The orchestration of containers is key for success, and various technologies are competing for market share. This article examines the current tooling and how this relates to deploying microservices. A key takeaway is that developers should create business logic of their microservices using a vendor -and platform- agnostic approach.
Adopting Big Data and Data Science technologies into an organisation is a transformative project similar to an agile transformation and with many similar challenges. In this article, the author describes such a project for a FTSE100 financial services company.
While it is rare to hear the question, "Is this software safe?", the safety aspects of software are becoming increasingly important. How can developers improve the safety of the software they develop?
Yahoo uses Hadoop for different use cases in big data & machine learning areas. InfoQ spoke with Peter Cnudde on how Yahoo leverages big data technologies.
Internet of Things (IoT) is an emerging technology. One of the areas of IoT is the connected vehicles. In this article, we'll use Spark and Kafka to analyse and process IoT connected vehicle's data. 4
In their book "Relevant Search", Doug Turnbull and John Berryman focus on the challenge of providing search results by balancing the needs and intents of the user. 1
In this fifth installment of Apache Spark article series, author Srini Penchikala discusses Spark ML package and how to use it to create and manage machine learning data pipelines. 1
"Site Reliability Engineering - How Google Runs Production Systems" is an open window into Google's experience and expertise on running some of the largest IT systems in the world.
InfoQ spoke with authors of Spark GraphX in Action book, Apache Spark framework and what's coming up in the area of graph data processing and analytics.
InfoQ interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline
Christine Doig spoke at OSCON Conference about data science as a team discipline and how to navigate data science Python ecosystem. InfoQ spoke with Christine about challenges of data science teams.