Systems | Development | Analytics | API | Testing

12 Reasons for Using Kotlin for Android App Development

Are you looking for a new language to develop your Android application? If so, then Kotlin may be a perfect choice! Kotlin is an open-source, statically typed programming language designed to be used with the Java Virtual Machine (JVM). It has been gaining popularity recently and is now supported by Google as a preferred language for Android app development. It is used by more than 9.6% of developers to build Android apps (source).

Scaling Kong Deployments with and without Databases

As the world’s most popular API Gateway, Kong Gateway is flexible and can be adapted to various environments and deployment configurations. This flexibility means some time should be taken to make good architectural decisions for the use cases in mind. For example, the best configuration for a developer’s workstation isn’t the ideal one for a high SLA deployment. Fitness for purpose is therefore the objective.

12 WordPress Plugins to Convert Your Blog Into a Money-Making Machine

In the ever-evolving digital landscape, countless people have turned to blogging to share their passions, promote their expertise, and, ultimately, generate income. With over 40% of websites worldwide powered by WordPress, it comes as no surprise that this versatile CMS is a popular choice for bloggers seeking to transform their online presence into a profitable venture.

Boost Data Literacy to Overcome Skills Shortages

As the world emerges from the recent pandemic, organizations continue to struggle to find solid ground in an uncertain economic climate. Plagued by supply chain disruptions and price inflation, finance teams are at the forefront of organizational efforts to strategize and remain agile in changing circumstances.

Evaluating the risks associated with a data mesh approach

This blog looks at some of the risks associated with data mesh and why organizations need to look at more than just the concepts of distributed data management to ensure successful data mesh. Companies need to evaluate the needs for managing their data products, data governance, the use of data platforms, and how business domains will be managed across the data ecosystem.