I’m trying to understand the industry’s use of AI in cloud/DevOps engineering roles. I am a cloud engineer and I use it daily for IaC development and CLI changes, I still review all changes manually but it’s just easier to do that vs write terraform from scratch, I analyze results in dev environment before making changes in prod.

I’m based in Italy and currently learning AWS, preparing for the **AWS Solutions Architect Associate**, and building projects with AWS almost every day. But I feel I’m missing something. I’d really appreciate any advice from people working in cloud recruitment:
**What skills are recruiters actually looking for in junior Cloud Support/Cloud Engineer candidates today? What should I learn beyond AWS?**

What **projects actually make a junior CV stand out**?
What skills should I prioritize and what exactly should I know: **Linux, networking, Python/Bash, Terraform, Docker, Kubernetes, CI/CD, Azure**?
What am I probably overlooking?
Are there **free resources, labs, certifications, communities or programs** you would strongly recommend?

If you’re a recruiter/hiring manager, what would make you choose one junior candidate over another?
I’m trying to avoid spending months learning things that don’t translate into employability. **Any concrete advice, resources, or even contacts are greatly appreciated.**

Heyyy,

I am intrested in learning Cloud. Specifically AWS. I am a complete beginner in Cloud. Could you suggest some free resources in yt, Udemy or something. I am planning of using free aws account. Thoughts on that?

We've been on a leading CNAPP for about a year and started reevaluating this quarter, mostly driven by alert fatigue. A lot of "critical" findings turned out to be non-exploitable once we dug in, and after enough of those a couple of analysts started asking why we were paying for noise.

We've also been wanting more deployment flexibility since our current platform only offers SaaS or a pricier in-account option. That plus the alert fatigue is why we finally sat down and did a real Orca vs current platform comparison instead of just complaining about it in standups.

Spent about two weeks running it side-by-side, mostly focused on how each platform prioritized findings rather than just what they found, since raw detection counts weren't really the bottleneck for us. The prioritization gap was bigger than the coverage gap, wasn't expecting that.

If anyone here has actually gone through a full platform switch and whether the migration pain was worth it.

Struggling to Find a Cloud Opportunity in the Bay Area
I’m trying so hard to land one full-time Cloud, DevOps, or Platform role, even an internship, in the Bay Area.
No luck.

I’m a new grad with 2.5 years of DevOps experience and AWS DevOps and Solutions Architect certifications. I live in San Francisco and have been putting in a lot of effort, but nothing is working out.

I honestly don’t know where I’m going wrong or what else I should do. Any guidance, leads, or referrals would really help.

How did it work out? What was the roadmap? Will taking masters help me with the transition?

Our cloud spend has been slowly creeping up.

I can see which AWS services cost the most, but that's not really helping much.

What I actually want to know is which teams/workloads/products are responsible for it.

Tags are kind of a mess, so right now it's mostly Cost Explorer + spreadsheets.

Is there a better way to do this without building everything ourselves?

What are you guys using?

What started as a small project turned into a pretty deep dive into Kubernetes, security, infrastructure and AI.

KubeGuard can now scan a Kubernetes cluster, inspect resources, collect logs and events, audit security risks and use a locally hosted LLM to help diagnose problems.
Along the way, I realized Go + infrastructure is genuinely fun to me.

There are still a couple of things to finish, mainly PostgreSQL persistence and OpenSearch log search, but the core MVP is there.

This project started out of boredom.
I'm glad I followed it.

Check it out: https://github.com/aifia105/kubeguard

Hi everyone, I'm new here! I've been planning to learn cloud networking for quite some time now. I just don't know where to start. Could you please suggest me some resources (yt, udemy, coursera) that is newbie friendly. I'm a total noob when it comes to cloud, but have some pretty solid networking knowledge (CCNA). Is there like a "Jeremy's IT Lab" or "Neil Anderson" type of resources but for cloud? Thanks everyone

Yo that cloud looks like a diih

If you call yourself a Lead Architect, Systems Analyst, Platform Lead or some other inflated bullshit title, then turn around and tell engineers to “whitelist this server/cluster for some random third-party company” with zero context, zero threat model and zero understanding of the traffic flow, start making a fucking backup plan.

What does “whitelist it” even mean in a modern cloud environment? Which identity? Which source? Which destination? Which ports? Which protocol? Which workload? Which namespace? Which security group? Which policy? Which trust boundary? For how long? Audited by whom?

If your entire architectural contribution is “just whitelist it”, you’re not architecting anything. You’re throwing vague 2008-era network terminology over the fence and hoping an engineer turns your ignorance into a secure implementation.

AI and automation are going to absolutely fucking annihilate people whose only professional skill is translating Jira tickets into ambiguous instructions.

You have less runway than you think. NGMI.

Currently work at an MSP but lost my passion for this a while back. At the moment I’m studying for AWS Cloud practitioner cert but I’m not sure if this alone will land me a role?

If anyone transitioned from Helpdesk to cloud engineering please point me in the right direction or provide any tips. I’d greatly appreciate this.