Cloud adoption often slows down not because of the technology itself, but because of how it’s planned and governed.

Common reasons cloud initiatives stall include:

• Insufficient stakeholder involvement: Business, security, finance, and operations teams are not fully engaged in decisions about cloud strategy and operating environments.
• Unrealistic expectations: Timelines and benefits are overestimated, especially around how quickly teams can adopt DevOps, containers, and related practices.
• Unclear approach to the operating environment: Because the cloud abstracts infrastructure, teams sometimes overlook the importance of the operating system (OS) and platform strategy that underpins workloads.

To understand where you stand today, review how your teams actually prepare and execute cloud projects:

• Workload migration: Are you mostly doing lift-and-shift, or are you replatforming applications to better fit cloud capabilities?
• Cloud architecture: Are you using a single public cloud, or a hybrid cloud model? A recent cloud report notes that about 70% of organizations use at least one public and one private cloud, which adds complexity that needs a clear strategy.
• Container usage: Are containers used for microservices and cloud-native development, or mainly as “lightweight VMs” for monolithic apps? Both patterns exist, but they require different operating models.

By grounding your cloud strategy in a clear view of your operating environment and involving the right stakeholders early, you can reimagine how you adopt cloud in a way that is more consistent, predictable, and aligned with your priorities.

Cloud project success should be measured against clearly defined objectives, not just whether the application is running in the cloud.

Most IT teams move to the cloud to improve:

• Speed of deployment
• Cost management
• Access to applications and data

A project is successful if it meets the objectives you set in these areas. In practice, many projects miss some or all of their targets, often for the same reasons cloud was adopted in the first place—complexity, lack of visibility, and fragmented tooling.

Common pitfalls include:

• Unmanaged cloud costs: Hardware costs may go down, but cloud spending can grow without proper controls. According to a Flexera report, 59% of companies now have a FinOps team focused on cloud cost optimization, which shows how significant this challenge has become.
• Inconsistent operating environments: Using different OSs or configurations across development, test, and production can create operational friction and slow down deployments.
• Manual configuration and operations: Time-consuming manual work reduces the speed and reliability benefits you expect from cloud.

To assess your current projects:

• Review historical performance in deployment speed, cost trends, and user access over time, not just at launch.
• Identify where manual processes, inconsistent OS choices, or lack of cost governance have limited results.

Using a standardized operating environment and clear metrics helps you rethink how you define success and keep cloud projects aligned with business expectations.

Effective cloud strategy starts by connecting business priorities with a realistic view of your technical landscape, including your operating system (OS) choices.

1. Clarify business requirements first

Before choosing tools or platforms, align on:

• Strategic objectives: How does this project support your broader business strategy?
• Key metrics: What will you measure—cost, performance, deployment frequency, user experience—and how?
• Compliance needs: Do you need to meet specific government or industry standards?
• End users: Who will use the application, and what experience do you want them to have?
• Change frequency: How often will the application need updates or new features?

Misalignment between business and technical teams on these points is a frequent reason new projects fail.

2. Understand your technical starting point

Next, assess your current environment as it is today, not as you wish it were:

• Do you need to maintain existing systems while you build new ones?
• Are your workflows defined and well understood?
• Do you have a data management and data security strategy, especially for cloud workloads?
• Are you using multiple clouds or a mix of cloud and datacenter, and how well are they integrated?
• Is your OS optimized for your chosen cloud provider’s infrastructure?

3. Why the OS matters

The OS is the foundation of your platform—whether in your datacenter or in the public cloud. It influences how you:

• Automate processes and deployments
• Manage application lifecycles
• Apply security controls and tools
• Share resources and practices across teams

Standardizing on a consistent OS across environments can help you reimagine how you operate hybrid and multicloud setups. It supports more predictable automation, simpler management, and a more unified approach to security and compliance.

Vendors like Red Hat focus on helping organizations standardize across environments, develop cloud-native applications, and integrate, automate, secure, and manage complex environments with support, training, and consulting. That kind of platform approach can help keep your business goals, technical capabilities, and operating environment aligned over the life of your cloud projects.