Feature Articles
GenAI was inescapable in 2023. So where do we go from here? What is GenAI's role in 2024? To answer this question, DEVOPSdigest partner site APMdigest introduced a new predictions series — With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024 ...
DEVOPSdigest asked industry experts how they think DevSecOps will evolve and impact development and application security in 2024: In 2024, as Large Language Models (LLMs) become increasingly ubiquitous, we can anticipate a growing concern in the realm of developer security. There are two key aspects that warrant attention ...
DEVOPSdigest asked industry experts how they think DevSecOps will evolve and impact development and application security in 2024: AI will play a significant role in generating code, allowing for faster development with fewer human resources. But as code inevitably becomes more like open-source software, AI-generated vulnerabilities will become a bigger concern ...
DEVOPSdigest asked industry experts how they think DevSecOps will evolve and impact development and application security in 2024: Taking a step back from Shift Left Awakening: We will see a reversal in the "Shift Left" model, emphasizing the importance of strong security teams creating policies. Integration into CI (DevOps) pipelines will be streamlined, striking a balance between efficiency and security ...
Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM, Observability, AIOps and related technologies will evolve and impact business in 2024 ...
As part of the 2024 DevOps Predictions list, DEVOPSdigest asked industry experts how they think Low-Code and No-Code will evolve and impact development in 2024 ...
Part 8 covers AI's impact on DevOps and development: This year's explosion of AI and ML is instigating an unparalleled transformation in business productivity expectations. In 2024, the extended accessibility to AI- and ML-driven automation tools will continue to elevate the benchmarks for code quality, reliability, and security, in response to the escalating demand for expedited software delivery ...
Part 7 covers AI's impact on DevOps and development: AI will give individual engineers far more leverage and shrink the optimal size of development teams ... Small development teams of engineers with AI co-pilots and AI-integrated devtools contributing what in the past would've taken dozens of engineers will become the norm ...