Hybrid cloud management: 6 challenges IT teams need to solve in 2026
In 2026, a hybrid cloud is no longer something organizations are working toward; it's already where they are. According to Forrester's The State Of Cloud Series 2026, the vast majority of enterprises across major markets, including the United States, India, Australia and New Zealand, Canada, and the Asia-Pacific region, are running some form of a hybrid cloud, combining public cloud platforms with private infrastructure, colocation data centers, and sovereign cloud providers.
So, the question around hybrid clouds has fully shifted from "Should we do hybrid?" to "How do we run it well?"
Running it well is harder than it sounds. Each environment comes with its own tools and requirements. A deliberate approach to manage it all together is needed, and that is what hybrid cloud management is for. For IT teams, getting hybrid cloud management right should be one of the most pressing priorities in 2026.
What is hybrid cloud management?
Hybrid cloud management is the practice of monitoring, controlling, and governing an organization's IT workloads and infrastructure across multiple environments, including public and private clouds and on-premises data centers.
In practice, hybrid cloud management means tracking performance, enforcing security policies, managing costs, and ensuring compliance in one place. If it is done right, hybrid cloud management enables organizations to keep sensitive or regulated workloads on private or on-premises infrastructure while using a public cloud for scalability and innovation. All this can be done without losing visibility over either.
The benefits of hybrid cloud management
Hybrid cloud management creates benefits for organizations, such as the following:
Flexibility and scalability
IT teams can scale resources up or down based on actual demand and place each workload in the environment best suited for it.
Better resource utilization
Load balancing across environments becomes possible, which means you can optimize performance without overprovisioning any single platform.
Streamlined operations
Repetitive tasks are automated, reducing manual intervention that can introduce errors at scale.
Consistent security and compliance
Policies can be enforced consistently across public cloud, private cloud, and on-premises environments, rather than being interpreted differently by each team managing each environment.
Unified visibility
Monitoring becomes proactive rather than reactive, with a full view of the environment rather than siloed dashboards that show only part of the picture.
The challenges of hybrid cloud management
Here are six challenges that define hybrid cloud management in 2026:
1. Limited visibility and control
When organizations combine private or colocation data centers with public cloud platforms, each environment tends to accumulate its own monitoring tools, dashboards, and governance processes. Over time, this creates silos. IT teams need to switch between multiple interfaces to get a complete picture of what's running and what it costs.
Organizations need a single pane of glass covering public cloud, private cloud, and on-premises environments. Without it, governance becomes inconsistent, cost tracking is incomplete, and security enforcement has blind spots.
2. Cloud cost sprawl and unpredictable spending
Before AI, a lot of organizations were already comfortable with public clouds because of the reasonable pricing and flexibility. However, when AI came into the picture, things got more expensive.
AI workloads are cost-heavy on public clouds. GPU instances used for AI workloads can cost significantly more than standard compute instances. When AI inference runs continuously at scale, serving thousands or millions of requests, the bill increases faster than most teams expect. AI costs are harder to predict than traditional workload costs because usage patterns are often irregular.
Yet AI costs are just one side of the problem. Shadow IT, orphaned resources, overprovisioned instances, and weak tagging discipline also continue causing the bills to exceed forecasts.
For some organizations, this problem pushes them toward cloud repatriation. It doesn't mean they shut down their public cloud entirely; it's more about deciding which workloads stay in the public cloud and which ones move to private or on-premises environments.
3. Balancing sovereignty, performance, and cost control
In 2026, the question is no longer whether organizations should implement a hybrid cloud. A hybrid cloud is no longer a transitional stage; it is the steady-state operating model. Now, the question is how to maintain the right balance between sovereignty, performance, and cost control in a hybrid cloud.
So, it is imperative that organizations adjust their hybrid cloud strategy to ensure a balance between the three aspects. However, that is easier said than done because the three tend to work against each other.
Prioritizing full sovereignty often means restricting workloads to platforms from local or domestic providers that may have more limited infrastructure, so performance takes a hit. Chasing peak performance usually means using large hyperscalers with global networks, but data may cross national borders, creating sovereignty risks. Using a single provider for cost efficiency can result in vendor lock-in, which weakens both sovereignty and flexibility.
4. Security and identity management
In a hybrid environment, each connection point is a potential vulnerability because data moves constantly between on-premises systems and the public cloud. Alongside that, there is an identity challenge because multiple identity systems run at once. It is hard to manage who can access what across every environment.
According to Forrester's The State Of Cloud In Asia Pacific, 2026, 58% of enterprises are actively expanding their cloud-native security adoption, and 32% cite cloud security and governance as a current top investment. This shows how seriously organizations are taking this challenge as hybrid environments expand.
5. The automation and orchestration gap
In practice, hybrid cloud environments often end up with two different sides. Cloud workloads are managed through modern DevOps practices, while on-premises systems are still handled manually.
This happens because automation tools built for public cloud environments rarely extend cleanly to on-premises infrastructure. A policy applied in the cloud may not be reflected on premises and vice versa. This can also lead to configuration drift when different tools are used to manage each environment.
6. The cloud talent shortage
When it comes to talent, organizations are no longer just looking for people who can migrate things to the cloud. That era is over. Now, the focus has shifted to operating cloud sustainability at scale. This requires a different skill set, including cloud-native engineering, FinOps, AIOps, MLOps, security, and observability.
The gap is real across regions. Forrester's The State Of Cloud In Asia Pacific, 2026 found that 79% of cloud teams in the APAC region have less than half of their IT workforce holding cloud certifications. Forrester's The State Of Cloud In Canada, 2026 specifically flags cloud engineering roles as a national labor shortage in Canada's Job Bank.
How to address the challenges in hybrid cloud management
Here's what organizations can do to address each of the six hybrid cloud challenges:
1. Consolidate monitoring across hybrid environments
Organizations need visibility into what's happening across their cloud environments in order to govern them effectively. As the saying goes, you cannot govern what you cannot see. To achieve this, a special dedicated cloud team like a cloud center of excellence needs to be established. This team should be responsible for standards, tools, and governance across all environments.
Having an observability tool is also important. All cloud environments need to be visible on a single monitoring platform to provide a unified view across on-premises, private cloud, and public cloud environments.
ManageEngine OpManager Nexus helps address this challenge by bringing hybrid cloud monitoring onto a single platform. It provides visibility across on-premises infrastructure, private clouds, and public cloud environments, enabling IT teams to monitor their entire hybrid cloud infrastructure without having to switch between multiple dashboards.
2. Implement FinOps as a core discipline
FinOps is becoming a standard operational practice for managing cost sprawl and unexpected spending. For AI-specific costs, it is wise to establish a workload placement strategy. Organizations can decide up front which workloads belong where based on cost profiles, rather than defaulting everything to the public cloud and figuring out the bill later. For example, AI inference can run on local GPU infrastructure, while AI experiment or training workloads can use a public cloud.
ManageEngine CloudSpend supports this by giving teams visibility into cloud spending, including for AWS and Azure. Teams can track spending across accounts, projects, departments, and cost centers, making it easier to understand where the money is going and who is responsible for it. CloudSpend also supports budgets, forecasts, anomaly detection, and budget alerts, helping teams identify unexpected spending and take action before costs get out of control.
3. Set clear rules for workload placement
While balancing sovereignty, performance, and cost control is challenging, organizations can make it easier by defining workload placement principles early and documenting them. Organizations can decide up front which workloads are sovereignty-first, performance-first, or cost-first. So, when a new project comes in, teams don't have to make the decision ad hoc.
Workloads that contain sensitive data should follow the sovereignty-first principle. In countries where data protection regulations require greater control over how data is stored and handled, local data residency is the preferred choice for many organizations.
Workloads that require low latency or high throughput, like real-time online gaming, can use hyperscalers with global networks to ensure high performance. Meanwhile, workloads that are not time-sensitive and do not contain sensitive information might be pushed to public clouds using on-demand or reserved instance pricing models.
4. Invest in cloud security from the start
Security is important in hybrid cloud environments because data is constantly moving between on-premises systems and public clouds. Organizations need consistent security policies and better visibility into security events across their environments.
ManageEngine Log360 helps teams monitor security across hybrid environments by collecting and analyzing logs from on-premises and cloud sources, including Active Directory (AD), Microsoft Entra ID, Microsoft 365, and cloud applications. It provides centralized visibility to help teams detect suspicious activity and investigate security incidents.
For identity and access management, ManageEngine AD360 helps organizations manage identities, access, and authentication across AD and cloud environments.
5. Standardize operations before adding more complexity
Before adding more automation tools, organizations should first standardize how their environments are managed. This is especially important in hybrid cloud environments, where cloud and on-premises systems are often managed using different tools and processes.
Standardized, repeatable processes can help reduce manual work, prevent configuration drift, and make automation easier to implement across environments. Organizations should define clear operating processes and policies that can be applied consistently, rather than managing each environment differently.
6. Build internal skills rather than scaling your head count
It is important to have a dedicated cloud team in an organization, but it doesn't have to be a big team. According to Forrester's The State Of Cloud In Canada, 2026, Canada is a good example of how small teams can still manage complex hybrid environments. More than half of the respondents said that at least 30% of their IT workforce has cloud certifications, even though many teams are relatively small.
However, to make this possible, the team needs to have the right skills and standardized processes in place. Organizations should focus on improving the skills of their existing employees, including valuable cloud skills like cloud engineering, FinOps, and observability.
The bottom line
The good news is that the challenges organizations are encountering with hybrid clouds in 2026 are manageable. The solutions are consistent: Organizations need to centralize visibility, standardize operations, enforce governance consistently, and build the right habits around costs and security before the environment gets any more complex.
ManageEngine's integrated suite of IT management tools is built to help organizations address these challenges. It covers monitoring, cost optimization, identity governance, and security across hybrid environments, with tools designed to work together.
If you are ready to get more control over your hybrid cloud environment, you can start with a free, 30-day trial at manageengine.com.