The inner workings of an API gateway request can be difficult to understand because of its scale. To provide some orientation, we will use the real world as a reference, from planet-spanning infrastructure to a person eating a chocolate bar (processing a server response in a plugin). This series will divide the abstraction space of how Kong Gateway processes requests into four different layers.
In the last blog, we discussed the challenges in managing APIs at scale in a Kubernetes environment. We also discussed how deploying a Kubernetes Ingress Controller or an API gateway can help you address those challenges. In this blog, we will briefly touch upon some of the similarities and differences between an API gateway and Kubernetes Ingress. We will also discuss a unique approach offered by Kong for the end-to-end lifecycle API management (APIM) in Kubernetes.
This is the decade of hyperautomation—a decade when companies are doubling down on mating critical processes to drive sustainable growth. But here’s the problem. An eye-popping 60 to 80% of your organization’s processes may be running on unstructured data such as documents and email according to news reports. Which makes them that much harder to automate manage and audit.
If you've ever wanted to discover more about Kaggle, the online community for machine learning students and data scientist practitioners then look no further than our expert-led guide to get an overview on all the basics you need to know about this amazing opportunity provider and competition organiser.
In this blog, I will demonstrate the value of Cloudera DataFlow (CDF), the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP), as a Data integration and Democratization fabric. Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas.
An automated testing strategy answers the who, what, when, why, and how of software test automation. While automation can be used for many kinds of software testing, in this post, we’re going to focus on the steps you should take when developing a strategy for functional UI testing (also known as end-to-end testing). End-to-end testing simulates real user conditions to test the functionality of an application from the front-end user interface.
Data – the amount we create, how we create it, how it is accessed (think both people and Artificial Intelligence/machines), and how we use it to inform, propel and influence everyone and everything is one of the biggest challenges and opportunities we face in our lifetime. And it’s driving enormous change.
Have you ever written a Hello, World! application? In most of these tutorials the first step is to log words to the console. It's an easy way to understand what is going on with your application and readily available in every programming language. The console output is incredibly powerful, and it has become easier than ever to capture that output as logs. As your application grows and evolves you need to implement a structured application log approach.
