Data and workload profiling
Examine capacity, growth, file sizes, I/O patterns, latency sensitivity, concurrency, retention and business ownership.
Request a consultationCapacity, performance and control in balance
Design storage around data growth, workload behaviour, access patterns and protection requirements.
Where the work begins
Storage architecture influences application responsiveness, recoverability and operating cost. Atmic Systemics assesses file, block and workload requirements before recommending a design, helping teams make informed choices about direct-attached storage, network-attached storage (NAS), storage area networks (SAN) and other appropriate platforms. Capacity is considered alongside latency, throughput, resilience, security, management and future expansion.
Problems we help address
Scope and capabilities
Final scope depends on the environment, priorities, product entitlements and agreed responsibilities.
Examine capacity, growth, file sizes, I/O patterns, latency sensitivity, concurrency, retention and business ownership.
Evaluate file-level NAS and block-level SAN approaches against application, protocol, network, skills and availability requirements.
Match media, caching, connectivity and data placement to measured or stated workload needs, with assumptions clearly recorded.
Plan logical structure, role-based access, administrative separation, monitoring, alerting and capacity reporting.
Align storage snapshots or replication with independent backup, retention and disaster-recovery requirements rather than assuming one mechanism covers every risk.
Potential business benefits
Practical use cases
Create a governed shared platform with defined ownership, access groups, quotas where appropriate, backup and migration controls.
Plan datastore capacity, latency, paths and resilience around host clusters and the behaviour of priority virtual machines.
Identify growth drivers, reclaim opportunities, archival needs and expansion choices before capacity pressure becomes an operational incident.
Assessment and implementation
Each stage establishes evidence for the next decision. The sequence is adjusted to suit risk, dependencies and change windows.
Collect inventories and available metrics, identify data owners and classify workloads by access, performance, protection and retention needs.
Model viable architectures, network and protocol dependencies, usable capacity, resilience overhead and scale paths.
Prepare destinations, permissions and backup coverage; schedule data movement, delta synchronisation, cutover and rollback where feasible.
Check access, application connectivity, performance indicators, alerts, capacity reporting and recoverability before handover.
Typical deliverables
Planning considerations
Frequently asked questions
NAS commonly provides file-level access over network protocols, while a SAN provides block storage to hosts. The better fit depends on applications, performance, availability, networking, operations and cost—not only capacity.
Sometimes, but not always. The constraint may be compute, memory, network, application queries, queue depth or configuration. Measurement should guide the change.
A snapshot can support rapid rollback, but many snapshots depend on the source array and may be affected by its failure or compromise. Independent backup copies, retention and recovery tests remain important.
Often they can, provided source and destination identity models, protocols and tools are compatible. Existing permissions should still be reviewed because migration can otherwise preserve unnecessary access.
That depends on growth, procurement lead time, performance behaviour, data-reduction assumptions and platform guidance. The design documents the chosen threshold and how it will be monitored.
Storage Services
Share the current environment, desired outcome and timeline. We’ll help define the right next conversation.