Pricing behavior — Serverless Platforms
•
Pricing
Pricing for Fastly Compute
How pricing changes as you scale: upgrade triggers, cost cliffs, and plan structure (not a live price list).
Sources linked — see verification below.
Freshness & verification
Pricing behavior (not a price list)
These points describe when users typically pay more and what usage patterns trigger upgrades.
Actions that trigger upgrades
- You need more complex state patterns and operational ownership at the edge
- Runtime constraints block required dependencies or workloads
- You need clearer cost modeling for global traffic and networking
What gets expensive first
- Edge state/data locality decisions shape architecture early
- Debuggability requires distributed tracing and consistent logging practices
- Cost mechanics can shift with global distribution and egress
- Lock-in grows if edge-specific APIs are deeply embedded
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend SKUs.
Plans
- Edge request handling - performance lane - Best for low-latency middleware, routing, and programmable edge behavior.
- State strategy - pick the pattern - Decide early how you’ll handle state and data locality (cache/KV/queues) without breaking latency goals.
- Operational ownership - tracing at the edge - Standardize logs/traces so tail latency and failures aren’t invisible.
- Official docs: https://developer.fastly.com/learning/compute/
Next step: constraints + what breaks first
Pricing tells you the cost cliffs; constraints tell you what forces a redesign.
Open the full decision brief →Sources & verification
Pricing and behavioral information comes from public documentation and structured research. When information is incomplete or volatile, we prefer to say so rather than guess.