Cloud object storage provides unlimited scale for unstructured data — backups, media assets, logs, data lake files, and application artifacts — at a fraction of the cost of on-premises storage, with built-in durability, versioning, and lifecycle management.
Object storage is the foundation of cloud-native data architecture — but choosing the right tier, designing the lifecycle policy, and controlling egress costs requires advisory that goes beyond the defaults.
A structured advisory process — from discovery and market evaluation to negotiation and post-deployment optimization — tailored to your specific environment and objectives.
We catalog your unstructured data — volume, access frequency, retention requirements, and compliance obligations — and classify it into tiers (hot, warm, cold, archive) that determine the optimal object storage configuration.
We evaluate S3, Azure Blob Storage, GCS, and object storage alternatives — including Cloudflare R2 and Backblaze B2 for egress-sensitive workloads — against your access patterns, durability requirements, and cost profile.
Automated lifecycle rules that move objects between storage tiers based on age or access patterns dramatically reduce storage costs without requiring manual intervention. We design policies aligned to your data retention requirements.
Object storage access patterns drive egress costs. We design the access architecture — CDN integration, VPC endpoints, cross-region replication policies — that minimizes egress spend while maintaining availability.
These are the dimensions that consistently separate successful deployments from costly ones — and the questions RLM will help you answer before any commitment.
Standard object storage (S3, GCS, Azure Blob) offers 11-nines durability. Evaluate whether higher availability tiers (multi-region redundancy) are required for your most critical data.
Archive tiers (Glacier, Azure Archive, GCS Coldline) offer dramatically lower storage costs but significant retrieval latency and cost. Evaluate retrieval SLAs for each data classification before committing to archive tiers.
Object storage charges for data transfer out to the internet and between regions. Evaluate your access patterns and architecture for egress cost exposure — often the hidden driver of high object storage bills.
Manual data management doesn't scale. Evaluate the sophistication of lifecycle policy support — event-driven transitions, tag-based policies, cross-bucket rules — against your data governance requirements.
Regulated data retention requires immutable storage with WORM capabilities. Evaluate Object Lock, compliance mode retention, and audit logging features for your compliance requirements.
Data stored in proprietary object storage formats can be difficult to migrate. Evaluate S3-compatible APIs and the portability of your data if your cloud strategy evolves.
"RLM helped us rationalize our multi-cloud spend and identify over $1.2M in annual savings. Their approach was methodical and unbiased — exactly what we needed."
"Our migration was stalled for months. RLM came in, assessed the gaps, and helped us select a managed services partner that got us across the finish line in 60 days."
Start with a no-cost conversation with an RLM cloud advisor — vendor neutral, no agenda, just clarity on the right path forward.
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