Systems | Development | Analytics | API | Testing

APIs are the backbone of the modern enterprise. However, troubleshooting API errors and resolving issues quickly can be challenging given their role in application operational continuity and customer experience. Time-sensitive resolution demands monitoring and deep analytical insights into API performance and usage. Combining both these capabilities in one tool accelerates real-time resolution and empowers stakeholders to surface business-critical API performance metrics through a self-service motion.

We're pleased to announce the general availability of Kong Insomnia 9.3.3. This release ships with numerous improvements, particularly around performance. We strongly recommend updating to this latest version to get the best user experience in your daily workflow with Insomnia.

Manufacturing has been one of the most prominent industries worldwide since the Industrial Revolution. Since then, from producing textiles to computer chips, manufacturers have always looked for ways to innovate. In the age of AI and APIs (or application programming interfaces), tech companies are looking for technological breakthroughs to gain an edge over the competition.

A service mesh is a mechanism for managing communications between the various individual services that make up modern applications in a microservice-based system. When a service mesh is applied, all inter-service communication is routed through proxies, which can be used to implement networking features such as encryption and load balancing.

API rate limiting involves using a mechanism to control the number of requests an API can handle in a certain time period. It's a key process for ensuring that APIs perform to a high level, provide a quality user experience, and protect the system from overload.

As a developer working with microservices architectures, you may find yourself facing numerous challenges. Managing multiple services, each with its own potential points of failure, can be complex. Issues such as communication difficulties, security concerns, and lack of visibility are common in these environments. These challenges are not unique. As microservices architectures expand, they often introduce complexities that can be demanding for development teams to handle.

The router component in the Kong Gateway is a crucial element for traffic handling, allowing the definition of specific matching rules to identify and process client requests. As a core component of the gateway, the router plays a vital role in ensuring the functionality, flexibility, security as well as performance of the gateway.

Efficiently managing your developer portal is critical in productizing your APIs quickly and reliably. A streamlined developer portal ensures that your APIs are easily accessible, well-documented, and secure — driving higher adoption and easier integration. With the increasing demand for APIs across business units, brands, partners, and more, a single developer portal often falls short for both the API owner and the consumers by introducing complexity and slowing productization efforts.

In a previous blog post, we discussed the prevalence of bearer tokens (or access tokens) to restrict access to protected resources, the challenges the sheer nature of bearer tokens present, and available mitigations. To recap, presenting a bearer token is proof enough of an authorization grant to avail the service and access resources protected by the token. This poses many security risks such as using stolen or leaked tokens to gain unauthorized access.