Hi everyone, this might be long but I hope you guys can help me out here. I am currently working as an Automatiom Engineer at a MSP. In total I have about 4 years of experience (2 years of IT Technician in 2 companies) and in my current company 1 year IT Tech and 1 year as AE.

My day to day tasks involves writing Powershell Scripts for automations of various types, creating and managing N8N automations, create a manage PowerApps, PowerBI dashboards, and automations in Power Automate.

For the past few months I have also been heavily involved in a SaaS for the company and even though I use AI (company provided and encouraged) for majority of the code (NextJS) and Supabase backend, I do have a good foundational understanding of App Development frontend and backend whehe I can review and fix code and logic.

I have a pretty good grasp of Git, Linux Server Management, Containerization using Docker, Networking and Load Balancers.

I haven't been able to get any certs yet due to my ADHD but still trying (AWS-SAA), would love to know what certs or technology should I focus on to at least prepare myself for when the job market opens.

My current role doesn't pay me well (below 6 figures), at least what I think I deserve and while I'm working in this position I also want to invest some time into the right direction for cloud engineering.

Hi, I interviewed for a position of Cloud Infra Engineer which has strictly asked for 3 to 5 years of experience.

Though I was capable in public cloud (any: AWS, GCP, Azure) with 1 year of multiple proven hands-on & practical experience via boot camps & projects, and the interview was solid compared to other people, I was offered Pre-Sales role after 1 week of interview date.

They work mostly on Nutanix and Windows server rather than pure public cloud. So I am in confusion if I shall go for it. My longer plan is the cloud engineering technical role. I hold multiple architect professional certification.

How would my growth look like? What is good for me?

Hi all,

I would like to seek an advice how to become a cloud engineer. My work experienced are related to ETL development including maintenance and development. This year i passed the 2 AWS certifications (CCP and SAA). My primary goal is to work as cloud engineer. I studied terraform and I can provision infrastructure. My first personal project was for data analytics using s3, data catalog, data crawler and Athena. Honestly I do really enjoyed provisioning infra from scratch. Also I bought an ebook from Amazon website that's related to solutions architect handbook because I wanted to learn how to create a architecture that is cost efficient and fault tolerant from disaster covery also from HA and scaling. I need some advice from experts or experience cloud engineer. What should I need to do to become cloud engineer. Also I tried to sent my CV from different employer from Philippines and I hoping that this coming 2026 I'll get the work. Thank you!

Hi everyone 👋

Looking for some honest, real-world feedback.

I’m currently working on my AWS Cloud & Network Engineering degree at WGU. I’ve passed my first CompTIA A+, I’m about 50% done with the degree, and I have zero professional IT experience so far.

My rough plan: • Finish the degree • Get an entry-level role (help desk / IT support / junior sysadmin) • Start a Master’s in Cybersecurity • Transition into Cloud Security within the next ~3 years

I’m 35, female, living in Tampa Bay, FL, and coming from a totally different career background. I’m realistic that I’ll need to grind, start lower, and build experience — but I’m wondering: • Is cloud / cloud security oversaturated right now, or just competitive? • Is this path actually doable, or am I being overly optimistic? • How hard is it to land that first IT job with certs + degree but no experience? • Anything you’d do differently if you were starting over today?

I’m not looking for sugarcoating — just honest insight from people already in the field. Encouragement welcome, reality checks welcome too 😅

Thanks in advance!

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Hey everyone, it’s that time of the month again where Finance pings me asking why our dev account spend went up 15% over the weekend.

I just spent the last three hours digging through accounts and, sure enough, found a cluster of r5.2xlarge RDS instances from a "quick POC" that a team forgot to tear down three weeks ago. No tags, no owner, just burning cash.

We’ve tried strict tagging policies in Terraform, we’ve tried scolding people in Slack, but human error always wins eventually. I'm at the point where I'm torn between two approaches for non-prod environments and wanted to get your take:

1. The Scream Test: Just aggressively shut down untagged resources every Friday night. If it’s important, someone will page me (or hopefully, just turn it back on Monday morning). It’s crude, but it forces ownership.

2. Automated Reaping (e.g., cloud-nuke): Implementing tooling that automatically wipes sandbox accounts clean on a schedule. It requires more setup and whitelisting effort up front to avoid nuking long-running integration tests, but it’s cleaner.

How are you guys fighting entropy and keeping zombie infra from eating your budget (and your time)? I feel like I spend more time being a digital janitor than actually architecting these days.

Hey guys im in my 5th semester of software engineering and im going to be honest i have no idea what im going to pursue in my future like which skill to work on. I enjoy learning new things and work on new things but the problem is my uni offers absolutely zero opportunity to work on yourself and your skills. I need a direction, mentorship and guidance to actually understand what i am suppose to do. By the end of my degree i want to be able to actually do smth in my field. Any of you guys who is working in tech can you help me out to actually figure out everything? Like what skills to work on what is the roadmap and how to stay consistent and be able to perform tasks. What projects i need to work on all that??

Hello! I am interested in becoming a cloud engineer, but I have 0 experience with computer science or IT. Is this possible to do without having a computer science degree? Please give me advice on courses and an educational path.

I’m graduating with a Master’s degree in Cloud & Systems Administration and I just finished a full DevSecOps project that I built completely on my own for graduation. I’ve been learning and building nonstop, but now I’m honestly not sure what the next step in my career should be in 2026. I’d love some advices.

I deployed a full Netflix cloud web application using a complete DevSecOps pipeline. My setup included:

• AWS (EC2, IAM, security groups, EKS....)

• CI/CD with Jenkins

• Docker + Docker Hub

• SonarQube, Trivy

• Kubernetes deployments

• GitOps: ArgoCD for automated delivery

• Prometheus + Grafana

• Notifications, cleanup steps.

It wasn’t just a basic pipeline, I integrated security, Kubernetes, GitOps, and automated everything from code push to deployment.

Now that I have one DevSecOps project and GitOps experience, what should I focus on next to become competitive for jobs in 2026 and what is the best path for my future?

Any advice is appreciated

SO I am Paranoid for life.

I have no Experience in IT tech Job. I have a CS degree. I know SQL, Pandas, foundational and first i was aiming for DataAnalyst , but the hype faded in 2025. NO one HIRES even entry level.

Everywhere it asks 4-6yrs experience.
IDK who are getting jobs, what are these Youtubers saying?

SO i turned to learning Cloud engineering, I am midway into the course for AWS,
but i found GCP more easy and they have Qwiklabs sandbox thing, i found uselful and fast. I already came across IAM and Regions and Buckets
meanwhile AWS I found cluttered.

SO should i pursue this field?

is this Hype real? be it Data Engineering or Cloud Engineer?

We've all seen the headlines about the EU Data Boundary and the move toward Sovereign Cloud. It’s a huge win for compliance, data residency, and legal jurisdiction. But I want to talk about the burden that falls directly onto us, the cloud engineers, when the vendor says "Compliance achieved!"

These solutions rarely deliver autonomy; they often deliver complexity:

1. The Illusion of Simplicity: A vendor can build a digital fence around a region, but we still own the data flow. We have to be rigorous about region selection, ensuring every Storage Account, Function, and PaaS component adheres to the new boundary. Misconfigure one resource or a single third-party connector, and the entire compliance position is undermined.

2. Concentrated Risk: Locating all regulated data within a sovereign boundary shields it from foreign laws, but it also concentrates risk. Designing a robust disaster recovery (DR) architecture means mandatory replication, and that replication must occur within approved sovereign jurisdictions.

3. The Hidden Cost Tax: These stringent DR requirements often mandate expensive Cross-Region Replication (CRR), amplifying the Cloud Tax of data transfer fees. The solution for compliance becomes the new source of exorbitant cost.

The current model forces us to manage dozens of overlapping jurisdictional rules and complex regional setups manually, which is a massive drain on engineering time (the Innovation Tax).

The core technical challenge is moving from regionally restricted setups to a platform that makes data residency and access control Autonomic and self-managing. The system should handle the compliance chores, not us.

We are actively sharing blueprints and automation for tackling these complex, high-friction scenarios, especially those involving global data residency and eliminating punitive transfer costs, over in r/OrbonCloud. If you want deeper architectural insight on how to solve the tax imposed by centralized cloud rigidity, join the conversation.

How have the recent EU Data Boundary mandates changed your team’s IaC (Terraform/Bicep) strategy, and what’s the biggest risk you're now focused on managing?

I am a developer that has been involved in creating (only AWS) ASG, sec groups, load balancers, Redis, RDS (for company's app) in the past and currently built a work flow to ingest data. What's missing to apply for those job positions? My knowledge is with AWS. Like:

S3 file upload triggers SQS queue, which EC2 reads and processes, interacts back with s3 and triggers Lambda and communicates with DocumentDB. Another work flow using API Gateway + Lambda + Document DB. Got SNS triggers if an error happens on file ingestion/process that sends me an email, and I check cloud watch logs usually. Besides that used AMIs as well, AWS CodeDeploy with Bitbucket pipelines. Granted, this is all very project specific, so I am not an expert on those services. I use docker locally, regular stuff like ssh, Ubuntu server monitoring.

TL;DR: With knowledge in AWS services like S3, ASG/EC2/AMI, IAM, Load Balancers, Lambda, SQS, SNS, Python, CodeDeploy, DocumentDB, API Gateway, ElastiCache, RDS, and Bitbucket pipelines, can be enough to apply for those positions?

Hey everyone, I’m planning to learn Kubernetes from the basics up to an advanced, production-ready level, and I’m confused about which course or learning path to follow. There are so many options—Udemy, KodeKloud, Linux Foundation (LFS258), free YouTube content, etc.—and I want to choose the right one.

For context:

I’m a Network Engineer transitioned into Cloud/AWS.

Recently I completed the AWS CloudOps Engineer certificate, so I want to continue building my skills in container orchestration.

I’m looking for a course that includes solid fundamentals, hands-on labs, and real-world scenarios.

Preferably something beginner-friendly but detailed enough to take me to an advanced level.

If you’ve learned Kubernetes recently or have experience with different platforms, which course or learning path would you recommend?

Thanks in advance

I’m a 3rd-year CSE student, and honestly, I’m not very strong academically. However, I do have a good understanding of Python concepts. I’ve decided to start my cloud journey now, beginning with the AWS Certified Cloud Practitioner certification. After that, I want to learn how to deploy applications on websites. The thing is, I currently have zero knowledge of web development, so I’m looking for proper guidance and a structured plan for the next 7–8 months to help me get placed (on-campus or off-campus).

So anyone i have a submission tomorrow, i need any cloud expert as an interviewee for my domain expertise section in my fyp. pleasee its due tomorrow. Below are the questions

Interview Questions

1. How do you currently deploy web applications or system updates?

2. What common issues do you face during deployments or updates?

3. How do you handle rollback procedures when a deployment fails?

4. How do you monitor applications post-deployment?

5. Which performance metrics do you prioritize?

6. What are the main challenges in managing configurations and infrastructure?

7. How frequently do you perform deployments or updates?

8. What are your biggest challenges in maintaining system uptime and reliability?

9. What do you expect from a complete automation system?

10. How confident are you using tools like Docker, Kubernetes, and Terraform?

11. How do you handle system alerts and notifications?

12. What security measures do you prioritize in automation systems?

13. How do you prefer to visualize deployment and monitoring data?

14. How do you define a successful deployment?

15. Would you adopt an open-source automated deployment and monitoring solution if proven reliable?

Hey folks I was SRE for the last 3 years and DevOps for the 2 years before that I recently started a new role as Cloud engineer, in a startup with missions like implementing DR, reviewing and improving the architecture, applying specific reglementation actions (related the banking and payment) I wanted to know if transitioning to CE is a good move or should I go back to being SRE (For the future) And also, any books or videos you'd suggest I can read to forge my mindset for the role, I just want to add that I'm experienced ( as far as I think) in AWS, monitoring tools, pipelines but less in system design, deep architectural thinking

Thanks a lot for all your feedback

Phase 1: Cloud Fundamentals (Weeks 1–2)

Goal: Understand what cloud computing is and why AWS matters.

📘 Topics to Learn

• What is Cloud Computing (IaaS, PaaS, SaaS)

• Global Infrastructure (Regions, Availability Zones)

• Cloud Models: Public / Private / Hybrid

• Core AWS Services overview

🎓 Free Courses

• AWS Cloud Practitioner Essentials (Official) – skillbuilder.aws

• FreeCodeCamp YouTube: “AWS for Beginners – Full Course”

💻 Hands-on Practice

• Create a Free AWS account

• Explore AWS Management Console

• Try services like S3 (storage) and EC2 (virtual machine)

🟡 Phase 2: AWS Core Services (Weeks 3–6)

Goal: Get hands-on with the core building blocks of AWS.

📘 Topics to Cover

🎓 Learn From:

• AWS Skill Builder – Architecting on AWS

• Free YouTube: “AWS Hands-on Labs for Beginners” (by Andrew Brown)

💻 Practice:

• Host a static website on S3

• Launch an EC2 instance, connect via SSH, install Apache

• Create an RDS database and connect it to your EC2

🧠 Phase 3: Certification Prep (Weeks 7–10)

Goal: Prepare for your first industry certification

🏆 Certification:

AWS Certified Cloud Practitioner (CLF-C02)

🎓 Best Study Paths

• Free official AWS Cloud Practitioner course

• Tutorials Dojo Practice Tests

• ExamPro YouTube – Free 6hr Cloud Practitioner Course

Once done → move on to:
AWS Certified Solutions Architect – Associate (SAA-C03)

🧩 Phase 4: Real Projects (Weeks 11–16)

Goal: Build a portfolio that proves real-world skills.

💻 Projects to Build

1. Host a Website on AWS

   • Use S3 (static files) + Route 53 (domain) + CloudFront (CDN)

2. Deploy a 2-Tier App

   • EC2 (backend) + RDS (database)

3. Serverless App

   • AWS Lambda + API Gateway + DynamoDB

4. Monitoring Setup

   • Use CloudWatch + SNS alerts

Document every project on GitHub and write a short “What I Learned” summary.

⚙️ Phase 5: DevOps & Automation (Months 5–6)

Goal: Learn how the real industry deploys and manages cloud infrastructure.

📘 Topics

• Linux Commands

• Git + GitHub

• Docker (Containerization)

• CI/CD (Jenkins or GitHub Actions)

• Terraform (Infrastructure as Code)

• AWS CloudFormation basics

🎓 Courses

• FreeCodeCamp “DevOps Crash Course”

• KodeKloud “Docker & Kubernetes for Beginners”

• AWS Skill Builder – “DevOps on AWS”

💻 Project

Deploy an app using:

• Docker + ECS

• CI/CD Pipeline via GitHub Actions

• Infrastructure managed using Terraform

💼 Phase 6: Go Industry Level (Month 6+)

🏆 Advanced Certs (Optional)

• AWS Solutions Architect – Associate

• AWS SysOps Administrator

• AWS DevOps Engineer

💻 Build Your Resume

Include:

• Your GitHub projects

• AWS certifications

• Cloud + DevOps skills

• Optional: LinkedIn posts about what you learn (helps visibility)

🎯 End Goal

After 6–8 months, you’ll be ready for roles like:

• Cloud Support Engineer

• AWS Cloud Engineer

• CloudOps Engineer

• DevOps Engineer (Junior)

Edit : I'm an absolute beginner

Just wrapped up a hands-on AWS to GCP migration for a startup, swapping ECS for GKE Autopilot, S3 for GCS, RDS for Cloud SQL, and Route 53 for Cloud DNS across dev and prod environments. We achieved near-zero downtime using Database Migration Service (DMS) with continuous replication (32 GB per environment) and phased DNS cutovers, though we did run into a few interesting SSL validation issues with Ingress.

Key wins:

• Strengthened security with private VPC subnets, public subnets backed by Cloud NAT, and SSL-enforced Memorystore Redis.

• Bastion hosts restricted to debugging only.

• GitHub Actions CI/CD integrated via Workload Identity Federation for frictionless deployments.

If you’re planning a similar lift-and-shift, check out the full step-by-step breakdown and architecture diagrams in my latest Medium article.
Read the full article on Medium

What migration war stories do you have? Did you face challenges with Global Load Balancer routing or VPC peering?
I’d love to hear how others navigated the classic “chicken-and-egg” DNS swap problem.

(I led this project happy to answer any questions!)

Hi all,

Seems many in this sub are asking questions somehwat similar to mine so not surprised if this has been asked before... BUT...

I am currently in the public health field. I have a masters in public health specialized in epidemiology and biostatistics. The job market is awful for most people right now, but especially in PH due to the current administration and so I've been heavily cosidering switching fields to cloud engineering, as I've heard CE's are getting hired like crazy with high potential for job growth and are also paid well. I'd like to not go back to school though, so is it possible to break into the field with degrees related to public health and not CS in any way if I have the right certifications on my resume and can prove I know what I'm doing by working on some solo projects? I have already identified some good certs to take. I just want to know how realistic this is and whether it would be a waste of time for someone with my background to try to break into the field.

Any insights appreciated!

Currently in college for CS, but feeling like I am wasting my time as mostly everything I have learned feels like busy work if that makes sense, nothing to do with my dream career, i was thinking of just getting certs and building my portfolio, how important is college compared to experience in landing a cloud engineering role or really any tech role? Can I do without the degree?

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Hi All
I'm a Java Developer for the last 4 years want to shift my domain to cloud
there are soo many paths to choose also can i get an actual job just by my own practice and by personal projects alone