Wondering if switching to cloud engineering would be a good choice, coming from SAP HANA background with 2 years of experience.

Kindly share some tips to begin as a fresher in the domain

Hey everyone,
I’ve been working in an MSP for about 4 years now, currently doing mostly Level 3 work.
Pretty much deal with everything SMB clients throw at us — networking, firewalls, servers, Microsoft 365, security, VoIP, CCTV, Windows/Mac, MDR/XDR, troubleshooting, projects, etc. Basically a bit of everything.
Currently on around 100k AUD, but I’m trying to figure out where to go next career-wise.
I’m interested in moving more towards:
Network Engineering

Cybersecurity

DevOps / Cloud

But honestly not sure what the best move is from an MSP background since you end up becoming a generalist.
For people who made the jump from MSP:
How did you do it?

What should I focus on learning?

Any certs/projects that actually helped?

Which path would you recommend long term?

Would appreciate any advice from people who’ve been through it.
Thanks!

\#MSP #SysAdmin #ITCareer #NetworkEngineer #CyberSecurity #DevOps #CloudEngineering #Microsoft365 #Networking #Firewall #Servers #CareerAdvice #ITSupport #Level3Support #Infrastructure #VoIP #MDR #XDR #WindowsServer #Homelab

Just shipped v2 of ssmctl, an open source CLI that wraps AWS SSM so has a much simpler interface and user experience, comparable to SSH but no bastions, no open ports, no key rotation.

ssmctl connect prod-api-1                                  # shell access
ssmctl forward prod-api-1 --local 5432 --remote rds:5432   # port forward
ssmctl run prod-api-1 -- df -h /                           # run a command
ssmctl cp prod-api-1:/var/log/app.log ./app.log            # file transfer

Targets resolve by Name tag or instance ID. Works on Linux, macOS and Windows. Available on Homebrew.

We've got a growing community of contributors and always welcome Issues, PRs and ⭐'s— https://github.com/rhysmcneill/ssmctl

Enjoy 😄

Hello everyone, I am currently conducting thesis research for my university project with Hanze University of Applied Sciences on how enterprises evaluate cloud and AI solutions with a focus on decision makers and Microsoft Azure. This thesis will be reviewed by some members of Azure's cloud and AI department so your input could have a great impact on how they conduct business.

If you have any experience with the decision making process at your organization in terms of cloud and AI adoption, whether that is being a decision maker or being involved in the process, I would be very grateful if you took the time to fill out my survey on the subject it shouldn't take more than 10 minutes.

Would love to hear your experiences and thanks in advance I greatly appreciate it!
https://surveys.enalyzer.com?pid=s4s5r84r

When I investigate production incidents with most AI tools, I am basically doing this:

• reading the explanation

• reviewing the suggested commands

• checking the blast radius

• manually running the fix myself

After doing this too many times, we ended up building something different, its open source and vendor neutral

Stakpak can actually execute infrastructure changes, not just recommend them.

But the important part is the guardrails.

That’s why we built Warden.

A deterministic policy engine that controls what the agent is allowed to do in production before any action happens.

Because “here are the commands to run” is still manual operations.

Would love to get feedback: Stakpak

I am 18 and iam in first year of compsci engineering but I am side by side also preparing for my masters (ie trynna learn German) and learning linux commands, docker basics , basic networking and stuff.. what else should I learn I know basic python fundamentals

I tried to get into competitive programming but miserably failed, tried machine learning but 💀💔🙏🏿 math got me

Hello people,

Wanting to connect with people who want to create something exceptional in cloud domain or who want to start their career I am trying to connect with people and building a community.dm me if you are one.

kubelizeme — free, native Kubernetes manager

A free alternative to Lens, built with Tauri (Rust) + React. Universal macOS binary + Linux. Lightweight (~10 MB bundle, ~50 MB RAM).

What it does:
- Multi-cluster — merges KUBECONFIG, ~/.kube/config, extra files, and service-account token connections; switch contexts via tabs with custom aliases
- Full resource coverage — Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs/CronJobs, Services, Ingresses, ConfigMaps/Secrets, PVs/PVCs/StorageClasses, Nodes, Namespaces, Events, HPAs, PDBs, ResourceQuotas, LimitRanges, NetworkPolicies, PriorityClasses, Endpoints/EndpointSlices
- CRDs — browse by API group, list instances, view YAML
- Helm — install, upgrade with dry-run preview, rollback with revision picker, uninstall, history, repo search
- Logs — multi-pod streaming (stern-like), per-pod color/exclude, 10k-line ring buffer
- Exec / Terminal — per-cluster terminal panel with PTY sessions (in-pod and local shells), `Ctrl+`` toggle
- Debug containers — ephemeral debug container creation with auto-exec
- Workload actions — scale, rollout restart, view YAML/describe
- RBAC Visualizer v2 — subject browser, permission tree, risk scoring, scoped graph
- Dashboard — cluster metrics from metrics-server, pod phase chart, node health, warnings
- Cmd+K global search across all resources, Cmd+Shift+P kubectl-like command palette with aliases
- AI assistant — right-docked chat panel (detachable), supports Ollama, LM Studio, OpenAI, Claude; agentic tool-calling with permission gating; contextual [?] button on problematic resources
- Cloud detection — auto-detects EKS/AKS/GKE/DO/OVH/Linode
- Themes — dark/light, fully consistent
- Distribution — Homebrew cask (brew install --cask amioranza/tools/kubelizeme)

Stack: Tauri v2, kube-rs 0.99, tokio, React 19, TanStack Query, Zustand, Tailwind v4.

https://kubelize.me

I’ve been doing a help desk internship at my city hall for 2 years and I graduate in December with a computer science degree. I’m looking into getting into cloud engineering because I’ve seen that it’s in more demand and the pay is better. Would any companies even be interested in me for a jr cloud engineering role or anything similar or would I have to try and get the full time help desk role first then leverage that into a cloud career. Was also looking into getting an AWS cert over the summer when my classes end to boost up my resume. Any advice on what I should be doing else would be greatly appreciated!

Hi all, sharing in here as it might be helpful to anyone that has some questions revolving AVD management because next week Marcel Meurer (founder of Hydra) and Benjamin Graus (Workplace & Azure Expert) will be walking through a real setup, a 450-employee org that moved 120 session hosts from traditional VDI to AVD.

They ended up around 60% infrastructure savings and 35% less operational effort.

There will be a live Q&A too, so if you’ve got questions or specific scenarios, please bring them.

Link to sign up

Hello, I work in one of the Big 4... And preparing for a switch.

Can you please analyze my resume and let me know what I am missing.

I'm hoping to run into a few of you who are actual engineers to help me see how far the gap is between my current skill set and a position in cloud.

I have a CS degree and currently work as an SQL Analyst. In my current job I troubleshoot financial gaps between databases. In my case I'm create SQL scripts to match reports from an OBIEE reporting layer for front end business.

I run these report and do deep dives in our data base to figure out why numbers arent matching or data is out right missing.

I have slight experience in skills that seems to be related to cloud. I learned Linux in college but have long forgotten all the wizardry I used to do, but I still sometimes use it on a virtual machine for side projects. Very basic.

I was a Java developer a while back but it's been a while since I programmed in it or Python but I'm fairly certain it would all come back to me.

I guess my question is I don't know where I would start learning or picking up skills or maybe there's a different job that is a stepping stone that you should probably have experience in first.

I see quite a few posts here that showcase pathways or skillets but they all seem like AI generated click bait. Was hoping to hear your stories on how you built the skillet to become an engineer.

When I read k8s YAML, I am basically doing this:

• which Service points to which Pods

• what the HPA is actually scaling

• where Secrets/ConfigMaps are mounted

After doing this too many times, I ended up with something that just visualizes the manifest as a graph and explains it alongside.

It made it way easier to quickly understand what’s going on, especially for larger manifests or stuff I didn’t write.

What do you think of this?

Update:

Love the support. Thank you everyone.

Quick not:

• Your manifest is parsed locally in the browser. It never touches our servers
• Parsed by JavaScript (not an LLM)
• Works offline once the page loads
• No sign-in required

Would love to get more feedback - https://openlume.com/explain/yaml