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In token-based architecture, tokens represent the client’s entitlement to access protected resources. Access tokens (or bearer tokens as they're commonly known) are issued by authorization servers after successful user authentication. The tokens are passed as credentials in the request to the target APIs which inform the API that the bearer of the token is authorized to access the API and perform certain actions.

APIs (application programming interfaces) are increasingly acting as the “missing link” to help organizations integrate all their systems, applications, and databases. So how can you take advantage of API integrations for yourself? The answer is API-led connectivity. API-led connectivity is a systematic approach that uses APIs to seamlessly integrate diverse technologies within an organization, enabling efficient data and application access while fostering agility and innovation.

We’re excited to announce the general availability of Kong Gateway 3.5 for Open Source (OSS). This release enables Javascript developers to extend the Gateway via the WebAssembly layer which is currently in Beta, delivers some enormous observability enhancements, and unlocks top-end performance. Keep reading for the latest on Kong Gateway 3.5 for OSS!

Kong Gateway Enterprise 3.5 is packed with security features to support the use cases demanded by our enterprise customers through major improvements in Secrets Management integrations and our Open-ID Connect (OIDC) plugin. Additionally, we’ve added key security updates for a few of our AWS integrations.

This article is based on Ballerina Swan Lake Update 7.2. Today, I want to share insights into implementing GraphQL subgraphs in Ballerina. But before we dive into coding, let's take a moment to understand GraphQL federation and the problems it solves. Ballerina Swan Lake WSO2 is an open-source and cloud-native programming language optimized for integration GraphQL Federation is a way to build a unified GraphQL API by combining multiple GraphQL services.

Monetizing an AI-based API can be a strategic decision that holds the potential to drive growth and financial stability for artificial intelligence companies. An API that doubles as an AI tool offers valuable services and capabilities that can be utilized by a diverse range of users and industries.