Systems | Development | Analytics | API | Testing

It is an exciting era for web developers with so many open-source frameworks and libraries around to help them. Of all the frameworks that have emerged in recent years, Vue.js stands out for its simplicity, adaptability and rapid load times. In this article, we will learn how to get started with Vue.js. We will also go through the steps to integrate and use Bugfender with a Vue.js application. We will build a simple TODO application, which will enable us to add, fetch, edit, and delete TODO items.

Once upon a time (2017), in an office far far away, you may have been cornered in a conversation with someone from Legal about GDPR. It could have gone something like this: “You there, Data Engineer” “Yep, that’s me” “What PII do we have residing in this Apache Kafka database?” You probably mumbled something about Kafka not being a database. “And who can read/ write the data?

Whether you're building a new application or adding new features to an existing application, it is worthwhile to reflect on the structure and design of what you're building. Not only does app architecture make the difference between a good app and an excellent app, but it can also either contribute to technical debt or mitigate it.

Kuma is an open source, CNCF service mesh that supports every environment, including Kubernetes and virtual machines. In this Kuma service mesh tutorial, I will show you how easy it is to get started.

Artificial Intelligence is in the news a lot, and it’s hyped as a cure for all ills in the same breath it’s suspected of spelling doom for us all. What’s the truth behind all the noise? What does artificial intelligence do, seeing as it is simply everywhere. The truth of the matter is that whatever the would-be prophets say, artificial intelligence and machine learning is here, now, and has applications to your day-to-day.

Enterprise data growth is accelerating rapidly in 2021, challenging organizations to adopt cloud data retention strategies that maximize the value of data and fulfill compliance needs while minimizing costs. To meet this challenge, organizations are adopting or refining their cloud data retention strategies. In this blog post, we’ll take a closer look at the state of data retention and analytics in the cloud.

How was that credit application declined? Why was that person denied parole? How were disability benefits cut for those constituents? And why do computers learning from humans automatically see certain occupational words as masculine and others as feminine? It’s hard to explain how the most advanced algorithms make decisions. But as predictive systems proliferate, there are signs we’ve become more wary of their use in making critical decisions.

A decade ago, all developers could talk about was breaking down the monolith and event-driven architectures. Especially in the financial services industry, to become more nimble and accelerate their application delivery. They leveraged messaging systems to decouple the application, and specifically Apache Kafka has transitioned from being a data integration technology to the leading messaging system for microservices.

Releasing with speed and confidence is every mobile team’s dream. To help you on that journey, mobile release trains can introduce a quicker release model and faster mobile cycles — making distributed development teams, that work on different parts of an application, become more aligned — regardless of their size.