In The Need For Speed survey, we asked over 2400 developers what’s hard about Fast Data through the lens of the complete project lifecycle: Design, Build, and Run.
The responses were roughly split between the build and run phases of a project. The design phase, however, appears most problematic with choosing the right tools ranking as the top challenge.
Across the entire project lifecycle, here are the Top 9 challenges as ranked by over 2400 developers:
The biggest hurdle surfaces early in the software development lifecycle: choosing the right tools and techniques for getting continuously streaming applications done right. Yet in adopting Fast Data, respondents appear to be more confident working with disparate data sources and continuous streams of input than operationalizing their systems in production. Integrating, scaling, debugging, and monitoring are posing challenges for developers.
Did you find this data point useful? Learn more about the role of Fast Data by downloading the rest of this 20-page report here: