Serverless architecture changes how you route and manage APIs. We compared Kong, Azure API Management, KrakenD, and Aleph Cloud across latency, pricing models, and deployment flexibility to find the best gateway for your serverless stack.
The move from monolithic backends to serverless functions has quietly rewritten the rules for API gateways. A traditional gateway sitting in a single regional data center adds 50–150 ms of cold-start latency to every serverless invocation — which defeats the purpose of going serverless in the first place. The new generation of gateways is edge-native, stateless, and in some cases decentralized.
Here's how the top contenders stack up for serverless workloads.
Kong Gateway is the most flexible open-source gateway you can run today. Its plugin architecture (over 200 plugins for auth, rate limiting, caching, logging) means you can wire up serverless authentication and traffic shaping without writing custom middleware.1
For serverless teams running across multiple clouds — say, AWS Lambda for compute and GCP Cloud Functions for ML inference — Kong acts as a unified control plane. You define routes once, and the gateway handles routing to whichever cloud provider is cheapest or fastest at the moment.
The tradeoff: Kong is complex to self-host. The managed Kong Konnect tier simplifies operations but costs more per request than cloud-native alternatives.
If your serverless functions live inside Azure Functions or Logic Apps, Azure API Management (APIM) is the path of least resistance. It integrates natively with Azure AD, Application Insights, and the broader Azure ecosystem.2
APIM shines in enterprise scenarios where you need API versioning, product tiers, and developer portals out of the box. The consumption tier is serverless itself — you pay per API call with no reserved capacity, which aligns well with spiky serverless workloads.
The catch: you're locking into Azure. Multi-cloud routing is not APIM's strength, and the pricing at higher tiers can surprise teams that don't watch their request volume closely.
KrakenD is built differently. It's a stateless, binary-based gateway that doesn't even have a database — configuration is a JSON file. This makes it absurdly fast: sub-millisecond overhead per request, which matters when every millisecond counts in a serverless chain.1
KrakenD excels as a Backend-for-Frontend (BFF) aggregator. You define an endpoint that calls three different serverless functions, and KrakenD merges the responses into a single payload — cutting client-side latency and reducing cold-start surface area.
The downside: no built-in dashboard or GUI. You manage it through config files and APIs. Teams that want click-ops should look elsewhere.
Aleph Cloud takes a different approach entirely. Instead of routing traffic to serverless functions hosted on AWS or Azure, Aleph provides decentralized serverless compute and storage on a peer-to-peer network.1
For teams building web3-native applications or those who want to avoid centralized cloud vendor lock-in, Aleph's gateway layer handles function invocation, data indexing, and content-addressed storage. It's early compared to the incumbents, but the architecture is genuinely novel — no single point of failure, no regional latency penalty.
The tradeoff: smaller ecosystem and fewer integrations. If you need to connect to Stripe or Twilio via a plugin, you'll likely still route through a secondary gateway.
| Feature | Kong | Azure APIM | KrakenD | Aleph Cloud |
|---|---|---|---|---|
| Latency | Edge (Konnect) | Regional | Sub-ms overhead | P2P edge |
| Pricing | Request-based | Request-based + tiers | OSS free / Enterprise | Node-based |
| Deployment | Managed or OSS | Managed only | OSS / Docker / K8s | Decentralized network |
| Plugin ecosystem | 200+ | Azure-native | Minimal (config-driven) | Growing |
| Best for | Poly-cloud | Azure-native | BFF / high perf | Web3 / decentralized |
Your API gateway choice directly affects three things that matter in production:
Core Web Vitals. Every extra hop adds latency. An edge-native gateway like Kong Konnect or KrakenD can shave 100–200 ms off serverless cold starts compared to a regional gateway — which directly improves LCP and FID scores.
Total cost of ownership. Request-based pricing (Kong, Azure APIM) works well for low-to-medium traffic but can spike unpredictably. OSS options like KrakenD or self-hosted Kong cap costs at infrastructure spend. Aleph's node-based model is a fixed-cost alternative.
Vendor lock-in. Azure APIM ties you to Azure Functions. Kong abstracts the cloud layer. Aleph eliminates the cloud layer entirely. The right choice depends on how much optionality you want to preserve.
Disclosure: Some links on this page are affiliate links. We earn a commission if you make a purchase, at no extra cost to you. Aleph Cloud is a product of AskBuy's parent company — we cover it on merit and mark it clearly.
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