Cloud Storage: Object, Block & File

How it works

Three kinds of storage

Object storage (S3, Blob Storage, Cloud Storage) holds files and blobs behind an HTTPS API. It scales without limit, is extremely durable and is the default home for new data, backups, data lakes and AI training sets.

Block storage is a virtual disk attached to one VM, the right choice for databases and boot volumes. File storage gives many machines a shared folder over NFS or SMB, and high-performance parallel file systems serve AI training and HPC.

Tiers, lifecycle and protection

Object stores offer tiers: hot for frequent access, then cool, cold and archive at progressively lower storage prices but higher retrieval costs. Lifecycle rules move data down the tiers automatically by age or access pattern.

Protection comes in layers: snapshots for quick recovery, a backup service with policies and vaults, and immutable storage (write once, read many) so not even an administrator, or an attacker with stolen credentials, can delete copies before their retention ends.

AWS, Azure and Google Cloud compared

What makes each cloud different

Design decisions that matter

1. 01Object storage by default

   Use block or file storage only when an application genuinely needs a disk or a shared folder.

2. 02Lifecycle rules on day one

   Every bucket gets a rule; let automatic tiering handle unpredictable access patterns.

3. 03Choose redundancy deliberately

   Match zone, region and geo-redundancy to each dataset's recovery needs and cost.

4. 04Immutable backups for critical data

   Lock retention so ransomware cannot delete your last good copy.

5. 05Test restores, not just backups

   Schedule restore drills and measure how long they really take.

Common mistakes we see

• Archiving data you still read. Retrieval and early-deletion fees can exceed the storage savings.
• Unattached disks and old snapshots. Orphaned volumes keep billing long after the VM is gone.
• Public buckets by accident. Block public access at the account or organization level and allow exceptions explicitly.
• Backups in the same blast radius. Copies in the same account and region fall with the original.

A practical 30-day plan

1. Week 1

   Inventory buckets, disks and file shares with size, access and owner.

2. Week 2

   Apply lifecycle rules and delete orphaned disks and snapshots.

3. Week 3

   Set backup policies with immutable vaults for critical data.

4. Week 4

   Run a restore drill and block public access organization-wide.

How NTS helps

NTS designs storage architectures across AWS, Azure and Google Cloud: tiering and lifecycle strategies, backup and immutability for ransomware resilience, and high-performance file systems for AI and analytics. We also find and remove storage waste that has built up over years.

How we work with you

1. 1Assess

   A focused review of your cloud storage across AWS, Azure and Google Cloud. We look for the gaps we find most often: archiving data you still read, unattached disks and old snapshots, public buckets by accident and backups in the same blast radius.

2. 2Design

   A target architecture and roadmap built on the decisions that matter most: object storage by default, lifecycle rules on day one, choose redundancy deliberately, immutable backups for critical data and test restores, not just backups.

3. 3Build

   Hands-on delivery alongside your team. We inventory buckets, disks and file shares with size, access and owner, apply lifecycle rules and delete orphaned disks and snapshots, set backup policies with immutable vaults for critical data, and finally run a restore drill and block public access organization-wide.

4. 4Run and improve

   We monitor storage growth and access patterns, tune lifecycle rules and clean up orphaned volumes and snapshots on a regular schedule.

Why teams choose NTS for cloud storage

• The right storage for each job

  We match object, block and file storage to how data is really used, instead of defaulting to the most expensive option.

• Security without friction

  We lock down public access and encryption by policy, so nobody has to remember to do it.

• Savings that keep compounding

  Lifecycle rules keep cutting costs every month as data ages.