To understand DevOps CI/CD usage trends, SlashData has, over the past three and a half years, tracked the usage of continuous integration & delivery (CI/CD) tools and services among mobile, desktop and web developers.
Every year we conduct two global, independent developer surveys engaging more than 30,000 developers. We track development trends across platforms, revenues, apps, tools, languages etc. The 18th Developer Economics survey ran from November 2019 to February 2020 with more than 17,000 developers and tech-makers participating, allowing us to analyze and understand development trends on major […]
Deciding Technology Stack is the most important decision you need to take while creating any Tech Product. The important criterion we have used while deciding technology stack are developer ecosystem, agility, scalability, speed and performance. Every product has unique requirements and you need to select technology stack matching your requirements. Blindly copying others’ technology decisions is not the right way to go.
While novel readers were busy paging through murder mysteries and historical fiction this past spring, developers were checking out data and analytics, Jakarta, cloud-native articles, Kubernetes and open source.
Since the emergence of the first agile software development methods more than 20 years ago, development teams around the world have undergone a significant cultural shift. The traditional waterfall approach to running software projects sequentially has been gradually replaced by iterative project management styles. This has enabled organisations of all sizes to scale successfully by remaining resilient in a business environment full of uncertainties. Agile methodology appears to be transforming companies across sectors, but is it really the dominant trend in the software industry nowadays? And if it is, which particular implementations of agile are the most widely used by developers?
In our latest installment of Dev Evolution interviews, we talked with AndroidPal on how their tool creates value for developers and what technologies they are using to create their tool.
From the 3,000 developers involved in ML or DS we saw that 43% of them use PyTorch or Tensorflow.
This 43% is not equally distributed between the two frameworks. Tensorflow is 3.4 times bigger than PyTorch. A total of 86% of ML developers and data scientists, said they are currently using Tensorflow, while only 11%, were using PyTorch.
Our semi-annual Developer Economics survey is now LIVE! Don’t miss a chance to join over 40,000 developers from 160+ countries who take part in our surveys every year to tell us about trends and shape the future of where software development is going next.
IoT platforms were on the cusp of reaching the peak of inflated expectations in Gartner’s Hype Cycle from August 2016. Not surprisingly – there are literally hundreds of them, and counting. Also, the word ‘platform’ is used for anything, from network infrastructure to hardware components to cloud services. In the end, IoT owes its boom in popularity to more and better tools becoming available for developers. In this article, we shed some light on the types of tools that IoT developers are actually using.