Tech, Even Big Tech, Is Still Trusted
Most people still trust brands like YouTube and even Facebook.
Transforming Information Into Knowledge
Most people still trust brands like YouTube and even Facebook.
Knative’s popularity hurts installable software alternatives for serverless. Newly added to the survey, Knative is adopted by 17% of respondents that use a hosted platform or installable software for serverless. Kubeless, Apache OpenWhisk, Oracle’s Fn, and Fission all saw sharp drop-offs in adoption and community activity. Among the installable software players, only OpenFaaS maintained its popularity.
Service meshes have yet to become adopted by “early majority” technology adopters, but 46% of the survey are piloting them or have plans to evaluate or implement them in the next 12 months. Stories of successes and failures in production environments may affect these plans.
Not everyone believes security is their job, though security professionals will get fired if something goes wrong.
37% of IT professionals expect to start using service meshes in the public cloud in the next year, but actual adoption rates may be significantly lower if the technology’s hype bubble bursts, according to a recent survey from F5 Networks.
62% of information security professionals surveyed believe privacy concerns have not stopped or slowed down adoption of cloud services,
Open source programs (also known as OSPOs) are now largely driven by engineering teams instead of attorneys — and created to refine engineering practices and attract developer talent rather than simply comply with licensing requirements, according to a new analysis of the open source survey […]
Using logs, metrics, and traces together is part of the definition of “observability,” according to 83% of the nearly 1,000 respondents to Logz.io’s annual DevOps Pulse study.
Efficiencies achieved because of SaaS and open-source-reliant infrastructure have been redirected to innovative software projects.
This post presents 1) the point of view of tech journalists that regularly read survey-based reports and 2) survey data interesting to IT vendors that sponsor these surveys. Tech Journalists I conduct at least four surveys a year and write a weekly column about other […]
The effort needed to provide an API is significant, with 63% of the over 10,000 people surveyed for the “2019 Postman State of the API Report” spending at least 10 hours a week working on APIs.
On average, 40% of companies said it takes more than a month to deploy an ML model into production, 28% do so in eight to 30 days, while only 14% could do so in seven days or less.