Feature Articles
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 ...
Part 6 covers AI's impact on DevOps and development: 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. The speed at which AI-assisted developers work will underscore the importance of enhanced application visibility and security, as developers may lack the full understanding of their AI-generated output ...
Part 5 covers AI's impact on DevOps and development: In 2024, the rapid evolution of centralized platforms and integration of AI/ML in every stage of the software development lifecycle — from ideation and planning to production deployment management — will revolutionize software engineering ...
Part 4 covers testing: The rapid advancement of GenAI will disrupt the testing landscape, enabling teams to significantly expand their testing capabilities with minimal additional resources. It will be used to facilitate automatic test creation and maintenance, address often overlooked edge cases, and rapidly generate insights to aid teams in critical decision-making processes ...
Part 3 covers platform engineering and DevOps costs: This year saw hype around platform engineering. Next year I expect to see platform engineering becoming production-grade, led by hyperscalers and larger organizations integrating this function and sharing their experiences with the industry ...
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