Transforming Information Into Knowledge
Transforming Information Into Knowledge
Top-performing DevOps teams are much more likely than other organizations to use internal developer platforms, said Humanitec’s new study. But those companies make up only 6% of the landscape.
Overall, developers in the survey were using an average of 5.4 of the 36 languages that researchers asked about. Survey participants identified — in descending order — JavaScript, Python, Java, HTML/CSS and Typescript as their most commonly used programming or markup languages.
Half of IT respondents to a new survey said data governance means conveyed data in terms of a relatable business context, but 30% of business professionals disagreed.
Just under half of the active developers worldwide (49%) reported that they use Java, compared with 39% who said so in Q3 2020 — an increase of 26%.
Seventy-one percent of low-code tool users said they are able to stick to a 40-hour work week, compared with 44% of devs that don’t use the tech.
More than three in four participants in the new Data on Kubernetes survey now acknowledge the use of databases on Kubernetes, up from 50% in 2021.
WebAssembly is cultivating a diverse user-base, with backend devs using WASM for cloud native work, and full-stack devs deploying it for Web development.
Despite high-profile layoffs and hiring freezes, the demand for technologists — especially backend and data engineers — remains strong, says a DIce report.
Despite competitors’ claims, cloud service providers and open source frameworks are seen as effective for risk management, reports the Cloud Security Alliance.
There’s a shortage of security professionals, but recent studies show that hands-on experience is more highly valued than academic degrees in the field, and apprenticeships may not lead to cybersecurity roles.
Although the collaboration tools space is getting more crowded, machine learning and data practitioners still prefer GitHub to other tools, says the latest survey by Kaggle.
Median salaries of developers rose across the board over the last year, driven up by inflation and economic demand. Beyond that, the Stack Overflow findings indicate that usage and learning patterns do not align neatly with actual salaries.