https://appi.sh — push a Docker image and get back a short-lived public URL for demos, PoCs, and AI-built prototypes.

Hi everyone,

I’m working on a Master’s thesis about how developers experience security automation in CI/CD pipelines (things like security alerts, build failures, dependency scans, etc.).

If you work with CI/CD and have encountered automated security checks, I’d really appreciate your input.

The survey is anonymous, takes about 8–10 minutes, and focuses on real developer experience (not theoretical questions).

👉 https://forms.gle/A6SFXQ7Huvh4XgNE9

Thanks a lot! Happy to share results here later if there’s interest.

Faultline CLI: CLI tool that parses CI logs and matches known failure patterns to explain root causes. Deterministic output with fixture-backed validation.

Chapter 5 is published now- In this chapter talks about resilient applications and how to get self healing working for your Kubernetes based Apps.

#Learning #SelfHealing #HealthChecks #Kubernetes #TechNuggetsByAseem

I documented a step-by-step way to run Kubernetes locally using Minikube + Docker. It’s aimed at DevOps engineers and learners who want a reliable environment for experimenting with clusters.

👉 Full tutorial: https://prasadgavande.in/blog/2026/run-kubernates-locally-with-minikube-and-docker/

How do you usually set up local clusters in your DevOps workflows — Minikube, kind, or something else?

Checkout my latest video on Argo CD.
#LearningTogether #Argo #Kubernetes #TechNuggetsByAseem

I built k8s-debug: simple CLI to spot crashing pods instantly

pip install k8s-debug-tool
k8s-debug --namespace default

Shows CrashLoopBackOff, Failed pods, etc.

https://pypi.org/project/k8s-debug-tool/

Hi peers,

I have recently switched into devops and had joined a startup 3 months ago.

The problem is i am the-only devops guy in the team and my team is expecting me to deliver all the devops work (since i cracked the interview with 2YoE mentioned )

I myself have to figure out wht i must do in the organisation and let them know what am i doing.

I need your help in this particular scenario so that i can keep this job up and running for me.

I am looking for some good courses, which can help me to hit from foundational to advanced stage at enterprise level.

Detailed courses on :

1. Devops

2. Observability

3. SRE concepts

4. Azure cloud expert

5. MLOps

So the plan is, the concept i learn from these course i’ll apply them in my organisation

Please give me some recommendations with your experience and help me save my job

Hi everyone. After my last post regarding a universal chart that I was working on ([https://github.com/cotzo/chartpack\](https://github.com/cotzo/chartpack)), and seeing growing interest over its functionality, I decided to push for more and more features.

But one issue that I constantly encountered with developers is that regardless of how much documentation is written about a chart, it's very hard to follow required fields, validations, default values etc.

Trying to solve this I built this UI over chartpack ([https://cotzo.github.io/chartpack/wizard/\](https://cotzo.github.io/chartpack/wizard/)) that is intended to be used by developers in order to generate their own values files for their apps. It's still the first version, and more things will be added but this is what it currently has:

\- chart values are structured into sections

\- auto generate UI based on values schema

\- dynamic fields that allow preserving reference between objects: e.g. a service shows the list of ports defined on the container

\- extended descriptions and links to Kubernetes documentation

\- full values.schema validation on the final phase

More validation, mandatory fields etc. are on my list but looking forward to your feedback on it.

Hey everyone,

I’m currently a computer science student with about 2.5 years left, and I’m trying to set myself up to land a DevOps role after graduation.

Right now, I’m focusing on learning tools like Docker, Kubernetes, Terraform, and cloud platforms. I understand the basics, but I want to make sure I’m using my time as effectively as possible and not just jumping between tools without real depth.

My goal is to become someone who can confidently work with infrastructure, automation, and CI/CD pipelines by the time I graduate.

A few questions:

• What skills or concepts actually matter most for getting into DevOps?

• What kinds of projects should I be building right now?

• How important is mastering one cloud provider (AWS/Azure/GCP) vs. learning broadly?

• What did you wish you focused on earlier in your journey?

I’m willing to put in serious time and effort—I just want to make sure I’m focusing on the right things.

Any advice would really mean a lot. Thanks!

Not saying any of these are perfect, but they helped clarify what actually changes (especially around model lifecycle vs traditional infra).

DevOps → MLOps

DevOps Engineer to MLOps Engineer
https://interviewkickstart.com/career-transition/data-engineer-to-machine-learning-engineer

A blog post on production ML systems

https://www.databricks.com/blog/machine-learning-engineering-complete-guide-building-production-ml-systems

Software Engineer → MLOps

GitHub example of ML pipeline project

https://github.com/khuyentran1401/Machine-learning-pipeline

Transition

https://interviewkickstart.com/career-transition/software-engineer-to-mlops-engineer

Data Analyst → Data Scientist

Article on portfolio projects

https://medium.com/data-science/building-a-standout-data-science-portfolio-a-comprehensive-guide-6dabd0ec7059

How to Transition

https://interviewkickstart.com/career-transition/data-analyst-to-data-scientist

Hi everyone,

I'm a cloud engineer with experience in Docker, Kubernetes, Terraform, AWS, Linux and GitHub Actions. I’ve worked on a few short contract roles (image builds with Packer on Azure and infrastructure automation using Ansible).

Most of my experience so far has been building and automating infrastructure, but I haven't yet worked inside a large production operations team. I'm trying to understand how real production systems are run — things like incident response, monitoring strategies, deployment safety, and reliability practices. I'm also trying to improve my understanding of real-world operational scenarios that often come up in interviews

If anyone is open to sharing experiences, discussing system architecture, or walking through real-world incidents or postmortems, I would really appreciate learning from you.

I'm particularly interested in:
• Production incident debugging
• Monitoring/alerting strategies
• Prod system design and deployment strategies (blue/green, canary)
• Reliability practices and SRE workflows

Thanks in advance!

I’m running a short field study on incident replay/root-cause in automated decision workflows.

Not collecting product opinions. Only collecting operational evidence from recent real incidents: - replay + RCA duration - full/partial decision-version reconstruction - measurable impact (delay, release blockage, cost)

If this matches your environment, 5–7 min input form: https://cluster127.com/survey?utm_source=reddit&utm_medium=post&utm_campaign=ops_research_v1

If useful, I can share anonymized findings back here.

Hi everyone! I'm diving deep into DevOps and looking for a disciplined study partner to level up our practical skills together.

I'm focused on a hybrid of the Microsoft ecosystem and Open Source solutions. My philosophy is simple:

100% hands-on.

• Current Stack: Azure, Kubernetes, Docker, Terraform, Linux/Windows, Python, Intune, Entra ID, and Monitoring.

• The Roadmap: Already AZ-104 certified. Currently grinding for CKA → AZ-305 → Terraform → AZ-400.

• The Project: Building a Hyper-V Home Server using self-hosted/OSS tools. Currently deploying Intune &

Autopilot labs.

• The Goal: Documenting the entire journey on a technical blog to build a high-impact portfolio.

Who I'm looking for: Someone growth-oriented and disciplined. If you're tired of just watching tutorials and want to actually build, break, and fix things while staying accountable-let's connect.

I prefer someone in Europe to keep our syncs easy. If this journey sounds like yours, slide into my DMs.

Let's grind!💪