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

Learnings From Bimodal IT's Failure

As we discussed in the previous chapter, most organizations have a diverse application landscape with applications distributed across Systems of Record, Systems of Differentiation, and Systems of Innovation, all of which require different types of infrastructure and operating models to support them. To address this, organizations typically have multiple different approaches to managing core business applications and the supporting infrastructure with one model and the more innovative, fast-moving, experiment-focused applications and the supporting infrastructure in another model. Gartner came up with a no-longer popular model for this called bimodal IT, which talks about how organizations can build and manage two different IT operation modes to support the diversified applications and the corresponding infrastructure landscape. As part of this chapter, we will introduce the concepts behind bimodal IT, how it was operationalized, the limitations...