Automated backups, geographic replication, and redundant infrastructure design that ensure your platform’s data survives and your services recover when individual components fail.
Backup and resilience is the layer that protects your deployment against data loss and service interruption. Backups preserve your data. Resilience ensures your infrastructure can absorb a failure and continue operating.
The other infrastructure pages describe what runs, how it connects, and how it’s coordinated. This page describes what happens when any of those layers experiences a failure, and how your data and services are protected before, during, and after that event.
Server and instance state captured on a defined schedule and stored independently from the source. Daily, hourly, or at custom intervals depending on how much data your platform can afford to lose between snapshots. Each backup is a complete, restorable point-in-time image.
Data written to your primary infrastructure is replicated to a secondary location in near real-time. For platforms where even an hour of data loss is unacceptable. Replication targets can be within the same region or in a geographically separate location.
Backups stored in a different physical location from the infrastructure they protect. A failure that affects your primary data centre does not affect the backups. Storage locations are selected based on your data residency requirements and your recovery geography.
How many backups are kept and for how long. Defined per deployment based on your compliance obligations and operational needs. Short retention for fast-moving workloads where only recent state matters. Long retention for environments subject to regulatory audit or legal hold requirements.
Critical infrastructure components are deployed in pairs or clusters so that a single failure does not cause a service interruption. If one component fails, its counterpart continues serving without manual intervention. This applies across compute, storage, and network depending on the resilience level your deployment requires.
These two numbers define every decision in your backup and resilience design. Think Huge works with you to define realistic RPO and RTO targets during onboarding and designs the architecture to meet them.
How much data you can afford to lose, measured in time. An RPO of one hour means your platform can tolerate losing the last hour of data. An RPO approaching zero means no data loss is acceptable. Your backup frequency and replication model are configured to meet the RPO you define.
How quickly your platform needs to be operational after a failure. An RTO of minutes requires warm standby infrastructure ready to take over immediately. An RTO of hours allows for cold standby that is provisioned and restored from backup after the failure occurs. Your resilience architecture is designed to meet the RTO you require.
An entire server or instance rebuilt from a backup image to its exact state at the time of capture. Operating system, configuration, application state, and data all restored as a single operation.
End-user compute, providing backup and recovery for per-user instance data and state. Platform and application servers, providing backup, replication, and failover for stateful backend workloads. GPU and accelerated compute, providing backup of model data, training outputs, and configuration state. Networking and connectivity, relying on redundant paths and multi-region transit for replication and failover traffic. Orchestration, where automated failover and rescheduling depend on the resilience architecture designed in this layer.
Application-level data protection, database replication managed within your application stack, or business continuity planning beyond the infrastructure layer. Think Huge protects the infrastructure and the data on it. How your application uses that infrastructure during and after a failure is a shared responsibility defined during onboarding.
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