Most of my work in DevOps isn’t in front of my text editor writing scripts. It’s spent hopping between dashboards, drafting emails, doing RCA, teaching dev team members how to use pipelines, and getting requirements from them for designing new pipelines. Then inevitably debating with them about design considerations when they ask for a set of procedures that won’t pan out.
Until your AI is a fully fledged team member who everyone can feel comfortable engaging with as if they were a real human, you cannot possibly begin to automate this.
Most of my work in DevOps isn’t in front of my text editor writing scripts.
Mine either - we use azure devops, octopus, etc - tools that automate devops. Most of devops is automated across the board - no big companies are manually kicking off builds for every PR and pushing the files around the place and then manually deploying them - it’s all automated using devops tools. Having AI build and manage these pipelines seems like a logical place to use it, as they are all just about creating steps using pieces from previous steps and other systems.
You absolutely could have AI create a pipeline to build, test, and deploy a solution, and then test the actual deployed solution. The AI is essentially just the coordinator here, tying together the other devops tools.
Most of my work in DevOps isn’t in front of my text editor writing scripts. It’s spent hopping between dashboards, drafting emails, doing RCA, teaching dev team members how to use pipelines, and getting requirements from them for designing new pipelines. Then inevitably debating with them about design considerations when they ask for a set of procedures that won’t pan out.
Until your AI is a fully fledged team member who everyone can feel comfortable engaging with as if they were a real human, you cannot possibly begin to automate this.
Mine either - we use azure devops, octopus, etc - tools that automate devops. Most of devops is automated across the board - no big companies are manually kicking off builds for every PR and pushing the files around the place and then manually deploying them - it’s all automated using devops tools. Having AI build and manage these pipelines seems like a logical place to use it, as they are all just about creating steps using pieces from previous steps and other systems.
You absolutely could have AI create a pipeline to build, test, and deploy a solution, and then test the actual deployed solution. The AI is essentially just the coordinator here, tying together the other devops tools.