Size CDN origin server hosting for sustained cache-miss demand
Run a customer-operated origin on isolated dedicated servers sized for cache misses, revalidation waves, dynamic requests, concurrent fills, source reads, and recovery load.
Dedicated server hosting built for origin pressure
Size cache-miss capacity from measured demand
Reserve CPU, memory, connections, and egress for cache misses, revalidation waves, and concurrent edge fills.
Measure and attribute origin source reads
Match SSD or NVMe throughput to object size, read concurrency, hot files, application state, and recovery demand.
Own the full origin operating boundary
Your team owns the origin application, source data, access controls, deployments, observability, backups, and incidents.
Offload eligible reads through global CDN
Cache approved responses through global CDN while the origin serves source data, misses, and dynamic requests.
Available configurations
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High cache-hit ratios can conceal hidden origin capacity
A high edge-cache hit ratio can conceal an undersized source tier during routine traffic. Purges, expiry waves, regional cold starts, and sudden bursts concentrate misses and revalidation at the origin, where CPU, storage throughput, connection capacity, and egress can bottleneck independently across the complete request path during fills and recovery.
At Melbicom, we provide isolated hardware with configurable CPU, RAM, SSD or NVMe storage, bandwidth choices, and regional deployment options. Size resources from miss-path request rate, object size, fill concurrency, dynamic traffic, and recovery objectives. This ties sizing to measured workload evidence while your team operates the origin application.
Use the dedicated origin as the source-of-truth tier and global CDN as the delivery layer for eligible cached responses. Your team retains cache headers, purges, TLS, access controls, replication, backups, restores, monitoring, failover logic, and incident response, keeping ownership explicit across every fill, purge, and recovery event under production load.
Make origin performance visible under cache-miss pressure
Track the source tier by workload evidence, not average edge behavior.
Cache-miss headroom
Predictable fill throughput
Attributable origin latency
Controlled recovery capacity
Clear source-tier ownership
Fewer repetitive origin fetches
Set the origin capacity plan
Match hardware, network, access, and operating ownership to measured origin demand before launch.
Isolated CPU and memory capacity
SSD or NVMe storage choices
Bandwidth sized for edge fills
Regional placement for origin paths
Ready-to-deploy server configurations
Custom hardware configuration choices
Access to 24/7 technical support
CDN caching for eligible content
Edge delivery for cached responses
Customer-owned cache and purge rules
Plan origin capacity
Share miss-path demand, storage needs, bandwidth targets, and recovery goals with us.
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Origin workloads that expose hidden bottlenecks
Deliver source objects during peak load
Use storage sized for concurrent fills and direct reads when serving packages, media files, and large source objects.
Serve dynamic application responses at scale
Use compute and connection capacity for personalized responses, APIs, and requests that must bypass edge caching.
Absorb purge and revalidation waves
Model expiry bursts and invalidation waves so the origin absorbs concentrated revalidation and cache-refill traffic.
Recover from regional cache cold starts
Hold capacity for regional cold starts, failover traffic, restore reads, and temporary replication during recovery.
Separate authoritative source data paths
Separate hot working data, durable source files, and application state so every path receives measured origin capacity.
Coordinate replicated origin recovery
Use replicated or load-balanced origins when objectives justify synchronization, health checks, routing, and tested recovery.
Distribute static assets through the edge
Use the content delivery network for approved static responses while the origin retains authoritative source data.
Distribute cacheable software packages
Use the CDN network for cacheable packages and media, reducing repeated reads from the customer-operated origin.
FAQ
What is a CDN origin server?
Why size beyond average cache-hit ratio?
Which origin demand signals matter most?
How should origin capacity and global CDN work together?
Who owns the origin application and data?
How should origin access be controlled?
When do redundant origins make sense?
How should origin storage capacity be sized?
Where can Melbicom deploy origin infrastructure?
What support does Melbicom provide?
Create your account
Access the control panel, fund your balance, and choose an origin configuration for deployment.
Create an account
Map origin requirements
Share cache-miss demand, object sizes, storage needs, region, and recovery goals with our team.
Talk to an expert