Cutover for cloud disaster recovery

Make complex cloud disaster recovery simple and scalable 

Moving applications to the cloud provides many benefits and cost savings, but also adds significant complexities to managing your applications. Leading cloud providers such as AWS, Azure, and Google Cloud, offer disaster recovery (DR) strategies so you can create high availability deployments, services for data backup and restore and failover capabilities. It’s a balancing act between cost, complexity, and ensuring recovery time objectives (RTOs) and recovery point objectives (RPOs) to ensure your applications are available and reliable. These providers guarantee the uptime of the infrastructure, but you are still responsible for your application uptime and ensuring recoverability. 

Regardless of your cloud DR strategy, outages, region failovers and cyber incidents can still cause disruptions to customers, employees and potential revenue loss. Ensuring the recovery of your cloud applications within RTOs Cutover for cloud disaster recovery www.cutover.com Make complex cloud disaster recovery simple and scalable www.cutover.com requires understanding the complexities and nuances of your cloud deployment, the necessary people involved and testing your cloud recovery procedures regularly. 

Cutover provides a single platform to execute your cloud DR plans where you can combine both automated and manual tasks via Cutover’s dynamic, automated runbooks. Precision orchestration provides consistent task sequencing across your complex critical architectures and data, enabling you to reduce the time it takes to execute cloud recovery processes. With Cutover’s runbooks you can capture multi-threaded task flows so you can understand what needs to happen and when. 

Connect teams, technologies and systems with Cutover and take the risk and cost out of executing your cloud DR plans for both real outages and testing scenarios with automated runbooks that standardize processes and enable better collaboration between teams and automation. 

What are the benefits of using Cutover for cloud disaster recovery?

Standardize and scale cloud disaster recovery execution in a single platform

•  Save time with a centralized execution engine for all recovery activities across multiple cloud service providers 
• Integrate, automate and execute recovery plans across all your cloud workloads, third-party tooling and manual tasks in one central location

Orchestrate and automate cloud disaster recovery and testing 

• Build detailed, dynamic automated runbooks that codify the recovery process 
• Prepare for outages, missing data segments, region failovers and unplanned events with testing scenarios for recovery 
• Make real-time updates to your recovery procedures and strategies during systematic or chaos engineering scenarios 
• Reduce the complexity of your cloud DR execution by orchestrating both manual and automated tasks with Cutover’s dynamic runbooks 
• Reduce error-prone manual recovery tasks with automated runbooks and tasks and integration to commonly used apps 

 Increase visibility with real-time reporting and dashboards

• Enable visibility of multi-application recovery progress with real-time dashboards to understand potential problem areas that need attention 
• Keep stakeholders informed during recovery 
• Capture and validate recovery time actuals (RTAs) to gain confidence that you can meet RTOs

Improve collaboration during cloud recovery tests and failovers

• Keep teams and technology connected for efficient collaboration throughout rehearsals and live recovery incidents 
• Streamline communication across your entire cloud DR team with integrations to Slack, Microsoft Teams, Zoom, and more 

Analyze, iterate and audit your cloud resilience strategy and meet regulatory requirements

• Ensure governance and regulatory compliance with the indelible audit trail 
• Verify that mission-critical apps are readily available and meet RTOs to ensure failures cause minimal impacts 
• Use post-event analysis to view and report on RTOs against recovery time actuals, derive lessons learned and create a continuous cycle of improvement