Businesses are increasingly embracing a cloud-first approach to increase market responsiveness and flexibility. The cloud-first approach refers to a cloud-like experience consisting of on-demand metered consumption of IT infrastructure, whether on the public cloud or inside private data centers. The rapidly evolving consensus among the tech leaders and vendors has led to an emergence of hybrid IT.

Recently, k6 started supporting k6 extensions to extend k6 capabilities for other cases required by the community. The community has already built plenty of extensions. k6 extensions are written in Go, and many of them are reusing existing Go libraries. This makes k6 to be a versatile tool to test different protocols and adapt to multiple cases. This post is the third part of my series of articles testing various systems using k6: Let's look in this post how we test the popular Kafka project.

Mobile app testing can be time-consuming, error-prone, and sometimes expensive if not done the right way. But mobile app testing is a critical part of the development process, so skipping it comes at a huge cost to end UX. To compete with the millions of mobile apps on the market, your set of best practices must ensure that the user experience is incredible for every consumer every time they use your app, starting from the first try. Not sure where to begin?

Here we are, our screens split and fingers poised to forage through two days of fresh Kafka content at Kafka Summit Americas. Tweet us your #KafkaSummit highlights if they’re missing here and we can add them to the round-up.

Artificial intelligence is transforming software development. From the code to the deployment, AI is slowly but surely upping its game and helping us discover a brand new paradigm for inventing technology. Algorithm-based machine learning is being used to accelerate the software development lifecycle and AI is supporting developers to optimize software workflow at every stage of the development process.

There are many ways that Apache Kafka has been deployed in the field. In our Kafka Summit 2021 presentation, we took a brief overview of many different configurations that have been observed to date. In this blog series, we will discuss each of these deployments and the deployment choices made along with how they impact reliability.

Appian has been a recognized leader in cloud-based enterprise software platforms since delivering Appian Cloud in 2007. From the outset, we built our software to integrate with and complement the cloud’s unique advantages, and to protect it from vulnerabilities. We did so with a unique design philosophy, employing cloud-native and globally recognized frameworks like NIST for optimal security protection, business continuity, and enhanced support.

For our latest expert interview on our blog, we’ve welcomed Dhonam Pemba to share his thoughts on the topic of artificial intelligence (AI) and his journey behind founding KidX AI. Dhonam is a neural engineer by PhD, a former rocket scientist and a serial AI entrepreneur with one exit. He was CTO of the exited company, Kadho which was acquired by Roybi for its Voice AI technology. At Kadho Sports he was their Chief Scientist which had clients in MLB, USA Volleyball, NFL, NHL, NBA, and NCAA.

According to Gartner, in the second quarter of 2021, mobile phone sales reached 328.8 million units with an increase of 10.8% year-on-year growth. It is remarkable and quite expected too! This outlines the need for using cloud-based automation platforms for mobile testing. Because when we are dealing with huge numbers and a global audience, it is the best bet.