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# Extend AWS with Kong

The unified platform for every API, model, and agent you build on AWS, and every environment you run next.

## Why Graduate to Kong?

### Deploy Kong the way you want

Run Kong-managed gateways in AWS regions today, and extend to Azure, GCP, on-prem, and hybrid tomorrow under one control plane. This allows you to run locally to the workload for data sovereignty performance and unmatched flexibility for your developer & infrastructure teams. With Kong, your API + AI platform unleashes your long-term architecture.

### Scale when you need it

Long-running AI inference, large payloads, and high-throughput APIs can run into [_AWS API Gateway's_](https://aws.amazon.com/about-aws/whats-new/2024/06/amazon-api-gateway-integration-timeout-limit-29-seconds/)_AWS API Gateway's_ limits: HTTP APIs have a fixed 30-second integration timeout, REST APIs default to 29 seconds unless increased for Regional/private APIs, and payloads are capped at 10MB. Kong's configurable runtime gets out of the way without the same quota tradeoffs.

### Govern every model, everywhere

Bedrock and AgentCore handle AWS-hosted models and agents beautifully. Kong AI Gateway supports cross-cloud, on-premesis, cross-model provider routing, token budgets, MCP, A2A, and PII protection for everything your company needs to access today and in the future.


### Simplify the connectivity layer

A production AWS stack may combine multiple components: API Gateway, Lambda, Cognito, WAF, CloudWatch, Bedrock, AgentCore, and more. Kong unifies APIs, AI, MCP, agents, and observability through a single control plane, and still uses every AWS service you already love underneath.

## Kong vs. AWS: Head-to-Head Comparison

For a detailed feature comparison, download the PDF.

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Capabilities

Kong

AWS

API Management (Compared to Amazon API Gateway)
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SaaS managed deployment

Self-hosted and hybrid deployment

Multi-cloud support

Configurable request timeouts

Limited

Configurable payload size

10MB payload limit

Multi-protocol support

HTTP, REST, and WebSocket APIs only

Declarative config

Developer portal

API Service Catalog

LLM Management (Compared to Bedrock)
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Cross-cloud and cross-provider model access

Limited. AWS-only delivery; no cross-cloud model portability

Semantic routing beyond Bedrock

Cross-provider failover (maybe beyond bedrock)

Semantic caching

Prompt caching only

Per-user, per-group, per-model rate limiting

Account/model quotas only

Token-aware budgets

Monitoring only

PII sanitization

Custom guardrails

AWS-managed guardrails only

Deterministic response verification

Built-in metering & billing

AWS billing only

MCP Management (Compared to optional AI Gateway in AgentCore)
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Managed MCP server hosting

Auto-generate MCP servers from existing APIs

MCP tool ACLs with default-deny enforcement

Limited

OAuth scope-based per-tool authorization

Limited

Per-agent, per-tool rate limiting

Protocol translation

REST/Lambda-focused

MCP registry integration & tool discovery

Built-in runtime semantic tool search

Coming soon

Built-in execution tools (code interpreter, browser)

A2A Management (Compared to AgentCore)
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Native A2A protocol support

Agent-to-agent auth & token exchange

Limited

Per-agent identity & service account support

Structured agentic analytics & traffic logging

Instrumentation-dependent

Multi-agent orchestration governance

Limited. App/framework-level logic

Cross-cloud agent communication

Real-time entitlement enforcement on agent traffic

## Related resources