Transforming Information Into Knowledge
Transforming Information Into Knowledge
These are articles that were published in their entirety on The New Stack’s website.
Every week another survey about one tech trend or another is published. Want a reliable way to separate the wheat from the chaff? Review the study’s sample. Studies that interview the wrong people may be biased. If the subject is databases, for example, Oracle employees will […]
This year, we conducted a new survey where both end users and vendors were asked about container orchestration. The results do nothing to say that Docker has lost its centrality, but rather that Kubernetes has arrived.
By 2020, half of all IT spending at large enterprises with digital business aspirations will occur at the business-unit level.
Scheduling, cluster management, and service discovery are widely acknowledged to be part of container orchestration. However, over half of the respondents also consider provisioning and monitoring to be part of orchestration. Configuration management was the functionality least likely to be associated with container orchestration, although […]
Twenty-five percent of those that deploy containers to AWS use its container service.
Of course, Docker is the darling of Silicon Valley, but how global is the container phenomenon? To judge from the attendance of Docker meetups around the world, we can see the technology’s influence growing. Our research was conducted in Summer 2015. Since then, repeat attendance […]
Survey data was combined with LinkedIn stats to get a perspective on how many employees contribute to open source projects.
The PaaS market is evolving quickly as vendors offer platforms to deploy containerized applications.
Most companies are using data in real-time for at least some application or department.
DevOps are people now. We’ve long considered the term “DevOps” to be primarily about a process, specifically a melding of the workflow between the developer (the “dev”) and the administrator (operations or ops). Yet we’ve found at least a few hundred readers of Stack Overflow […]
To create the first table above, data about contributors was collected using a tool called Blockspring that accessed the GitHub API to pull information about contributors to specific repositories.