DZone Research Report: A look at our developer audience, their tech stacks, and topics and tools they're exploring.
Getting Started With Large Language Models: A guide for both novices and seasoned practitioners to unlock the power of language models.
CORE
Writer at Cate Lawrence @Cate_Lawrence
Berlin, DE
Joined Mar 2017
I'm a freelance tech journo, who writes about IoT, biohacking, robotics, wearable tech and weird things that lead me down rabbit holes. @cate_lawrence is an easy way to connect
Stats
| Reputation: | 5673 |
| Pageviews: | 1.6M |
| Articles: | 14 |
| Comments: | 0 |
Edge Computing
Development at Scale
As organizations’ needs and requirements evolve, it’s critical for development to meet these demands at scale. The various realms in which mobile, web, and low-code applications are built continue to fluctuate. This Trend Report will further explore these development trends and how they relate to scalability within organizations, highlighting application challenges, code, and more.
Low Code and No Code
As the adoption of no-code and low-code development solutions continues to grow, there comes many questions of its benefits, flexibility, and overall organizational role. Through the myriad of questions, there is one main theme in the benefit of its use: leveraging no-code and low-code practices for automation and speed to release.But what are the pain points that these solutions seek to address? What are the expected vs. realized benefits of adopting a no- or low-code solution? What are the current gaps that these solutions leave in development practices? This Trend Report provides expert perspectives to answer these questions. We present a historical perspective on no and low code, offer advice on how to migrate legacy applications to low code, dive into the challenges of securing no- and low-code environments, share insights into no- and low-code testing, discuss how low code is playing a major role in the democratization of software development, and more.
Edge Computing and IoT
Edge computing aims to solve cloud computing challenges amidst the continued monumental growth of the Internet of Things. While IoT causes a massive data volume problem, edge computing addresses the classic data locality problem. The latter helps solve the former, but edge computing is a much bigger concept than "IoT data filtration" alone.The intersection of these paradigms is particularly hard to pin down given their immaturity at the implementation level. DZone's recent 2020 Edge Computing and IoT survey served to help better understand the state of the industry, as well as the mind of the practicing IoT programmer and edge-computing user. This Trend Report presents observations and analyses of survey results and an interview with industry leader Muhammad Rehman. Readers will also find content written by DZone community members, including a timely article that illustrates the impactful role that edge and cloud computing played in healthcare over the last year.
