Transforming Information Into Knowledge
Transforming Information Into Knowledge
Lawrence started working with The New Stack in 2015. He was the research director for several ebooks about containers, Kubernetes and the cloud-native ecosystem.
He highlighted a chart and findings from industry research in The New Stack’s weekly newsletter. This sampling of the over 400 articles and reports he has written.
More than anything, open source programs are responsible for fostering “open source culture,” according to a survey The New Stack conducted with The Linux Foundation’s TODO Group. By creating an open source culture, companies with open source programs see the benefits we’ve previously reported, including […]
A majority of developers involved with machine learning do not use models to generate predictions.
AWS-branded technologies continue to perform well versus generic open source offerings.
Alternative vendor offerings are still commonly used to manage open source code. More research is needed to determine Atlassian Bitbucket or GitLab will lose customers to a paid version of GitHub.
Large companies are about twice as likely to run an open source program than smaller companies (63 percent vs. 37 percent.)
With a for-profit entity taking advantage of an “open core” business model, it remains to be seen which users will stop using the database because they want to use something with more permissive licensing.
51% of data specialists that are doing ML said their models are created by an internal data science team.
Nine out of 10 components in the average application are open source, according to an analysis of 1,700 apps in Sonatype’s “State of the Software Supply Chain.” However, a survey of people familiar with application security by ESG provides a lower figure — only 43% believe that more than half of their enterprise’s codebase of open source.
Data engineering regularly gets blamed when things go wrong with the company’s data analytics. In fact, 21% say this always happens and another 42% believe it occurs often. Sometimes the blame may be deserved, but when undeserved quitting is an attractive option. Unsurprisingly, when data engineering is always blamed for the Data/Analytics problems, 65% are very likely to leave.
More than half (56 percent) of survey respondents believe that integration of security into the entire DevOps process is either poorly done or non-existent.
Containers are being used or actively evaluated by 32 percent of respondents, compared to 19 percent for serverless computing and 14 percent for FaaS (function as a service).
The blockchain and cryptocurrency world provides quantifiable proof that open source can both help and hurt a project’s likelihood of financial success, according to Early Evidence on the Role of Disclosure in the Unregulated Crypto Market, which quantifies the success of 776 initial coin offerings (ICOs) […]