As organizations look to get smarter and more agile in how they gain value and insight from their data, they are now able to take advantage of a fundamental shift in architecture. In the last decade, as an industry, we have gone from monolithic machines with direct-attached storage to VMs to cloud. The main attraction of cloud is due to its separation of compute and storage – a major architectural shift in the infrastructure layer that changes the way data can be stored and processed.

In these uncertain times of the COVID-19 crisis, one thing is certain – data is key to decision making, now more than ever. And, the need for speed in getting access to data as it changes has only accelerated. It’s no wonder, then, that organisations are looking to technologies that help solve the problem of streaming data continuously, so they can run their businesses in real-time.

Our CTO, Andrew Stevenson was interviewed by Alan Shimel for TechStrong TV. The discussion was all about hot data topics such as DataOps, DevOps and practices to successfully enable Kafka. Andrew narrates his journey from civil engineering to starting Lenses.io with Antonios, our CEO, to help organizations succeed with real-time data.

The resurrection of AI due to the drastic increase in computing power has allowed its loyal enthusiasts, casual spectators, and experts alike to experiment with ideas that were pure fantasies a mere two decades ago. The biggest benefactor of this explosion in computing power and ungodly amounts of datasets (thank you, internet!) is none other than deep learning, the sub-field of machine learning(ML) tasked with extracting underlining features, patterns, and identifying cat images.

Node Package Manager, or npm (usually written in lower case) is one of the most commonly used package managers in JavaScript projects. It is built on top of Node and is so powerful that nearly everybody is using it.

Over the last 100 years alone, artificial intelligence has achieved what was once believed to be science fiction: cars that drive themselves, machine learning models that diagnose heart disease better than doctors can, and predictive customer analytics that lead to companies knowing their customers better than their parents do. This machine learning revolution was sparked by a simple question: can a computer learn without explicitly being told how?

Welcome to the Bugfender summer newsletter! As we already announced, we achieved a major milestone recently by releasing the Web SDK, bringing the features you love using to a whole new platform. But as always we want to keep pushing to give you a better product, and we’ve introduced recently some more updates we want to share with you: We hope you find all these updates useful!

Once upon a time, we had these giant structures where thousands of people would congregate to share ideas, pamphlets filled to the margins with buzz words and cheap, branded t-shirts. Yep, tech conferences – oh what a relic of the past that I miss. It used to be part of my job to attend these.

In the third episode of our podcast, Mobile DevOps is a thing! , we talk to John Sundell. Join us as we discuss how mobile teams can level up their skills and benefit from test automation and continuous delivery.