Choosing Everpure storage settles the platform question, and the next decision is how to move production data without disrupting operations. Every database, virtual machine, and backup job depends on the array you are replacing, so the switch is a planning exercise. Pure Storage now operates as Everpure, and this checklist applies under either name.
The five steps below cover assessment, cutover, integration, validation, and support after the move, and they assume your platform decision is made. If you are still confirming fit, Everpure vs Dell Storage: Which Enterprise Storage Solution Fits Your Business? covers the trade-offs. This checklist picks up where that decision ends.
Step 1: Assess Capacity, Performance, and Compatibility
The assessment sets the baseline that every later step is measured against, so it comes before any Everpure storage order. The cost and staffing pressures in 5 Reasons Mid-Market IT Teams Shortlist Pure Storage Solutions from Everpure pay off only when the assessment records your starting point.
- Capacity: Record current usable capacity, growth rate, and data you can archive instead of moving.
- Performance: Capture latency and IOPS baselines at peak hours, such as month-end close.
- Compatibility: Confirm host OS, hypervisor version, HBA and NIC firmware, and protocol. For VMware environments, check hypervisor hosts against the Broadcom Compatibility Guide before ordering hardware.
- Dependencies: List every application, scheduled job, and reporting tool that touches the source array.
Decide early between host-based migration and array-based replication, because the choice shapes your cutover plan. Host-based storage migration is flexible, but it uses CPU and memory on your production servers. Where the source, target, and migration tooling support it, array-based replication can reduce host overhead compared with host-based migration.
Step 2: Choose a Cutover Strategy and Downtime Window
Your cutover approach decides how much downtime the business absorbs during the move. Uptime Institute findings show that 57% of respondents in Uptime’s 2025 survey said their most recent major outage cost more than $100,000. That figure covers outages in general, and it shows why a planned cutover window deserves careful scoping before you set a date.
- Big Bang: One scheduled window moves everything, which suits smaller data sets with natural maintenance windows. A failure partway through means rollback or extended downtime.
- Phased (trickle): Old and new arrays run in parallel while workloads move in waves. It suits mission-critical systems and needs a defined cutover point.
- Near-zero downtime: Compatible replication or migration tooling keeps source and target synchronized until a short final cutover. It suits 24/7 workloads and is the most complex to run.
Build a buffer into every window, because downtime estimates often run optimistic. Set the rollback trigger and share the timeline with application owners before the date is fixed. Moving data center storage affects every team that depends on it, so the schedule needs their sign-off.
Step 3: Plan Integration With Networking, Backup, and Virtualization
- Networking: Plan fabric zoning or VLANs, multipathing, jumbo frames, and switch port capacity for the new array. Check hosts for hardcoded storage paths.
- Backup: Confirm snapshot support and re-point backup jobs before cutover. The Veeam snapshot documentation lists VMware vSphere as the only supported virtualization platform for storage snapshot integration.
- Virtualization: Add datastore mapping, Storage vMotion or equivalent tooling, and host rescans to the cutover runbook. Assign an owner to each runbook step.
Recovery plans reference specific arrays, LUNs, and replication targets, so they go out of date the day production moves. Treat recovery documentation as part of your enterprise storage upgrade scope and update it during the migration. Fold storage changes into the steps in Creating Effective IT Disaster Recovery Plans: A Step-by-Step Approach so restore procedures match the new environment.
Step 4: Test and Validate Before You Retire the Old Array
Define what “done” means before cutover, so success is measured against agreed criteria. Everpure’s migration guide recommends setting success criteria and testing at production scale, since small samples hide performance problems. The guide notes that a two-hour test run can take 20 hours with full production data, and a projected four-hour window can stretch to 12.
- Compare latency and IOPS on the new array against the Step 1 baseline under real load.
- Verify data integrity with checksums and file or row counts.
- Have application owners test critical workflows, such as month-end reporting and login peaks.
- Run a restore test from the new backup jobs, then sign off before decommissioning.
Keep the source array available until sign-off, and define how post-cutover writes will be handled if rollback becomes necessary. Test the rollback plan itself, because a plan that has only been documented is unproven. Carry these validation metrics into Monthly IT Infrastructure Performance Review: A Checklist so the baseline keeps working after go-live.
Step 5: Support Your Everpure Storage Environment After Go-Live
- Tune and monitor: Review Pure1 capacity and performance data, and compare data reduction ratios against what you planned.
- Decommission cleanly: Wipe and retire the old array on a documented date, so orphaned hardware stops drawing power and support fees.
- Assign ownership: Name who owns alerts, firmware, and escalation. Teams without a storage specialist can supplement internal coverage with Managed IT for broader proactive monitoring and 24/7 support.
Contingency planning stays part of the work after go-live. NIST contingency guidance ties contingency planning to the system development life cycle, so a storage change is a reason to revisit the plan. Ownership you define now keeps the environment supported in years two and three, after the migration team has moved on.
Planning Your Everpure Migration With Davenport Group
Move production data only after the assessment, cutover plan, and validation criteria are written down. Before any vendor scheduling call, document four things: usable capacity, the latency baseline, backup dependencies, and the acceptable downtime window.
Davenport Group can help define what needs to change, what must stay reliable, and how the environment is supported after rollout. Davenport Group can help plan the storage, data protection, networking, and support requirements around the migration as part of its broader Data Center Solutions work.
Frequently Asked Questions
How long does an Everpure storage migration take?
Timing depends on data volume, cutover strategy, and the number of dependencies. Assessment and planning often take longer than the data move itself. Phased migrations run longer overall but put less pressure on any single window.
Can a storage migration be done without downtime?
Near-zero downtime is possible when compatible replication or migration tooling can keep source and target synchronized until a short final cutover, though it adds complexity. Many teams still schedule a brief, buffered window for the final switch and keep rollback ready.
What should be tested before retiring old data center storage?
Test latency against your baseline, data integrity with checksums and counts, critical application workflows, and a full restore from the new backup jobs. Keep the old array available until sign-off, and define how post-cutover writes will be handled if rollback becomes necessary.
Does an enterprise storage upgrade to Everpure require new backup software?
Not necessarily. Confirm that your backup platform supports the new Everpure environment and any storage-snapshot integration you rely on, then reconfigure backup jobs and integrations as required. Davenport Group can help plan backup and recovery alignment as part of the rollout.
