10 Common Challenges in OpenShift Adoption and How to Overcome Them

OpenShift

5 MIN READ

November 17, 2025

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Overcoming OpenShift Adoption Challenges_ A Comprehensive Guide

Adopting OpenShift promises enterprises a powerful way to manage containerized applications, automate deployments, and scale seamlessly across hybrid and multi-cloud environments. Yet, many organizations discover that transitioning to OpenShift is not just a technology change โ€“ itโ€™s a journey filled with challenges.

From organizational resistance and skill gaps to complex configurations, security concerns, and integration with legacy systems, these hurdles can slow down adoption and impact ROI if not addressed effectively. Understanding these common challenges and knowing how to overcome them is key to ensuring a smooth and successful OpenShift deployment.

In this blog, weโ€™ll dive into the most frequent challenges organizations face when adopting OpenShift and share practical strategies to tackle them. This will help your teams fully harness the power of this enterprise-grade platform.

People and Organizational Challenges

1. Resistance to Change

Transitioning from traditional IT practices to a containerized, cloud-native environment can be met with resistance. Teams accustomed to legacy systems may view OpenShift as complex or unnecessary, slowing down adoption and project momentum.

Solution

Implement a structured change management strategy. Engage stakeholders early, communicate the business and technical benefits of OpenShift, and provide hands-on training. Emphasize improvements such as faster deployment cycles, simplified application management, and improved scalability to highlight tangible value.

2. Skill Gaps

OpenShift adoption demands expertise in Kubernetes, containerization, and DevOps practices. Without these skills, organizations risk misconfigurations, deployment delays, and underutilization of the platformโ€™s capabilities.

Solution

Invest in training programs, certifications, and workshops for your team. Partner with Red Hat or certified providers for mentorship and guidance. Fostering a culture of continuous learning ensures your team can confidently manage and scale OpenShift environments.

Also read: Understanding OpenShift Architecture: A Beginnerโ€™s Guide

Technical and Operational Challenges

3. Complexity in Configuration

OpenShiftโ€™s flexibility allows for powerful configurations, but this can also be overwhelming. Out-of-the-box setups may not be production-ready, leading to performance bottlenecks or security gaps.

Solution

Define best practices for configuration management. Customize environments based on organizational requirements, regularly review configurations, and leverage automation to reduce human errors.

4. Security Concerns

Security is a top priority for any enterprise deployment. Misconfigured containers, outdated images, and inadequate access controls can introduce vulnerabilities.

Solution:ย 

Adopt a security-first approach:

  • Implement Role-Based Access Control (RBAC).
  • Scan container images regularly for vulnerabilities.
  • Apply network policies to control traffic.
  • Secure critical components like etcd and secrets management.

Integrating OpenShiftโ€™s built-in security features with third-party tools further strengthens protection.

5. Integrating with Legacy Systems

Many organizations still rely on legacy applications that may not natively fit into containerized workflows. Integrating these systems into OpenShift can be complex and risky.

Solution

Use a phased migration approach. OpenShift Virtualization allows enterprises to run traditional virtual machines alongside containers, providing a smoother transition and minimizing operational disruption.

Also read: OpenShift vs Kubernetes: A Detailed Guide

Infrastructure, Scalability, and Reliability Challenges

6. Resource Management and Autoscaling

Inefficient allocation of CPU, memory, and storage resources can lead to performance bottlenecks, downtime, and unnecessary operational costs.

Solution

Implement resource quotas and limits for namespaces and workloads to prevent over-provisioning. Utilize Horizontal Pod Autoscaling (HPA) to dynamically adjust resources based on real-time demand, ensuring applications run efficiently under varying workloads. Combined, these strategies optimize cluster performance while controlling costs.

7. Multi-Cloud and Edge Deployments

Managing OpenShift clusters across multiple cloud providers or edge environments introduces challenges such as inconsistent networking, storage disparities, and security complexities.

Solution

Leverage OpenShiftโ€™s multicloud and edge capabilities to standardize deployments across environments. Use unified management tools to simplify monitoring, enforce policies consistently, and streamline application delivery, ensuring reliable operations regardless of location.

8. High Availability and Monitoring

Distributed workloads can make it difficult to maintain uptime and quickly identify issues, risking service disruptions.

Solution

Design applications for fault tolerance and redundancy. Utilize OpenShiftโ€™s ReplicaSets and StatefulSets to automatically manage replica pods, ensuring continuous availability. Integrate monitoring and observability tools such as Prometheus, Grafana, and OpenShiftโ€™s built-in metrics to gain real-time insights into cluster health, application performance, and potential issues, enabling proactive troubleshooting.

Governance, Compliance, and Cost Challenges

9. Regulatory Compliance

Ensuring that containerized environments comply with industry regulations such as GDPR, HIPAA, or PCI DSS is critical but can be complex due to distributed workloads and dynamic deployments.

Solutionย 

Implement policy-driven controls and automate compliance validation using OpenShift compliance operators. Regular audits and continuous monitoring help ensure adherence to standards while minimizing manual oversight and reducing the risk of violations.

10. Data Governance

Managing data across multiple clusters and teams can create challenges in access control, data residency, and lifecycle management, particularly in hybrid or multi-cloud setups.

Solution

Establish clear data governance policies and enforce them using OpenShift features such as namespaces, role-based access control (RBAC), and network policies. This ensures that sensitive data is properly secured, access is controlled, and compliance requirements are consistently met across environments.

Final Wordsย 

Adopting OpenShift can transform how organizations deploy, manage, and scale applications, but it comes with its own set of challenges. By understanding these hurdles and applying best practices in training, configuration, security, and resource management, businesses can ensure a smooth and successful OpenShift deployment.

At Ksolves, we provide specialized OpenShift Consulting Services to help organizations overcome these adoption challenges. From strategic planning and architecture design to hands-on implementation and training, our experts guide businesses in leveraging OpenShiftโ€™s full potential. We ensure enhanced scalability, security, and operational efficiency.

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AUTHOR

Ksolvesdev
Ksolvesdev

OpenShift

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