CDN77 Storage Clusters: Zero Transfer Fee Guide
CDN77 eliminates data transfer fees between its clusters and CDN infrastructure, a distinct advantage for high-volume workflows. This guide maps the specific cluster locations deployed by CDN77, differentiating between the HDD based systems in New York City and Prague versus the low-latency SSD option exclusive to Prague. We detail the practical steps for S3 API integration using the AWS SDK, demonstrating how developers can use these supported languages to build resilient cloud applications without incurring hidden traffic costs. Direct integration matters for performance and budget.
The Role of S3-Compatible Object Storage in Managing Unstructured Data
S3-Compatible Object Storage vs File Hierarchies for Unstructured Data
Traditional file hierarchies trap data in nested directories, creating depth constraints that slow down retrieval as scales grow. Object storage breaks this mold by organizing data into flat namespaces where each object contains both the payload and its associated metadata. This structure scales horizontally without the complexity of sharding logic or directory depth limits. Because all Object Storage clusters are compatible with S3 API operations, these systems integrate directly with the AWS SDK and standard tools.
| Feature | File Hierarchy | Object Storage |
|---|---|---|
| Structure | Nested Directories | Flat Namespace |
Developers can apply the AWS SDK for supported programming languages to manage these objects immediately. No application rewrites are required to switch from a folder-based mindset to an object-based reality.
Deploying SSD Clusters in Prague for Low-Latency CDN Workflows
The CDN77 SSD Object Storage deployment in Prague, Czech Republic, leverages high-speed SSD technology to deliver lower latency, higher bandwidth, and quicker read/write speeds than traditional HDDs. This makes SSDs ideal for handling large volumes of files efficiently. While HDD clusters are available in multiple locations, the SSD option is currently available exclusively in the Prague region.
HDD clusters remain viable for storage across multiple geographies, but the SSD option targets datasets demanding rapid access.
| Feature | SSD Cluster (EU-3) | HDD Cluster (EU-1) |
|---|---|---|
| Location | Prague, Czech Republic | Prague, Czech Republic |
| Performance | High IOPS, Low Latency | Moderate IOPS, Higher Latency |
| Best Use | Live Streaming, AI Training | Backups, Archives |
The SSD Object Storage provides the same solution as HDD clusters but is built on high-speed SSD technology, removing mechanical seek times from the equation.
Inside CDN77 Architecture: Cluster Locations and Low-Latency Data Flow
How CDN77 Cluster Locations Define Latency Profiles
Prague hosts two distinct storage tiers within the EU-1 and EU-3 clusters, separating performance needs by drive type. The EU-1 cluster uses HDD technology in Prague, Czech Republic, while the EU-3 cluster deploys SSD drives in the same city to minimize read/write delays. A separate US-1 HDD cluster resides in New York City, USA, serving North American traffic with distinct geographic constraints. This configuration, updated on 27th November, 2024, establishes clear performance tiers based on hardware.
Speed defines the SSD architecture compared to traditional spinning disks. Lower latency and higher bandwidth characterize these drives, making them necessary for high-throughput workloads. Integration with the CDN ensures that traffic between storage and the edge network remains free, optimizing the data flow from the private origin to the end user. Operators must choose between the cost-effective capacity of HDD systems or the speed of SSD arrays depending on their access patterns.
| Cluster | Media Type | Location | Primary Use Case |
|---|---|---|---|
| EU-1 | HDD | Prague | General Storage |
| EU-3 | SSD | Prague | High-Performance Data |
| US-1 | HDD | New York City | Regional Storage |
Selecting the Prague SSD node eliminates mechanical seek times but restricts primary data residency to Europe. Users may map critical datasets to the EU-3 cluster for speed while routing cold backups to EU-1 or US-1 for economic efficiency.
Implementing Zero-Egress Data Flows for Unstructured Assets
Discrete objects containing both payload and metadata replace rigid file hierarchies for efficient unstructured data storage. This architecture eliminates file hierarchy bottlenecks and scales horizontally without complex sharding logic. All clusters support standard S3 API operations, allowing smooth integration with the AWS SDK for existing programming workflows. Operators can ingest massive datasets using familiar tools while avoiding proprietary lock-in or application rewrites.
Native integration within the same network boundary removes traffic charges between the storage system and CDN infrastructure. Traffic and requests between the storage system and the CDN infrastructure are free of charge because the service integrates natively within the same network boundary. This design creates a zero-egress zone where moving data from disk to edge incurs no monetary penalty.
| Component | Function | Cost Impact |
|---|---|---|
| Object Storage | Holds data and metadata | Base storage rate |
| CDN Integration | Routes traffic to edge | Zero egress fee |
| S3 API | Manages object lifecycle | No extra cost |
True low latency requires selecting the correct underlying medium for the workload. The constraint is geographic; currently, high-performance SSD options are limited to Prague, whereas HDD tiers are available in both Europe and the United States.
Media streaming pipelines benefit most from this zero-egress pattern since repeated access to the same assets would otherwise inflate monthly bills. Using this internal routing ensures data moves within the free traffic zone, avoiding charges associated with external data transfer paths.
Implementing S3 API Integration Using AWS SDK for Scalable Cloud Storage
AWS SDK Integration Mechanics for S3-Compatible Endpoints
Developers configure the AWS SDK for CDN77 Object Storage by specifying a custom endpoint URL instead of importing new libraries. Standard S3 operations map directly to the specific cluster address, allowing immediate interaction with unstructured data through familiar AWS SDK methods. Applications designed for Amazon S3 run on alternative backends without requiring architectural rewrites. The metadata attached to each object survives the transfer intact, maintaining data governance policies across hybrid environments. Eliminating egress charges for traffic moving between storage and the CDN layer offers a distinct financial advantage.
| Configuration Parameter | Standard AWS Value | CDN77 Custom Value |
|---|---|---|
| Endpoint URL | `s3.amazonaws.com` | `eu-3.cdn77-storage.com` |
| Region | `us-east-1` | Specific cluster region |
| Access Key | IAM User Key | Account API Key |
Logical configuration ties closely to physical geography, shaping latency profiles for specific datasets. SSD clusters deliver performance gains while application logic remains unchanged.
Configuring Zero-Egress Data Flows Between Storage and CDN
Internal traffic flows between storage buckets and the content delivery network avoid outbound data charges completely. Teams must set their AWS SDK endpoint to match the specific cluster URL so requests route through the private backbone rather than the public internet. This architecture guarantees that traffic moving between the origin and edge nodes incurs $0 egress fees, a critical distinction from standard cloud models that levy per-gigabyte taxes on every transfer. Direct integration into the CDN infrastructure makes traffic and requests between the storage and the CDN free of charge. Treating the storage layer as a private origin rather than a public web server allows high-volume delivery scaling without linear cost increases. Storage becomes a scalable foundation for global content distribution instead of a simple cost center.
About
Alex Kumar is a Senior Platform Engineer and Infrastructure Architect at Rabata.io, where he specializes in Kubernetes storage architecture and cost optimization for cloud-native applications. His deep expertise in persistent storage and CSI drivers makes him uniquely qualified to explain the technical advantages of CDN77 Object Storage. In his daily work, Alex designs scalable infrastructure that demands high-performance, S3-compatible solutions without the complexity of traditional file hierarchies. He directly uses CDN77's smooth integration with CDN infrastructure to eliminate egress fees, a critical factor for the media and AI sectors Rabata.io serves. By focusing on infrastructure-as-code and observability, Alex ensures that storage implementations are both reliable and transparent. His practical experience deploying SSD Object Storage clusters for enterprise clients allows him to articulate how this architecture supports efficient management of unstructured data. Through his role at Rabata.io, Alex bridges the gap between theoretical storage concepts and real-world performance optimization.
Conclusion
Scaling media delivery often fails when hidden transfer costs outpace budget projections, turning high-traffic success into an operational liability. The architectural shift required here moves beyond simple compatibility checks to fundamentally rethinking how origin traffic is routed. You should migrate high-volume static assets to a storage backend that treats the delivery layer as a trusted internal network rather than an external consumer. This approach is specifically necessary for projects anticipating sustained growth where per-gigabyte egress fees would otherwise erode profit margins. Do not wait for a quarterly budget review to address these accumulating variable costs; initiate the transition during your next planned maintenance window.
Start this week by updating your application's configuration to point the Endpoint URL to the specific cluster address provided by your storage vendor. This single change forces traffic onto the private backbone, immediately halting public internet egress charges for content delivery. Verify that your AWS SDK calls apply this custom endpoint to ensure data moves freely between your buckets and edge nodes. By securing this zero-egress pathway now, you lock in a predictable cost structure that supports aggressive scaling without financial penalty.
Frequently Asked Questions
Traffic between the storage and CDN infrastructure is free of charge. This zero-fee structure eliminates hidden egress costs when serving unstructured assets directly from CDN77 clusters.
All clusters support S3 API operations for seamless integration with current tools. Developers can manage objects using the AWS SDK across supported languages without application rewrites.
The SSD Object Storage option is available exclusively in Prague, Czech Republic.
HDD clusters reside in Prague, Czech Republic and New York City, USA.
Data is organized into objects containing payload and metadata instead of nested folders.
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