In this series of articles, you get practical advice from those who have experience helping companies successfully move to cloud environments. There is an area that deserves significant attention, and we hope that you'll participate in the conversation.
Many cloud providers offer services to onboard new customers into the cloud. What advice can they give us on how to prepare for a migration, what pitfalls to avoid, and what types of apps are the best fit for the cloud? To learn more, InfoQ reached out to Tim Beerman, the VP of Product Strategy and Development at CenturyLink.
In this article, authors examine the enterprise cloud market and technologies and provide guidance for choosing the right cloud solution. They also discuss the cloud computing best practices such as elastic architecture, design for failure, high availability, performance, security, and monitoring.
The book Devops in Practice: Reliable and automated software delivery by Danilo Sato provides a hands-on approach for implementing continuous delivery and DevOps practices.
This series focuses on several African projects that are leveraging existing mobile technology to have a significant impact on people's lives.
This article summarizes the key takeaways and highlights from QCon New York 2015 as blogged and tweeted by attendees.
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!
Book author Paul 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.
Are you in the process of moving applications to a public cloud? In this article, we’ll explore four stages in a cloud migration lifecycle and the questions to answer before exiting each one. 1
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.