DevOps teams face significant challenges with infrastructure automation despite the promise of infrastructure-as-code simplifying provisioning. As multiple developers generate resources, aspects like collaboration, security reviews, and cost oversight become critical. The deployment process can shift from a quick day to a week due to manual tasks, necessitating extra hires for script management. A proposed solution is 'guard-railed self-service,' which allows teams to operate within predefined boundaries to enhance velocity and control costs. AI can assist in monitoring changes and predicting costs while human oversight remains essential as processes scale.
Infrastructure-as-code was supposed to simplify resource provisioning, but in reality, it creates challenges in collaboration, security, cost oversight, and auditing when many developers are involved.
Manual approvals, rollbacks, and duplicated code can slow deployment processes from a day to a week, creating inefficiencies in DevOps teams and necessitating additional hires.
The solution lies in 'guard-railed self-service,' where defined reusable modules allow application squads to launch infrastructure while maintaining speed and control over costs.
AI is viewed as a supportive tool, assisting teams in tracking resource drift and predicting cost spikes while human approval remains vital in the process.
#infrastructure-automation #devops-challenges #guard-railed-self-service #ai-in-devops #cost-management
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