Fastly vs Gcore

What Fastly is

Fastly is an edge cloud and CDN with programmable edge compute and very fast cache purging. Instant purge and programmable edge logic are its differentiators: cache invalidation happens in seconds and routing rules run at the edge. It is priced and shaped for teams that treat the CDN as part of the application, not a checkbox.

What Gcore is

Gcore is a proprietary edge and cloud provider with virtual machines, bare metal, managed Kubernetes, containers, functions, storage and networking across a region-dependent footprint. Its current VM page advertises Standard dedicated-vCPU instances from €8.93 per month, free egress and compute billing only while instances are active; prices exclude VAT and vary by location and configuration. The wider cloud calculator shows separate pricing for storage, addresses, load balancers and other services. Pay-as-you-go capacity is available rather than guaranteed, and retained resources must be checked individually when compute stops or is deleted.

What Fastly is built to do

Instant cache purge

Invalidates cached objects across the network within seconds.

Edge compute

Runs custom logic at the edge for routing and personalisation.

Real-time logging

Streams request logs to your own systems as they happen.

What Gcore is built to do

Virtual infrastructure

Offers shared or dedicated-vCPU virtual machines, GPU options and bare metal in selected regions.

Container services

Provides managed Kubernetes and managed container execution with separately billed worker resources and options.

Storage and networking

Combines block, file and object storage with IP, load-balancing and edge-network services.

API automation

Exposes project- and region-scoped infrastructure actions through authenticated APIs.

Choose Fastly if

• Teams that need control over caching behaviour at the edge.

Choose Gcore if

• Latency-sensitive workloads after testing the exact target Gcore region
• VM or Kubernetes deployments that benefit from eligible included egress
• Teams managing infrastructure through APIs and explicit lifecycle automation

Skip Gcore if

• The budget assumes the advertised starting VM price includes every disk, IP, license and service
• The architecture requires guaranteed on-demand capacity without a suitable committed agreement
• A product-specific SLA or compliance badge is being treated as platform-wide coverage

Fastly: pros & cons

• Instant global cache purge
• Programmable edge with VCL and Compute
• Strong performance and observability
• Configuration is developer-oriented
• Pricing suits larger traffic volumes
• Steeper learning curve than simple CDNs

Gcore: pros & cons

• Distributed footprint: Cloud regions and edge-network services can place workloads near geographically diverse users.
• Flexible infrastructure: Virtual machines, bare metal, Kubernetes, containers, functions and storage share one platform.
• Automation support: The control panel, documented API and Terraform-oriented workflows enable repeatable provisioning.
• Active-compute billing: Current VM positioning waives VM compute while stopped and includes egress for eligible VM offers.
• Headline price is conditional: VM family, region, storage, operating system, IPs and VAT change the total.
• Stopped compute is not the whole bill: Persistent storage, snapshots, addresses and adjacent services can remain chargeable.
• Capacity and terms vary: Pay-as-you-go capacity is provided as available, while spot and committed orders have different rules.
• Service-level claims are product-specific: A Kubernetes or Functions SLA must not be assumed to cover every cloud component.