Keeping the Business Healthy with API Monitoring and Analytics

Millions of us use wearable devices for health and fitness tracking — but few of us are ready to let these gadgets replace visits to the doctor and other health and wellness professionals. Indeed, if anything, data from these devices can help doctors to be effective, with different professionals leveraging the data in different ways.

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API Fortress at QA Financial Forum: Innovate Faster With Less Risk

Banks are moving to microservice architectures. This is a fact. The reality is that the best way for banks to keep up with startups like Robinhood is to “innovate faster.” While this is a buzzword, fundamentally it means pushing their offerings forward. Simply having an app isn’t enough. That app needs to do more. All of this, combined with PSD2 & Open Banking Initiatives, has led to the mass shift from legacy to RESTful API microservice architectures.

Apigee API Monetization: Maximize the Business Value of Your APIs

There are many ways businesses can derive value from APIs. Exposing APIs can result in co-innovation with developers and opens up the potential to grow new ecosystems around your digital assets and services. In some cases, your API products present the opportunity to create whole new direct revenue models.
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GraphQL API Workflows

API Fortress can easily test GraphQL API workflows. What’s GraphQL? Well, it might be best just to take a look at how they describe themselves: GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.

Accelerating API Performance Problem Resolution with API Monitoring

With a solid API Monitoring strategy and practice in place, it becomes easier to find and fix issues rapidly, as well as increasing the amount of feedback so your teams can continuously improve. In fact, our State of API Survey found that teams that prioritize API Monitoring as a strategy are able to resolve API issues in less than 24 hours.

New Kong Settings for Service Mesh

This post is the last in a three-part series about deploying Kong as a service mesh. The first post discussed how we define the term “service mesh” here at Kong, and the second post explained the architectural pattern used to deploy Kong as a mesh. In this post, we will talk about the new features and configuration options we added to give Kong its mesh capabilities.