Cluster API to production: from Cluster API to GitOps with Argo CD and Kyverno

Hi everyone!
I just finished writing the second part of my Cluster API to production series: an article about configuring Argo CD to deploy applications on Cluster API tenant clusters with Kyverno.
The series bridges the gap between the Cluster API documentation and deploying production clusters.
The next part will be about configuring RBAC and service accounts for tenant clusters.

Even if you already have Argo CD set up, you might find the linked cluster Helm chart interesting.
The chart includes Argo CD applications configuring a telemetry exporter with OpenTelemetry Collector and FluentBit, centralized secret management and more.

https://redd.it/1i5ubjq
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How to go from IT Support to Dev Ops (or even developer in general)

I have a portfolio. I have been coding in java for years and I feel i'm well versed. 4 years in IT, and my two related jobs are coding adjacent but not full on coding.

Problem is, all positions I see are Senior Java positions. I can't get junior experience, so how can I even land a Senior position. I'm working in a programming adjacent IT role(implementation and review of code whilst supporting IT tickets)

I have the desire and the knowledge to move forward, I have worked in a lot of different frameworks. I know the basics(Spring Boot, Docker, Git, Jenkins) and my ability to grasp new tools is almost instantaneous. BUT i need a direction of where to even go. Resources are so limited too after college.

Everyone seems to pretentious to help as well, they think it should just fall into your hands or that you should already know what to do. I don't know what to do. I straight up cannot land a new job at all so I want to develop my skills a bit to give me an edge

https://redd.it/1i5whgy
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Building NixOS 24 Snapshots on Hetzner Cloud with Packer - My Learning Journey

Hey fellow DevOps engineers!

I've been wanting to try out NixOS for a while and finally took the plunge by setting up a proper build pipeline using Packer on Hetzner Cloud. I documented my experience in a blog post, hoping it might help others who are curious about the same stack.

What you'll find:
- Complete Packer configuration for building NixOS 24 snapshots
- The entire setup script including disk partitioning and NixOS configuration
- Real challenges I faced
- Bonus OpenTofu code for deploying servers from the snapshot

I'm definitely not a NixOS expert, and there might be better ways to do this. The configs are working but probably not optimal - I tried to document my thought process and include necessary explanations for each step.

If you've implemented something similar or have suggestions for improvements, I'd love to hear your approach. The main goal is to learn and share experiences with the community.

Link to blog post: https://developer-friendly.blog/blog/2025/01/20/packer-how-to-build-nixos-24-snapshot-on-hetzner-cloud/

https://redd.it/1i5v0ew
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How much "Go" is needed to learn?

Im going through KodeKloud's devops path and I was surprised to find the "Go" language as one of the languages to learn. Im experienced with C++/JS so I was able to mostly "skim" through it. That being said how much (or I guess how deep) is go actually used in devops?

I know Kubernetes/Docker are written in it, but I'm not sure what all a devops would write in actual Go?

https://redd.it/1i60qso
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Is Jenkins still popular enough to learn?

Pretending someone is JUST getting into devops, do you think learning Jenkins is worth the time investment vs other CI/CD tools (Gitlab/Github/Azure). Assuming you aren't already in a job that uses it.

FWIW: Im asking because KodeKloud has Jenkins on their devops path. Our company uses Gitlab so I figure it makes more sense to swap it out for their gitlab course.

https://redd.it/1i613zc
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I just worked on a project that optimized 95% of our package build time

So long story short, my director pointed out that other teams complained that our package build time was too long (1 hour). And those other teams were depending on this package to build. So it caused a huge bottleneck within the org.

So he asked me to look into it, and I was like, fine... First, i saw we were building two ruby versions sequentially, so I cut the time in half by just removing one release version since that one was deprecated (Ruby 2.5).

Then, I saw we were spending most of our time on running tests, so I was like, let me parallelize it. Then it cut build time to 15 minutes (from 30 minutes).

Finally, I kept thinking, can I do better? Then I realized our tests relied on a lot of I/O reads, and that can be cached into memory since it's fairly small (250MB). The in-memory cache I implemented ended up making the build time to be around 2 minutes.

I pushed the change out and wrote an email about it internally. All the other engineers went crazy because the efficiency improvement was so drastic (went from 60 minutes to 3 minutes).

This is crucial because now we can push code through the pipeline faster, and people can run local builds faster. It's a win-win situation across the board.

What are your success stories?

https://redd.it/1i63sak
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Python for DevOps.

Hello Everyone,


I just a question thats been bugging me, i basically want to learn python i know some might not need it and some jobs dont need python knowledge to be exact i want to learn python for devops i dont want to go to a tutorial to learn python for web dev when its something im not interested in, can anyone please help me by suggesting or providing any resource to know just how can i learn python for DevOps?

https://redd.it/1i638ef
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Thoughts on Unified Observability: One Vendor for Traces, Metrics, and Logs?

Lately been exploring the concept of unified observability, specifically the idea of having all traces, metrics, and logs under one vendor or tool. The promise of centralization sounds amazing—simplified troubleshooting, faster MTTR, data correlation and reduced complexity from managing multiple tools, agents vendor contracts etc.


However, I can’t help but wonder about some of the trade-offs:

Scalability and flexibility: Can a single tool handle the unique needs of different parts of an organization? Ex. Like some solution might be best at some but not others. Is the compromise here for some signals worth it bringing good developer experience since they not have to leave the tool?

Lock in: Though in context of data collection its technologies such as OTEL, Prometheus etc. But I am particularly fan of PromQL since this does not locks in the query language for metrics but with vendor such as Splunk, Dynatrace etc they have different language to query prometheus. Not speaking of logging, tracing here since I am not aware of any standard query language(Though I might be wrong and missing something).

SPOF(Single Point of Failure): If there is an outage with the vendor then your pipeline is halted.

Cost Savings: Big part is advertised as cost savings, does this really save cost?


I’d love to hear your experiences or thoughts.

https://redd.it/1i66sxy
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Which cloud server would you recommend for my app setup?

I am working on a personal project which is a webapp. And I wonder what the best remote server solution is to deploy. My stack is:

* python backend, react frontend. containers are packaged separately and communicate to each other
* use github for code repository
* use github actions/workflows for auto deploy
* use JFrog for docker container registry
* the app uses an sql database to store user data and object storage to store images and videos.
* the app uses ML models
* conventional models such as XGBoost, trained locally
* Small-sized open-sourced LLM models
* atm I don't use kubernetes, but in the future i may use

Here's a link to the system design that I drew: [https://docs.google.com/drawings/d/1iYBULmQBgFhDz8e7JKSV7Kx0u1CBQYnhWG2Vj8OFK1E/edit?usp=sharing](https://docs.google.com/drawings/d/1iYBULmQBgFhDz8e7JKSV7Kx0u1CBQYnhWG2Vj8OFK1E/edit?usp=sharing)

I want the app to be available 24/7. I expect a few hundred requests to backend per day at max. My questions are:

1. any suggestions for my DevOps flow?
2. which cloud service should I use to host this app?
3. what are the recommended registry and host for ML models?

In the past, with the similar setup but without ML models, I have used AWS EC2, S3 and RDS. Back then all I knew was a few Docker commands so packaged an image locally, uploaded to my Docker Hub, and pulled a container to an EC2 and manually run \`docker run\` commands. And I created a PostgreSql on RDS(separated EC2 instance) and opened a communication port to talk to the app. But to be honest, it was complicated because I had to install a lot of stuff(docker, git, etc) on EC2 and the cost was also expensive as a start. Now, I know how to use GitHub actions, I know a bit of Terraform, I also know how to use kubernetes and how to write helm charts. So I'd like to ask an advice on what solutions are available and recommended for me.

My profile is a data scientist and i'm learning CI/CD and DevOps. Thank you :)

https://redd.it/1i66hdl
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Suggestion on complete observability setup for my ORG

Guys, My organisation is an healthcare based and largely relies on Microsoft for everything, I mean everything, they are into Azure Monitor, Log Analytics and etc Microsoft based stack, Now they are building their own monitoring tool to even reduce the security risk of data exposure, I don't feel it is a right thing to build the entire suite on their own, what is the best approach to deal with this? Installing premade open-source stack? Or going for a vendor Splunk, Datadog or Newrelic? Most likely going to another vendor is not smooth a approval in my org unfortunately

Please share your monitoring and observability setup of your's.

https://redd.it/1i69004
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Open Source Dev Tool for app delivery, now with a portal

Greetings from the [Kusion\](https://github.com/KusionStack/kusion) maintainers. We are launching Kusion on [Product Hunt\](https://www.producthunt.com/products/kusion) today.

Long story short, it’s an open source dev tool designed to simplify cloud-native app delivery by taking care of the complicated infrastructure stuff so you can focus on building awesome applications. And here's the [slightly longer version\](https://kusion.kusionstack.io).

It used to be a CLI, and we are now adding a dev portal to help visualize everything. (CLI still works if you prefer it)

Swing by [Product Hunt\](https://www.producthunt.com/products/kusion) and take a look!

https://redd.it/1i69uux
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Openshift

Hi guys, I'm currently learning OpenShift. Does this course have a promising future? Also, please provide additional insights on the topic

https://redd.it/1i69u7y
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What are some of the Best DevOps Case Studies to enhance DevOps skills?

I'm looking to further deepen my understanding of DevOps practices and would love to explore some case studies that showcase real-world challenges in areas like CI/CD, cloud automation, especially ***Kubernetes***, or infrastructure as code.

If you've come across any excellent case studies, whitepapers, or detailed write-ups from companies (big or small) that you found particularly insightful, please share them!

A few points I'd love to learn about:

* How teams figured out what was going wrong.
* What tools/approaches do they use to fix it?
* How it all turned out in the end.

If you’ve got any recommendations—blogs, repos, talks, or even your own experience—I’d love to check them out!

https://redd.it/1i6eub1
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Github Actions monitoring a repository not in Github?

Has anyone got any experience using GHA to run pipelines on repositories stored in other Git provides such as Gitlab or Bitbucket?
Is it all done through Webhooks? What is the reliability of this?

https://redd.it/1i6fg3w
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Suggestions and recommendations

Hello guys,

I am trying to get a job in DevOps but i dont have experience in that field specifically and everyone expects candidates to do have.

I worked as a network and security engineer first, now i am doing automation with python (3 years experience overall), So i am very confident with those two fields.

I know a little bit of linux, a little bit of ansible and terraform and a little bit of CI/CD.

I have also studied for the AWS solutions architect but i did not take the test yet.

Is there any dummy projects, or follow alongs that i can do to help me gain hands on?

I am also willing to help anyone with their projects if that is possible somehow.

Thanks,



https://redd.it/1i6gfq1
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Devops Mentorship

Hello everyone. I am still at early stage of learning devops, And I am looking for mentorship. Someone I can have access to help explain some concepts and strategies and why devops do what they do in various scanarios of real life projects and not just theoretical concepts.

I know there are many resources out there to learn from, but a guided and systematic learning approach can help a lot.

Please you are interested. We can creat a group and begin from there.

Thanks


https://redd.it/1i6gzsm
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Optimizing AWS Lambda for cost savings

In this blog I discuss the different ways AWS Lambda can be optimized for cost savings.
https://www.cloudyali.io/blogs/the-ultimate-guide-to-aws-lambda-cost-optimization

https://redd.it/1i6jo7w
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How to proprely monitor ASG instance refresh with CICD pipeline

Looks like the AWS Autoscaling group instance refresh has a hardcoded timeout of one hour as stated here. The issue is that I dont want my CICD pipeline to fail after a whole hour if my new instance(s) is failing. Any of you got into the same situation?

https://redd.it/1i6kll7
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The Double-Edged Sword of Accountability Groups (and How I’m Tackling It)

I’ve been noticing a theme lately, both in conversations with other engineers and in my own head: that feeling of falling short. In DevOps, where the pace is relentless and there’s always a new tool, a faster deployment, or another certification to chase, it’s easy to feel like you’re not doing enough.

Joining an accountability group made this even clearer for me. At first, I loved the structure, the camaraderie, and seeing everyone’s wins. But then I started feeling this weird pressure, like everyone else was smashing their goals while I was barely keeping up. Accountability groups, I’ve learned, are a double-edged sword. They can motivate and push you forward, but if you’re not careful, they can also make you hyper-aware of how much further you think you need to go.

What’s helped me is reframing the way I see progress. Instead of comparing myself to others in the group, I compare myself to who I was yesterday. I track small wins, celebrate them, and focus on personal goals that matter to me. At the same time, I try to see others’ successes as a chance to learn or be inspired not as a reflection of what I’m lacking.

DevOps (and life) is a marathon, not a sprint. If you’ve ever felt this way, you’re not alone. Have you had a similar experience with accountability groups? How do you make sure they stay helpful instead of stressful? Let’s talk."

https://redd.it/1i6jnr0
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WeTube: Open Source Video App for Everyone

Excited to share **WeTube**, now open-source and ready for the community! WeTube offers an ad-free, immersive video experience with features you’ll love. Built for collaboration, designed for entertainment. 🎉

# Key Features:

* **Ad-Free Viewing**: Enjoy uninterrupted videos.
* **HD Streaming**: Access videos, music, and short dramas in stunning clarity.
* **Popup & PiP Modes**: Multitask effortlessly.
* **YouTube Integration**: Like, save, and subscribe with ease.
* **Mini-Games**: Play fun games without leaving the app.
* **Privacy-Focused**: No play history or intrusive suggestions.

# Why Open Source?

We believe in the power of community! With your contributions, we can:

* Add innovative features.
* Fix bugs and enhance performance.
* Build a collaborative space for learning and sharing.

# How to Join Us:

1. Visit the codebase: [WeTube](https://github.com/Purehi/wetube_flutter)
2. Report bugs or suggest features.
3. Contribute and help us grow.

Let’s make WeTube the future of open-source video apps. Check it out and share your feedback! [WeTube](https://github.com/Purehi/wetube_flutter)

https://redd.it/1i6jhze
@r_devops

What's your setup on AWS for HC Vault?

Hey all! I'm just getting into Vault and I'd like to self host a small cluster. I was curious if any of you have any good architecture references/tutorials? I'm not finding a whole lot of A-Z.

Also curious about those of you using the dedicated option and whether or not you feel it's worth it?

Cheers.

https://redd.it/1i6szhr
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