Key Trends from 2024: Cell-based Architecture, DORA & SPACE, LLM & SLM, Cloud Databases and Portals
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Dec 30, 2024
The discussion highlights key advancements in AI technology and its significance in software engineering. Notably, trends like cell-based architecture and green software practices are explored. The hosts examine the interplay between sustainability and cloud deployments, emphasizing cost benefits. Cybersecurity challenges and the ethical implications of AI are also key points. The podcast ventures into the transformation of cloud technology, the rise of specialized AI models, and the emerging role of platform engineering, showcasing a forward-looking perspective on tech innovation.
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insights INSIGHT
Cell-Based Architecture Benefits
Cell-based architectures minimize blast radius by isolating components.
This reduces impact when one component fails, improving system resilience.
volunteer_activism ADVICE
Green Software Development
Build green software for efficiency and sustainability.
This approach improves maintainability and other "ilities."
insights INSIGHT
AI's Environmental Impact
Large language models (LLMs) have a large carbon footprint.
Consider the environmental cost alongside the value when using LLMs.
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In this year-in-review episode, Daniel Bryant, along with InfoQ podcast hosts Thomas Betts, Shane Hastie, Srini Penchikala, and Renato Losio, reflect on the trends and developments of 2024 across key domains: architecture, culture and methods, AI and data engineering, and cloud and DevOps. The conversation covers the rise of AI as a ubiquitous enabler, the growing focus on green software, platform engineering’s mainstream emergence, and the ongoing challenges of balancing human and technical evolution.
Read a transcript of this interview: https://bit.ly/3VLkNdx
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