for example, Office suites, document storage, knowledge management, and policies
  • Backoffice environments such as service management
  • Revenue-generating, customer-facing, front-office environments

While the approach provided in this book can be used across all environments, the dimensions examples are geared toward cloud and edge native customer experience (CX), improving revenue-generating services.

In the previous chapters, we have used the term hybrid cloud and edge or hybrid multicloud and edge for clarification purposes. From now on, we will refer to hybrid, multicloud, and edge concerns generally as distributed...