Organizations that have adopted Amazon Web Services (AWS) require a cloud-first backup and recovery strategy that provides backup to the cloud for on-premises applications, and cloud native backup and recovery for legacy ‘lift and shift’ applications. They also need complete data mobility — not just from the datacenter to AWS, but back to the datacenter for portability and compliance needs, or even between AWS instances for development and DR needs. The challenge is that cloud infrastructure is fundamentally different from elastic compute, elastic storage, geo-distributed, always-on capabilities. Traditional backup and recovery products based on media server based architecture, traditional deduplication methodologies, and reliance on LUNs or VM as the protection unit are a misfit for cloud native workloads and applications.
Customers leveraging hybrid cloud infrastructure typically look for the following use cases and associated features:
Datos IO RecoverX is a scale-out, elastic software-only data management platform that runs on-premises or natively on AWS and delivers scalable and fully featured point-in-time backup and recovery as well as data mobility to, from, and within AWS public cloud for traditional applications and cloud-native applications.
RecoverX is built to address the cloud backup and recovery needs of ‘lift and shift’ applications and cloud-native applications deployed on cloud infrastructure.
Datos IO RecoverX can be deployed on-premises on a physical server or virtual machine for private cloud deployments, or as a cloud-native Amazon Machine Image (AMI) on Amazon EC2, enabling complete data management across your hybrid cloud infrastructure.
Datos IO RecoverX is available as a 3-node software instance or 5-node software instance. It can be auto scaled per application load and RPO / RTO needs.
Semantic deduplication deduplicates data at a table-level (application awareness with data formats) rather than block-level (LUN or VM snapshots). providing up to 10x greater backup storage efficiency.
RecoverX encompasses a globally distributed metadata catalog that ensures a consistent view of data across on-premises and AWS datacenter environments. Secondary copies of data (backup, archive, test/dev) are consistent with each other and with the production environments regardless of where the data is stored — making data available anytime and anywhere.
This also enables simple, fast access to data anywhere, on any topology, across on-premises and AWS infrastructure.
Datos IO allows you to backup at any interval and at any granularity. Point-in-time backup copies use cluster consistent versioning to ensure reliable backups of eventually-consistent distributed databases and next generation applications.
Orchestrated and reliable recovery enables flexible RPO and RTO objectives both on-premises and across AWS cloud boundaries. Because the backups are deduplicated, recovery processes only deal with logical data, making it at least 3x faster than traditional approaches, providing a significant reduction in RTO.
With a powerful policy-based data protection engine, Datos IO RecoverX empowers database administrators (DBAs), DevOps and IT operations teams to schedule backup policies at any granularity that they need, and automate the process of test/dev refreshes.