Enterprises have continued to accelerate their adoption of cloud infrastructures. As this shift continues, it is important to understand what this means to applications that run in cloud environments.
Peter Neumark found a new world when he moved from a DevOps infrastructure team to a Lean product team.How to experiment frequently while keeping operational performance? Platform teams to the rescue!
InfoQ reached out to "Continuous Delivery and DevOps: A Quickstart Guide" book author Paul Swartout in order to find out what have been the major changes in this space (and in the book) in the last couple of years. Swartout shares his view on cultural challenges to DevOps adoption and how the rise of mobile and microservices impacts Continuous Delivery approaches, among other topics.
In this article, author describes the role of data analytics in healthcare space with emerging wearable technologies like biophysical interfaces, physiological sensors and embedded diagnostic tools.
In this article, based on a research study, author presents big data as service-oriented and evolutionary case of disruptive IT-enabled services (IESs) rather than as datasets.
In this article, author discusses evolving technologies like Machine Learning and IoT, how organizations can benefit from these new sources of information and intelligence.
This article provides a 'hands on' tutorial demonstrating how to achieve the benefits of containers for your stateful services like databases, using Flocker, an open source project from ClusterHQ. 1
Benjamin Wootton, DevOps consultant, shares his view of the DevOps landscape in 2015. What's the low hanging fruit to kickstart DevOps transformations, how to leverage cloud and containers and more. 1
Offline support for mobile applications can be thought of as the ability for the app to react gracefully to the lack of connectivity which is a common problem in the field of mobile app development. 2
An interview with Jan Bosch about getting benefits from increasing delivery speed, steps after adopting Agile and DevOps, using experiments to innovate, and practices for experimentation.
DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools.
In this article, Carlos Bueno describes a method for analyzing constraints on the shape and flow of data in systems. He also discusses details of two use cases, movie streaming and face recognition.