Hybrid and multicloud architectures give IT, network, and cybersecurity personnel the capabilities to manage applications and assets on premises, in a cloud, or in multiple clouds. As organizations seek a greater mix of public, private, and hybrid cloud, new tools will be needed to drive management and automation of these hybrid environments. This will be especially important with the advent of artificial intelligence (AI), which requires collecting and managing data from many different platforms and sources.

Additional drivers of hybrid cloud include digital transformation projects, hybrid work arrangements, automation, and data analytics for both AI and machine learning (ML). Data can reside anywhere. More than ever, organizations want to connect and integrate multiple resources in the cloud and on premises. But this task isn’t simple. The shift to hybrid and multicloud means not only more options, it also means managing pitfalls such as costs, security, and data governance – just to name a few of the challenges.

Top Hybrid Cloud Use Cases and Technologies

Cloud costs are escalating, and more organizations are taking a careful look at how to mitigate them. As more companies are moving more workloads into the cloud, costs can quickly increase by orders of magnitude. More importantly, understanding these cloud costs can be a complex endeavor. Even for companies that have less than 50% of their workloads in the cloud, the costs of maintaining their cloud presence have risen to become a critical C-suite priority.

Futuriom research indicates that in the "year of optimization," hybrid cloud automation is a strong trend that will drive more organizations to explore this technology

A wide range of available data shows that IT managers, CxOs, and boards are interested in moving to hybrid and multicloud architectures. Our own research shows an increased interest in hybrid cloud, as IT managers think about the best ways to optimize and balance their infrastructure in a combination of private infrastructure, public cloud, and edge-compute resources.

How is Hybrid Cloud Delivered?

Futuriom believes these trends will drive the development of a new market for multicloud and hybrid cloud automation tools, including AIOps and NetDevOps. Growing out of the market known as cloud management, multicloud and hybrid cloud management is more sophisticated, requiring understanding and integration with many types of cloud platforms. It also requires specific adjustments in the compute, storage, and networking domains. In this report, we examine how and why organizations will look for better tools to scale and balance infrastructure resources, take advantage of hybrid cloud options such as bursting, and address the governance concerns for both private and public clouds.

Our analysts spent months researching the key trends and suppliers in this market, which we will summarize in this report. In addition, we gathered data on a wide range of hybrid cloud use cases to give a perspective on how this technology is used in the real world. The primary research-gathering process included vendor requests and interviews, interviews with customers, and a look at available public survey data.

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What's in This Report?

Table of Contents

1. Introduction: Why Hybrid Cloud Is on the Rise P. 4

2. Key Drivers of Hybrid Cloud and Multicloud P. 8

Hybrid Cloud for Innovation and Control P. 6
Most Innovative Hybrid Use Cases P. 11

3. Key Technology Elements of Hybrid Cloud Automation P. 10

CCM and FinOps P. 15
NetDevOps: Aiding Hybrid Network Automation P. 15
MCN Tools for Hybrid Networks P. 16
Hybrid Cloud: Managing Compliance and Shadow P. 17
Cloud Services at the Edge P. 17
Storage, Redundancy, and Fault Tolerance P. 18
Cloud Databases for Hybrid Cloud P. 19

4. NetDevOps And AIOps: Why Networks and
Observability Matter More Than Ever P. 20

What Is NetDevOps? P. 20
Elements Required for NetDevOps P. 21

5. Hybrid Cloud Automation and NetDevOps Companies
to Watch P. 24

Companies Included in this Report

All Futuriom reports include a list of companies that we follow in the market. This list is not meant to be an exhaustive list, but rather a list of the companies that our analyst team is tracking closely.

Leading companies included in this report: Aviatrix, CAST AI, CloudBolt, Flexera, IBM (Turbonomic), Kentik, Morpheus, Itential, Nutanix, Platform9, Prosimo, Snow Software, Qumulo, Virtana, VMware, UBiqube, Wasabi, Yotascale, Zesty)

Editor's note: The companies featured in this list were picked by our analysts and companies cannot pay to be on the list.

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