honest worry or impostor syndrome

This is officially my first post on a reddit sub, i tend to just be reading a lot from here, but getting to the issue, recently i got a new role as DevOps Engineer mid level, chill job, making a new architecture to migrate one heavy ETL app, just one month in, not much meetings, no manager pursuing me every day, a really chill job (OBS: 8yoe on IT \~2-3yoe in Sysadmin/DevOps)

My biggest worry is on how i work, months from now i was an Tech Lead on a AI first company, so i got pretty used to use AI for a lot (ngl it facilitates it, really). Today i use it to make Pipelines templates, bicep templates and even troubleshoot some stuff regarding infrastructure.

The problem is, im using it too much and i dont know if this is a standard nowadays (i mean, it accelerate things BY A LOT if you know how to properly use it) or if im just being a dumbass that is outsourcing my own work just to not touch code.

How is it going for you guys? Maybe i should stop a bit and do something 100% by hand, intentionally delay stuff so i can get work on my own... Really confuse if this is acting correctly and i'm just with impostor syndrome (again).

https://redd.it/1w5jucj
@r_devops

Need Help , please some one give KT

Need help?

Anyone with experience in Devops, CI CD, pipelines, docker , kubernetes , Linux, Terraform, AI infra or any relevant Devops skill .

Can you guys please give me KT in your Free time over weekend or weekdays at your comfortable time...

I am having experience in IT , learning devops but lacking hands-on experience or real project experience in devops... And due to this I am not having confidence in interview. I fumble when I am asked about project experience.

I can buy you coffee or beer 🙏

https://redd.it/1w5kd34
@r_devops

CKA additional resources

Was preparing for CKA and took Kodekloud CKA course. Currently doing mock exams then moving into the ultimate CKA mock exam series.

However I have been reading that since 2025 there is a lot more emphasis on new topics like:

Helm, Kustomize, CRDs, Calico/Flannel, Cluster Upgrades/Installation, CNIs, CRIs, that I havent seen much in the labs/exams there or are really basic. I think the one that is most frequent is Helm.

What can I do to improve in these areas? What other new areas I missed (I am a bit familiar with Gateway API but recommendations on what to expand on this is also welcomed!)

Thanks!

https://redd.it/1w5ovti
@r_devops

Anyone else nervous about what coding agents can actually run?

Using Cursor a lot more with tools enabled. Love the speed. Don't love the part where the only thing between "delete this" and it happening is me watching the terminal.

Is anyone doing something more solid than prompts + hope, or do you just keep it away from prod/cloud entirely? Had any close calls?

Genuinely just curious how people are handling this.

https://redd.it/1w5p8cl
@r_devops

How do you solve long-term memory in AI automation workflows?

I've been thinking about AI automation lately, and I'm starting to feel like long-term memory might be one of the biggest problems.It's not just about making AI capable of controlling a screen. The AI also needs to remember what it's supposed to do.

There are already quite a few ways for AI to control screens, like OpenAI Computer Use, Claude Computer Use, Gemini Computer Use, as well as various hybrid approaches.The way these systems maintain memory seems to rely more on things like structured actions exposed by apps and the keywords being used in the current interaction. Personally, I don't think this approach works that well.

I also don't find this kind of screen-control approach particularly convenient.If I could use a hardware board to control the entire screen instead, that would make much more sense to me.Basically, you plug a hardware board into the device's USB port, and let the hardware capture the phone's screen and then control the device through USB HID.

I think this approach is pretty interesting because the AI doesn't necessarily need to know what API each app has, and it doesn't need a separate integration for every app.

It just needs to be able to understand what's happening on the screen and remember what it's supposed to do.So I feel like memory is actually the key problem here.

Are there any existing solutions or approaches that I should look into?I'd really like to understand how people are solving this problem.

https://redd.it/1w5iqqo
@r_devops

Stuck with progression

Been in IT for about 2 years. Have Compia Trifecta, CCNA, jamf pro. After the CCNA been stuck not knowing what to do. Been studying the MD-102 Endpoint cert for about a month but it’s so boring and I don’t think I want to become an endpoint/Intune admin. Prob will drop it.

My thought process is to create a very basic full stack web app (don’t know any frontend and only had a month studying python) -> then host it on my proxmox using terraform and docker as a learning tool for devops

Is this fine? Any suggestion? Creating the web app will take a while 1000%, and devops don’t need frontend knowledge, but there’s an itch in my brain to learn it though.

https://redd.it/1w5x0v0
@r_devops

Cloud Ops engineer (~2 YOE) - are these the right things to be building to grow into DevOps/SRE, or am I stacking resume-bait?

I run Cloud Operations across 8+ AWS accounts and I'm trying to deepen into real DevOps/SRE engineering rather than stay in monitoring-and-tickets land.

Looking for an honest technical gut-check on whether my day-to-day and my side projects are pointed at the right skills, or whether I'm building shallow things that look good on paper but don't hold up.

What the day job actually involves:

CloudWatch + EventBridge/SNS alerting across 8+ client accounts, SLA-based incident triage and root-cause isolation

Python (Boto3) and Bash automation for recurring housekeeping and health checks

SSM Patch Manager patching across \~15–20 Linux/Windows servers, plus in-place Windows Server upgrades

IAM least-privilege, KMS encryption, security groups, Site-to-Site VPN setup

AMI lifecycle management and a cross-region migration (AMI replication + post-migration validation)

Side projects (all Terraform + GitHub Actions):

An AIOps incident-diagnosis agent on AWS Bedrock — reads CloudWatch alarms, runs RAG over runbooks, returns a ranked remediation plan. Read-only, human approval before anything executes. Event-driven stack (Step Functions, Lambda, Bedrock KBs, Guardrails).

A CI/CD pipeline to ECS Fargate — GitHub Actions tests/builds/scans/pushes a Spring Boot API to ECR, deploys behind an ALB. Provisioned VPC + endpoints with Terraform, debugged endpoint/S3-gateway/ALB health-check timing to get zero-downtime deploys.

A self-healing EKS platform — multi-replica Deployments, Prometheus/Grafana, HPA scaling on CPU with automatic pod recovery.

The questions I actually want answered:

Depth vs breadth — is this a coherent skill progression, or three unrelated demos? Would you rather see one of these taken much deeper (real load, chaos testing, actual SLOs) than three at surface level?

The AIOps/Bedrock project — does a GenAI ops agent read as genuinely useful, or as hype-chasing that experienced engineers roll their eyes at?

What's missing — if you were leveling someone from Cloud Ops toward a solid AWS/DevOps/SRE bar, what's the single biggest gap in the above? (Observability depth? Real SLO/error-budget work? Networking? Something I'm not even naming?)

What would you build next in my position, and why?

Happy to share my resume personally if needed.

https://redd.it/1w5va0w
@r_devops

What's actually stopping your agent from doing something stupid in prod?

Every time this comes up the answer is "run it in a sandbox." Which, sure. But the stuff I actually want an agent for lives in staging and prod. Sandboxing it kind of just means it can't do the thing I wanted it to do in the first place.

So right now my entire safety net is me reading the command before I hit approve, and I'm not going to pretend I'm still reading those properly by the tenth one.

Is anyone running something that's actually built for this? As in it sees a dangerous command and kills it on its own, instead of me being the last line of defense. Or is everyone just living with it, because from the outside that's kind of what it looks like.

https://redd.it/1w5yefy
@r_devops

Help on picking which one to choose between data engineering and devops to transition from QA

Hello! As the title says, I'm a QA engineer and I'm trying to transition to a new position. Right now, I don't know whether to pick Data Engineering or DevOps. Regarding my skills, in my free time I'm learning Linux, Python (along with some MySQL), CI/CD, Docker, Kubernetes, and currently playing around with Azure. I'm asking because both seem interesting, but I don't know which one to choose to learn further.

Edit: also learnt some openshift and helm chart, because it was requested at my job

https://redd.it/1w612ly
@r_devops

Moving to DEVOPS

Hey guys,

I recently got the opportunity to move to a DevOps team, and I’m looking for some advice on how to prepare.

I have around 5 years of experience working in infrastructure and systems. Most of my experience is with:

VMware/vSphere and virtualization
Windows and Linux administration
Networking and troubleshooting
NetApp and storage
PowerShell scripting and automation
Monitoring, backups, and general infrastructure operations

I also have some beginner-level experience with Docker, Kubernetes, Git, GitLab, Argo CD, Ansible, and Terraform. I’ve built some labs and worked with them a little, but I definitely wouldn’t consider myself experienced with them yet.

I’m starting the new DevOps role next month, so I want to use this month to prepare as much as possible.

For people who moved from infrastructure/sysadmin into DevOps, what would you recommend focusing on first?

I’m mainly looking for a good Udemy course, YouTube course/playlist, or structured learning path that is practical and focused on skills I’ll actually use at work.

https://redd.it/1w65k4c
@r_devops

Do you build your own pipelines?

I work in a small team that deploys some internal products. No big user pool or database for me! We build small web apps that automate inner processes, and some scripts and jobs. Most of it runs on k8s, the apps and the jobs. We mostly run everyting on Azure. And everyting is managed by code, obviously, so we've build GitHub actions pipeline that live with the code to deploy our infra via bicep and the code via a test-build-deploy-promote pipeline, started on push.

But I've seen some platforms that propose full CI/CD as a services, and it feels like managing the pipeline yourself these days is a bad thing. To me, deploying a solution, especially in the containerization era, is simple; Run the tests, build the image, deploy the workload. Add some customization related to the app if needed (specific parameters, logging or testing jobs, etc). But is managing this code yourself a bad practice? I have to say, it does make for a lot of duplicate code in a lot of repos. The pipelines are very similar.

Should we always aim to use a standardized CI/CD platform? What tools do you use for CI/CD? How different do you handle it from a small project to a more important service?

https://redd.it/1w6cb8k
@r_devops

Jenkins Tutorial recommendations required

So mu company has asked me to learn Jenkians. Which tutorials or playlist would you suggest to learn jenkins? Please give your suggestions.

Also, how much time does it require to learn so that I can start writing basic CI/CD pipelines.

https://redd.it/1w6fkhr
@r_devops

CV Review — DevSecOps / Cloud Security internship
https://redd.it/1w6odjd
@r_devops

Anyone else interested in connecting with DevOps folks from different parts of the world?

I recently came across a post on Reddit from someone looking to connect with other DevOps professionals. I reached out, and we ended up moving the conversation to Discord.

It's been pretty nice having a place where we can talk about things we're working on, exchange ideas, troubleshoot things, and share what we've learned.

But the conversations haven't really stayed limited to DevOps - which is actually what I've enjoyed most.

We sometimes end up talking about things like:

How DevOps/tech work differs between countries
Differences in workplace and engineering culture
How people got into the industry and how their careers have developed
Tools, practices, and technologies people are using
Interesting things we're currently learning or building
And occasionally just completely random stuff 😄

I'd like to meet more people from different parts of the world and have more of these conversations.

You don't need to be a DevOps expert or have 10+ years of experience. If you work somewhere around DevOps, SRE, cloud, infrastructure, platform engineering, sysadmin, or software engineering - or you're simply learning in that direction - feel free to reach out.

We're currently a small group, and we'd like to keep it that way rather than turn it into a huge server full of people who never talk.

If you'd be interested in chatting and getting to know some other people in the space, leave a comment or send me a DM. Happy to connect.

https://redd.it/1w6w8c3
@r_devops

Thinking of backup plans

So i'm a senior software engineer with almost 9 years of experience, mostly backend stuff, a lot of AWS, serverless, Node.js and JavaScript in general. Lately i've been watching how fast everyone is adopting AI and honestly it's making me less interested in this field, or at least less sure about where it's going, and i don't want to just sit around waiting to see if i end up on a layoff list.

What i really want is a backup plan, something i can lean on if things go sideways, and DevOps or platform engineering feels like a natural step since i already live in AWS and deal with infra day to day, but i don't really know what the day to day is like or how it compares to backend work.

For those of you who moved into DevOps from backend, what did the transition look like, what did you have to learn that you didn't expect, and what would you focus on now so i'm not the one who gets cut? Any honest takes appreciated.

https://redd.it/1w6wdwv
@r_devops

How to secure SSH and Postgres with Warpgate
https://packagemain.tech/p/secure-ssh-and-postgres-with-warpgate

https://redd.it/1w6y24c
@r_devops

Implementation is getting faster but the org around it moves at the same speed as always and DevOps is in-between.

We all know that large organizations tend to have a lot of meetings, bureaucratic processes and are in general slow moving. That was true for a long time and I experienced that myself, having worked in multiple different companies from startups, scaleups and large corperations.

However since everyone now adopts AI and implementation speed is undeniable multiples faster. I mean it's not just implementation, but also a good part of DevOps. But the rest of the organization moves in the same speed as before. Even if the company uses AI in the other departments (my company does basically throw AI at everything, I guess you know what I mean), they still can't competet with the productivity change in software development.

The blockers are now decisions, requirements and communication. That's not completly new, but now its >95% of the time. I implement features in hours that would have taken days before (I am not a pure DevOps Engineer). And it's not the review process itself that blocks us (We use AI in reviews as well, because otherwise it would be impossible), it's the normal company processes and pace.

Don't get me wrong here, I kind of enjoy it a bit, because I can use a lot of time for learning, building stuff that I think is worth improving, but I think we have a general problem here that is basically systematic to every large organization. And I see that so called "AI native organizations" (what ever that means), will probably overtake tech companies in the long term.

I have a really good comparsion, because I am working with a startup as a side gig and my main job is in a mid-sized tech company. In the Startup we (2 devs) built a product that would have taken several months by a 5-person team in the past and the reason is mostly: decisions and communication.

Do you see that in your company?

My conclusion is that we need to make engineers owners of the feature/product + infra, otherwise we won't see much productivity gains and this means also that management layers need to be cut, because they are the bottleneck currently. The idea of centralized DevOps will is going to die I guess.

https://redd.it/1w6xqrv
@r_devops

Blacksmith.sh GitHub runners

I signed up for blacksmith about a week in I’ve got a $7 bill already. I’m also getting you’ve hit 80% of your free mins and you should add a payment method.

I’m seriously confused after being extremely impressed by how fast their runners are. Now I’m wondering what the heck is going on.

I tried to reach out to them but need a payment method to contact billing and no reply on the support@ email.

I’m happy to pay as the service is good but really surprised how they work/do business. I feel I could easily be in for future bull shocks.

Has this happened to anyone else.

Looks like I’m not the only one hit by this - https://forestwalk.ai/blog/surprise-blacksmith-costs/

https://redd.it/1w6yk47
@r_devops

How to create Planning, Design, Development, Testing, Deployment, Maintenance Pipeline? Please suggest sources

Hi everyone,

I recently watched a podcast featuring a senior developer from EPAM, where he explained the different phases of the SDLC. He mentioned that he built a pipeline covering the entire software development lifecycle—from planning and design to development, testing, deployment, and maintenance—with each stage flowing into the next.

I really liked that idea, and now I'm wondering how to build a pipeline like that myself. Does anyone have any good resources, guides, or examples to learn from?

Thanks!

https://redd.it/1w6vrgs
@r_devops

I built a safety tool for the AWS Console that switched itself off for 6 seconds every time you used it

I wrote a browser extension that adds a "you're in PROD, are you sure?" confirm to destructive AWS Console clicks. Capture-phase listener cancels the click, shows a dialog, replays the click if you confirm.

Trouble: some actions re-render their menu between confirm and replay, so the replayed click hit a detached node and did nothing. My fix was a short bypass window after confirming — for a few seconds, clicks pass straight through so the replay works.

The window wasn't scoped to the action you confirmed. It was global. So for \~6 seconds after confirming any destructive action, every other one was unguarded. Confirm a Lambda delete, click Terminate on an EC2 instance three seconds later, and it just goes.

A tester reported it as "the popup stops appearing sometimes." Not a UI glitch — the guardrail was switching itself off, on a timer, every time it ran.

Fix is one line — scope the window to the confirmed action:

// before
if (Date.now() < bypassUntil) return;
// after
if (Date.now() < bypassUntil && rule.label === bypassLabel) return;

The lesson that stuck: a bypass is a security control too. I wrote mine as a UI workaround, so I reviewed it like a rendering bug, not a security decision. Anything that turns your protection off — even briefly — deserves the same scrutiny as the protection itself.

Anyone else hit this class of bug — a temporary exception that was broader than intended — in auth caches, feature flags, rate-limit bypasses?

https://redd.it/1w6zhdi
@r_devops