Serverless Architecture
Was ist Serverless Architecture?
Dieser Eintrag liegt derzeit nur auf Englisch vor.
Serverless architecture is an application design where the cloud provider owns the servers, capacity, and scaling, and the team ships application code without provisioning always-on infrastructure. The platform allocates compute automatically as requests arrive and charges only for what runs. In communications the same model underlies a CPaaS — voice, messaging, and video capacity exists on demand instead of as reserved lines or carrier circuits.
More detail
The boundary is operational rather than the absence of servers. The provider's servers still run the code; the team's servers do not. That split removes idle capacity, patching, and sizing work from the application's responsibility, and flips the bill from reserved capacity to per-request, per-minute, or per-message usage.
Teams deliberately mix models. A long-running service with steady load may stay on dedicated containers, while traffic that spikes or arrives on a schedule — business-hours voice minutes, holiday SMS campaigns — rides a serverless, usage-based integration through an API.
The economic claim is published directly by the platforms. A CPaaS provider exposes voice, SMS, WhatsApp, RCS, email, and video through one usage-based API, so a developer never sizes or manages the underlying softswitch or carrier interconnects. The important trade-off is the same: pay-per-use beats idle reserved capacity, at the cost of trusting the provider's routing and scale behavior.
Häufige Fragen
- How is serverless different from PaaS?
- PaaS is the broad platform-as-a-service model (a managed runtime a team builds applications on). Serverless is the narrower pay-per-execution model inside that family: capacity and scaling are automatic and billing covers only the code that actually ran, where a plain PaaS may still expose always-on capacity. A CPaaS is a serverless-flavored PaaS specialized for communications.
- What are the real trade-offs?
- Serverless wins on operations and cost shape — no idle capacity and usage-based billing — while trading convenience for control: scaling behavior, provider routing, and integration shape are the vendor's choices, and a static always-on workload may pay more per unit than it would on reserved capacity.
- Does serverless remove the need for scaling and security planning?
- No. A serverless platform scales capacity automatically but the application team still owns traffic-shifting design (backpressure, queueing), any always-on component the workload needs, and the provider's own availability and compliance posture. The label removes servers, not responsibility.
See also
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