Here’s how you can simplify test-driven development and continuous integration with Redpanda and Testcontainers and Quarkus.

This article explores the intersection of PHP development and IoT, highlighting the benefits, challenges, and real-life use cases.

In industrial settings, vision AI means high-end quality control of manufacturing tasks and enhanced automation capabilities.

This guide explores how to auto-scale your Kinesis Data Streams consumer applications on Kubernetes so you can save on costs and improve resource efficiency.

Everything you need to get started with MongoDB.

Check out the latest trends in mobile app development, including a Swift takeover, enterprise apps, and IoT advancements.

Everybody's trying to get in on the big-money future of IoT, and now "everybody" includes Microsoft with Windows 10. Larry Dignan at ZDNet put together a look at Windows 10's role in IoT - as it's been described by Microsoft CEO Satya Nadella at the Gartner Symposium ITXpo, at least - which suggests that the new OS will be a central platform for IoT systems of all types. Specifically: Windows will be able to run on everything from sensors to wearables to whatever computing shift emerges. Or, as Patrick Thibodeau at ComputerWorld interpreted it: [Nadella] sees the company's upcoming operating system Windows 10 as integral in managing every aspect of the IoT, from the sensors, mechanical systems, to the applications and analytics that underlie it. Those are some pretty big promises, but as Nadella said, Windows 10 is "the first step in a new generation of Windows as opposed to just another release after Windows 8." After all, that would be Windows 9, right? Check out Dignan and Thibodeau's coverage of Nadella at the Gartner Symposium ITXpo for more details on Windows 10 in general. It looks like a promising future: Yo Ebola, I'ma let you finish but #Windows10 is gonna have the greatest virus of all time #WindowsTillIDie — Bill Gates (@BillKingGates) October 6, 2014

This microservice building tutorial continues by walking through Eureka service discovery, the config server and user service, and configuring the email service.

I hope everyone wants a slice of Raspberry Pi because there's a lot of it this month! Here's some inspiration for your next IoT project.

Learn the key considerations for choosing the right database for your project. This article will help you make an informed decision.

Want to see how technologies like AI and blockchain are helping solve IoT's problems? This news and tutorial roundup will help.

In this article, we begin a two-part series on basic implementation of MapReduce and Yarn in the Hadoop ecosystem.

We take a look at what respondents to our 2019 Big Data Survey told us about data management and coping with data at enormous volumes.

I will compare the differences between several managed MQTT Brokers in aspects of console/dashboard features.

Let's take a look at discussing critical areas of machine learning-based solutions, such as model explainability and model governance.

In this article, we take a look at Azure's Machine Learning Studio and what services and tools are available for you big data needs.

This microservices series continues to guide us through the steps of a low-risk shift away from the monolith and towards a distributed system.

This blog post explores architectures for low latency deployments leveraging a combination of cloud-native infrastructure at the edge.

Take a look at Kai Wahner's presentation from OReillySACon in London, where he dives into how to handle log analytics for your scattered, distributed microservices.

Moving on — finding love after Kafka.