Storage bill nobody can explain
Petabytes across hundreds of buckets with no tagging, no lifecycle rules and no owner. We attribute it, tier it and put policy around it.
NubesStorage designs and runs object, file and block storage on AWS, Azure and Google Cloud — with lifecycle policies, immutable backups and encryption applied by default.
Storage is the line item that grows quietly. Data lands in a default tier, retention is set to "keep everything", snapshots accumulate without owners, and three years later a large share of the bill sits on hot storage nobody has read since it was written.
NubesStorage puts structure around that: a tiering model matched to how data is actually accessed, lifecycle rules that move and expire objects automatically, immutable backup copies for the data that matters, and encryption and access controls that hold up to a security review.
We read access patterns before setting policy, so archive tiers hold genuinely cold data and you do not pay retrieval fees on objects your application reads weekly.
Object lock and versioning mean a compromised credential or a bad script cannot delete or overwrite your recovery point during the retention window.
Transitions and expirations run automatically against tagged data, so storage hygiene is a policy rather than an annual scramble.
Cross-region and cross-account replication configured for the resilience and data residency requirements you actually have to meet.
Inventory buckets, volumes, file shares and snapshots. Map access frequency, growth rate, cost per dataset and retention obligations.
Match each dataset to a storage class and retention rule, decide where intelligent tiering beats fixed policy, and model the resulting cost.
Apply lifecycle rules, encryption and access policies as code. Configure backup with immutable retention and replication where required.
Run restore drills to prove recoverability, then monitor growth, cost per dataset and policy drift on an ongoing basis.
Petabytes across hundreds of buckets with no tagging, no lifecycle rules and no owner. We attribute it, tier it and put policy around it.
Backups run and report success, but no one has tested a restore. We drill it, measure it and fix the gaps the drill exposes.
Regulatory retention periods, legal hold and data residency requirements enforced through storage policy rather than good intentions.
It depends on access frequency and how quickly you need data back. Standard suits frequently read data; infrequent-access tiers suit monthly reads; archive tiers suit compliance data read rarely, with retrieval time and fees as the trade-off. Where access is unpredictable, intelligent tiering usually beats a fixed choice because it moves objects automatically based on real access.
On estates with no lifecycle management, storage savings of 40–60% are common, because most of the data has not been read in months but is still billed at hot-tier rates. The exact figure depends on your access profile, which the assessment measures directly.
Object lock or equivalent retention locking prevents deletion or overwriting for a defined period, even by an administrator. Combined with versioning and a separate account boundary, it means ransomware or a mistaken script cannot destroy your recovery point.
At rest with AES-256 and in transit with TLS. You can use provider-managed keys or customer-managed keys in a KMS where you control rotation, access policy and audit logging. Regulated environments generally want customer-managed keys so key access is separable from data access.
Egress is a real design constraint, not an afterthought. We plan for it by keeping compute close to data, using CDN caching for distributed reads, choosing replication patterns that avoid unnecessary cross-region transfer, and flagging retrieval fees on archive tiers before you commit to them.
Yes. Managed file systems supporting NFS and SMB, sized for the throughput and IOPS your application needs, are part of the design where object storage is not the right fit — for example, legacy applications that expect a POSIX file system.
Send us your current storage footprint and we will map access patterns to a tiering model, with the projected monthly saving.
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