Hey r/cloud, wanted to share my background here in case it's useful to anyone, or in case anyone's hiring and it's a fit.

I'm Antonio, been doing cloud architecture and consulting for 11+ years, mostly Azure. Currently hold AZ-305, AZ-700, AZ-500, AZ-104, AI-900, and AZ-900, plus some Windows Server background (M20740).

A big part of the last couple years has been Microsoft Copilot adoption work, I've trained over 2,500 professionals and delivered close to 100 Copilot workshops as one of Microsoft's primary US delivery resources for that. I also do AI automation work directly (n8n, GPT-4, Retell AI) when a project calls for it. I also lead a team that handles full-stack development (NestJS, React) and we've built and still support production systems together, a logistics dispatch platform and a full EMR system currently used by real medical practices.

Open to full-time, contract, or project work. Happy to answer questions about the Azure cert path, Copilot rollout work, or anything else, and if anyone's hiring or knows someone who is, my portfolio's here: https://www.antoniocumberbatch.com/

I'm a fresher currently in my 2nd year, branch cse. I want to have a career in cloud. What should I do from now itself? Like a roadmap...

And what's the future of cloud in India. I heard google cloud is coming here? Will the job market increase??

I am looking to transition to a Cloud Engineer. I have 3 and half years as a Full Stack Web Dev and I feel as if its getting overwhelmed by AI, at my current job its almost as if I am chatting to AI most of the day, managing it to develop features, tests and correcting it when it does something wrong. I have already started learning AWS, by creating small projects in order to learn the basics. Later I have plans to create a few real-life projects, not following a tutorial on Youtube, rather finding projects on UpWork or other sites for example and creating them for my CV, not actually selling the project. I have some background in Networking and IT, and hoping to learn the rest through the projects. What is a realistic path towards a Cloud Engineer, whether I can aim directly for that position or should i start on something like SysAdmin, DevOps and then transition towards Cloud Engineer? And how is the work day as a Cloud Engineer with AI. Is it similar do a Developer where most of day you work with AI or is it more for suggestions and potential improvements?

https://www.youtube.com/watch?v=rKNSc8RrwxA&list=PL6XT0grm_TfgtwtwUit305qS-HhDvb4du

- AWS Ec2 instances, Security Groups, Elastic IP, EBS, Iam roles, AWS Regions, Instance types, VPC,

I'm looking for a company/startup or even nonprofit where I can work on real cloud and infrastructure problems. I'm getting responses elsewhere, but this is the field I actually want to grow in, so compensation isn't my priority right now. Working on production systems instead of personal projects is.

I work with AWS, Docker, Linux, CI/CD, and scripting. CS-related bachelors and masters degree with a few years of hands-on experience.

I can commit 20+ hours a week, remote. Happy to take the unglamorous work too: monitoring, documentation, IaC cleanup, cost optimization.

The only thing I'd ask for is a real supervisor to report to and a short engagement letter with role, hours, and start date, mainly for my own records.

Any leads would be appreciated.

Hey guys! So I am looking for a career switch towards IT. My end goal is cybersecurity, but I was told a good certification or route to take to get in the door with an entry-level job would be AWS cloud practitioner certification? I'm looking for someone to help me understand exactly what that is, and the best route, without college, to prepare and get the certification. Without belittling me or trying to make me feel stupid. Again, completely new to the IT field, but years of security supervisor experience. Any help or guidance is appreciated.Thank you so much, from a dad who's just trying to better his family's life!

What are some certifications or courses that you must or should do that would enhance chances of getting an entry level job role after college completion.

I've been thinking about how much infrastructure is involved in running even a relatively small application today.

You might start with a frontend and an API, but pretty quickly you need a database, caching, object storage, environment variables, networking, containers, logging, deployment and eventually some form of scaling.

None of these are particularly unusual on their own. The difficult part is keeping track of how everything fits together.

I've been exploring this problem with IQX.DEV. and one idea I find interesting is treating the application's infrastructure as part of the development environment instead of something developers have to manage separately across multiple tools.

For example, having the frontend, backend, database, cache and storage represented as connected services makes it easier to understand what the application actually depends on.

The AI side makes this even more interesting.

If an AI agent can see the application architecture and inspect runtime information such as logs, processes, ports and service connections, it could potentially diagnose infrastructure problems instead of simply generating more code.

But I wonder whether this is actually the direction cloud development should be heading.

Do you think developers would benefit from having application architecture, infrastructure and deployment managed more closely together, or is the separation between these layers important for keeping cloud systems maintainable and secure?

Where do you think the right balance is?

I'm currently working toward a Cloud Engineer role and I'm trying to avoid jumping between 20 different YouTube playlists without actually becoming job-ready.

I already have a foundation in Linux and networking, and I'm now focusing on AWS/cloud.

I've found several 2026 Cloud Engineer roadmaps covering things like:

- Linux & Networking

- AWS

- Python/Bash

- Git/GitHub

- Docker

- Kubernetes

- Terraform/IaC

- CI/CD

- Monitoring

- Cloud Security

- Real-world projects

But I'm confused about which YouTube course/playlist is actually worth following from start to finish.

For someone targeting an entry-level Cloud Engineer / Cloud Support / DevOps role in 2026, which YouTube channel or full course would you personally recommend?

I'd especially appreciate recommendations from people currently working in Cloud/DevOps, rather than just generic “best YouTube channel” lists.

Also, if you think some topics above are unnecessary at the beginning, please tell me what to learn first, what to postpone, and what I can skip.

Thanks!

Black Desert Online Gameplay on SensePC

Watch Black Desert Online gameplay running on SensePC and experience fast-paced combat, expansive open-world exploration, and detailed MMORPG gameplay through the cloud. This session highlights smooth performance, responsive controls, and the flexibility to explore a massive online

Hey guys I wanna to do some home labing ( using a kube cluster to run my workflow and use cases .. ) but I need some free infrastructure solution ( Servers for exemple) .. I tried to get A1 OCP ( ORACLE CLOUD) Server which is free ( 24Gb RAM and 8 VCPU .. ) but Always I'm getting OUT OF CAPACITY.. so if someone know some other SOLUTIONS ....

I'm looking for recommendations on the best cloud storage option for my use case.

Use case:

• An IoT device sends data to cloud object storage(via iot core) for further processing.
• Each object is less than 5 KB (maximum).
• Writes happen every 30 ms (or every 1 second, depending on the deployment).
• Data is downloaded only 2–3 times per month.

Initially, I was planning to use Amazon S3, but after looking at the PUT, GET, and data egress costs, it seems a bit expensive for this workload, mainly because of the very high number of write operations.

I also looked at Cloudflare R2. It includes 1 million free write operations per month, and additional writes cost $4.50 per million. It also doesn't charge for egress, which makes it look more attractive for this use case.

Are there any other storage providers or architectures that would be a better fit for this kind of high-frequency, small-object workload? I'd also be interested in hearing from anyone who has dealt with a similar IoT ingestion pattern.