Native Data Protection for VMs on OpenShift: Unlocking Synergies Between Trilio for Kubernetes and Red Hat OpenShift Virtualization

In today’s hybrid cloud and container-native environments, virtualization plays a critical role. Red Hat OpenShift Virtualization bridges the gap between traditional virtual machines (VMs) and containerized workloads, offering enterprises a unified platform for modern applications. However, managing and protecting both VMs and containers in such complex environments requires robust data protection strategies. This is where Trilio for Kubernetes comes into play. By leveraging the power of Trilio alongside Red Hat OpenShift Virtualization, enterprises can unlock significant synergies to protect virtualized workloads natively and effectively. 

The Need for Unified Data Protection in Hybrid Environments 

As organizations increasingly adopt hybrid IT strategies, they often find themselves managing a mix of legacy VMs and containerized applications. OpenShift Virtualization allows enterprises to run these workloads side by side, but traditional data protection tools may not seamlessly support both. Native integration between Trilio and Red Hat OpenShift offers a streamlined solution that reduces complexity while ensuring resilience. 

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Which of the following best describes how you currently monitor and manage systems across your hybrid cloud environment?(Required)

Multiple separate tools for different environments

Multiple separate tools for different monitoring and management functions

Single consolidated dashboard

Custom built monitoring and management solution

No full monitoring and management solution

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How valuable would it be for your monitoring and management solution to incorporate predictive analytics to help you identify and address system issues that are critical and not waste time or effort working through all the data and “noise” that is not critical?(Required)

Extremely valuable

Moderately valuable

Somewhat valuable

Slightly valuable

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How do you most typically address potential system issues BEFORE they impact your operations?(Required)

Automated workflows and playbooks to remediate potential issues as soon as they are detected

An orchestrated response process that leverages automation, AI, and human expertise to rapidly respond to potential issues

Advanced monitoring tools such as predictive analytics and anomaly detection to proactively identify and address potential issues

Respond to issues as they arise, using manual processes and troubleshooting techniques

A combination of automated remediation, orchestrated response, and/or proactive monitoring to address potential system issues

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What methods does your organization use to control and monitor cloud/IT spending?(Required)

Centralized procurement processes

Pre-approved budget thresholds

Automated cost monitoring tools

Department-level spending controls

Regular cost audits and reviews

Cloud cost optimization platform

Approval workflows for resource provisioning

Native financial operations tools provided by the cloud provider

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Which methods do you rely on most to detect security vulnerabilities in your systems?(Required)

Automated scanning tools

Manual assessments

Vendor notifications

Threat modeling (for early detection)

None of these

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What are the TWO most common ways you prioritize vulnerabilities to address within your environment?(Required)

Based on potential impact

Based on exploitability

Regulatory compliance requirements

Based on CVSS scores

Risk-based analysis of multiple factors

First-in-first-out approach

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How do you typically handle system updates and security patches?(Required)

Automated updates and patches

Manually review and apply updates and patches on a regular schedule

A combination of automation and manual review

Apply updates and patches on an as-needed basis.

Outsourced update and patch management

No defined process

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Data protection becomes especially critical when dealing with mission-critical workloads across both VMs and containers. A unified approach helps to ensure consistency, compliance and streamlined recovery, regardless of the type of workload. 

Synergy Between Trilio and OpenShift Virtualization: From ITOps to DevOps to Platform Engineering 

Seamless Integration and Automation 

One of the standout features of this partnership is the seamless integration of Trilio’s data protection capabilities within the Red Hat OpenShift ecosystem. Trilio for Kubernetes is deployed as an operator, making it a native part of the OpenShift console. This integration simplifies workflows, allowing solutions architects to manage backup and recovery operations directly from the OpenShift interface. The automation capabilities, powered by Red Hat’s Ansible Automation Platform, enable event-driven and policy-based frameworks for protecting applications and data. This not only reduces manual intervention but also ensures consistent and reliable data protection. 

Intelligent Recovery and Disaster Resilience 

Trilio’s ability to natively support VMs running in OpenShift Virtualization offers a comprehensive solution for disaster recovery and backup management. Its intelligent recovery capabilities are a game changer for disaster recovery strategies. By leveraging Trilio, organizations can build multi-cloud disaster recovery plans that enable quick recovery to the same or different clusters, whether on-premises or in the cloud. This flexibility ensures minimal downtime and business continuity in the face of unexpected outages or cyberattacks. Additionally, Trilio’s ransomware protection features add an extra layer of security, safeguarding critical data against malicious threats. 

Granular, Application-Centric Backup with File-Level or Multi-Cluster Recovery 

Organizations need to balance the granular recovery needs of applications with the holistic management of infrastructure. Trilio’s application-centric approach aligns with Kubernetes’ principles, enabling ITOps and DevOps to protect VMs at the application level through file-level or cluster-wide recovery. This ensures faster recovery in case of failures. For multi-tier applications, this capability ensures that all related components — whether they reside in containers or VMs — can be backed up and restored consistently. 

Multi-Cloud and Hybrid Mobility 

A key concern for organizations designing hybrid infrastructures is ensuring flexibility and portability across multiple environments. Trilio for Kubernetes enables organizations to move workloads — whether containerized or virtualized — across on-premises, cloud or hybrid environments without disruption. With Trilio, architects can snapshot, backup, restore and migrate VMs without introducing additional complexity to their Kubernetes clusters. This ensures data sovereignty and scalability as business needs evolve, allowing architects to future-proof their designs. 

Realizing the Benefits of Synergistic Data Protection 

By natively supporting OpenShift Virtualization, Trilio offers solutions architects a range of benefits, including: 

• Simplified Management: Through native integrations, the complexity of managing multiple backup tools is reduced, allowing architects to manage everything from a single platform. 

• Faster Time to Recovery: With built-in tools and features such as Trilio’s Continuous Restore for VMs and containers, the time required to recover from failures or outages is minimized, reducing downtime for mission-critical applications. 

• Scalability: As workloads evolve, scaling data protection becomes easier. Trilio’s ability to work across on-premises and cloud environments ensures that protection strategies grow with the organization. 

For enterprises looking to migrate and pursue new virtualization strategies such as Red Hat OpenShift Virtualization, the synergies between Trilio and Red Hat will undoubtedly play a crucial role in achieving operational efficiency and resilience. 

The integration between Trilio for Kubernetes with Red Hat OpenShift Virtualization creates a powerful solution for protecting VMs and containers across diverse environments. Architects can now implement a cohesive, application-centric data protection strategy that spans workloads, thus driving better performance, faster recovery and greater flexibility.