Disaster Recovery and High Availability: Planning for the Day Things Break

Everything fails eventually. Hardware dies, regions go down, someone fat-fingers a command, ransomware hits. The question isn't whether something will break, it's whether your business keeps running when it does. Disaster recovery and high availability are the two disciplines that answer that question, and they're often confused, so let's separate them and cover what actually keeps you running.

Two different problems

High availability (HA) is about staying up. It means designing systems so that when a component fails, the system keeps working, automatically, with little or no interruption. Redundancy is the key: no single point of failure, so when one piece dies, another takes over before users notice.

Disaster recovery (DR) is about recovering when something bigger goes wrong, a major outage, a regional failure, a serious attack, that HA alone can't absorb. It's your plan for getting back to operation after a significant disruption.

The simple way to hold them apart: HA tries to prevent downtime from individual failures, DR is how you come back from a disaster that gets through anyway. You generally want both, calibrated to how much downtime and data loss your business can actually tolerate.

The two numbers that drive everything

Every DR plan revolves around two targets, and getting clear on them is most of the work:

RTO (Recovery Time Objective). How quickly you need to be back up after a disruption. Minutes? Hours? A day? The shorter your acceptable RTO, the more you'll invest to achieve it.

RPO (Recovery Point Objective). How much data you can afford to lose, measured in time. If your RPO is one hour, you need to be able to recover to a state no more than an hour old, meaning you back up at least that often.

These two numbers determine your whole approach and its cost. Aiming for near-zero downtime and near-zero data loss is possible and expensive. Accepting more is cheaper. The right answer depends on what the business genuinely needs, and the mistake is either over-investing in protection you don't need or under-investing and discovering it during an actual disaster.

The practices that keep you running

For high availability:

• Redundancy everywhere it matters. No single point of failure in critical paths.
• Automatic failover. When something dies, a backup takes over without manual intervention.
• Spread across failure zones. Don't put everything in one place that can fail together.

For disaster recovery:

• Real backups, tested. Backups you've never restored are just hope. Test recovery regularly.
• Off-site and isolated copies. Especially against ransomware, you need copies an attacker can't reach and encrypt.
• A written, practiced plan. Who does what, in what order, when disaster strikes. A plan nobody's rehearsed fails under pressure.
• Clear RTO and RPO targets the plan is actually built to meet.

The cloud makes a lot of this easier, with built-in redundancy and replication options, but it doesn't do it for you. You still have to design and test for it.

What you're really protecting

Here's the heart of it. When you strip away the servers and the infrastructure, what disaster recovery is ultimately protecting is your data. Servers can be rebuilt. Applications can be redeployed. But if your data is lost or corrupted, that's the damage you may never fully recover from. The whole point of RPO, "how much data can we afford to lose," makes this explicit: data is the irreplaceable asset.

And here's where fragmentation becomes dangerous. When your data is scattered across many disconnected systems, protecting it is far harder. Each system needs its own backup and recovery, the pieces have to be recovered consistently with each other, and the odds that something falls through the cracks go way up. A disaster recovery plan for fragmented data is a plan with many separate failure points, and recovering a coherent business from a dozen separately-backed-up silos is genuinely hard.

A unified, governed data foundation isn't only good for AI and analytics. It makes your data dramatically easier to protect, back up, and recover as one coherent whole. Resilience is yet another reason fragmentation costs you, and unification pays off.

How Mars Innovation approaches it

We help you protect what actually matters (your data) and secure the environment around it:

• Data Platform Launchpad unifies your data into one governed foundation, which makes it far easier to back up, protect, and recover coherently, instead of as a dozen separate fragile silos.
• Zero Trust Launchpad hardens your environment against the attacks (like ransomware) that disaster recovery exists to survive, and helps ensure isolated, protected recovery copies.

Every engagement is fixed-price, with scope and cost known up front.

The takeaway

High availability keeps you running through individual failures; disaster recovery brings you back from bigger disasters. Both are driven by two numbers, RTO and RPO, that reflect how much downtime and data loss your business can tolerate. What you're ultimately protecting is your data, and fragmented data is far harder to protect and recover than a unified foundation. Resilience is one more reason to fix the fragmentation.

Is your disaster recovery plan protecting a dozen fragile silos?

We'll unify your data so it's far easier to protect and recover, and harden the environment around it.

→ Explore the Data Platform & Zero Trust Launchpads — fixed-price, scoped, and built for resilience.