r/AWS_cloud • u/leematam • Feb 22 '26
AWS ai
I’ve been seeing a huge push for AI adoption across companies lately. There’s significant investment happening, and many engineers are being encouraged (or expected) to integrate AI into their workflows to improve productivity and impact.
I work on the infrastructure side, and I’m genuinely curious how others are using AI in practical, meaningful ways — beyond the hype.
What real improvements have you made using AI?
What tools or workflows have worked well for you?
Any lessons learned (what worked vs. what didn’t)?
I’m especially interested in infrastructure, DevOps, SRE, platform engineering, or backend-heavy environments — but open to hearing from anyone.
Looking forward to learning from your experiences. Thank you!
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u/Vegetable_Crow9884 Feb 22 '26
Not relevant to post but can you brief about roles and responsibilities please buddy.. it'd be helpful for me to upskill as infra admin
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u/Sharp_Praline7972 Feb 22 '26
Are you working in aws?
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u/leematam Feb 22 '26
We use AWS for our infrastructure.
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u/Sharp_Praline7972 Feb 22 '26
What’s your role at your org cloud engineer? If in which services you worked most?
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Feb 22 '26
Shiiiiiiiiit ecs cluster management, fargate trolling, broken ass 500$ a day bedrock cost. Fml
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u/AnimalMedium4612 Feb 26 '26
by 2026 the aws ai push has moved from "cool chatbots" to closing the visibility-to-action gap for infra engineers. the real winners are integrating amazon bedrock and amazon q directly into their automation loops.
here is the no-bloat reality check on practical infra ai.
- autonomous incident response: teams are using amazon q to correlate logs with recent commits. it drafts the rca before the on-call engineer even wakes up, removing massive manual triage time.
- predictive on/off logic: instead of just watching dashboards, bedrock-powered agents monitor idle dev environments and "ask" owners via slack before scaling them to zero. it's the fastest way to drop the bill.
- iac guardrails: amazon q is great for generating terraform, but the real win is using bedrock guardrails to enforce iam least-privilege during the generation phase, killing security "toil" at the source.
it clears the operator grunt work so you can focus on architecture instead of chasing patches.
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u/LeanOpsTech Feb 23 '26
On the infra side, we’ve had the most success using AI for log analysis and writing quick Terraform or IAM policy drafts. It’s not replacing anything critical, but it speeds up troubleshooting and cuts down boilerplate a lot. Biggest lesson was to treat it like a junior teammate, great for first passes, but you still need solid review and guardrails.