API gateway concepts and patterns
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AI gateways require specialized rate limiting approaches that account for token consumption, streaming responses, and variable request costs. Traditional request-per-second limits fail to capture the true resource usage of AI workloads. This guide covers token-aware rate limiting strategies, per-tenant quota management, and implementation patterns for production AI gateways.
The OWASP API Security Top 10 (2023) lists the most critical API security risks. An API gateway like STOA helps address several of these at the infrastructure layer — but not all of them. This article maps each OWASP risk to STOA's controls, with an honest assessment of what requires application-level implementation.
stoactl is the command-line interface for STOA Platform that brings kubectl-style API management to your terminal. Install it with one command, authenticate to your Control Plane API, and manage APIs, subscriptions, and MCP tools without touching the web console—ideal for scripting, CI/CD pipelines, and developers who prefer the terminal.
You've installed STOA. The health check returns 200. Now what?
The gap between "it runs" and "it's production-ready" is where most setups fail. This runbook covers your first 7 days with STOA — the operational habits that prevent 3am surprises, the monitoring that catches issues before your users do, and the hardening steps that separate a demo from a real deployment.
Circuit breakers are critical resilience patterns that prevent cascading failures in distributed systems by temporarily blocking requests to unhealthy backends. In API gateways, they act as automatic safety switches that detect failures, stop forwarding traffic to failing services, and allow systems time to recover before resuming normal operations.
You define an API once. STOA exposes it as both a REST endpoint and an MCP tool — same policies, same monitoring, zero duplication. That is the Universal API Contract (UAC), and this tutorial walks you through it in 5 minutes.
Most API platforms force you to maintain separate configurations for each protocol: one for REST consumers, another for AI agents via MCP. That means duplicated rate limits, duplicated auth rules, and twice the surface area for misconfiguration. UAC eliminates that.
Custom MCP tools let you expose any API as an AI-native interface that Claude and other AI agents can discover and invoke automatically. This tutorial walks you through creating, registering, and testing a custom MCP tool using the STOA gateway, from initial YAML definition to live invocation by an AI agent.
Migrating an API gateway is one of the most critical infrastructure changes an organization can make. Done poorly, it causes downtime, broken integrations, and security gaps. Done right, it's invisible to consumers while unlocking new capabilities.
This 15-step checklist ensures zero downtime and zero data loss during your API gateway migration, whether you're moving from webMethods, Kong, Apigee, DataPower, MuleSoft, Oracle OAM, or any other platform.
Proxy throughput benchmarks tell you how fast a gateway can forward HTTP requests. They tell you nothing about whether that gateway can serve AI agents, enforce guardrails on tool calls, or govern autonomous sessions. We built a new benchmark that measures what actually matters.
Migrating from Broadcom Layer7 API Gateway™ to an open-source alternative is a structured process that can be completed in 4-6 months using a phased, zero-downtime approach. This guide covers feature mapping, a five-phase migration roadmap, and practical guidance on translating Layer7's assertion-based policy model to modern open-source equivalents.