Weekly Self Promotion Thread

Hey r/devops, welcome to our weekly self-promotion thread!

Feel free to use this thread to promote any projects, ideas, or any repos you're wanting to share. Please keep in mind that we ask you to stay friendly, civil, and adhere to the subreddit rules!

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

New to AWS: Project-based roadmap for production-ready infra? (Course & tutorial recs?)

Hi everyone,

I am completely new to AWS and want to learn through hands-on, project-based learning. My ultimate goal is to understand how to build and deploy production-ready infrastructure.

I'm looking for advice on the best approach:

Courses: Are there specific tutorials or paid Udemy courses you recommend for deep, production-level engineering?
Strategy: Should I follow structured courses first, or jump straight into a project and learn as I go?

If you were starting over today with this goal, what roadmap or courses would you choose?

Thanks for the help!

https://redd.it/1xrt02l
@r_devops

Go vs Python for DevOps: which one is more worth learning?

Besides Bash, which language is more worth learning for devops: Go or Python? Which one would you recommend focusing on?

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

How do you keep track of tools nobody uses anymore?

Our engineering team uses different tools for monitoring, testing, CI/CD, security, and cloud services. Over time, we end up with multiple subscriptions, and it is hard to tell which ones are still needed. The bigger problem comes when a project ends, someone leaves the team, or we switch to a different tool. Some subscriptions stay active because nobody remembers who signed up for them or when they are supposed to renew. We also do not have one place to check billing dates, costs, and who is responsible for each tool. Going through invoices every month is not exactly practical either.

How do you guys handle this in your teams? Do you keep a shared spreadsheet, review subscriptions every few months, or use something to track everything? And who takes responsibility for cancelling tools that are no longer needed?

https://redd.it/1xrvzy6
@r_devops

Sys admin to devops

I have been in IT industry for 2 years and really want to get into cloud engineering, cloud support, platform support roles or DevOps but have been struggling my cv is mostly as below can you give some experience and guidance? I generate a quick summary using AI as would like to avoid putting too much personal information. I would really appreciate advice on what would make you as hiring manager hire me for devops.

SYSTEMS ENGINEER

2024 – Present

• Administer and optimise on-premises and cloud infrastructure across Microsoft 365 and Azure environments.
• Design and maintain Azure resources
• Implement identity and access management
• Utilise Azure Monitor, Log Analytics, Microsoft Defender for Cloud, Defender for Identity and Defender EDR.
• Successfully delivered cloud projects including Microsoft 365 tenant migration, cloud transition initiatives and Defender XDR implementation.
• Support cloud infrastructure availability, disaster recovery, performance and security initiatives.

CERTIFICATIONS

• AWS Certified Solutions Architect – Associate
• Microsoft Certified: Azure Administrator Associate (AZ-104)
• Microsoft Certified: Identity and Access Administrator Associate (SC-300)
• Microsoft Certified: Azure Fundamentals (AZ-900)

PROJECTS

LARGE MICROSOFT 365 TENANT MIGRATION

• Participated in a large Microsoft 365 tenant-to-tenant migration project.
• Migrated Exchange Online, SharePoint Online, Teams and OneDrive workloads.
• Assisted with migration of more than 30TB of organisational data.
• Worked within a five-person migration team on planning, issue resolution and deployment activities.

AWS CLOUD RELIABILITY & OBSERVABILITY PROJECT

• Designed and deployed a serverless AWS solution using AWS Lambda, Terraform, Docker, React and LocalStack.
• Implemented Infrastructure as Code (IaC) concepts for cloud resource provisioning.
• Designed CI/CD workflow concepts for automated deployment and testing.
• Evaluated Amazon CloudWatch, AWS X-Ray and CloudTrail Insights for monitoring
• Implemented reliability patterns including retry mechanisms and failure testing.

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

I want to put secrets and env vars in git, fight me

So at work we have all the Kubernetes manifests in one repo then we have ArgoCD pointed at that repo. Within that repo we use kustomize and have a pretty vanilla kustomize setup:

/services
/my-app
/base
deployment.yaml
...
/overlays
/dev
kustomization.yaml
/prod
kustomization.yaml

So basically I would love to be able to do something like this:

/services
/my-app
/base
deployment.yaml
...
/overlays
/dev
kustomization.yaml
.env <- secrets stored as plain text here
/prod
kustomization.yaml

I understand why you don't want to commit secrets to git. I just wish there was a good way to do it. I have seen things like SOPS but I don't like that the secrets are encrypted. Having to deal with them being encrypted is as much of a headache as just using an external secrets manager. How can we have the convenience of putting the secrets in git in plain text and somehow still make it safe?

Edit: Adding my idea
What if in the repo I have a .env file but it just has placeholders

VERY_SECRET=placeholder

Then I have an ide plugin or something that will fetch the env vars dynamically in my ide.

I can change them as if they are code but when I commit they dont actually get committed, instead they get written to the external secrets manager. Anyone done anything like this?

https://redd.it/1xs6mlv
@r_devops

Do I need release branches in this workflow, or another long lived branch?

Developing a new workflow for my team but i am new to a lot of these concepts.

Current approach is generally:

1. Devs cut from main
2. Make changes & PR back to main. Automated tests run
3. At end of sprint, release branch is created, cut from main. Full integration test is run on this along with some manual checks. This technically runs every evening on main as well (minus the manual checks)
4. Github Release is created from release branch.
5. Hotfix - changes are PR into main same as any other change and cherry picked onto latest release branch. New release created.

Does this sound reasonable?

Another solution might be to have another long lived branch called prod. Hotfixes are PRs to both main & prod. Every sprint we merge main into prod, then Release from prod. This seems simpler, but maybe I’m missing something.

We are a data team using Dataform and really need to maintain multiple release versions like a software app, if that makes a difference

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

I built AgentStory to make Codex and Claude Code sessions easier to find, revisit, and share
https://www.reddit.com/r/devops/comments/1xrlgil/weekly_self_promotion_thread/19sdkizhtlw00/

https://redd.it/1xsc4pp
@r_devops

I made a free CLI that tells you which Dependabot alerts actually need fixing

Got tired of digging through lockfiles to figure out which Dependabot alerts mattered, so I built fixornix ("fix or nix").

Run npx fixornix in your repo and it sorts every open alert into:

Fix now, with the exact command or upgrade that unlocks it
Blocked, showing which package is holding it back
No fix yet
Not in your build: safe to dismiss (e.g. Linux-only crates when you ship Windows)

Works with npm, yarn, pnpm and Cargo. Zero dependencies, MIT.

https://github.com/munitkala/fixornix

https://redd.it/1xsbl3j
@r_devops

Future of Devops engineers with IA

Hello Folks , as a devops engineer, I'm curious about the future of our jobs

Will AI replace DevOps engineers, or will it simply change the way we work? What skills should DevOps engineers focus on to stay relevant in the coming years?

I'd love to hear your thoughts, experiences, and predictions!

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

Running additional checks after automated code review

Can somebody give me some guidance please. After you've run code review, what's the easiest/fastest/best way to check the changes against information outside the repo? Say, whether a connection-pool change will fit within the production database 's connection limit across all replicas.

Where does the check happen in your workflow? CI, a deployment gate, or someone checking it manually? Have you found a useful way to automate it?

https://redd.it/1xsr3pd
@r_devops

llx: a fast, lightweight coding agent in Rust: one 2.8 MB binary, any model, built for the terminal and CI

I've been building llx, an agent runtime that is a single static binary (2.8 MB, macOS and Linux, MIT). The video is a real session on Claude Haiku 5.5, with long model waits trimmed:

1. /model lists every model from the providers you're signed in to, and you pick one
2. it fixes a failing test in a sandbox: 5 s, $0.0007
3. two agents work in parallel (one adds mode() with a test, one writes a README), and the main agent checks their work
4. git diff | llx decide … answers a question about the diff in \~0.4 s
5. llx exec --schema checks the change as CI would and prints JSON

What it is

Five tools and nothing else: `bash`, `apply_patch`, `ask`, `agents`, `jobs`. No plugins, no MCP servers, no skills inside the agent.
Any provider: a ChatGPT sign-in, OpenRouter, or your own key for 200+ providers via the models.dev catalog. Switch models mid-session.
Sandboxed by default: commands run in the OS sandbox (Seatbelt on macOS, Landlock + seccomp on Linux). They write only inside the workspace (never `.git`), with no network; anything beyond that is asked. Rules come from your command line and settings, never from the repo.
Built for pipelines: llx exec runs one task, prints JSON events and ends with an exit code you can branch on. --schema makes it end with data matching your JSON Schema. --budget, --timeout and --max-turns cap a run. A GitHub Action wraps the same step.
A quick judgment for scripts and other agents: `llx decide "does this diff break the API?" --choices yes,no` prints one option on stdout. Pipe `rg` into it and you get a code search by what code does, not what it's named.

Try it

Site and docs: https://llx.sh
Source: [https://github.com/rsaryev/llx-cli](https://github.com/rsaryev/llx-cli)
Ready-made uses of llx: https://github.com/rsaryev/llx-cli/tree/main/examples

I'd love feedback, especially on the exec/decide workflow in CI, and on what breaks for you.

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

What’s the one tool in your stack you wish you could throw in the bin?

Not necessarily because it's completely useless, but because of the friction, overhead, or constant maintenance it causes your team.

Mine is Helm. What’s yours?

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

Need Guidance..

I'm a Devops engineer with 1.5 yoe. Currently working in a service based company I mostly work on tools like argocd, Githubactions, AWS. kubernetes, Openshift, Nginx, HAproxy, Terraform and Linux these are my major working techs. What more I can learn in Devops or I should learn AI development and move to AI engineering field?

https://redd.it/1xszn5r
@r_devops

How to learn while also completing tasks?

I got hired as a junior devops engineer and I want to learn more about the tools we're using to get a better understanding of them but I also need to complete tasks that I'm assigned. It just feels like there's a lot I have to learn since I haven't done most of the things I'm currently doing before.

How do you recommend balancing learning and working?

https://redd.it/1xt9f2g
@r_devops

What are DevOps Interviews like?

Hi guys!

For background im 19 from England working as a junior devops engineer, 1 year 3 months experience, looking around at hopping to other company's at the moment.

On a day to day I work with Prometheus, Grafana, an aiops system self service automstions (less so kubernetes and infra but more like just automating access to stuff), cloud (on a low level, i only manage around 20 ec2 instances and 2 ecs clusters) and front end dev for the self service

When interviewing initially I was simply asked knowledge questions like what is docker used for how is a docker file composed what is prometheus used for how would i begin debugging etc.

I know interviews arent standard from company to company but what do they tend to be like for DevOps engineers? Would it be a focus on like actually demonstrating with them watching similar to leetcode but for devops tooling or is it similar to my initial interview? Or a mix im not sure of!

Along with that, any advice on things I should be brushing up on as a junior?

Thanks!

https://redd.it/1xta5ra
@r_devops

Thinking about learning DevOps

Hey,

So I self-studied full stack dev, created a shift management app for my manager (I work as a guard) and I can't find a job in my country.

I was thinking, maybe I should go with DevOps and I have this question:

If a person studied full stack for 1 year, and other person studied DevOps for 1 year, then they both would look for a job, who would probably find a job faster?

Also, I would be really glad to get insights from you guys, since you know much more than I do!

https://redd.it/1xt9xum
@r_devops

Interesting projects to try hands on.

So I wanted to sharpen my skill with updating times and needs of the market. To keep myself relevant and my skills, I wanted to write some blogs on devops and advantages we can get with new advances of AI. Not only Kubernetes but simple devops projects that will peak interest of other like minded people.
Here are some projects I am working on rn:
1. Omnichannel social media application with Kubernetes, monitoring, load tests. Here I am stuck in representing real data or simulated data will it represent real data??
2. Backtrack generator free. Dmarcus model seems to be working nicely for this music isolation. How much resource will it take to scale and scale/usages metrics
3. I don’t know.. please add

https://redd.it/1xthno4
@r_devops

DevOps Engineers: How do you handle HR discussions when you're on a 60/90 day notice period?

I tried changing my notice period to 30 days on the Naukri portal, and I started getting more recruiter calls. However, I'm not sure how to handle the situations that come up during HR discussions.

Here are a few scenarios I've faced:

Scenario 1: Notice period discussion

If I tell them I'm currently on the bench and my company can relieve me earlier, they ask about my official notice period. When I mention that it's 2 months, they usually say they'll check and get back to me, but I never hear from them again.

Scenario 2: Already serving notice period

If I tell them I'm serving my notice period and give them my expected last working day (LWD), they ask whether I have an official LWD confirmation email.

Scenario 3: Existing offer and expected salary

If I tell them I have an offer of X amount and I'm expecting Y amount from them, they ask which city the offer is from and whether I'm open to negotiation. If I say I'm not open to negotiation, I usually don't hear back from them.

Scenario 4: Salary negotiation without an offer

If I tell them I'm serving my notice period but don't have another offer, they either don't offer a good hike or question why I'm serving my notice period without having another offer.

I'm mainly trying to get interview opportunities and secure an offer rather than getting filtered out during the initial HR discussion.

How do you guys handle these situations? Any suggestions or experiences you'd like to share would be appreciated?

https://redd.it/1xtiq74
@r_devops

Is an MS in CS worth it for an experienced SRE trying to move into infrastructure SWE?

I have 8+ years of experience in SRE/DevOps engineering, including writing some java

My undergrad was in Psychology with a CS minor. I'm currently pursuing a part-time MS in CS at USC

My goal is to move into more coding-heavy infrastructure SWE/platform engineering roles rather than traditional operations-focused SRE work.

I'm questioning whether the MS is worth the time and money at this point in my career, or whether I'd be better off focusing on projects, interview prep, and strengthening my coding skills.

Does having a non-CS undergrad still matter with my experience? Would an MS meaningfully help with this transition, or is it mostly unnecessary at this point? it seems pointless but a nice plus

Specifically I think my resume being ops heavy and being psych major cs minor for undergrad would be a small count against me that the masters would help. for context I also started personal projects and moved my resume to emhpasize my projects and coding exp at work

https://redd.it/1xtu2cc
@r_devops