Service Mocking with Kong
In this demonstration, we show how Kong can mock the response from an OpenAPI spec to allow Developers to work on their applications in parallel to APIs being deployed.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Implement a Canary Release with Kong for Kubernetes and Consul
From the Kong API Gateway perspective, using Consul as its Service Discovery infrastructure is one of the most well-known and common integration use cases. With this powerful combination more flexible and advanced routing policies can be implemented to address Canary Releases, A/B testings, Blue-Green deployments, etc. totally abstracted from the Gateway standpoint without having to deal with lookup procedures.
How to load data to REST APIs
You've probably heard of Generic Extractor (Keboola's component for extracting data from virtually any API), and now get ready for Generic Writer. A tool which allows you to load data to REST APIs.
Taking the Leap Seamlessly Transition Legacy Applications to Kubernetes
For many organizations, moving legacy applications to modern cloud infrastructures holds great promise, such as reducing IT overhead and accelerating development times. However, in reality, these projects can be fraught with delays and service interruptions while burdening your team with transition tasks.
Service Design Guidelines with OpenAPI and Kong - Part I
We are in the midst of an explosion of APIs and microservices. For some, the first instinct of creating an API is to get down to building one. Some level of planning will help manage the quality of APIs when working within a team. In this series of blogs, we will be sharing some guidelines on service design while working on API projects with Kong. Let us start by focusing on how to go about designing APIs that end up as entities that the Kong API Gateway runtime understands.
What is API Observability
API Observability is a key component to properly execute APIOps Cycles and ensure your building something of value for your API users. If you’re not familiar with APIOps Cycles, take a look at this guide which provides an agile framework to quickly build APIs that are business-oriented and serve customer needs. API Observability itself is an evolution of traditional monitoring and born out of control systems theory.
How APIs expand reach and drive ROI for content producers
Over the course of just a few years, the ways in which we consume content have changed dramatically. In order to compete in this new landscape and to adapt to the technological change that underpins it, media studios and other content producers should consider providing relatively open access to their proprietary content. This necessitates a cultural change across the industry.
Automating the Development Pipeline to Rapidly Design, Publish and Consume Services
Teams are looking for every opportunity to do more with less. Companies want to get to market faster, while reducing costs with automation. To accomplish these goals, it is critical to allow the developers to use DevOps processes and re-use existing Services to drive speed and innovation. In this Workshop, we'll discuss how Kong enables spec-based development to provide consistent APIs, documentation and automate deployments with Kong, using GitOps.
Election Reporting at Scale - DreamFactory and Decision Desk HQ
Over the years the DreamFactory team has collaborated on a lot of really interesting API-oriented projects. Many of these projects involve integrating the DreamFactory platform into a much larger technology ecosystem. To put this into perspective, although our client base ranges widely in terms of both industry and company size, we often work with organizations tending towards the larger end of the scale.
Support for Calling External Functions via Azure API Management Now in Public Preview
In June, Snowflake announced the public preview of the external functions feature with support for calling external APIs via AWS API Gateway. With external functions, you can easily extend your data pipelines by calling out to external services, third-party libraries, or even your own custom logic, enabling exciting new use cases. For example, you can use external functions for external tokenization, geocoding, scoring data using pre-trained machine learning models, and much more.