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.
Observability and monitoring is the most cited challenge when moving ML models into production. The Institute for Ethical AI & Machine Learning conducted a survey on the state of production ML in the fourth quarter of 2024. The other key takeaway is that custom-built tools […]
“The State of the Cloud Report” has been published for 13 straight years. I’ve read so many of these reports that I’ve seen private cloud usage surge several times amid the broader trend toward multicloud adoption. The latest edition by Flexera provides new data about […]
Ignore the anecdotal stories you’re hearing about AI workloads driving a migration from the cloud to on-premises and private cloud environments. In 2024, only 27% of professional respondents in Anaconda’s latest “State of Data Science” report deploy most of their models to on-premises servers, which […]
Only 35% of these engineers responsible for developer productivity and/or experience actually follow and stay informed of the latest trends and discussions related to developer experience and developer productivity.
AI-assisted development will challenge developers as they review the quality of the code generated and integrate tools into their workflows. There is concern that 1) an increase in AI-generated code actually increases developers’ workload because it requires manual review, and 2) inexperienced developers won’t be able to identify when AI spits out bad code.
Time savings and increased productivity, not code quality, are why developers are using AI. 85% of developers who regularly use an AI tool for coding and other development-related activities say these tools help them perform their job faster. Only 23% say these tools actually improve the quality of the code and solutions being created.
24% of a New Relic survey use AIOps capabilities, down from 41% when the same study was conducted in 2023. The drop may be a response to AIOps’ bad reputation, and a rebranding to AI-powered observability better picks up actual usage patterns.
Forty-four percent of participants in a new study by Rafay Systems said they believe the notion that shared services are too inflexible will be their biggest platform engineering challenge this year.
Professional developers’ adoption of AI tools in the development process has risen rapidly, going from 44% in 2023 to 62% in 2024.
Fifty-nine percent of IT leaders said they saw more incidents that affected customers than in the previous year. Even more, 69%, said their organization is not investing in reducing such incidents.
Two out of three of participants in Jellyfish’s new survey said they experienced burnout in the last 12 months. One of three managers in a LeadDev report are working longer hours now.
Data streaming platforms are essential for adopting AI/machine learning at enterprise scale, according to nearly two-thirds of IT leaders