Engineering insights, tutorials, and updates from the WSO2 API Platform team.
REST API design, authentication, versioning, error handling, and the foundational patterns every API developer needs.
Buyer's guides, head-to-head comparisons, and deep dives on API management platforms, gateways, and tooling.
What AI gateways are, how they work, and how to use them for routing, caching, and governance of LLM traffic.
Frameworks, tools, and best practices for governing APIs at scale — from design linting to lifecycle management and compliance.
What is an agentic enterprise, and how do you actually become one? A practical roadmap covering the architecture, the stages, and what to get right first.
Learn how AI agent memory actually works: the four memory types, vector vs. graph storage, session management, and how to design a memory layer that scales.
AI agents retry aggressively and don't know when it's safe. Learn the idempotency patterns that keep retries from becoming duplicate actions.
How ScheduleMe, a supervisor-and-specialists calendar assistant, performed across six languages: architecture, results, failure modes, and lessons
REST and MCP solve different problems for AI agents. Compare discovery, state, and auth, and see how to govern both from one control plane.
OpenAI function calling and Anthropic tool use carry a model's tool calls, and MCP complements them. Compare schemas, execution flow, and when to use each.
What makes an API agent-ready: clear semantics, machine readable exposure, governance, and observability, plus current standards and how to implement each.
What GDPR, HIPAA, SOC 2, and PCI DSS require from your APIs: data handling, access control, audit logging, and what changes with AI APIs.
The practices that make API governance stick at scale: design reviews, CI linting, breaking-change policies, deprecation cadences, and clear ownership.
A practical walkthrough for designing an API governance framework: stakeholders, standards, enforcement, and the metrics that prove it's working.