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Commvault's AI-Powered Cloud Rewind Elevates Multi-Cloud Application Resilience

Commvault has announced a significant advancement in its Cloud Rewind capabilities, expanding its coverage for AI and cloud application resilience across multiple cloud environments. The core of this enhancement lies in providing a single, unified workflow for protecting and recovering resources at cloud scale. This includes continuous discovery of cloud resources, mapping application dependencies, and orchestrating the recovery and rebuild of entire cloud applications, encompassing infrastructure, configurations, and their intricate dependencies, all from a single platform. This move directly responds to the increasing complexity of modern applications that rely on interconnected cloud services. This development is crucial for organizations grappling with the operational overhead and inherent risks of multi-cloud deployments. Modern cloud-native applications are rarely monolithic; they are distributed, leveraging best-of-breed services from various providers. When a cyberattack or outage occurs, manually piecing together the recovery of these interconnected components across different clouds is a slow, complex, and error-prone process. Commvault's solution aims to abstract this complexity, offering a streamlined approach to ensure business continuity. The ability to recover entire application environments, rather than just data, is a game-changer for maintaining service availability and meeting stringent recovery time objectives (RTOs) and recovery point objectives (RPOs). The broader context for this announcement is the accelerating trend towards multi-cloud and hybrid cloud adoption, driven by desires for vendor lock-in avoidance, enhanced resilience, and access to specialized services. However, this flexibility comes with significant management challenges, particularly in data protection and disaster recovery. The industry has seen a proliferation of tools, but often these are siloed by cloud provider or specific service. The demand for unified control planes that can manage, secure, and recover workloads consistently across heterogeneous environments has been a persistent theme. Commvault's expanded Cloud Rewind aligns with this trend, offering a consolidated approach to a traditionally fragmented problem, echoing the need for integrated solutions in an increasingly distributed IT landscape. The 2026 State of Enterprise Cyber Resilience report highlights that recovery from cyberattacks often takes over 4.5 days on average, underscoring the critical need for more efficient recovery mechanisms. In practice, this means DevOps and SRE teams can shift their focus from building bespoke recovery scripts for each cloud service to leveraging an automated, intelligent platform. This reduces the burden of maintaining complex recovery procedures and allows for more frequent and reliable testing of disaster recovery plans. Organizations should evaluate how this unified approach can integrate with their existing CI/CD pipelines and incident response frameworks. It also implies a need for robust tagging and metadata strategies within their cloud environments to maximize the discovery and dependency mapping capabilities of such tools. The trade-off for this enhanced automation is the need for careful configuration and ongoing validation to ensure the platform accurately reflects the evolving multi-cloud application landscape. Practitioners should investigate the depth of integration with their specific cloud services and the granularity of recovery options available.
#multi-cloud#data protection#disaster recovery#cloud resilience#aiops#cloud management
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