Good tip

I came across this tip and couldn't help but share it it's so good and useful

I think we should follow him and help him reach 10 followers

https://x.com/username_husan/status/1950368472258793538?s=46

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

Are these real-time DevOps projects?

I came across this website which has DevOps projects. The author mentioned that those are real-time DevOps projects. There are 7 pages on this website and 37 projects(as of now). Could some experienced DevOps engineers please visit the link below and confirm if these are real-time projects if possible?


https://projects.prodevopsguytech.com/blog

Thanks for your valuable time.

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

Using Vector search for Log monitoring / incident report management?

Hi I wanted to know if anyone in the DevOps community has used vector search / Agentic RAG for performing the following:

🔹 Log monitoring + triage
Some setups use agents to scan logs in real time, highlight anomalies, and even suggest likely root causes based on past patterns. Haven’t tried this myself yet, but sounds promising for reducing alert fatigue.

This agent could help reduce Mean Time to Recovery (MTTR) by analyzing logs, traces, and metrics to suggest root causes and remediation steps. It continuously learns from past incidents to improve future diagnostics.Stores structured incident metadata and unstructured logs as JSON documents. Embeds and indexes logs using Vector Search for similarity-based retrieval. High-throughput data ingestion + sub-millisecond querying for real-time analysis.

One might argue - why do you need a vector database for it? Storing logs as vector doesn't make sense. But I just wanted to see if anyone has a different opinion or even has an open source repository.

Also would love to know if we could use vector search for some other use-case apart from log monitoring - like incident management reporting



https://redd.it/1mczb0a
@r_devops

Project N1netails

# 🧠 Story time:

I started building N1netails after a moment at work that really stuck with me. One of my production support teammates started flipping tables (literally) after getting a Splunk alert 15 minutes too late. By the time we were notified, the issue had already escalated. That experience got me thinking:

I actually like Splunk, but I also think there are some real problems with it:

1. High learning curve – You basically need to take a course just to be productive with Splunk. Because of this, most of our production support folks weren’t using it properly — or even at all.
2. Poor context – I’d get notified by a Splunk alert, but then I had to spend valuable time digging to figure out what actually went wrong. The alert itself wasn’t enough.
3. Query throttling – In big organizations, querying Splunk often means getting throttled. You’re hunting down a bug, and suddenly your queries stop loading. It’s frustrating and slows everything down.
4. Centralization – Again, great for security teams. But as a developer, I just want to be alerted on issues related to my services. Competing for Splunk resources across a large org is overkill if all I want is simple service-level alerting.

So that’s why I built N1netails.

The name comes from two ideas:

* N1 = Think “Big O” notation — O(1), O(n), etc. — but the goal is to get fast, direct insights. N=1.
* ne = Any
* Tails = Like tail -f, watching logs in real-time.

Put it all together and you get N1netails.

The goal? Get notified ASAP when something breaks in the systems that matter to me and my team.

As a developer, I don’t need a full-blown SIEM to monitor the entire company. I just want to know when my stuff is broken — and ideally have some help understanding what happened.

That’s why N1netails includes:

* A prebuilt dashboard (no setup required)
* Stack trace capture
* LLM assistance for debugging (through a helper named Inari)

I also made it easy to self-host. You can check it out here:

* SaaS: [https://app.n1netails.com](https://app.n1netails.com/)
* Docs: [https://n1netails.com](https://n1netails.com/)
* GitHub: [https://github.com/n1netails](https://github.com/n1netails)

Right now, it’s optimized for Java and Spring Boot, but I’m working on expanding support to other languages and platforms.

I know people will probably say, “Why make this? There are tools for this already.” And that’s fair. But I’m building this because I’ve used those tools, and I still believe there’s room for something better — or at least something simpler.

I’m not trying to replace Splunk. N1netails can supplement the tools you already use and help with the day-to-day debugging, triage, and monitoring that’s often overlooked.


N1netails is an open-source project that provides practical alerting and monitoring for applications. If you’re tired of relying on overly complex SIEM tools to identify issues — or if your app lacks alerting altogether — N1netails gives you a straightforward way to get notified when things break.

Thanks for reading. If you want to try it, give feedback, or contribute, check out the repo.

And feel free to leave your hate comments or tell me why you love Splunk. I don’t care. I’m building this because I believe there’s a better way to handle alerts — and I want to help others who feel the same.

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

Building a Game

Im looking for a devs to design a game from A to Z. Html based with crypto wallet connection and remote playing. Contact me for more details

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

Why Git Branching Strategy Matters in Database DevOps?

Hey folks,

I've been working a lot with CI/CD and GitOps lately, especially around databases and wanted to share some thoughts on Git branching strategies that often cause more harm than good when managing schema changes across environments.

🔹 The problem:
Most teams use a separate Git branch for each environment (like dev, qa, prod). While it seems structured, it often leads to merge conflicts, missed hotfixes, and environment drift — especially painful in DB deployments where rollback isn’t trivial.

🔹 What works better:
A trunk-based model with a single main branch and declarative promotion through pipelines. Instead of splitting branches per environment, you can use tools  to define environment-specific logic in the changelog itself.

🔹 GitOps and DBs:
Applying GitOps principles to database deployments — version-controlled, auditable, automated via CI/CD, goes a long way toward reducing fragility. Especially in teams scaling fast or operating in regulated environments.

If you're curious, I wrote a deeper blog post that outlines common pitfalls and tactical takeaways:
👉 Choosing the Right Branching Strategy for Database GitOps

Would love to hear how others are managing DB schemas in Git and your experience with GitOps for databases.

https://redd.it/1md2gw1
@r_devops

I built a local AI assistant like ChatGPT that runs 100% offline – No data leaks, no internet, just private intelligence

Hey folks,
I’m a developer and I recently built a **fully offline AI assistant** that you can run on your local computer — kind of like a private Jarvis, but with zero cloud dependencies.

It uses a locally hosted LLM (like LLaMA 3 or Mistral) + offline voice support + a simple desktop interface. You can talk to it, ask it to code, explain stuff, summarize files, or even build dev tools — all **without your data ever leaving your computer**.

# Features:

* 100% local: no internet or cloud access needed
* Can understand and generate code
* Voice input and output (like Jarvis)
* No OpenAI, no Google, no Gemini — just your own secure AI
* Perfect for devs, sysadmins, and companies that banned ChatGPT

I made this because I saw so many developers being blocked from using ChatGPT at work due to **data privacy rules**. This solves that.

Would love to hear what you think — and happy to give early access or even walk you through setting it up.



https://redd.it/1md3zkd
@r_devops

Managing Alpine Linux with Sparrow automation tool

https://asciinema.org/a/730670 - Sparrow is a lightweight alternative to Ansible for operations managing Linux boxes

https://redd.it/1md57ix
@r_devops

DevOps Engineer Interview with Apple

I have an upcoming interview tomorrow for a DevOps position there and would appreciate any tips about the interview process or insights or any topics

https://redd.it/1md7cek
@r_devops

CI/CD pipeline testing with file uploads - how do you generate consistent test data?

Running into an annoying issue with our CI/CD pipeline. We have microservices that handle file processing (image resizing, video transcoding, document parsing), and our tests keep failing inconsistently because of test data problems.

Current setup:

* Tests run in Docker containers
* Need various file types/sizes for boundary testing
* Some tests need exactly 10MB files, others need 100MB+
* Can't commit large binary files to repo (obvs)

What we've tried:

* wget random files from internet (unreliable, different sizes)
* Storing test files in S3 (works but adds external dependency)
* dd commands (creates files but wrong headers/formats)

The S3 approach works but feels heavy for simple unit tests. Plus some environments don't have internet access.

Built a simple solution that generates files in-browser with exact specs:

[https://filemock.com?utm\_source=reddit&utm\_medium=social&utm\_campaign=devops](https://filemock.com?utm_source=reddit&utm_medium=social&utm_campaign=devops)

Now thinking about integrating it into our pipeline with headless Chrome to generate test files on-demand. Anyone done something similar?

How do you handle test file generation in your pipelines? Looking for cleaner approaches that don't require external dependencies or huge repo sizes.

https://redd.it/1md8u5p
@r_devops

"Have you ever done any contributions to open source projects?"

No. I got a family and kids. Welp. Failed that interview.

Anybody got any open source projects I can add two or three features to so I can tick that off my bucket and have something to talk about in interviews?

These things feel like flippin marathons man! So many stages, so many non relevant questions,

https://redd.it/1mdbkh1
@r_devops

What enterprise firewall would you go with?

We’re evaluating enterprise firewalls and I’d love to hear the community’s current opinions.
If you were selecting a next gen firewall for a medium to large organization today, which vendor would you go with and why?

Some key factors we’re weighing:

Security capabilities: threat prevention, IDS/IPS, sandboxing, SSL inspection

Performance and scalability

Ease of management / policy deployment

Integration with existing infrastructure (SIEM, EDR, etc.)

Licensing and support quality

Cloud/hybrid environment compatibility

Vendors on our radar include Palo Alto, Fortinet, Cisco (FTD), Check Point, and maybe Juniper or Sophos.

Would love to hear what’s working or not in real world environments. Bonus points if you share insights on cost effectiveness and vendor support. All help appreciated!

https://redd.it/1mdd3ex
@r_devops

SOC2 auditor wants us to log literally everything

Our compliance team just handed down new requirements: log every single API call, database query, file access, user action, etc. for 7 years.

CloudTrail bill is going to be astronomical. S3 storage costs are going to be wild. And they want real-time alerting on "suspicious activity" which apparently means everything.

Pretty sure our logging costs are going to exceed our actual compute costs at this point. Anyone dealt with ridiculous compliance requirements? How do you push back without getting the "you don't care about security" lecture

https://redd.it/1mdhs0a
@r_devops

Spectral: The API Linting Tool You Need in Your Workflow (Blog + Free GitHub Demo)

Hey 👋 folks. I don’t want to be another guy just shamelessly plugging content but I genuinely think this is an awesome tool. If you’re not aware, or using it yet, or even just wanting to learn something new that’s free I figured it’s worth a share.

I’ve written up about why it’s useful, and a run through on how it works in practice. (Even linked Adidas spectral config they open sourced, which is pretty cool to draw inspiration from your own styling governance for APIs.)

https://rios.engineer/spectral-the-api-linting-tool-you-need-in-your-workflow-🔎/

But if reading isn’t your thing, you can just check the GitHub repo demo I’ve setup to check out as instead: https://github.com/riosengineer/spectral-demo

Anyone else using Spectral in anger? I love tools like this.



https://redd.it/1mdktb2
@r_devops

What is something you'd like to see built?

Im a bored and experienced developer with a lot of free time on my hands.

Is there anything you'd want to see built or something you wished existed?

Edit: idc about money. Just wanna spend my time productively by helping out wherever i can

https://redd.it/1mdmhy4
@r_devops

Prototyping a tool to simplify deploying to cloud and deliver apps globally with high availability

TL;DR: I'm protoyping tool that simplifies provisioning and managing cloud compute nodes (called "Scales"), letting you take local applications to the cloud quickly without dealing with IPs, VPNs, SSH keys, or load balancers. It bridges the gap between local development and production.

I'm looking for feedback from developers and devops engineers. I'm looking to have a discussion about this.

Checkout a demo: https://youtu.be/XbIAI5SzG3A

# The Problem I'm Trying to Solve

Deploying to and managing cloud VMs on platforms like DigitalOcean and EC2 is pretty complex with many challenges like:

Managing IPs, SSH keys, VPNs, and firewalls.
Vastly different development environment and production environment.
Global and highly available ingress for application deployments.

# What I'm Trying to Make

Provision cloud compute nodes in the regions closest to your users.
Connect to nodes for development and management without needing VPNs, public IPs, or open SSH ports.
Deploy apps to nodes from **localhost** quickly, whether it’s a web app, API, or self-hosted tool.
Expose apps on nodes with an out-of-the-box application load balancer and regional routing to nodes closest to your users. A proxy with points of presence sits in front of your nodes and handles failover and routing.
Easily network nodes together for micro services.

# Examples

p scale create --region us-west --name my-node --size small

# SSH into the node.

p my-node connect
> echo "hello world"
> ls ./

# Bring your local container stack to the cloud.

p my-node docker compose up -d

# Copy local files and build artifacts to cloud with SCP, SFTP, etc.
# Run remote commands quickly without a full SSH session.

p my-node transfer ./local-app /app
p my-node exec npm run test

# Deploy app templates

p my-node deploy postgres
p my-node deploy grafana

# Use the built in proxy which provides load balancing, caching, rate limiting, and SSL certificates.
# Expose your apps with a domain name, high availability, and regional routing.

# Looking for Feedback!

Would a tool like this solve problems for you? What features would you like to see? Let me know your thoughts!

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

Serverless architecture or a simple EC2?

Hey everyone!

I'm starting a new project with two other devs, and we're currently in the infrastructure planning phase. We're considering going fully serverless using AWS Lambda and the Serverless Framework, and we're weighing the risks and benefits. Our main questions are:

* Do you have a mature project built entirely with this stack? What kind of headaches have you experienced?
* How does CI/CD, workflow management, and environment separation typically work? I noticed the Serverless Framework dashboard offers some of that, but I haven’t fully grasped how it works yet.
* From a theoretical standpoint, what are the key questions one should answer before choosing between EC2 and Lambda?

Any insights beyond these questions are also more than welcome!

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

Buying Kodkloud Subscription

If anyone is interested in buying Kodkloud pro Subscription together, ping me up.
We can buy together and share the credentials.

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

What are the most useful WSLg applications you use at work?

I am running docker on WSL2 and I was wondering what are the best applications to use that allows you to run a GUI app on Windows? I downloaded GitKraken, but I realized it wasn't open source and had to find something else. Aside git tools, is there anything else I should get?

https://redd.it/1mdom12
@r_devops

Looking for advice about cloud setup for start

We tried free tier 1 vCPU and 1 GB RAM, that was bad. We decided to find cheap and powerful VPS and found one. This setup we selected and we don't sure that this is enough for start: 4 vCPU, 8 GB RAM, 80 GB disk. Will it be good for production for complex API, App build, DB, cache, message broker and web server (5 containers at all)? We wish to accept hundreds of users per first days, maybe more. If it would be not enough in the future, we gonna migrate to bigger one.

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

Keeping up with new technologies

I am a 26M working as a devops engineer from 5 years on On premise platform. I have never worked on cloud , I have experience with sonarqube, git , artifactory,etc. But with AI coming into picture nowadays and cloud is also everywhere. Lately , I am feeling like a lot behind . Please tell me what to do and where to start

https://redd.it/1mdyp58
@r_devops