As organizations continue to embrace cloud-based computing as the cornerstone of their digital transformation, the integration platform as a service (iPaaS) has become a critical component of their integration environments. An iPaaS solution simplifies the integration of data, applications, and systems, whether in the cloud or on-premises, through unified support for API, application, data, and B2B integration styles.
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.
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.
