2022 DevOps predictions: GitLab experts weigh in on AI, security, remote work, and more

In 2022, the DevOps landscape is anticipated to evolve significantly with the integration of AI and machine learning, a stronger emphasis on security, and the expansion of open-source and remote work opportunities. AI/ML is expected to address labor and supply chain challenges across industries, while DevSecOps will grow as organizations integrate security into their development processes, reducing vulnerabilities and enhancing competitiveness. Kubernetes will be pivotal in DevSecOps, although zero trust will see moderate adoption due to its complexity. Government agencies will prioritize secure software supply chains, guided by federal regulations, to bolster cybersecurity. Cloud adoption will extend to more stages of the development lifecycle, and open source will transform from a software development practice into a full-fledged business model, driven by the digital-first and cloud-native shift. The open-source community will expand as remote work continues to grow, with all-remote environments becoming a key strategy for talent retention. Companies that fail to embrace remote work may face increased attrition, underscoring the need for robust remote work strategies as part of business continuity planning.

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