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How to Choose an Infrastructure Management Provider for Reliability, Backups, and Disaster Recovery

Fedir Kompaniiets
Fedir Kompaniiets
DevOps and Cloud Architecture Expert Co-founder of Gart
How to Choose an Infrastructure Management Provider for Reliability, Backups, and Disaster Recovery

Short answer: 

Evaluate an infrastructure management provider on four things:

  • a written uptime SLA (99.9%+ with real financial penalties, not a marketing claim),
  • documented RTO/RPO targets that are tested on a fixed schedule rather than assumed,
  • compliance certifications matched to your industry (GDPR, ISO 27001, SOC 2, HIPAA),
  • a delivery model — fully managed, assisted, or self-service — that fits how much your in-house team can realistically own.

Providers that build backup and disaster recovery inside the same team running your monitoring and incident response (an SRE-driven model) tend to recover faster than providers who sell backup as a bolted-on product line, because the people who understand your system’s normal behavior are the same people responding when it breaks.

Table of contents
  1. What “infrastructure management” actually covers
  2. Why reliability, backups, and disaster recovery have to be evaluated together
  3. Eight criteria that separate reliable providers from risky ones
  4. Delivery models: managed, assisted, and self-service
  5. Cloud deployment considerations
  6. Industry-specific considerations
  7. Common mistakes when choosing a provider
  8. Evaluation checklist
  9. What this looks like in practice: Gart Solutions
  10. Where infrastructure management is heading
  11. Conclusion

What “infrastructure management” actually covers

Infrastructure management is the ongoing operation of an organization’s IT environment — provisioning and scaling servers, patching and monitoring systems, managing cloud spend, and keeping applications available — rather than a one-time project or a single product you buy. It typically spans:

  • Provisioning and scaling — standing up and resizing compute, storage, and networking as demand changes
  • Monitoring and observability — knowing a problem exists before a customer reports it
  • Patching and configuration management — keeping systems current without breaking them
  • Capacity planning — forecasting resource needs before they become outages
  • Incident response — the process that runs when something fails anyway
  • Backup and disaster recovery — the safety net for when incident response isn’t enough

Reliability, backup, and disaster recovery aren’t separate services bolted onto this list — they’re outcomes of how well the rest of it is run. A provider that only touches your infrastructure when something breaks is doing incident response, not infrastructure management. A provider that continuously monitors, capacity-plans, and rehearses failure is doing the thing that actually prevents the outage in the first place.

Why reliability, backups, and disaster recovery have to be evaluated together

It’s common to shop for these as three separate line items: a monitoring tool, a backup product, and a DR plan bolted on afterward. That’s usually a mistake, for a structural reason — the three only work together if the same team (or the same automated system) understands all three at once.

A backup is only useful if someone notices the primary system failed in the first place — that’s reliability monitoring. A disaster recovery plan is only fast if the team executing it already knows the dependencies between your services — that’s the same knowledge a good reliability practice builds day to day. When these three functions live with three different vendors, or three different internal teams that don’t talk to each other, the handoff between “something broke” and “we’re recovering” is where the actual downtime happens — not in the backup or the failover mechanism itself, but in the coordination gap between them.

This is the practical argument for evaluating a provider’s reliability, backup, and DR capability as one integrated question rather than three separate procurement decisions.

Eight criteria that separate reliable providers from risky ones

1. An uptime SLA with real financial penalties

“High availability” is marketing language. A real SLA states a specific percentage (99.9%, 99.95%, 99.99%), defines exactly how downtime is measured and what counts as an outage, and specifies what the provider owes you — usually service credits — if they miss it. If a provider won’t put a number and a penalty in the contract, treat the reliability claim as unverified until they will.

2. Written RTO and RPO targets, not estimates

Recovery Time Objective (how long until systems are back online) and Recovery Point Objective (how much data you could lose) should be specific numbers attached to your specific workloads, not a general “fast recovery” promise on a marketing page. A provider should be able to tell you the RTO/RPO for your production database, not just their best-case example client.

3. A DR testing cadence you can actually verify

Backups that have never been tested are a hypothesis, not a safety net. Ask how often the provider runs full failover drills — quarterly is a reasonable baseline for most businesses, monthly or more for regulated industries — and whether you receive a written report after each one. “We back up daily” is not the same claim as “we tested a full failover last quarter and it worked.”

4. Compliance certifications that match your industry

GDPR matters if you handle EU personal data. HIPAA matters for healthcare. PCI DSS matters for anything touching card payments. ISO 27001 and SOC 2 signal a broader, audited security management process rather than a single checkbox. A provider serving finance or healthcare clients without the certification relevant to that sector is a gap worth asking about directly, not assuming away.

5. A delivery model that matches your team’s actual capacity

Fully managed providers own setup, monitoring, and failover end-to-end — the right fit when you don’t have in-house DR expertise. Assisted models split the work between the provider’s infrastructure and your internal IT team. Self-service gives you the platform and the responsibility. Choosing the wrong model for your team’s size tends to show up in one of two ways: overpaying for hand-holding you didn’t need, or being under-supported during an actual incident because you assumed more provider involvement than the contract actually specifies.

6. Reliability engineered in, not bolted on

Providers that run backup and disaster recovery through the same team responsible for monitoring, observability, and incident response — a Site Reliability Engineering approach — generally detect and recover from failures faster. The alternative, where “backup” is a separate product from “infrastructure support,” creates a coordination gap exactly when speed matters most.

7. Transparent, itemized pricing

Base subscription pricing that doesn’t disclose data egress fees, failover activation charges, or per-incident support costs turns into a surprise bill exactly when you’re already dealing with an outage. Ask for a full pricing breakdown, including what happens if you actually have to invoke disaster recovery — some providers charge extra for the event you’re paying them to prevent the impact of.

8. Exit terms that don’t lock you in

Migrating away from a DR or infrastructure management provider later is disruptive by nature — you’re moving the thing designed to protect continuity. Look for open standards, documented interoperability, and a clear data-export process, so switching providers is a deliberate choice rather than something made impractical by vendor lock-in.

Delivery models: managed, assisted, and self-service

Most infrastructure management and DR providers offer some version of these three models. Choosing the right one depends on your internal resources, how much control you want to retain, and how quickly you need to be operational.

ModelWho does the workBest forTrade-off
Fully managedProvider handles setup, monitoring, failover, and testing end-to-endTeams without in-house DR expertise; businesses that want to focus on their product, not their infrastructureLess day-to-day control; more dependence on the provider’s response time
AssistedProvider supplies infrastructure and expertise; your internal IT team is involved in configuration and testingMid-sized organizations with some internal IT capacity but limited DR-specific experienceRequires real internal time investment; risk of miscommunication during an actual incident if responsibilities aren’t documented clearly
Self-serviceYou get the platform and tools; your team owns setup, monitoring, and executionEnterprises with dedicated SRE/DR specialists who want maximum customization and lower long-term costSteep learning curve; you carry the operational risk if something is misconfigured

Cloud deployment considerations

Where your infrastructure management and DR environment actually lives affects both cost and control:

Public cloud (AWS, Azure, Google Cloud) offers global reach, pay-per-use pricing, and easy integration with other cloud-native services — a strong fit for startups and businesses that need flexible, scalable recovery without large capital investment. The trade-off is shared infrastructure, which can raise compliance questions for highly regulated data, and less control over exactly where data physically resides.

Private cloud or dedicated infrastructure gives you greater control, more predictable performance, and stronger data sovereignty — relevant for finance, healthcare, and other sectors with strict regulatory requirements. It costs more and scales more slowly.

Hybrid combines the two — public cloud scalability for less sensitive workloads, private infrastructure for regulated or mission-critical systems. Most mid-size and enterprise organizations end up here in practice, even if they start with an all-public-cloud assumption.

Industry-specific considerations

IndustryWhat makes reliability harderWhat to prioritize in a provider
HealthcareHIPAA compliance, patient data sensitivity, systems that must stay available for care deliveryEncrypted backups, compliant infrastructure, fast failover for EMR and scheduling systems
Finance & bankingStrict regulatory oversight, transactional integrity, customer trustReal-time recovery, transactional data preservation, PCI DSS / SOX alignment
Retail & e-commerceHigh-volume transactions, customer-facing systems where seconds of downtime cause abandoned cartsGeo-redundant failover across in-store and online channels
ManufacturingProduction-line systems and ERP uptime tied directly to outputContinuity for production and logistics systems specifically, not just office IT
Education & public sectorOften aging infrastructure, budget constraints, seasonal demand spikesCost-effective DRaaS that scales with semester or cyclical demand

Common mistakes when choosing a provider

  • Underestimating complexity

Infrastructure management and DR are not plug-and-play. They require mapping dependencies between systems, choosing a replication strategy, and deciding which applications get priority during recovery — work that has to happen before an incident, not during one.

  • Skipping testing

A disaster recovery plan that’s never been rehearsed is the operational equivalent of a fire extinguisher no one has checked. Insist on a testing schedule and documentation, not just a promise.

  • Assuming your team already knows the plan

If staff don’t know their role during a disaster, recovery fails regardless of how good the underlying technology is. A good provider will help you run drills, not just install software.

  • Not asking about hidden costs

Data egress fees, failover activation charges, and per-incident support costs can turn a competitive base price into the most expensive option once you actually need the service.

  • Ignoring exit terms

Evaluate how hard it would be to leave before you sign, not after you’ve decided to.

Evaluation checklist

  • What is the SLA percentage, and what do we get if you miss it?
  • What are the RTO and RPO for our specific critical systems — in writing, not as a general estimate?
  • How often do you run full DR tests, and can we see a report from the last one?
  • Which compliance certifications do you hold, and do they match our industry?
  • Is backup/DR run by the same team that handles our day-to-day monitoring, or outsourced separately?
  • What’s included in the base price versus billed as an incident-response extra?
  • What does the exit process look like if we need to switch providers later?
  • Can you share a real case study with actual recovery-time numbers, not projected ones?

What this looks like in practice: Gart Solutions

Gart Solutions is a cloud infrastructure and DevOps consultancy that runs infrastructure management, Site Reliability Engineering, and disaster-recovery-as-a-service through the same engineering team rather than as separate products — the model described in criterion six above. Its infrastructure management and DR services are built around GDPR- and ISO-aligned practices, and support managed, assisted, and self-service delivery depending on how much a client’s internal team wants to own directly.

Healthcare organization: ransomware incident

A regional healthcare provider’s systems were locked down by a ransomware attack, with patient data inaccessible. Automated failover initiated within 10 minutes. Backup systems came online with roughly 15 minutes of data loss (RPO), and the organization resumed normal operations within 2 hours. No patient data was lost, no ransom was paid, and there was no further service disruption beyond the initial 2-hour window.

Retail chain: data center fire

A fast-growing retail chain experienced a fire at its primary data center, affecting point-of-sale, inventory management, and e-commerce systems. Cloud-hosted failover took over instantly, so sales continued uninterrupted across physical locations and online. Failback to new infrastructure completed in under 48 hours. The chain estimated it avoided roughly $1.2 million in potential losses.

Both cases illustrate the point this article opened with: the recovery speed came from reliability monitoring, backup, and disaster recovery operating as one coordinated system rather than three separate tools handed off between teams.

Learn more about our cases.

Where infrastructure management is heading

A few shifts are changing what “reliable” will mean over the next few years:

  • Predictive, AI-assisted monitoring
    Rather than alerting after a threshold is breached, infrastructure platforms are increasingly forecasting failures from early signal drift, giving teams time to intervene before an outage starts.
  • Self-healing systems
    Automated remediation — restarting a failed service, rerouting traffic, scaling a resource — is moving from “nice to have” to a baseline expectation, reducing how much of recovery depends on a human being awake and available.
  • Multi-cloud and edge resilience
    As more workloads run outside a single cloud provider’s boundary, disaster recovery increasingly means coordinating failover across providers, not just within one.
  • Zero trust as a DR requirement, not just a security one
    Identity and access controls are becoming part of the recovery workflow itself, not a separate layer applied afterward.

Conclusion

Reliability, backups, and disaster recovery aren’t three separate purchases — they’re one operational discipline, and the providers that treat them that way tend to recover faster when it counts. Before signing with any infrastructure management provider, get their SLA, RTO/RPO targets, testing cadence, and exit terms in writing, and ask to see a real recovery case study with actual numbers rather than projected ones.

Need infrastructure management with reliability, backup, and disaster recovery built in from day one?

Talk to Gart Solutions

Fedir Kompaniiets
Fedir Kompaniiets
DevOps and Cloud Architecture Expert Co-founder of Gart

FAQ

What does an infrastructure management provider actually do?

An infrastructure management provider handles the ongoing operation of your IT environment — server and cloud provisioning, monitoring, patching, capacity planning, and incident response — along with the backup and disaster recovery needed to keep systems available when something fails.

What's a realistic RTO and RPO for a mid-size business?

For business-critical systems, an RTO of under a few hours and an RPO of under an hour is achievable with modern cloud-based disaster recovery. Less critical systems can tolerate longer recovery windows at lower cost. The right numbers depend on what an hour of downtime actually costs the business.

How is infrastructure management different from just backup and disaster recovery?

Backup and disaster recovery are the safety net for when something fails. Infrastructure management is the ongoing operation — monitoring, patching, capacity planning — that determines how often something fails in the first place and how quickly it's noticed. A provider that only offers backup is covering one part of reliability, not all of it.

How often should disaster recovery be tested?

Quarterly full failover drills are a reasonable baseline for most businesses; regulated industries such as finance and healthcare often test monthly. A provider should be able to show you a report from the most recent test, not just describe the testing process in general terms.

What certifications should an infrastructure management provider have?

At minimum, look for certifications relevant to your industry — GDPR for EU personal data, HIPAA for healthcare, PCI DSS for payment data — plus a broader security management certification such as ISO 27001 or SOC 2 that signals an audited process rather than a single compliance checkbox.

Is a managed, assisted, or self-service model right for my business?

Managed fits teams without in-house DR expertise. Assisted fits organizations with some internal IT capacity but limited DR-specific experience. Self-service fits enterprises with dedicated SRE or DR specialists who want full control and lower long-term cost. Matching the model to your actual team capacity matters more than picking the model with the most features.
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