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.

A new report from Raconteur highlights the most important trends shaping the future of enterprise data management in 2021. The Raconteur Future of Data Report is packed with valuable insights that reveal how the world’s leading businesses are generating and collecting more data than ever before, and how they’re innovating to make better use of it.

The world of business is increasingly becoming more dependent on APIs. For companies looking to take advantage of the latest technologies to improve their own business, it makes sense to start building a solid framework around API. Here are 13 reasons why you should be investing in APIs for your business.

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.

As APIs and microservices evolve, the architecture used to secure these resources must also mature. Utilizing a token-based architecture to protect APIs is a robust, secure and scalable approach, and it is also much safer than API keys or basic authentication. However, token-based architecture comes in varying maturity levels, as outlined by the API Security Maturity Model.