We've helped cloud teams recover from regional outages, deleted databases, and ransomware. Every time, the backup layer under the AWS disaster recovery plan decided the outcome, not the plan on paper.
What an AWS disaster recovery plan covers
An AWS disaster recovery plan is a documented strategy for restoring your AWS workloads and data after an event large enough to take out a Region, corrupt data at scale, or knock out systems that your in-Region redundancy was never built to survive.
It sets a target recovery time and recovery point for each workload, then defines the AWS services and steps that meet those targets.
This is different from high availability, which handles the everyday case of one component or Availability Zone failing. Disaster recovery handles the rare, Region-wide case, and usually means recovering in a separate Region. AWS runs the infrastructure, but protecting and recovering your data is your job, the same as it is in any cloud disaster recovery plan.
The 4 AWS disaster recovery strategies
AWS groups disaster recovery into four approaches on a cost and complexity spectrum, from cheap and slow to expensive and near-instant. You pick one per workload, not one for the whole environment.
Here’s a quick look at how all four compare on cost, recovery speed, and best-fit workload:
Backup and restore
Backup and restore is the lowest-cost strategy and carries the longest recovery time. You keep backups and infrastructure templates in a separate Region, then rebuild the environment and restore data after an event.
AWS Backup handles scheduling and cross-Region, cross-account copies, while infrastructure as code like AWS CloudFormation or the AWS CDK redeploys the stack. Recovery runs in hours, which fits workloads that can tolerate downtime.
Pilot light
Pilot light keeps your data live in the recovery Region while the compute stays switched off. Databases replicate continuously through options like Amazon RDS read replicas, Aurora global databases, or DynamoDB tables, so the data is ready to serve reads.
On failover, you turn on and scale up the compute. AWS Elastic Disaster Recovery uses this approach, holding a low-cost staging copy and launching full-capacity instances only when you trigger recovery.
Warm standby
Warm standby runs a scaled-down but working copy of production in the recovery Region at all times. It can take traffic immediately at reduced capacity, then scale up with EC2 Auto Scaling before handling full load.
The difference from pilot light is readiness. Pilot light needs you to turn services on first, while warm standby only needs you to scale up what is already running.
Multi-site active/active
Multi-site active/active serves live traffic from two or more Regions at once, so failover means routing requests away from the Region that failed. It offers recovery times and recovery points near zero, and it carries the highest cost and complexity.
Cross-Region data synchronization introduces write-conflict handling, which is the hard engineering part. This one fits revenue-critical workloads where downtime is unacceptable.
Every strategy still rides on the backup layer underneath it, because replication copies corruption and deletions along with good data. So the strategy you pick sets your best-case recovery time, and the speed of that backup layer decides the number you actually hit.
That is how NETGEAR turned a 10TB recovery from 24 hours into under 3 hours after moving its backups to Eon.
How to build an AWS disaster recovery plan
Building an AWS DR plan starts with knowing what you protect and how fast each piece needs to come back.
Inventory and classify workloads by business impact
List every workload, then sort it into tiers by what breaks if it goes down. A customer-facing payments service is not the same as an internal reporting job, and treating them the same wastes budget or leaves gaps.
Tiering stops you from spending active/active money on something that could sit down for a few hours. This step also surfaces resources nobody remembered to protect, which is where coverage gaps usually start.
Set RTO and RPO for each tier
Recovery time objective is the longest downtime a workload can tolerate, and recovery point objective is the most data you can afford to lose. Set both per tier, then match each tier to a strategy from the spectrum above.
Isolate backups across accounts and Regions
Keep recovery data in a separate AWS account and Region that production credentials cannot reach. If an attacker or a bad automation run hits production, backups in the same account are inside the blast radius.
AWS Backup supports cross-account, cross-Region copies for exactly this reason. That separation is often the line between recovering from ransomware and paying it.
Fail over using data plane operations
AWS splits its services into a control plane and a data plane. The control plane configures resources, and the data plane delivers the running service with higher availability targets. During a regional event, control plane operations are the first to struggle, so failover that leans on them can stall.
Leaning on the control plane during recovery is a documented anti-pattern. Build failover on data plane actions, like Route 53 routing controls and health checks, rather than editing DNS by hand mid-incident.
Test against realistic failure, not a runbook read-through
A DR plan you have not tested is a hypothesis. Eon’s 2026 Cloud Data Infrastructure Report found 75% of executives rely on assumptions instead of verified testing when they estimate recovery time.
Run game days that actually fail a Region, use AWS Resilience Hub to check your setup against its RTO and RPO, and inject faults with AWS Fault Injection Service.
Testing is where multi-region plans break first, usually because recovery behaves differently in each Region. Standardizing the recovery layer across Regions closes that gap. SoFi did exactly that, taking a full-day recovery down to under five minutes across five AWS Regions.
AWS disaster recovery best practices
Once the plan exists, these practices are what keep it working as the environment changes.
Match the unit of recovery to the unit of damage
Most incidents are small, like a dropped table or a corrupted record. Native AWS snapshots restore the whole resource, so recovering one row can mean standing up an entire database instance and searching through it.
Confirm coverage continuously as the environment changes
New accounts, new databases, and new Regions appear faster than anyone updates the DR plan. AWS gives you the building blocks, and it does not tell you which resources are unprotected right now.
Keep a clean, logically air-gapped recovery point
Ransomware and bad automation target the recovery path, not only production. If your backups sit where production credentials can reach them, they can be encrypted or deleted along with everything else.
Keep at least one immutable, logically air-gapped copy that cannot be altered, and detect tampering by watching the data itself, like row counts and schema changes, since file-level scans miss managed databases.
Eon's Ransomware Protection identifies the last clean recovery point, so you restore to a known-good state instead of guessing.
Plan for the hyperscaler's bad day
A single Region can go down and take a lot with it. In October 2025, an AWS US-EAST-1 outage ran for about 15 hours and disrupted services well beyond AWS. Forrester expects at least two multi-day hyperscaler outages in 2026.
Cross-Region recovery is the whole point of a DR plan, so store backups and recovery assets outside your primary Region, and rehearse bringing them up there as part of a broader outage recovery plan.
Where AWS-native DR tools leave gaps
AWS Backup, snapshots, and cross-Region replication are the right foundation, and they leave four gaps that show up during real incidents. Recovery runs at the resource level, so small restores get slow and expensive.
Visibility stops at the account boundary, so coverage drift hides until a restore fails. Snapshots have no built-in sense of which recovery point is clean after an attack. And backups often sit close enough to production to share its blast radius.
This is where a dedicated recovery layer earns its place. Eon sits under your AWS DR strategy and closes those gaps directly. Granular restore brings back a single record without standing up the whole resource, while Cloud Backup Posture Management (CBPM) tracks coverage across every account and Region, so drift surfaces before a restore fails.
Logically air-gapped immutable backups keep a clean recovery point outside production's blast radius. And you can query that backup data without a full restore, which is where Eon parts ways with AWS Backup.
Getting your AWS DR plan right
An AWS disaster recovery plan is a set of decisions, one per workload, about how much downtime and data loss you can accept and which of the four strategies meets that target. Get the tiers, RTO, and RPO right. Build failover on the data plane, and test it like you mean it.
The plan sets your ceiling, and the recovery layer under it, how fast and how precisely you can actually restore, decides whether you reach that ceiling when a Region goes dark.
Want to see how granular restore and posture management would fit your AWS setup? Book a demo and see how Eon fits under your AWS DR plan.
Frequently asked questions
What are the four AWS disaster recovery strategies?
The four AWS disaster recovery strategies are backup and restore, pilot light, warm standby, and multi-site active/active. They range from lowest cost and slowest recovery with backup and restore to highest cost and near-instant recovery with multi-site active/active. You pick one per workload based on its RTO and RPO.
What is a good RTO and RPO for AWS workloads?
A good RTO and RPO depend on the workload's business impact, so there is no single number. Tier-1 systems like payments often target an RTO of minutes and an RPO near zero, while tier-4 workloads like reporting can accept hours for both. Set the targets first, then choose the AWS strategy that meets them.
Is AWS Backup enough for disaster recovery?
No, not on its own. AWS Backup is a strong foundation for disaster recovery, but it is not a full plan. It handles scheduling and cross-Region, cross-account copies, and you still need to define RTO and RPO, redeploy infrastructure with code, and test failover. Recovery precision and coverage visibility across accounts usually need more than native backup settings give you.
What is the difference between AWS Elastic Disaster Recovery and AWS Backup?
The main difference is that AWS Backup protects and restores data, while AWS Elastic Disaster Recovery replicates whole servers for fast failover. Elastic Disaster Recovery uses a pilot light approach, keeping a low-cost staging copy that launches full instances on failover. Many teams run both, with Backup for data protection and Elastic Disaster Recovery for server recovery.
How often should you test an AWS disaster recovery plan?
You should test an AWS disaster recovery plan at least quarterly, and after any major architecture change. Regular game days that fail a Region catch drift and broken assumptions before a real incident does. Teams that estimate recovery time instead of testing it tend to find the gap during an outage, when it is most expensive to learn.
