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MULTI-CLOUD

When AWS goes down, you don’t

Your apps run across more than one cloud. When one cloud goes down, the others take over on their own. Nobody gets paged.

Every cloud has backups. But none of them fail over to a different cloud in minutes. Rediacc does.

$ rdc repo sync push-all
Computing incremental diff .... done
Transferring delta (2.4 GB of 380 GB) .. done
Applying snapshot on secondary .. done
Verifying 8 containers ........ 8/8 healthy
✓ Replication complete: secondary-dc in sync
⚠ Alert: primary health check failed (us-east-1 unreachable)
Failover initiated ............ done
DNS updated to secondary-dc ... propagated
Delta: 2.4 GB    Failover: 22s    Services: 8/8 online    Downtime: 0

Illustrative output; actual runs may include extra logs.

<30s
Failover Time
99.99%
Data Integrity
3+
Cloud Providers Supported
THE PROBLEM

Single-cloud is a single point of failure

Picture this: AWS us-east-1 goes dark and your whole business goes dark with it. Your site, your sales, your support line. All down, and there is nothing you can do but wait. Big cloud outages rose 18% year-over-year in 2024. They lasted 18.7% longer. Human error caused 68% of them [2]. When you bet on one cloud, you bet your business on someone else’s bad day.

$300K+ per hour of downtime for 90% of mid-size and large companies ITIC 2024 Hourly Cost of Downtime Survey [1]
18% more critical cloud outages in 2024 Parametrix 2024 Cloud Outage Risk Report [2]
$400B annual downtime cost for Global 2000 companies Splunk / Oxford Economics 2024 [3]
The old way
Min 0 Outage detected
Min 15 Assess damage
Hour 1 Manual failover
Hour 4 DNS propagation
Hour 8+ Still degraded
With Rediacc
Detect
<30s
Online
THE REAL COST

What does a cloud outage cost you?

Drag the sliders to match your business. See the real cost of single-cloud dependency.

Calculate your outage exposure

Without Rediacc
Revenue lost to outages$80,000
Failover labor cost$4,800
Customer churn (est.)$16,000
SLA penalty risk$8,000
Annual outage cost
$108,800
With Rediacc
Revenue lost to outages$0
Failover labor cost$0
Customer churn (est.)$0
SLA penalty risk$0
Annual outage cost
$0
Revenue loss: hourly revenue × outage hours. Failover labor: 3 engineers × failover hours × $200/hr × incidents. Customer churn: 20% of direct revenue loss (conservative estimate). SLA penalty: 10% of revenue lost. ITIC 2024 found 41% of enterprises report hourly downtime costs of $1M–$5M [1]. Rediacc’s <30s automatic failover eliminates extended outage windows.
HOW IT WORKS

One command. Always online.

1

Replicate

Run one command: rdc replicate production --target secondary. Only the data that changed moves, not the whole thing. So it stays fast and cheap.

2

Monitor

Rediacc checks your primary site around the clock. The moment it fails, we know. It plugs into the tools you already use, like Grafana and Prometheus.

3

Failover

Traffic moves to a healthy site in under 30 seconds. DNS updates on its own. You do nothing.

Primary (us-east-1) Down
nginx :443
api-server :8080
postgres :5432
redis :6379
Failover
22s
Secondary (eu-west-1) Active
nginx :443
api-server :8080
postgres :5432
redis :6379
UNDER THE HOOD

Why cross-cloud replication is fast and cheap

Rediacc runs on btrfs, the storage engine that makes cheap instant copies possible. It only copies the data that changed since last time. Say you have a 380 GB setup and 2.4 GB changes today. Rediacc moves 2.4 GB, not 380 GB. That cuts bandwidth by 98%. It can run all the time or on a schedule.

Traditional approach
Rediacc (btrfs send/receive)
Copies the full server image: 380 GB every sync, takes hours
Copies only what changed: about 2.4 GB a day
Locked to one vendor (AWS to AWS, Azure to Azure)
Works anywhere: any Linux machine to any Linux machine
Manual DNS switch: 15-60 minutes of engineer time
Automatic health check and DNS switch in under 30 seconds
Data-out fees: $0.09/GB, ~$34/sync for 380 GB full image
Data-out fees: $0.09/GB, ~$0.22/sync for 2.4 GB incremental diff
WHY IT MATTERS

What you get

Always online

One cloud fails and another takes over. No one has to step in. The switch fires the moment a health check fails. It hooks into the monitoring tools you already run.

More than one cloud by default

AWS, Azure, GCP, Hetzner, or your own servers. Mix and match however you like. Any Linux machine with our storage engine can be a backup target.

No vendor lock-in

Move between clouds whenever you want. The saved copies use an open format. No locked-in agents. It is standard btrfs, built into Linux since 2013.

THE GAP

No other tool fails over across clouds in seconds

Cloud-built tools only copy data inside their own cloud. Backup tools take hours to restore. Rediacc copies across any provider and fails over in under 30 seconds.

Capability AWS BackupVeeamZertoDruva Rediacc
Copies across clouds [4] [5] [6]
Failover under 30 seconds
Sends only changes (98% savings) [7] [8] [9]
Fail over from any provider to any other
Self-hosted, no cloud agent [10] [11]
Automatic DNS failover [12]
Copies the whole stack (app and database) [13] [14]
During the AWS us-east-1 outage last March, our 12 production services failed over to our secondary datacenter in 22 seconds. Our customers didn’t notice. Our competitors were down for 6 hours. We got three new enterprise contracts that week from their customers.
Before
6 hours
After
22s
982x faster failover

Don’t bet your business on one cloud

Start with the free Community edition. Copy your data across sites at no cost. No credit card needed.

Claim Design Partner Free forever for up to 10 apps
$ rdc repo push --to secondary-dc -m primary

Short on time?

Skip the deep-dive. Grab the five-minute version your team can read at a stand-up.

Download short brief (PDF)
Copy any app that runs in a container
Databases, CI/CD, CMS, monitoring, logins, storage. If it runs in a container, Rediacc copies it across clouds.
Sources & References
  1. ITIC, “2024 Hourly Cost of Downtime Report,” 2024. “The average cost of a single hour of downtime now exceeds $300,000 for over 90% of mid-size and large enterprises.” itic-corp.com
  2. Parametrix, “2024 Cloud Outage Risk Report,” 2024. “Critical cloud service interruption events increased by 18.0% and lasted 18.7% longer in 2024 than in 2023. Human error accounted for 68% of incidents.” www.reinsurancene.ws
  3. Splunk & Oxford Economics, “The Hidden Costs of Downtime,” 2024. “The total cost of downtime for Global 2000 companies is $400B annually, or 9 percent of profits, when digital environments fail unexpectedly.” www.splunk.com
  4. Veeam supports cross-cloud backup and replication between VMware, Hyper-V, AWS, Azure, and Google Cloud. helpcenter.veeam.com
  5. Zerto replicates workloads between VMware, Hyper-V, AWS, Azure, IBM Cloud, and 350+ cloud service providers. www.zerto.com
  6. Druva provides cross-cloud DR by storing backup data across AWS and Azure from a single console. www.druva.com
  7. Veeam uses incremental backup with Changed Block Tracking (CBT) to transfer only modified data blocks. helpcenter.veeam.com
  8. Zerto VRAs continuously replicate only changed data blocks at the hypervisor level in near-synchronous fashion. www.zerto.com
  9. Druva uses incremental-forever backup with global variable-block deduplication achieving up to 90% bandwidth savings. help.druva.com
  10. Veeam Backup & Replication is deployed on-premises on Windows Server with full customer control over infrastructure. helpcenter.veeam.com
  11. Zerto is deployed on-premises with a Zerto Virtual Manager and per-host Virtual Replication Appliances. help.zerto.com
  12. Zerto provides automated Re-IP of recovered VMs during failover with pre/post recovery scripts for DNS updates. help.zerto.com
  13. Veeam Backup & Replication provides continuous replication of full application stacks with orchestrated failover. helpcenter.veeam.com
  14. Zerto Virtual Protection Groups replicate multi-VM application stacks as a single consistent unit with write-order fidelity. help.zerto.com
Product performance claims are based on Rediacc’s btrfs copy-on-write architecture. Calculator estimates use industry-standard cost models; actual costs vary by organization.