Arpio
Automated disaster recovery for cloud applications
Shyft Score
Directory quality rating
53/100
Quiet
Found in 1 source
Our take
The verdict on Arpio
AI-generated
Arpio offers automated disaster recovery for cloud applications, ensuring quick recovery from outages and cyberattacks.
Strengths
- Automated backup and recovery processes
- Real-time monitoring of system health
- Integration with major cloud service providers
Limitations
- Higher starting price
- Limited to AWS and Azure
Best for: Businesses needing automated disaster recovery for cloud applications.
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See how Arpio fits your stackAbout
What is Arpio?
Arpio provides a seamless, automated disaster recovery solution for cloud applications on AWS and Azure, ensuring quick recovery from outages and cyberattacks.
Key capabilities
Automated backup and recovery processes
Real-time monitoring of system health
Customizable recovery plans
User-friendly dashboard for status updates
Integration with major cloud service providers
At a glance
Use cases
What you can do with Arpio
Automate the backup and recovery of cloud applications and data
Monitor and alert on potential issues and failures in cloud infrastructure
Test and validate disaster recovery plans and procedures
Integrate with other cloud services and tools for enhanced functionality
Ensure compliance with regulatory and industry standards for data protection and disaster recovery
Best for
IT departmentsCloud service providersBusinesses with critical uptime requirements
Pricing
Arpio pricing
Arpio starts at $49/mo
Starting at $49/mo
Ecosystem
Connected ecosystem
MCP servers, AI skills, and integrations that work with Arpio
Integrations
AWSGoogle Cloud PlatformMicrosoft AzureSlackJiraZapierTrelloPagerDutyServiceNow
FAQs
Frequently asked questions
Common questions about Arpio and its capabilities
Arpio pricing starts at $49/mo. Contact Arpio for enterprise pricing and volume discounts.
Need help automating Arpio?
Our team can help you integrate Arpio with your existing tools and build custom automation workflows.
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