Systems | Development | Analytics | API | Testing

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.

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.

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.

It's a common belief that within the quality, cost, and speed triangle, only two elements can be optimized for. But is this true? I'll show you why quality is non-negotiable, and how Bitrise helps mobile teams get the balance right.

Today's users of web and mobile applications and services expect fast and outstanding experiences. Delivering successful web services and applications means meeting these baseline expectations: In this blog post, we dive into why these three goals are vital to modern web applications and services. Then, we will look at how building global and distributed architectures achieve these goals.

There are two big gaps in the Apache Kafka project when we think of operating a cluster. The first is monitoring the cluster efficiently and the second is managing failures and changes in the cluster. There are no solutions for these inside the Kafka project but there are many good 3rd party tools for both problems. Cruise Control is one of the earliest open source tools to provide a solution for the failure management problem but lately for the monitoring problem as well.

MongoDB vs DynamoDB: How do you choose between them? Whether you are a two-man team bootstrapping a proof of concept or an established one battling with high throughput and heavy load; this post can serve as a guidepost in your decision process. Before going into the details, a brief history lesson on how these technologies emerged is pertinent; you must understand the optimal conditions for running these systems and how they operate in the wild before making an informed choice.

In the age of a new normal, remote monitoring and control have become a necessity across the enterprise. The prominence of IoT extends beyond its traditional purpose of sense and integration, evolving to complete end-to-end Enterprise Digital applications that represent physical assets, processes, and environment as a replica in a virtual representation.