Everyone says they have a recovery plan.
The difference is whether it works on a random Friday, when half the team is off, the roads are a mess and someone’s kid is home with something gross from daycare. Resilience that only works under perfect conditions is a brochure. A nice one. Laminated, probably.
This is about moving from “we think we could recover” to “we’ve run the drill and we have the receipts.”
How it actually fails
Resilience doesn’t fail loudly. Not at first.
It fails like a slow leak in January. Quietly, in the dark, while everyone’s busy with something else. Backup jobs that “usually” run. Restore steps that haven’t been tested since the person who wrote them moved to Vancouver. Dependencies nobody mapped because the project was already over budget by the time someone thought to ask.
Then it fails loudly. Someone trips over it during an actual incident and suddenly thirty people are in a bridge call, half of them reading the runbook for the first time. The runbook assumes Gary is running point. Gary’s in Kelowna. The runbook is fiction.
We’ve watched this play out enough times to be tired of it. The failure is never exotic. It’s always the boring stuff. The dependency nobody documented. The test nobody ran. The assumption that the same people would still be around.
What changes this
Test it like it’s real
If you haven’t tested your recovery, you don’t have recovery. You have a hypothesis. Kyndryl’s resiliency orchestration platform runs automated failover, anomaly detection and push-button recovery testing. [source] That’s the tooling. The principle is older: rehearsed teams recover in hours. Unrehearsed teams spend the first hour arguing about the order of operations, which is a hell of a way to find out your plan has gaps.
Get the sequence right
Recovery isn’t about effort. It’s about order. Which systems come back first? What depends on what? Who calls the failover and who confirms it took? Every minute spent on “who does what” is a minute not spent on “doing it.”
Kyndryl backs up over 3.5 exabytes annually for 9,000+ customers across 300+ Resiliency Centres in 60 countries. [source] You’re not buying the number. You’re buying the muscle memory that comes from doing this thousands of times. Muscle memory doesn’t panic at 3am.
Use what’s been proven
Recovery architectures built on Dell, Veritas, Microsoft Azure or Cohesity, depending on what fits, delivered through Kyndryl’s cyber incident recovery framework. [source] ISM’s job is making these patterns work in your specific environment. The tooling is global. The judgment about how to apply it here, with your carriers, your compliance requirements, your 4pm maintenance window on the second Thursday of every month, that stays local.
Know where your recovery data lives
Here’s the one that catches people off guard. If your backups replicate to a facility governed by foreign law, your recovery plan has a jurisdiction problem. You’ll discover this at the worst possible time. Sovereignty in DR is not a policy footnote. It’s an architecture decision that determines whether your compliance posture survives the same incident your systems do.
Kyndryl’s SOC in Barrie, Ontario means the people handling your security incident are operating under the same regulatory framework you are. [source] That alignment matters more during an incident than at any other time. When it’s 2am and things are sideways, you want the team in the same country and the data in the same jurisdiction. Full stop.
What gets better
When resilience is tested, not assumed:
Outages get shorter because the response is rehearsed. Audits get simpler because the testing has evidence. Leadership gets predictable risk instead of surprise risk. Your team stops white-knuckling every change because recovery is trustworthy, not theoretical.
And here’s the quiet bonus: recovery data that’s clean and governed doubles as the foundation for pattern recognition and predictive operations. The same discipline that makes DR trustworthy is the discipline that makes AI workloads possible down the road. Two birds, one very boring stone.
What to fix first
Catalogue what you have Map services, dependencies, and what “restore” actually means per system. Not what it means in the architecture doc. What it means on a Friday.
Build privacy into daily work Recovery artefacts contain sensitive data. Full copies of production, in some cases. Treat them accordingly.
Operationalise governance Who approves a recovery change? Who owns testing? Where does the evidence go? Put it in a system.
Secure the data itself Encrypt, control access, monitor movement. Backups and replicas are targets, not afterthoughts.
ISM architects and tests recovery in Canadian-controlled environments, with Kyndryl’s resiliency orchestration underneath and local teams who stick around long enough to know what “restore” actually means for your specific systems. When the call comes, the response is rehearsed, the people are here, and the evidence is already in the system.
Winter tires. Proven on dry roads. Ready for the bad ones.
